Error, signal, and the placement of Ctenophora sister to all other animals
Open accessAbstract
Elucidating relationships among early animal lineages has been difficult, and recent phylogenomic analyses place Ctenophora sister to all other extant animals, contrary to the traditional view of Porifera as the earliest-branching animal lineage. To date, phylogenetic support for either ctenophores or sponges as sister to other animals has been limited and inconsistent among studies. Lack of agreement among phylogenomic analyses using different data and methods obscures how complex traits, such as epithelia, neurons, and muscles evolved. A consensus view of animal evolution will not be accepted until datasets and methods converge on a single hypothesis of early metazoan relationships and putative sources of systematic error (e.g., long-branch attraction, compositional bias, poor model choice) are assessed. Here, we investigate possible causes of systematic error by expanding taxon sampling with eight novel transcriptomes, strictly enforcing orthology inference criteria, and progressively examining potential causes of systematic error while using both maximum-likelihood with robust data partitioning and Bayesian inference with a site-heterogeneous model. We identified ribosomal protein genes as possessing a conflicting signal compared with other genes, which caused some past studies to infer ctenophores and cnidarians as sister. Importantly, biases resulting from elevated compositional heterogeneity or elevated substitution rates are ruled out. Placement of ctenophores as sister to all other animals, and sponge monophyly, are strongly supported under multiple analyses, herein.
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Claims the paper makes
35 of 80 cited sources checked · 14 supported · 3 flagged · accuracy not yet measured
- Interpretationown data
The argument that long-branch attraction or saturated datasets caused past studies to find ctenophores sister to all other animals seems to have been overstated.
“The argument for LBA (7-10) or saturated datasets (7, 8) as the reason past studies found ctenophores to be sister to all other animals seems to have been overstated.”
Quote in the paperSubstantial claim2 of 4 sources checked- cites [7] 7. Nosenko T, et al. (2013) Deep metazoan phylogeny: When different genes tell dif- ferent stories. Mol Phylogenet Evol 67(1):223-233. source
- cites [8] 8. Philippe H, et al. (2011) Resolving difficult phylogenetic questions: Why more se- quences are not enough. PLoS Biol 9(3):e1000602. source
In Box 3 (Quality Control of Phylogenomic Datasets), the paper argues that long-branch attraction probably affected Dunn et al.’s phylogeny, with fast-evolving ctenophores likely attracted to the distant outgroup. In Box 4 (Improving Phylogenetic Inference Methods), it calls the basal emergence of ctenophores an artifactual topology. The source advances the explanation the claim says was overstated, rather than questioning it. (LLM, conf=0.87)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
- cites [10] 10. Pick KS, et al. (2010) Improved phylogenomic taxon sampling noticeably affects nonbilaterian relationships. Mol Biol Evol 27(9):1983-1987. source
The Abstract argues the opposite: it attributes the basal placement of ctenophores in earlier analyses to long-branch attraction, rather than suggesting that explanation was overstated. It also reports comparatively high saturation in the earlier dataset as a possible contributor to poor support for some nonbilaterian nodes. The supplied passages do not provide page numbers. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Interpretationreasoning
Long-branch attraction plausibly influenced the phylogenetic position of ctenophores in analyses of Ryan et al. that recovered ctenophores-sister.
“Therefore, LBA plausibly influenced the phylogenetic position of ctenophores in analyses of Ryan et al. (6) that recovered ctenophores-sister.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [6] 6. Ryan JF, et al.; NISC Comparative Sequencing Program (2013) The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution. Science 342(6164):1242592. source
In “Phylogenetic position of Mnemiopsis leidyi” (page unavailable), Ryan et al. say their analyses without non-metazoan outgroups contradict the proposed long-branch attraction between ctenophores and the outgroup. They acknowledge sensitivity to taxon sampling and inference method, but do not present long-branch attraction as a plausible explanation for their ctenophores-sister results. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Findingcitation
Ribosomal protein genes possess a conflicting signal compared with other genes.
“We identified ribosomal protein genes as possessing a conflicting signal compared with other genes, which caused some past studies to infer ctenophores and cnidarians as sister.”
- Also stated in: § Ctenophores Sister to Other Extant Animals and Monophyletic Sponges. · plain
“Ribosomal protein genes can have conflicting signal with most other genes (32).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [32] 32. Bleidorn C, et al. (2009) On the phylogenetic position of Myzostomida: Can 77 genes get it wrong? BMC Evol Biol 9(1):150. source
- Also stated in: § Ctenophores Sister to Other Extant Animals and Monophyletic Sponges. · plain
- Premisecitation
In Moroz et al., strong nodal support for ctenophores sister to all other extant animals disappeared when both the strictest orthology criteria were enforced and ctenophore taxon sampling increased.
“In Moroz et al. (5), strong nodal support for ctenophores sister to all other extant animals disappeared when both the strictest orthology criteria were enforced and ctenophore taxon sampling increased.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [5] 5. Moroz LL, et al. (2014) The ctenophore genome and the evolutionary origins of neural systems. Nature 510(7503):109-114. source
- Findingcitation
Inferred relationships among major sponge lineages (Demospongiae + Hexactinellida sister to Calcarea + Homoscleromorpha) are consistent with morphology and most other molecular analyses that recovered monophyletic sponges.
“Inferred relationships among major sponge lineages (i.e., Demospongiae + Hexactinellida sister to Calcarea + Homoscleromorpha) were consistent with morphology (27,28) and most other molecular analyses that have recovered monophyletic sponges (datasets 1-27 in Figs. 2 and 3 and Figs.S1-S5) (4, 5, 8, 9, 28-30).”
Quote in the paperNot a substantial claim6 of 8 sources checked- cites [27] 27. van Soest RWM (1984) Deficient Merlia normani Kirkpatrick, 1908, from the Curacao reefs, with a discussion on the phylogenetic interpretation of sclerosponges. Contrib Zool 54(2):211-219. source
- cites [28] 28. Gazave E, et al. (2012) No longer Demospongiae: Homoscleromorpha formal nomi- nation as a fourth class of Porifera. Hydrobiologia 687(1):3-10. source
The “New insights from molecular phylogenies/phylogenomics studies” section reports molecular support for a Homoscleromorpha–Calcarea sister relationship. The “Linnaean classification of Homoscleromorpha” section says sponge monophyly is consistent with morphological characters, and the Discussion identifies a morphological feature shared by Homoscleromorpha and Calcarea. These passages do not establish the claimed Demospongiae–Hexactinellida sister pairing or the full relationship between the two pairs. Page numbers were not available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [4] 4. Hejnol A, et al. (2009) Assessing the root of bilaterian animals with scalable phylo- genomic models. Proc Biol Sci 276(1802):4261-4270. source
The Discussion (§4(d), page unavailable) reports an EST study sampling all major sponge groups that placed Porifera as sister to other metazoans, supporting the monophyletic-sponges part of the claim. Our copy does not state the specified Demospongiae–Hexactinellida and Calcarea–Homoscleromorpha relationship or say that it agrees with sponge morphology. (LLM, conf=0.79)
Experimental — accuracy not yet measured - cites [5] 5. Moroz LL, et al. (2014) The ctenophore genome and the evolutionary origins of neural systems. Nature 510(7503):109-114. source
The ‘Ctenophore phylogeny’ section reports Porifera as a single sister taxon to other metazoans, supporting the claim that this molecular analysis recovered monophyletic sponges. It does not state the specified relationships among Demospongiae, Hexactinellida, Calcarea, and Homoscleromorpha. The morphology comparison is attached to other citations in the citing sentence. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [8] 8. Philippe H, et al. (2011) Resolving difficult phylogenetic questions: Why more se- quences are not enough. PLoS Biol 9(3):e1000602. source
The Issues at the Level of Taxon Sampling section reports support for a Demospongiae + Hexactinellida clade and describes an analysis supporting sponge monophyly. It does not state that this clade is sister to Calcarea + Homoscleromorpha; the precise relationship attributed to this source is therefore unsupported by our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
- cites [29] 29. Dohrmann M, Janussen D, Reitner J, Collins AG, Wörheide G (2008) Phylogeny and evolution of glass sponges (Porifera, Hexactinellida). Syst Biol 57(3):388-405. source
- cites [30] 30. Voigt O, Adamski M, Sluzek K, Adamska M (2014) Calcareous sponge genomes reveal complex evolution of α-carbonic anhydrases and two key biomineralization enzymes. BMC Evol Biol 14(1):230. source
The Results (Phylogenetic analysis; page unavailable) examine carbonic anhydrase gene relationships and reconcile them with alternative hypotheses about animal phylogeny. The Methods (Sequence identification and analysis; page unavailable) say sponge-class relationships were taken from those hypotheses and previous results. Neither passage establishes the claimed sister-group relationship or its consistency with morphology and other molecular analyses. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
A growing body of evidence supports convergent evolution of many animal traits including neurons.
“especially considering a growing body of evidence that supports convergent evolution of many animal traits including neurons (5,6,(41)(42)(43).”
Quote in the paperSubstantial claim3 of 5 sources checked- cites [5] 5. Moroz LL, et al. (2014) The ctenophore genome and the evolutionary origins of neural systems. Nature 510(7503):109-114. source
The Discussion (page unavailable) proposes convergent evolution of neuro-muscular organization in ctenophores, and the Extended Data Figure 10 caption says the study supports multiple origins of neurons. The paper supports the claim about neurons, but these passages do not establish the broader claim about many animal traits. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [6] 6. Ryan JF, et al.; NISC Comparative Sequencing Program (2013) The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution. Science 342(6164):1242592. source
The Discussion and Conclusion supports independent evolution of ctenophore mesodermal cell types and discusses independently evolved musculature. It presents independent origins of neural cell types as an unresolved alternative, however, while its genetic evidence suggests an ancestral nervous system later reduced in sponges and placozoans. Thus it does not establish convergent evolution of neurons. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [41] 41. Dunn CW, Giribet G, Edgecombe GD, Hejnol A (2014) Animal phylogeny and its evolutionary implications. Annu Rev Ecol Evol Syst 45:371-395. source
- cites [42] 42. Liebeskind BJ, Hillis DM, Zakon HH (2015) Convergence of ion channel genome content in early animal evolution. Proc Natl Acad Sci USA 112(8):E846-E851. source
The Discussion (page unavailable) says the findings suggest a large role for convergence in extant animal nervous systems and cites evidence for independently evolved striated muscle. But the paper says it cannot distinguish competing hypotheses about nervous-system origins; it does not establish that neurons themselves evolved convergently. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [43] 43. Moroz LL (2015) Convergent evolution of neural systems in ctenophores. J Exp Biol 218(Pt 4):598-611. source
- Premisecitation
Standard measurements of sequence saturation average across the length of the sequence.
“standard measurements of sequence saturation (7,8,25) average across the length of the sequence.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [7] 7. Nosenko T, et al. (2013) Deep metazoan phylogeny: When different genes tell dif- ferent stories. Mol Phylogenet Evol 67(1):223-233. source
- cites [8] 8. Philippe H, et al. (2011) Resolving difficult phylogenetic questions: Why more se- quences are not enough. PLoS Biol 9(3):e1000602. source
- cites [25] 25. Struck TH (2014) TreSpEx-detection of misleading signal in phylogenetic reconstruc- tions based on tree information. Evol Bioinform Online 10:51-67. source
- Findingcitation
Bayesian inference using the CAT-GTR+Γ model recovered ctenophores sister to all other animals with 100% posterior probability.
“Importantly, Phylobayes (26) analyses using the CAT-GTR+Γ model also resulted in phylogenies with Ctenophora sister to all other animals with 100% posterior probability (PP), and 100% PP for sponge monophyly (datasets 6 and 16 in Figs. 2 and 3 and Fig. S5 B and C).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] 26. Lartillot N, Rodrigue N, Stubbs D, Richer J (2013) PhyloBayes MPI: Phylogenetic re- construction with infinite mixtures of profiles in a parallel environment. Syst Biol 62(4):611-615. source
- Findingcitation
Bayesian inference using the CAT-GTR+Γ model recovered sponge monophyly with 100% posterior probability.
“Importantly, Phylobayes (26) analyses using the CAT-GTR+Γ model also resulted in phylogenies with Ctenophora sister to all other animals with 100% posterior probability (PP), and 100% PP for sponge monophyly (datasets 6 and 16 in Figs. 2 and 3 and Fig. S5 B and C).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] 26. Lartillot N, Rodrigue N, Stubbs D, Richer J (2013) PhyloBayes MPI: Phylogenetic re- construction with infinite mixtures of profiles in a parallel environment. Syst Biol 62(4):611-615. source
- Findingown data
All maximum-likelihood analyses with outgroups recovered ctenophores sister to all other extant animal lineages with at least 97% bootstrap support.
“All maximum-likelihood analyses with outgroups resulted in topologies with strong support [≥ 97% bootstrap support (BS)] for ctenophores sister to all other extant animal lineages (datasets 1-21 in Figs. 2 and 3 and Figs.S1-S4).”
Quote in the paperSubstantial claim - Findingown data
Sponge monophyly is strongly supported under multiple analyses in this study.
“Placement of ctenophores as sister to all other animals, and sponge monophyly, are strongly supported under multiple analyses, herein.”
- Also stated in: § Ctenophores Sister to Other Extant Animals and Monophyletic Sponges. · boosted
“Importantly, Phylobayes (26) analyses using the CAT-GTR+Γ model also resulted in phylogenies with Ctenophora sister to all other animals with 100% posterior probability (PP), and 100% PP for sponge monophyly (datasets 6 and 16 in Figs. 2 and 3 and Fig. S5 B and C).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] 26. Lartillot N, Rodrigue N, Stubbs D, Richer J (2013) PhyloBayes MPI: Phylogenetic re- construction with infinite mixtures of profiles in a parallel environment. Syst Biol 62(4):611-615. source
- Rests on an assumption: The sampled taxa adequately represent the major metazoan lineages for inferring the position of ctenophores relative to all other animals.
- Also stated in: § Ctenophores Sister to Other Extant Animals and Monophyletic Sponges. · boosted
- Findingown data
Analyzing the Philippe et al. dataset with ribosomal proteins removed, neither maximum-likelihood nor Bayesian reconstruction placed ctenophores and cnidarians sister.
“As such, we analyzed the Philippe et al. (9) dataset with ribosomal proteins removed (67 of 128) using maximum-likelihood and Bayesian inference, and neither reconstruction placed ctenophores and cnidarians sister as in the original study (Fig. S5 D and E).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
- Findingown data
Both maximum-likelihood analyses using data partitioning and Bayesian analyses using the CAT-GTR model of the datasets resulted in identical branching patterns among ctenophores, sponges, placozoans, cnidarians, and bilaterians.
“In contrast, both maximum-likelihood analyses using data partitioning and Bayesian analyses using the CAT-GTR model of our datasets resulted in identical branching patterns among ctenophores, sponges, placozoans, cnidarians, and bilaterians.”
Quote in the paperSubstantial claim - Findingown data
Topologies inferred with only the slowest evolving half of orthologous groups recovered high support for ctenophores sister to all other animals with both maximum-likelihood (BS = 100) and Bayesian inference using CAT-GTR (PP = 1).
“Topologies inferred with only the slowest evolving half of OGs assembled here (datasets 6 and 16 in Fig. 2) (i.e., least saturated and least prone to homoplasy; see Fig. S7 for saturation plots) recovered high support for ctenophores sister to all other animals and sponge monophyly with both maximum-likelihood (BS = 100) (Fig. 3 and Figs.S1F and S3D) and Bayesian inference using the CAT-GTR model”
Quote in the paperSubstantial claim - Findingown data
Regardless of how data were filtered, all maximum-likelihood analyses with model partitioning and all Bayesian inference analyses using a site-heterogeneous model recover ctenophores as sister to all other animals with strong support.
“Regardless of how data were filtered, all maximum-likelihood analyses with model partitioning and all Bayesian inference analyses using a site-heterogeneous model recover ctenophores as sister to all other animals with strong support.”
Quote in the paperSubstantial claim - Findingown data
The datasets of the slowest evolving half of orthologous groups were of a broad range of protein classes, rather than consisting of a majority of ribosomal proteins.
“Importantly, our datasets of the slowest evolving half of OGs were of a broad range of protein classes (SI Methods; figshare), rather than consisting of a majority of ribosomal proteins (7,9).”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingown data
When choanoflagellates were the only outgroup, ctenophores were still recovered as the deepest split within the animal tree with 100% BS support.
“Regardless, when choanoflagellates were the only outgroup, ctenophores were still recovered as the deepest split within the animal tree with 100% BS support.”
Quote in the paperSubstantial claim - Findingown data
Despite the long internal branch leading to the ctenophore clade, the position of this lineage did not change in any analysis, including those when outgroups were removed.
“Furthermore, despite the long internal branch leading to the ctenophore clade, the position of this lineage did not change in any analysis including those when outgroups were removed (datasets 5, 11, 15, 21, and 22-25 in Fig. 2 and Figs.S1E, S2E, S3C, and S4 C- F).”
Quote in the paperSubstantial claim - Findingown data
Alternative hypotheses of basal animal relationships were rejected by every phylogenetic analysis as measured by the approximately unbiased test (P ≤ 0.001).
“Alternative hypotheses of basal animal relationships (Fig. 1) were rejected by every phylogenetic analysis as measured by the approximately unbiased (AU) (31) test (P ≤ 0.001) (Table 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] 31. Shimodaira H (2002) An approximately unbiased test of phylogenetic tree selection. Syst Biol 51(3):492-508. source
- Findingown data
Removing orthologous groups with high amino acid compositional heterogeneity had no effect on branching order.
“Removing OGs with high amino acid compositional heterogeneity (datasets 7-11, 17-21, 23, and 25 in Fig. 2) also had no effect on branching order (Fig. 3 and Figs.S2 A-E, S3 E and F, S4 A-E, and S5A).”
Quote in the paperSubstantial claim - Findingown data
Ctenophores and cnidarians were not recovered as sister in the Bayesian analysis.
“ctenophores and cni- darians were not recovered as sister (Fig. S5E).”
Quote in the paperSubstantial claim - Findingown data
Maximum-likelihood analysis of Philippe et al.'s dataset with ribosomal genes removed recovered support for ctenophores as sister to all other animals.
“Our maximum-likelihood analysis of Philipe et al.'s (9) dataset with ribosomal genes removed recovered support for ctenophores as sister to all other animals (Fig. S5D).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
- Findingown data
Basal relationships were poorly resolved in the Bayesian analysis.
“Basal re- lationships were poorly resolved in the Bayesian analysis”
Quote in the paperNot a substantial claim - Interpretationown data
The conflicting signal in ribosomal protein genes caused some past studies to infer ctenophores and cnidarians as sister.
“We identified ribosomal protein genes as possessing a conflicting signal compared with other genes, which caused some past studies to infer ctenophores and cnidarians as sister.”
- Also stated in: § Ctenophores Sister to Other Extant Animals and Monophyletic Sponges. · plain
“As such, we analyzed the Philippe et al. (9) dataset with ribosomal proteins removed (67 of 128) using maximum-likelihood and Bayesian inference, and neither reconstruction placed ctenophores and cnidarians sister as in the original study (Fig. S5 D and E).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
- Also stated in: § Ctenophores Sister to Other Extant Animals and Monophyletic Sponges. · plain
- Interpretationcitation
Overreliance on ribosomal protein genes in some datasets is the source of incongruence among previous phylogenomic studies.
“We identify overreliance on ribosomal protein genes in some datasets (7,9) as the source of incongruence among previous phylogenomic studies.”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationown data
The low support for relationships among ctenophores, sponges, and placozoans in analyses without outgroups resulted from the long placozoan branch being attracted to ctenophores.
“This resulted from the long placozoan branch being attracted to ctenophores in the absence of outgroup taxa as indicated by bootstrap tree topologies and leaf-stability index for Trichoplax of less than 0.92, whereas leaf-stability indices were greater than 0.99 in all other analyses (Fig. S5 F and G).”
Quote in the paperSubstantial claim - Premisenone given
Outgroup sampling has the potential to influence rooting of the animal tree.
“Because outgroup sampling has the potential to influence rooting of the animal tree, we explored outgroup sampling as well.”
Quote in the paperSubstantial claim - Study design and conductown data
The study assembled a more comprehensive phylogenomic dataset of early-branching metazoan lineages than previous studies to alleviate taxon sampling concerns.
“Here, we have assembled a more comprehensive phylogenomic dataset of metazoan lineages that branched early in animal evolution than previous studies to alleviate taxon sampling concerns.”
Quote in the paperSubstantial claim- Rests on an assumption: The sampled taxa adequately represent the major metazoan lineages for inferring the position of ctenophores relative to all other animals.
- Premisecitation
The CAT model is a site-heterogeneous model that may handle long-branch attraction artifacts better than site-homogeneous substitution models like GTR.
“The CAT model is a site-heterogeneous model that may handle LBA artifacts better than site-homogeneous substitution models like GTR (18).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] 18. Tavaré S (1986) Some probabilistic and statistical problems in the analysis of DNA sequences. Lect Math Life Sci 17:57-86.
- Premisecitation
The datasets of Philippe et al. and Nosenko et al., which recovered cnidarians and ctenophores sister, had high proportions of ribosomal protein genes (67 of 128 and 87 of 122 genes, respectively).
“The datasets of Philippe et al. (9) and Nosenko et al. (7), which recovered cnidarians and ctenophores sister, had high proportions of ribosomal protein genes (67 of 128 and 87 of 122 genes, respectively).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationown data
Given the consistency among analyses designed to have different levels of potential biases, the ctenophore-sister hypothesis is robust to systematic errors.
“Given the consistency among our analyses that were designed to have different levels of potential biases, we conclude that the ctenophore-sister hypothesis is robust to systematic errors.”
Quote in the paperSubstantial claim - Interpretationown data
The results overwhelmingly reject alternative hypotheses to ctenophores sister to all other extant animals.
“Overall, our results overwhelmingly reject alternative hypotheses to ctenophores sister to all other extant animals (Table 1).”
Quote in the paperSubstantial claim - Interpretationreasoning
Spurious paralogs or sequence contamination may have been a source of error when sponges were found paraphyletic.
“This observation suggests that spurious paralogs or sequence contamination may have been a source of error when sponges were found paraphyletic”
Quote in the paperSubstantial claim - Interpretationreasoning
Differences in topologies when ribosomal proteins are included or excluded strongly imply a misleading signal in ribosomal protein genes.
“However, differences in topologies when ribosomal proteins are included or excluded strongly imply a misleading signal in ribosomal protein genes.”
Quote in the paperSubstantial claim - Premisecitation
Homology between choanoflagellates and sponge choanocytes is not as definitive as previously assumed.
“However, Mah et al. (38) found that homology between choanoflagellates and sponge choanocytes is not as definitive as previously assumed.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [38] 38. Mah JL, Christensen-Dalsgaard KK, Leys SP (2014) Choanoflagellate and choanocyte collar-flagellar systems and the assumption of homology. Evol Dev 16(1):25-37. source
- Interpretationreasoning
A sequence with a few variable, highly saturated sites may appear less saturated than a sequence with numerous variable sites but less saturation per site.
“Thus, a sequence with a few variable, highly saturated sites may appear less saturated than a sequence with numerous variable sites but less saturation per site.”
Quote in the paperSubstantial claim - Premisecitation
Complexity is not a good proxy for metazoan evolution.
“but complexity is not a good proxy for metazoan evolution (40).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] 40. Halanych KM (1999) Metazoan phylogeny and the shifting comparative framework. Recent Developments in Comparative Endocrinology and Neurobiology, eds Roubos EW, Wendelaar-Bonga SE, Vaudry H, De Loof A (Shaker, Maastrict, The Netherlands), pp 3-7.
Not checked in the free run.
- Interpretationreasoning
It is highly improbable that all genes other than ribosomal protein genes could be recovering an incorrect phylogeny.
“Put simply, it appears highly improbable that all genes other than ribosomal protein genes could be recovering an incorrect phylogeny.”
Quote in the paperSubstantial claim - Interpretationreasoning
Sponge monophyly and the well-supported ctenophore-sister hypothesis complicate inferring the ancestral condition of metazoan and other major metazoan groups because many sponge characteristics are likely apomorphic traits.
“Sponge monophyly and the well-supported ctenophore-sister hypothesis complicates inferring the ancestral condition of metazoan and other major metazoan groups (e.g., Placozoa + Cnidaria + Bilateria) because many sponge characteristics are likely apomorphic traits.”
Quote in the paperSubstantial claim - Interpretationown data
Findings presented here robustly support ctenophores as sister to all remaining animals.
“Overall, findings presented here robustly support ctenophores as sister to all remaining animals.”
Quote in the paperSubstantial claim - Premisecitation
Datasets that have recovered sponge paraphyly were much smaller than those analyzed here.
“but datasets that have recovered sponge paraphyly were also much smaller than those analyzed here (e.g., refs.7,[22][23][24].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [7] 7. Nosenko T, et al. (2013) Deep metazoan phylogeny: When different genes tell dif- ferent stories. Mol Phylogenet Evol 67(1):223-233. source
- cites [22] 22. Borchiellini C, et al. (2001) Sponge paraphyly and the origin of Metazoa. J Evol Biol 14(1):171-179. source
- cites [23] 23. Sperling EA, Pisani D, Peterson KJ (2007) Poriferan paraphyly and its implications for Precambrian paleobiology. Geol Soc Lond Spec Publ 286:355-368. source
- May combine two claims. 25
- Classified as probably not a substantial claim. 12
- The quote only partly states this claim. 2
May combine two claims.
PremisecitationIn Ryan et al., ctenophores were recovered as sister to all other extant animals in maximum-likelihood analyses with greater taxon sampling, while Bayesian inference never converged for datasets with more than 19 taxa.
“However, ctenophores were recovered as sister to all other extant animals in maximumlikelihood analyses with greater taxon sampling (Bayesian inference never converged for datasets with more than 19 taxa).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [6] 6. Ryan JF, et al.; NISC Comparative Sequencing Program (2013) The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution. Science 342(6164):1242592. source
In “Phylogenetic position of Mnemiopsis leidyi” (page unavailable), the paper reports that maximum-likelihood analyses placed ctenophores sister to all other animals for both its 13-animal Genome Set and its more broadly sampled 58-animal EST Set. It also reports that none of the Bayesian analyses of the EST Set converged. It does not establish a general cutoff of more than 19 taxa for Bayesian nonconvergence. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationRyan et al. recovered a sister relationship between sponges and ctenophores in analyses where taxa with high amounts of missing data were excluded, and support for this was highest in Bayesian inference with the CAT substitution model.
“For example, Ryan et al. (6) recovered a sister relationship between sponges and ctenophores in analyses where taxa with high amounts of missing data were excluded, and support for this was highest in Bayesian inference with the CAT (17) substitution model.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [6] 6. Ryan JF, et al.; NISC Comparative Sequencing Program (2013) The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution. Science 342(6164):1242592. source
- cites [17] 17. Lartillot N, Brinkmann H, Philippe H (2007) Suppression of long-branch attraction artefacts in the animal phylogeny using a site-heterogeneous model. BMC Evol Biol 7(Suppl 1):S4. source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationAdditional sources of systematic error include poor taxon or character sampling, large amounts of missing data, and model misspecification.
“Additional sources of systematic error include poor taxon or character sampling (10,14,15), large amounts of missing data (16), and model misspecification (16,17).”
Quote in the paperSubstantial claim2 of 5 sources checked- cites [10] 10. Pick KS, et al. (2010) Improved phylogenomic taxon sampling noticeably affects nonbilaterian relationships. Mol Biol Evol 27(9):1983-1987. source
- cites [14] 14. Heath TA, Hedtke SM, Hillis DM (2008) Taxon sampling and the accuracy of phylo- genetic analyses. J Syst Evol 46(3):239-257. source
- cites [15] 15. Jeffroy O, Brinkmann H, Delsuc F, Philippe H (2006) Phylogenomics: The beginning of incongruence? Trends Genet 22(4):225-231. source
- cites [16] 16. Roure B, Baurain D, Philippe H (2013) Impact of missing data on phylogenies inferred from empirical phylogenomic data sets. Mol Biol Evol 30(1):197-214. source
- cites [17] 17. Lartillot N, Brinkmann H, Philippe H (2007) Suppression of long-branch attraction artefacts in the animal phylogeny using a site-heterogeneous model. BMC Evol Biol 7(Suppl 1):S4. source
The Background links systematic phylogenetic errors to poor taxon sampling and model misspecification, and says that more careful selection of sites or sequences improves reliability. It does not identify large amounts of missing data as a source of systematic error; a search for “missing data” found no supporting passage. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataDifferences between the datasets analyzed here and those used in previous studies of basal metazoan relationships include increased character sampling, less missing data compared with some studies, and increased nonbilaterian taxon sampling.
“Other than progressive data filtering, differences between datasets analyzed here and those used in previous studies of basal metazoan relationships (3-10) are increased character sampling and less missing data compared with some studies and increased nonbilaterian taxon sampling.”
Quote in the paperNot a substantial claim5 of 8 sources checked- cites [3] 3. Dunn CW, et al. (2008) Broad phylogenomic sampling improves resolution of the animal tree of life. Nature 452(7188):745-749. source
- cites [4] 4. Hejnol A, et al. (2009) Assessing the root of bilaterian animals with scalable phylo- genomic models. Proc Biol Sci 276(1802):4261-4270. source
The Results (data matrix assembly; page unavailable) describe this prior dataset as a 1,487-gene, 94-taxon matrix with 19% occupancy. The Methods (data acquisition and matrix assembly; page unavailable) identify its taxon sampling, including a sponge. These passages provide a basis for comparison, but the source cannot establish that the citing authors’ datasets had more characters, less missing data, or more nonbilaterian taxa. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [5] 5. Moroz LL, et al. (2014) The ctenophore genome and the evolutionary origins of neural systems. Nature 510(7503):109-114. source
- cites [6] 6. Ryan JF, et al.; NISC Comparative Sequencing Program (2013) The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution. Science 342(6164):1242592. source
In “Phylogenetic position of Mnemiopsis leidyi” (page not specified), the paper describes two earlier matrices with different taxon sampling and missing-data fractions, making it a relevant example of a previous dataset. It does not establish that the citing study’s datasets have more characters, less missing data, or more nonbilaterian taxa than its own. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [7] 7. Nosenko T, et al. (2013) Deep metazoan phylogeny: When different genes tell dif- ferent stories. Mol Phylogenet Evol 67(1):223-233. source
- cites [8] 8. Philippe H, et al. (2011) Resolving difficult phylogenetic questions: Why more se- quences are not enough. PLoS Biol 9(3):e1000602. source
- cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
- cites [10] 10. Pick KS, et al. (2010) Improved phylogenomic taxon sampling noticeably affects nonbilaterian relationships. Mol Biol Evol 27(9):1983-1987. source
In the section labeled Abstract (page unavailable), Pick et al. report adding nonbilaterian taxa to a previous dataset, supporting that part of the comparison. They say they used an identical gene set to Dunn et al.; the passages do not establish that the citing paper’s datasets had more characters or less missing data than Pick et al.’s dataset. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationPhylogenomic studies have resulted in controversial hypotheses placing either Placozoa, ctenophores, or a clade of ctenophores and sponges as sister to all remaining animals.
“Phylogenomic studies have resulted in controversial hypotheses placing either Placozoa (Fig. 1A) (2), ctenophores (ctenophore-sister hypothesis) (Fig. 1B) (3)(4)(5)(6)(7), or a clade of ctenophores and sponges (Fig. 1C) (6) as sister to all remaining animals.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [2] 2. Dellaporta SL, et al. (2006) Mitochondrial genome of Trichoplax adhaerens supports placozoa as the basal lower metazoan phylum. Proc Natl Acad Sci USA 103(23): 8751-8756. source
The Abstract says the mitochondrial-protein analyses support Placozoa at the root of Metazoa, supporting the Placozoa hypothesis for which this paper is cited. But the Results and Discussion establish its basal position among the lower metazoans; when bilaterians were included, the analysis instead split bilaterians from the other sampled animals. The paper therefore does not establish Placozoa as sister to all remaining animals. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites (3)(4)(5)(6)(7)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [6] 6. Ryan JF, et al.; NISC Comparative Sequencing Program (2013) The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution. Science 342(6164):1242592. source
May combine two claims.
Interpretationown dataOur robust support of sponge monophyly agrees with morphology and most other large molecular datasets.
“Our robust support of sponge monophyly agrees with morphology (35) and most other large molecular datasets (5,6,(8)(9)(10).”
Quote in the paperNot a substantial claim4 of 6 sources checked- cites [35] 35. Ax P (1996) Multicellular Animals: A New Approach to the Phylogenetic Order in Nature (Springer, Berlin). source
- cites [5] 5. Moroz LL, et al. (2014) The ctenophore genome and the evolutionary origins of neural systems. Nature 510(7503):109-114. source
- cites [6] 6. Ryan JF, et al.; NISC Comparative Sequencing Program (2013) The genome of the ctenophore Mnemiopsis leidyi and its implications for cell type evolution. Science 342(6164):1242592. source
The ‘Phylogenetic position of Mnemiopsis leidyi’ section reports support for ctenophores as sister to other animals and discusses the alternative placement of Porifera. It does not report whether sponge species form a monophyletic group. Searches for sponge and Porifera monophyly found no passage establishing the point attributed to this molecular dataset; page numbers were not available in our copy. (LLM, conf=0.70)
Experimental — accuracy not yet measured - cites [8] 8. Philippe H, et al. (2011) Resolving difficult phylogenetic questions: Why more se- quences are not enough. PLoS Biol 9(3):e1000602. source
The Issues at the Level of Taxon Sampling section reports 96% bootstrap support for sponge monophyly in one large phylogenomic analysis. But Box 2 says monophyly is not unequivocally accepted and that only that analysis recovered it with significant statistical support; the paper therefore does not support agreement with most other large molecular datasets. The morphology citation is separate from this source. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
- cites [10] 10. Pick KS, et al. (2010) Improved phylogenomic taxon sampling noticeably affects nonbilaterian relationships. Mol Biol Evol 27(9):1983-1987. source
Classified as probably not a substantial claim.
PremisecitationRibosomal protein genes have previously been identified as a potential source of phylogenetic error.
“Ribosomal protein genes have previously been identified as a potential source of phylogenetic error (32)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [32] 32. Bleidorn C, et al. (2009) On the phylogenetic position of Myzostomida: Can 77 genes get it wrong? BMC Evol Biol 9(1):150. source
May combine two claims.
PremisecitationA study focused only on myxozoan cnidarians used the same matrix as Philippe et al. but added two highly divergent cnidarians and recovered ctenophores sister to all other animals.
“Notably, a study focused only on myxozoan cnidarians (34) used the same matrix as Philippe et al. ( 9), but added two highly divergent cnidarians and recovered ctenophores sister to all other animals.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [34] 34. Nesnidal MP, Helmkampf M, Bruchhaus I, El-Matbouli M, Hausdorf B (2013) Agent of whirling disease meets orphan worm: phylogenomic analyses firmly place Myxozoa in Cnidaria. PLoS ONE 8(1):e54576. source
Methods (Data Assembly; page unavailable) says the authors added two myxozoans to a phylogenomic dataset assembled by Philippe et al.; Results and Discussion describes their high substitution rates and places them within Cnidaria. The available text does not state that the analysis recovered ctenophores as sister to all other animals, so that outcome is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
May combine two claims.
PremisecitationExtremely low mutation rates can indicate selection and result in too little phylogenetic information, both of which could lead to the inference of incorrect relationships.
“extremely low mutation rates can indicate selection and result in too little phylogenetic information, both of which could lead to the inference of incorrect relationships (33).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [33] 33. Edwards SV (2009) Natural selection and phylogenetic analysis. Proc Natl Acad Sci USA 106(22):8799-8800. source
In the discussion (pp. 8799–8800), Edwards says stabilizing selection lowers the overall rate of evolution, and that some forms of selection can mislead phylogenetic analysis. The paper does not say that extremely low mutation rates leave too little phylogenetic information or that low rates themselves lead to incorrect relationships; it describes stabilizing selection as not necessarily a problem for analysis. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataBiases resulting from elevated compositional heterogeneity or elevated substitution rates are ruled out.
“Importantly, biases resulting from elevated compositional heterogeneity or elevated substitution rates are ruled out.”
- Also stated in: § Systematic Biases and Their Effect on Phylogenetic Inference. · plain
“Removing OGs with high amino acid compositional heterogeneity (datasets 7-11, 17-21, 23, and 25 in Fig. 2) also had no effect on branching order (Fig. 3 and Figs.S2 A-E, S3 E and F, S4 A-E, and S5A).”
Quote in the paperSubstantial claim- Also stated in: § Systematic Biases and Their Effect on Phylogenetic Inference. · plain
May combine two claims.
Findingown dataCtenophores are sister to all other extant animals, and this placement is strongly supported under multiple analyses in this study.
“Placement of ctenophores as sister to all other animals, and sponge monophyly, are strongly supported under multiple analyses, herein.”
- Also stated in: § Ctenophores Sister to Other Extant Animals and Monophyletic Sponges. · boosted
“All maximum-likelihood analyses with outgroups resulted in topologies with strong support [≥ 97% bootstrap support (BS)] for ctenophores sister to all other extant animal lineages (datasets 1-21 in Figs. 2 and 3 and Figs.S1-S4).”
- Also stated in: § Placement of Ctenophores Sister to all Remaining Animals Is Not · boosted
“Every analysis conducted herein strongly supported the ctenophore-sister hypothesis (Fig. 3 and Table 1).”
Quote in the paperSubstantial claim- Rests on an assumption: The sampled taxa adequately represent the major metazoan lineages for inferring the position of ctenophores relative to all other animals.
- Rests on an assumption: The outgroup taxa used are appropriate for rooting the animal tree.
- Also stated in: § Ctenophores Sister to Other Extant Animals and Monophyletic Sponges. · boosted
May combine two claims.
Findingown dataMost topologies with both certain and uncertain paralogs removed had strong support for sponge monophyly (≥ 95% BS), but four analyses with only certain paralogs removed recovered low support (< 90% BS) for sponge monophyly.
“For example, most topologies with both certain and uncertain paralogs removed had strong support for sponge monophyly (i.e., ≥ 95% BS) (datasets 12-14 and 18-20 in Figs. 2 and 3 and Figs.S2F, S3 A, B, and F, and S4 A and B), but four analyses with only certain paralogs removed recovered low support (< 90% BS) for sponge monophyly (datasets 5, 7, 9, and 10 in Figs. 2 and 3 and Figs.S1E and S2 A, D,”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe study finds strong support for sponge monophyly, in contrast to previous reports.
“We also find strong support for sponge monophyly in contrast to previous reports (7,(22)(23)(24).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites (7,(22)(23)(24)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingown dataAnalyses with all outgroup taxa removed recovered identical relationships among major metazoan lineages as other analyses, but low support for relationships among ctenophores, sponges, and placozoans.
“Analyses with all outgroup taxa removed (datasets 22-25 in Fig. 2) recovered identical relationships among major metazoan lineages as other analyses (Figs.S4 D-F and S5A). However, we observed low support for relationships among ctenophores, sponges, and placozoans in these analyses.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen all outgroups except two choanoflagellates were removed, inferred nonbilaterian relationships were identical to analyses with full outgroup sampling, but support for sponge monophyly decreased.
“When all outgroups except two choanoflagellates were removed (datasets 5, 11, 15, and 21 in Fig. 2), inferred nonbilaterian relationships were identical as in analyses we performed with full outgroup sampling (datasets 5, 11, 15, and 21 in Figs. 2 and 3 and Figs.S1E, S2E, S3C, and S4C), but support for sponge monophyly decreased.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataBayesian inference of the Philippe et al. dataset with ribosomal proteins removed recovered sponges as sister to all other metazoans, but support for this and other deep nodes was low (PP ≤ 90).
“However, Bayesian inference (Fig. S5E) recovered sponges as sister to all other metazoans, but support for this and other deep nodes were low (PP ≤ 90).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTopologies inferred with only the slowest evolving half of orthologous groups recovered high support for sponge monophyly with both maximum-likelihood (BS = 100) and Bayesian inference using CAT-GTR (PP = 1).
“Topologies inferred with only the slowest evolving half of OGs assembled here (datasets 6 and 16 in Fig. 2) (i.e., least saturated and least prone to homoplasy; see Fig. S7 for saturation plots) recovered high support for ctenophores sister to all other animals and sponge monophyly with both maximum-likelihood (BS = 100) (Fig. 3 and Figs.S1F and S3D) and Bayesian inference using the CAT-GTR model”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataThe maximum-likelihood analysis of the Philippe et al. dataset with ribosomal proteins removed recovered strong support for ctenophores as sister to all other metazoan lineages (BS = 93).
“The maximum-likelihood analysis recovered strong support for ctenophores as sister to all other metazoan lineages (BS = 93) (Fig. S5D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRelationships among basal metazoan phyla were completely congruent in trees inferred with and without taxa and genes that had high long-branch scores, and nodal support for critical nodes showed little variation among analyses.
“We found complete congruence in relationships among basal metazoan phyla in trees inferred with (datasets 1, 2, 8, 12, and 18 in Fig. 2) and without (datasets 3-7, 9-11, 13-17, 19-21, and 22-25 in Fig. 2) taxa and genes that had high LB scores, and nodal support for critical nodes showed little variation among analyses (Fig. 3 and Figs.S1-S5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe recovered position of ctenophores was identical in analyses with and without taxa and genes with high long-branch scores, and analyses with the slowest evolving genes also recovered ctenophores sister to all other animals.
“The recovered position of ctenophores was identical in analyses with (datasets 1, 2, 8, 12, and 18 in Fig. 2 and Figs.S1 A and B, S2 B and F, and S3F) and without (datasets 3-7, 9-11, 13-17, and 19-25 in Fig. 2, and Figs.S1 C-F, S2 A and C-E, S3 A-E, S4, and S5 A-C) taxa and genes with high LB scores, and analyses with the slowest evolving genes (datasets 6 and 16 in Fig. 2 and Fig. S7) also”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRemoval of paralogs as identified by TreSpEx appeared to have the greatest effect on support for some critical nodes, although relationships among basal lineages were unaffected.
“Although relationships among basal lineages were unaffected, removal of paralogs as identified by TreSpEx appeared to have the greatest effect on support for some critical nodes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSponge monophyly was recovered in all of our analyses and best supported when the strictest orthology criteria were applied with TreSpEx.
“However, sponge monophyly was recovered in all of our analyses and best supported when the strictest orthology criteria were applied with TreSpEx (Fig. 3 and Table 1), which also removes sequences resulting from sample contamination (e.g., endosymbionts).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenInaccurate orthology assignment can introduce systematic error into phylogenomic analyses.
“Inaccurate orthology assignment can also introduce systematic error into phylogenomic analyses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLower mutational saturation has been the primary rationale for emphasizing ribosomal genes when inferring deep animal relationships.
“This lower mutational saturation has been the primary rational for emphasizing ribosomal genes when inferring deep animal relationship (7).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] 7. Nosenko T, et al. (2013) Deep metazoan phylogeny: When different genes tell dif- ferent stories. Mol Phylogenet Evol 67(1):223-233. source
May combine two claims.
Interpretationown dataMaximum-likelihood and Bayesian inference using the CAT-GTR model of the least saturated datasets recovered identical basal relationships as other analyses, indicating homoplasy and model choice did not bias results.
“Maximum-likelihood and Bayesian inference using the CAT-GTR model of the least saturated datasets (datasets 6 and 16 in Fig. 2 and Fig. S7) recovered identical basal relationships as our other analyses (Fig. 3 and Figs.S1F, S3D, and S5 B and C), also indicating homoplasy and model choice did not bias results.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationIf robust datasets are assembled and causes of systematic error are accounted for, different datasets and analytical methods will converge on a single phylogenetic hypothesis.
“Ideally, if robust datasets are assembled and causes of systematic error are accounted for, different datasets and analytical methods will converge on a single phylogenetic hypothesis (19).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] 19. Philippe H, Delsuc F, Brinkmann H, Lartillot N (2005) Phylogenomics. Annu Rev Ecol Evol Syst 36:541-562. source
May combine two claims.
PremisecitationNosenko et al. analyzed a dataset without ribosomal protein genes and recovered ctenophores sister to all other animals.
“Nosenko et al. (7) analyzed a dataset without ribosomal protein genes and recovered ctenophores sister to all other animals, but a similar analysis has not been done for the original Philippe et al. (9) dataset.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] 7. Nosenko T, et al. (2013) Deep metazoan phylogeny: When different genes tell dif- ferent stories. Mol Phylogenet Evol 67(1):223-233. source
May combine two claims.
InterpretationreasoningCtenophores sister to cnidarians as in Philippe et al. was caused by either limited cnidarian taxon sampling, misleading signal in ribosomal genes, or both.
“the above indicates that ctenophores sister to cnidarians as in Philippe et al. ( 9) was caused by either limited cnidarian taxon sampling, misleading signal in ribosomal genes, or both.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] 9. Philippe H, et al. (2009) Phylogenomics revives traditional views on deep animal re- lationships. Curr Biol 19(8):706-712. source
Classified as probably not a substantial claim.
Study design and conductcitationThe AU test was used to determine if a priori hypotheses of basal metazoan relationships could be rejected.
“The AU test (31) was used to determine if a priori hypotheses of basal metazoan relationships could be rejected (Fig. 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] 31. Shimodaira H (2002) An approximately unbiased test of phylogenetic tree selection. Syst Biol 51(3):492-508. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationConvergence was assessed with tracecomp to ensure each parameter had a maximum discrepancy between chains of less than 0.3 and an effective sample size of at least 50.
“Convergence was also assessed with tracecomp (26) to ensure each parameter had a maximum discrepancy between chains of less than 0.3 and an effective sample size of at least 50.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] 26. Lartillot N, Rodrigue N, Stubbs D, Richer J (2013) PhyloBayes MPI: Phylogenetic re- construction with infinite mixtures of profiles in a parallel environment. Syst Biol 62(4):611-615. source
Classified as probably not a substantial claim.
Study design and conductcitationPhylobayes analyses were run with two chains until the maxdiff statistic between chains was below 0.3 as measured by bpcomp.
“Phylobayes analyses were run with two chains until the maxdiff statistic between chains was below 0.3 as measured by bpcomp (26).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] 26. Lartillot N, Rodrigue N, Stubbs D, Richer J (2013) PhyloBayes MPI: Phylogenetic re- construction with infinite mixtures of profiles in a parallel environment. Syst Biol 62(4):611-615. source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
PremisecitationThe Porifera-sister hypothesis lacks critical evaluation and homology of many characters in these taxa still need thorough analysis.
“Furthermore, the Porifera-sister hypothesis lacks critical evaluation and homology of many characters in these taxa still need thorough analysis (44).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] 44. Halanych KM (2015) The ctenophore lineage is older than sponges? That cannot be right! Or can it? J Exp Biol 218(Pt 4):592-597. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNodal support was measured with 100 fast bootstrap replicates.
“Nodal support was measured with 100 fast bootstrap replicates.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningComputational demands and convergence issues prevented the use of the CAT-GTR+Γ model for most datasets, so Bayesian phylogenies are only reported for the two analyses of the slowest evolving half of OGs.
“Computational demands and convergence issues prevented us from using the CAT-GTR+Γ model for most datasets.Therefore, Bayesian phylogenies are only reported for the two analyses of the slowest evolving half of OGs.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The sampled taxa adequately represent the major metazoan lineages for inferring the position of ctenophores relative to all other animals.
“Here, we have assembled a more comprehensive phylogenomic dataset of metazoan lineages that branched early in animal evolution than previous studies to alleviate taxon sampling concerns.”
“Other than progressive data filtering, differences between datasets analyzed here and those used in previous studies of basal metazoan relationships (3-10) are increased character sampling and less missing data compared with some studies and increased nonbilaterian taxon sampling.”
The paper relies on this without support.
The outgroup taxa used are appropriate for rooting the animal tree.
“Because outgroup sampling has the potential to influence rooting of the animal tree, we explored outgroup sampling as well.”
The paper relies on this without support.
The orthology assignments are accurate enough that the orthologous groups reflect true gene orthology.
“Orthology filtering of transcriptome and genome data from 76 species resulted in 251 orthologous groups (OGs) and 81,008 aligned amino acid sites (Tables S1 and S2).”
“Inaccurate orthology assignment can also introduce systematic error into phylogenomic analyses.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The primary remaining lines of evidence supporting Ctenophora sister, partitioned phylogenomics and measures of underlying support (such as ΔPSlnl values), do not do so when better-fitting site-heterogeneous models are incorporated into the analysis.
“Here, we have consolidated these findings by directly showing that the primary remaining lines of evidence supporting Ctenophora sister, partitioned phylogenomics4,7 and measures of underlying support (such as ΔPSlnl values)4,40, do not do so when better-fitting site-heterogeneous models are incorporated into the analysis.”
From Evidence for sponges as sister to all other animals from partitioned phylogenomics with mixture models and recoding (2021) · cites this paper as [7]
Split into 2 atoms — 0 confirmed, 1 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe lack of support for Coelenterata and decreased support for Porifera-sister in Whelan et al.'s reanalysis was not caused by the absence of a misleading signal specific to ribosomal proteins, but instead by a bias introduced by distant outgroups that becomes dominant when only the faster evolving nonribosomal proteins are retained.
“These results suggest that the lack of support for Coelenterata and decreased support for Porifera-sister in Whelan et al. ' s (6) reanalysis was not caused by the absence of a misleading signal specific to the generally slowly evolving ribosomal proteins but, instead, by a bias introduced by distant outgroups that becomes dominant when only the faster evolving nonribosomal proteins are retained.”
From Genomic data do not support comb jellies as the sister group to all other animals (2015) · cites this paper as [6]
Split into 2 atoms — 0 confirmed, 0 partially supported, 2 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIn the Whelan et al. datasets, excluding distantly related outgroups decreased support for Ctenophora-sister and increased support for Porifera-sister under the site-heterogeneous CAT model.
“analysis of the Whelan et al. (6) datasets gave decreased support for Ctenophora-sister because distantly related outgroups were excluded (Fig. 2 and Figs. S3 A -C and S4 A -C ). At the same time, support for Porifera-sister increased”
From Genomic data do not support comb jellies as the sister group to all other animals (2015) · cites this paper as [6]
In “Systematic Biases and Their Effect on Phylogenetic Inference” (page unavailable), Whelan et al. report that removing all outgroups except two choanoflagellates left the inferred relationships unchanged and Ctenophora-sister at 100% bootstrap support. The paper reports CAT-GTR analyses for the slowest-evolving datasets, not a CAT comparison showing that outgroup exclusion decreased Ctenophora-sister support or increased Porifera-sister support. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredStudies using partitioned site-homogeneous models have always recovered comb jellies as sister to other animals.
“Studies using partitioned site-homogeneous models have always recovered comb jellies as sister to other animals3,4,6,7.”
From Evidence for sponges as sister to all other animals from partitioned phylogenomics with mixture models and recoding (2021) · cites this paper as [7]
The Abstract and ‘Placement of Ctenophores Sister to all Remaining Animals Is Not Sensitive to Systematic Errors’ section report that all partitioned maximum-likelihood analyses in this paper recovered ctenophores as sister to other animals. They do not establish that studies using partitioned site-homogeneous models have always done so; the paper notes conflicting results among earlier analyses. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredRelaxed clustering has previously shown that partitioning by gene is the best fit for the WEA15 dataset.
“Relaxed clustering has previously shown that partitioning by gene is the best fit for the WEA15 dataset and this is the partitioning scheme that was used in the original study7.”
From Evidence for sponges as sister to all other animals from partitioned phylogenomics with mixture models and recoding (2021) · cites this paper as [7]
The Orthology Determination and Data Filtering section says the authors used relaxed clustering in PartitionFinder to select partitioning schemes and then used those schemes for maximum-likelihood analyses. It does not say that partitioning by gene was the best-fitting scheme for the WEA15 dataset. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Whelan et al. (6) recovered Ctenophora-sister with strong support from all 25 datasets they assembled.
“Whelan et al. (6) assembled 25 datasets differing in protein and species selection, and recovered Ctenophora-sister with strong support from all of them”
From Genomic data do not support comb jellies as the sister group to all other animals (2015) · cites this paper as [6]
The paper reports that datasets 1–25 recovered the same ctenophore placement, but it does not report strong support from all of them. In “Systematic Biases and Their Effect on Phylogenetic Inference” (page not provided), it specifically says support for relationships among ctenophores, sponges, and placozoans was low when all outgroups were removed (datasets 22–25). (LLM, conf=0.92)
Experimental — accuracy not yet measuredWhelan et al. (6) did not examine the combined effect of site-heterogeneous models and outgroup composition; all outgroup-subsampled datasets were analyzed exclusively using site-homogeneous substitution models, whereas analyses using the better-fitting site-heterogeneous model were exclusively performed using the full set of outgroups, which included distantly related Fungi.
“they did not examine the combined effect of these factors. That is, all of the outgroup-subsampled datasets were analyzed exclusively using site-homogeneous substitution models, whereas the analyses using the better-fitting site-heterogeneous model were exclusively performed using the full set of outgroups, which included distantly related Fungi”
From Genomic data do not support comb jellies as the sister group to all other animals (2015) · cites this paper as [6]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe same procedure applied to a previously published dataset led to the same results, suggesting the choice of model, not the dataset per se, is responsible for the effect.
“The same procedure applied to a previously published dataset [10] led to the same results, suggesting that the choice of the model of evolution, and not the dataset per se, is responsible for the effect observed (see Figure S3).”
From A Large and Consistent Phylogenomic Dataset Supports Sponges as the Sister Group to All Other Animals (2017) · cites this paper as [10]
In previous studies, Porifera-sister tended to be better supported by smaller, manually curated phylogenomic datasets, whereas datasets with many more genes assembled by automated procedures tended to support Ctenophora-sister.
“In previous studies, the Porifera-sister hypothesis has tended to be better supported by smaller, manually constructed and curatedphylogenomicdatasets[1-3],whereasdatasetsfeaturing many more genes and assembled using entirely automated procedures have tended to support Ctenophora-sister (e.g., [5-10]).”
From A Large and Consistent Phylogenomic Dataset Supports Sponges as the Sister Group to All Other Animals (2017) · cites this paper as [10]
Analyses of large-scale molecular superalignments have failed thus far to provide a widely accepted consensus for the branching order among the five major animal lineages.
“Analyses of large-scale molecular superalignments assembled from genomic or transcriptomic data have failed thus far to provide a widely accepted consensus for the branching order among the five major animal lineages, i.e., sponges, placozoans, ctenophores, cnidarians, and bilaterians [1-12].”
From A Large and Consistent Phylogenomic Dataset Supports Sponges as the Sister Group to All Other Animals (2017) · cites this paper as [10]
Potential causes of systematic error were controlled for by creating additional datasets that removed potentially problematic genes.
“Potential causes of systematic error were controlled for by creating additional datasets that removed potentially problematic genes (Supplementary Table S3) 11 .”
From Ctenophore relationships and their placement as the sister group to all other animals (2017) · cites this paper as [11]
The increase in support for sponge monophyly is consistent with other analyses arguing against sponge paraphyly.
“however, in our analyses support for the monophyly of sponges generally tends to increase as better-fitting models are applied (Supplementary Figs. 17-19, 21-23) consistent with other analyses arguing against this hypothesis7.”
From Evidence for sponges as sister to all other animals from partitioned phylogenomics with mixture models and recoding (2021) · cites this paper as [7]
Two datasets, REA and WEA15, supported Ctenophora sister under partitioned phylogenomics, but were found by Pisani and colleagues to support sponges as sister to other animals under CAT/CATGTR.
“Two of these, from Ryan et al.3 (REA dataset) and Whelan et al. (2015)7 (WEA15 dataset) supported Ctenophora sister under partitioned phylogenomics, but were found by Pisani and colleagues8 to support sponges as sister to other animals under CAT/CATGTR.”
From Evidence for sponges as sister to all other animals from partitioned phylogenomics with mixture models and recoding (2021) · cites this paper as [7]
While strong support for Ctenophora-sister may be obtained from phylogenomic datasets, our analysis suggests these results are caused by undetected systematic bias.
“Thus, while strong support for Ctenophora-sister may be obtained from phylogenomic datasets (2 -6, 46, 55), our analysis suggests these results are caused by undetected systematic bias.”
From Genomic data do not support comb jellies as the sister group to all other animals (2015) · cites this paper as [6]
Taken together, the datasets of Whelan et al. (6) do not support Ctenophora-sister when both distantly related outgroups are excluded and better-fitting substitution models are used.
“Taken together, our results show the datasets of Whelan et al. (6) do not support Ctenophora-sister when both distantly related outgroups are excluded and better-fitting substitution models are used”
From Genomic data do not support comb jellies as the sister group to all other animals (2015) · cites this paper as [6]
The absence of many gene families, coupled with massive lineage-specific expansions in others, suggests ctenophore genomes may be extremely derived compared with genomes of other animals.
“Finally, the absence of many gene families, coupled with massive lineage-specific expansions in others (6), suggests ctenophore genomes may be extremely derived compared with genomes of other animals.”
From Genomic data do not support comb jellies as the sister group to all other animals (2015) · cites this paper as [6]
The Abstract and Datasets and Accounting for Biases section describe phylogenetic analyses and ortholog filtering, not the absence of many ctenophore gene families or massive lineage-specific expansions. Searches for those terms and for derived ctenophore genomes found no passage addressing the cited premise. Page numbers were unavailable in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredRecent phylogenomic evidence supports Ctenophora as the sister group to all other animals.
“Recent phylogenomic evidence suggests that ctenophores may be the sister group to the rest of animals.”
From Where is my mind? How sponges and placozoans may have lost neural cell types (2015) · cites this paper as [6]
Two key phylogenomic datasets that previously supported Ctenophora-sister (WhelanD20 and Chang) display strong heterogeneity in amino acid composition across sites and taxa.
“We show that two key phylogenomic datasets that previously supported Ctenophora-sister [10, 12] display strong heterogeneity in amino acid composition across sites and taxa”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
Phylogenomic analyses have supported both Porifera-sister and Ctenophora-sister.
“However, phylogenomic analyses have supported both Porifera-sister [6, 7, 39, 41-44] and Ctenophora-sister [8-12, 35, 45, 46], with some studies (like [47]) presenting both trees.”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
Support for both Porifera-sister and Ctenophora-sister is generally recovered from the same dataset when different substitution models and/or taxon- and gene-sampling strategies are used.
“A key aspect of the debate is that support for both hypotheses is generally recovered from the same dataset when different substitution models and/or taxon- and gene-sampling strategies are used (contrast [6, 10] and [42, 45], and see [7, 43, 47]).”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
WhelanD20-Opistho supported Ctenophora-sister (PP ≥ 1).
“WhelanD20-Opistho, the dataset including all original outgroups from [10] (STAR Methods; Table 3; Figure S1D), supported Ctenophora-sister (PP z 1).”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
Ctenophora-sister invariably emerges when site-specific amino acid differences are not modeled or when they are modeled but distant outgroups are used to root the tree.
“Ctenophora-sister invariably emerges when site-specific amino acid differences are not modeled [10] or when site-specific amino acid differences are modeled but distant outgroups are used to root the tree [6].”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
WhelanD20 was not analyzed under its optimal PF-scheme because [10] already showed that this dataset supports Ctenophora-sister when the PF-scheme is used.
“WhelanD20 was not analyzed under its optimal PF-scheme because [10] already showed that this dataset supports Ctenophora-sister when the PF-scheme is used.”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
Dataset D16 from [10] is very similar to WhelanD20.
“which is very similar to WhelanD20”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
PF-schemes were used by [10].
“PFschemes were used by [10]”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
The dataset from [10] selected for analysis had not been reassessed in [6].
“The second is a dataset from [10] that had not been reassessed in [6].”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
PF-schemes are much worse than CAT-GTR+G and are not always better than unpartitioned modeling strategies at capturing the heterogeneity of the considered datasets.
“More broadly, our results demonstrate that PFschemes (strongly advocated for by [10, 28, 29, 38]) are much worse than CAT-GTR+G and are not always better than unpartitioned modeling strategies at capturing the heterogeneity of the considered datasets”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
WhelanD20 was obtained by removing genes of significant compositional heterogeneity from D16.
“as the latter was obtained in [10] by removing genes of significant compositional heterogeneity from D16”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
Dataset D20 explicitly excludes proteins of significant compositional heterogeneity.
“which apparently explicitly excludes proteins of significant compositional heterogeneity (see [10])”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
CAT-GTR+G analyses of a dataset from Whelan et al. [10] from which Shen et al. [11] removed 'outlier genes' still finds support for Porifera-sister (PP = 0.98 and PP = 0.99, respectively).
“Indeed, CAT-GTR+G analyses (with and without Dayhoff-6 recoding) of a dataset of [10] from which [11] removed ''outlier genes'' still finds support for Porifera-sister (PP = 0.98 and PP = 0.99, respectively; Figures S3I and S3J).”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
Dataset D20 from Whelan et al. [10] is their least compositionally heterogeneous dataset.
“The dataset we selected from [10] was dataset D20, their least compositionally heterogeneous dataset”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
Whelan et al. [38] increased the number of ctenophoran species compared to those they used in [10].
“Whelan et al. [38] have increased the number of ctenophoran species compared to those they used in [10].”
From Improved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals (2017) · cites this paper as [10]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
A 90% result is classified as below 90%
MinorDataset 9 is listed among analyses with less than 90% bootstrap support for sponge monophyly, whereas Table 1 gives it exactly 90 BS.
“four analyses with only certain paralogs removed recovered low support (< 90% BS) for sponge monophyly (datasets 5, 7, 9, and 10 in Figs. 2 and 3 and Figs.S1E and S2 A, D, and E).”
“| Genes with high LB scores | 9.E-41 | 9.E-05 | 2.E-04 | 2.E-66 | 99 BS | 90 BS |”
The same dataset IDs are assigned two outgroup schemes
MinorDatasets 5, 11, 15, and 21 are identified as choanoflagellate-only analyses, then cited as analyses with full outgroup sampling.
“When all outgroups except two choanoflagellates were removed (datasets 5, 11, 15, and 21 in Fig. 2)”
“analyses we performed with full outgroup sampling (datasets 5, 11, 15, and 21 in Figs. 2 and 3 and Figs.S1E, S2E, S3C, and S4C)”
Dataset 11 falls below the stated ctenophore-support threshold
MinorThe text says every maximum-likelihood analysis with outgroups gave at least 97% bootstrap support for ctenophores as sister to the other animals. Table 1 reports 92 BS for dataset 11, which retains choanoflagellate outgroups.
“All maximum-likelihood analyses with outgroups resulted in topologies with strong support [≥ 97% bootstrap support (BS)] for ctenophores sister to all other extant animal lineages (datasets 1-21 in Figs. 2 and 3 and Figs.S1-S4).”
“| Choanoflagellate-only | 1.E-03 | 3.E-36 | 1.E-02 | 6.E-104 | 92 BS | 82 BS |”
Table 1 assigns Philippe et al. the wrong reference number
MinorTable 1 labels the Philippe et al. analysis as reference 7, while the reference list identifies reference 7 as Nosenko et al.; Philippe et al. is reference 9.
“| Philippe et al. (7) Maximum | 0.001 | 0.010 | 0.008 | 0.075 | 93 BS | 42 BS |”
“7. Nosenko T, et al. (2013) Deep metazoan phylogeny: When different genes tell dif- ferent stories.”
Several alternative-hypothesis P values exceed the claimed bound
MinorThe stated upper bound is P ≤ 0.001 for every alternative-hypothesis test, but Table 1 includes P = 0.01 for the Porifera-sister hypothesis in dataset 4. Other entries also exceed the bound.
“Alternative hypotheses of basal animal relationships (Fig. 1) were rejected by every phylogenetic analysis as measured by the approximately unbiased (AU) (31) test (P ≤ 0.001) (Table 1).”
“| Genes with high LB scores | 1.E-02 | 2.E-04 | 2.E-32 | 3.E-47 | 100 BS | 94 BS |”
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Self-citationTreSpEx-detection of misleading signal in phylogenetic reconstructions based on tree information
Struck, T. H. (2014) · Evolutionary Bioinformatics · doi:10.4137/ebo.s14239 · Cited by 128 · cited 14× · see citing works
“Struck TH (2014) TreSpEx-detection of misleading signal in phylogenetic reconstructions based on tree information.”
BackgroundMethodInfluentialNo longer Demospongiae: Homoscleromorpha formal nomination as a fourth class of Porifera
Gazave, E., Lapébie, P., Ereskovsky, A. V., Vacelet, J., Renard, E., Cárdenas, P., & Borchiellini, C. (2012) · Hydrobiologia · doi:10.1007/s10750-011-0842-x · Cited by 126 · cited 2× · see citing works
“, Demospongiae + Hexactinellida sister to Calcarea + Homoscleromorpha) were consistent with morphology (27, 28) and most other molecular analyses that have recovered monophyletic sponges (datasets 1–27 in Figs.”
BackgroundMethodTesting the phylogenetic stability of early tetrapods
THORLEY, J. L., & WILKINSON, M. (1999) · Journal of Theoretical Biology · doi:10.1006/jtbi.1999.0999 · Cited by 99 · cited 1× · see citing works
“Leaf-stability indices (55) for each taxon were measured in PhyUtility (56) to identify potentially unstable taxa in each dataset.”
MethodChoanoflagellate and choanocyte collar-flagellar systems and the assumption of homology
Mah, J. L., Christensen‐Dalsgaard, K. K., & Leys, S. P. (2014) · Evolution & Development · doi:10.1111/ede.12060 · Cited by 96 · cited 1× · see citing works
“(38) found that homology between choanoflagellates and sponge choanocytes is not as definitive as previously assumed.”
BackgroundMitogenomics at the base of Metazoa
Osigus, H.-J., Eitel, M., Bernt, M., Donath, A., & Schierwater, B. (2013) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2013.07.016 · Cited by 89 · cited 1× · see citing works
“Similarly, some authors have argued that Placozoans are sister to all other animals because they lack neural and muscular systems and also share similarities in mitochondrial genome size with choanoflagellaes (2, 39).”
BackgroundRecent developments in comparative endocrinology and neurobiology.
Roubos, E. W., Bonga, S. E. W., & Vaudry, H. (1999) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 88 · see citing works
Natural selection and phylogenetic analysis
Edwards, S. V. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904103106 · Cited by 79 · cited 1× · see citing works
“Furthermore, extremely low mutation rates can indicate selection and result in too little phylogenetic information, both of which could lead to the inference of incorrect relationships (33).”
BackgroundConvergence of ion channel genome content in early animal evolution
Liebeskind, B. J., Hillis, D. M., & Zakon, H. H. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1501195112 · Cited by 76 · see citing works
Detecting the symplesiomorphy trap: A multigene phylogenetic analysis of terebelliform annelids
Zhong, M., Hansen, B., Nesnidal, M., Golombek, A., Halanych, K. M., & Struck, T. H. (2011) · BMC Evolutionary Biology · doi:10.1186/1471-2148-11-369 · Cited by 73 · cited 3× · see citing works
“Full dataset “Certain” paralogs removed “Uncertain” & “certain” paralogs removed Taxa with high LB scores removed Heterogeneous genes removed Lowest half RCFV genes Taxa with high LB scores removed Heterogeneous genes removed Lowest half RCFV genes Genes with high LB scores removed Genes with high LB scores removed Ou…”
MethodSelf-citationNovel scenarios of early animal evolution--is it time to rewrite textbooks?
Dohrmann, M., & Worheide, G. (2013) · Integrative and Comparative Biology · doi:10.1093/icb/ict008 · Cited by 71 · see citing works
Straub, S. C. K., Moore, M. J., Soltis, P. S., Soltis, P. S., Liston, A., & Livshultz, T. (2014) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2014.07.020 · Cited by 66 · cited 1× · see citing works
“Taxa with high LB scores removed (13) 6.”
BackgroundStrepsiptera, Phylogenomics and the Long Branch Attraction Problem
Boussau, B., Walton, R. Z., Delgado, J. A., Collantes, F., Beani, L., Stewart, I., Cameron, S. A., Whitfield, J. B., Johnston, J. S., Holland, P. W. H., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107709 · Cited by 64 · see citing works
Agent of whirling disease meets orphan worm: phylogenomic analyses firmly place Myxozoa in Cnidaria
Nesnidal, M. P., Helmkampf, M., Bruchhaus, I., El-Matbouli, M., & Hausdorf, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054576 · Cited by 64 · cited 1× · see citing works
“Notably, a study focused only on myxozoan cnidarians (34) used the same matrix as Philippe et al.”
BackgroundVoigt, O., Adamski, M., Sluzek, K., & Adamska, M. (2014) · BMC Evolutionary Biology · doi:10.1186/s12862-014-0230-z · Cited by 63 · see citing works
On the phylogenetic position of Myzostomida: Can 77 genes get it wrong?
Bleidorn, C., Podsiadlowski, L., Zhong, M., Eeckhaut, I., Hartmann, S., Halanych, K. M., & Tiedemann, R. (2009) · BMC Evolutionary Biology · doi:10.1186/1471-2148-9-150 · Cited by 59 · cited 2× · see citing works
“Ribosomal protein genes have previously been identified as a potential source of phylogenetic error (32), and the above indicates that ctenophores sister to cnidarians as in Philippe et al.”
BackgroundSelf-citationvan Soest, R. W. M. (1984) · Bijdragen tot de Dierkunde · doi:10.1163/26660644-05402007 · Cited by 47 · cited 1× · see citing works
“, Demospongiae + Hexactinellida sister to Calcarea + Homoscleromorpha) were consistent with morphology (27, 28) and most other molecular analyses that have recovered monophyletic sponges (datasets 1–27 in Figs.”
BackgroundThe ctenophore lineage is older than sponges? That cannot be right! Or can it?
Halanych, K. M. (2015) · Journal of Experimental Biology · doi:10.1242/jeb.111872 · Cited by 38 · cited 1× · see citing works
“Furthermore, the Porifera-sister hypothesis lacks critical evaluation and homology of many characters in these taxa still need thorough analysis (44).”
BackgroundSelf-citationData for "Strepsiptera, phylogenomics and the long branch attraction problem"
Boussau, B. (2014) · HAL · doi:10.6084/m9.figshare.1040412
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Sorted by citations
ClipKIT: A multiple sequence alignment trimming software for accurate phylogenomic inference
Steenwyk, J. L., Buida, T. J., Li, Y., Shen, X., & Rokas, A. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3001007 · Cited by 691 · see citing works
“The 4 simulated datasets (Nalignments = 50 alignments per dataset or 200 total) stem from simulated nucleotide sequence evolution along the species phylogeny of 93 filamentous fungi [10] and from simulated amino acid sequence evolution along the species phylogenies of 70 metazoans [11], 46 flowering plants [12], and 9…”
BackgroundMethodMallet, J., Besansky, N. J., & Hahn, M. W. (2015) · BioEssays · doi:10.1002/bies.201500149 · Cited by 580 · see citing works
“Given that other major groups, such as the placental mammals [13], or the animals as a whole [82], appear also to have evolved in rapid”
BackgroundSimion, P., Philippe, H., Baurain, D., Jager, M., Richter, D. J., Di Franco, A., Roure, B., Satoh, N., Quéinnec, É., Ereskovsky, A., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.02.031 · Cited by 518 · see citing works
“The same procedure applied to a previously published dataset [10] led to the same results, suggesting that the choice of the model of evolution, and not the dataset per se, is responsible for the effect observed (see Figure S3).”
Contentious relationships in phylogenomic studies can be driven by a handful of genes
Shen, X.-X., Hittinger, C. T., & Rokas, A. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0126 · Cited by 520 · see citing works
Ancient gene linkages support ctenophores as sister to other animals
Schultz, D. T., Haddock, S. H. D., Bredeson, J. V., Green, R. E., Simakov, O., & Rokhsar, D. S. (2023) · Nature · doi:10.1038/s41586-023-05936-6 · Cited by 362 · see citing works
Xenacoelomorpha is the sister group to Nephrozoa
Cannon, J. T., Vellutini, B. C., Smith, J., Ronquist, F., Jondelius, U., & Hejnol, A. (2016) · Nature · doi:10.1038/nature16520 · Cited by 364 · see citing works
A genome-scale phylogeny of the kingdom Fungi
Li, Y., Steenwyk, J. L., Chang, Y., Wang, Y., James, T. Y., Stajich, J., Spatafora, J. W., Groenewald, M., Dunn, C. W., Hittinger, C. T., et al. (2021) · Current Biology · doi:10.1016/j.cub.2021.01.074 · Cited by 373 · see citing works
“Top100_slow-evolving – data matrix #8 This data matrix was constructed by retaining the 100 BUSCO genes with the lowest values of average pairwise patristic distance, which has previously been used to evaluate if fast-evolving genes bias phylogenetic inference 29,79 .”
The origin of Metazoa: a unicellular perspective
Sebé-Pedrós, A., Degnan, B. M., & Ruiz-Trillo, I. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.21 · Cited by 332 · see citing works
Revisiting metazoan phylogeny with genomic sampling of all phyla
Laumer, C. E., Fernández, R., Lemer, S., Combosch, D., Kocot, K. M., Riesgo, A., Andrade, S. C. S., Sterrer, W., Sørensen, M. V., & Giribet, G. (2019) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2019.0831 · Cited by 360 · see citing works
“It has been claimed that support for Ctenophora in this position even in taxonomically well-sampled datasets [9,10] is an artefact, which can be ameliorated by some combination of using adequately complex substitution models (such as CAT þ GTR) [11], deleting compositionally biased, distant outgroups, and/ or recoding…”
MethodSelf-citationGenomic data do not support comb jellies as the sister group to all other animals
Pisani, D., Pett, W., Dohrmann, M., Feuda, R., Rota-Stabelli, O., Philippe, H., Lartillot, N., & Wörheide, G. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518127112 · Cited by 319 · see citing works
“(6), and identify several problems in these studies, specifically the combined use of relatively simplistic models of molecular”
BackgroundMethodResultInfluentialReddy, S., Kimball, R. T., Pandey, A., Hosner, P. A., Braun, M. J., Hackett, S. J., Han, K.-L., Harshman, J. S., Huddleston, C. J., Kingston, S. E., et al. (2017) · Systematic Biology · doi:10.1093/sysbio/syx041 · Cited by 288 · see citing works
“Indeed, two studies have reported that the phylogenetic signal associated with ribosomal proteins conflict with the signal associated with other proteins (Nosenko et al. 2013; Whelan et al. 2015), and another noted a difference between introns and UTRs (Bonilla et al.”
BackgroundImproved Modeling of Compositional Heterogeneity Supports Sponges as Sister to All Other Animals
Feuda, R., Dohrmann, M., Pett, W., Philippe, H., Rota-Stabelli, O., Lartillot, N., Wörheide, G., & Pisani, D. (2017) · Current Biology · doi:10.1016/j.cub.2017.11.008 · Cited by 291 · see citing works
“The second is that protein-specific amino acid replacement patterns across WhelanD20 and Chang could not be captured by the empirical substitution matrices considered in the PartitionFinder analyses of [10]”
InfluentialCtenophore relationships and their placement as the sister group to all other animals
Whelan, N. V., Kocot, K. M., Moroz, T. P., Mukherjee, K., Williams, P., Paulay, G., Moroz, L. L., & Halanych, K. M. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0331-3 · Cited by 263 · see citing works
Self-citationGenome-wide interrogation advances resolution of recalcitrant groups in the tree of life
Arcila, D., Ortí, G., Vari, R., Armbruster, J. W., Stiassny, M. L. J., Ko, K. D., Sabaj, M. H., Lundberg, J., Revell, L. J., & Betancur-R., R. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-016-0020 · Cited by 243 · see citing works
Lavrov, D. V., & Pett, W. (2016) · Genome Biology and Evolution · doi:10.1093/gbe/evw195 · Cited by 234 · see citing works
“The relationships among nonbilaterian phyla and bilaterian animals remain contentious (Pisani et al. 2015; Whelan et al. 2015), but are largely irrelevant to the present study.”
BackgroundPhylogenomics of Lophotrochozoa with Consideration of Systematic Error
Kocot, K. M., Struck, T. H., Merkel, J., Waits, D. S., Todt, C., Brannock, P. M., Weese, D., Cannon, J. T., Moroz, L. L., Lieb, B., et al. (2016) · Systematic Biology · doi:10.1093/sysbio/syw079 · Cited by 204 · see citing works
Self-citationReconstructing the Backbone of the Saccharomycotina Yeast Phylogeny Using Genome-Scale Data
Shen, X., Zhou, X., Kominek, J., Kurtzman, C. P., Hittinger, C. T., & Rokas, A. (2016) · G3 Genes Genomes Genetics · doi:10.1534/g3.116.034744 · Cited by 208 · see citing works
“Individually estimated ML gene trees were used as input to estimate the coalescent-based phylogenies for the AA and C12 data matrices using the ASTRAL software, version 4.7.7 (Mirarab et al. 2014).”
InfluentialEvolutionary History of Chemosensory-Related Gene Families across the Arthropoda
Eyun, S., Soh, H. Y., Posavi, M., Munro, J. B., Hughes, D., Murali, S. C., Qu, J., Dugan, S., Lee, S. L., Chao, H., et al. (2017) · Molecular Biology and Evolution · doi:10.1093/molbev/msx147 · Cited by 205 · see citing works
“1) (Moroz et al. 2014; Whelan et al. 2015), we can infer that the GRs evolved after the emergence of metazoans (850–550 Ma) and during the early stages of animal evolution (fig.”
BackgroundFidler, A. L., Boudko, S. P., Rokas, A., & Hudson, B. G. (2018) · Journal of Cell Science · doi:10.1242/jcs.203950 · Cited by 228 · see citing works
“…candidates to be the sister-groups to the rest of animals, based on phylogenetic analyses of genomic and transcriptomic data and cell-type evolution (Ryan et al., 2013; Moroz et al., 2014; Pisani et al., 2015; Whelan et al., 2015; Telford et al., 2016; King and Rokas, 2017; Feuda et al., 2017).”
BackgroundPhylogenomic Insights into Animal Evolution
Telford, M. J., Budd, G. E., & Philippe, H. (2015) · Current Biology · doi:10.1016/j.cub.2015.07.060 · Cited by 213 · see citing works
OMA standalone: orthology inference among public and custom genomes and transcriptomesPreprint
Altenhoff, A., Levy, J., Zarowiecki, M., Tomiczek, B., Vesztrocy, A. W., Dalquen, D. A., Müller, S., Telford, M. J., Glover, N. M., Dylus, D., et al. (2019) · Genome Research · doi:10.1101/gr.243212.118 · Cited by 159 · see citing works
Collagen IV and basement membrane at the evolutionary dawn of metazoan tissues
Fidler, A. L., Darris, C. E., Chetyrkin, S. V., Pedchenko, V. K., Boudko, S. P., Brown, K. L., Jerome, W. G., Hudson, J. K., Rokas, A., & Hudson, B. G. (2017) · eLife · doi:10.7554/elife.24176 · Cited by 188 · see citing works
“Collectively, we propose a model for collagen IV gene evolution that incorporates both Ctenophora-first and Porifera-first hypotheses (Figure 11).”
BackgroundInfluentialThe origin of animals: an ancestral reconstruction of the unicellular-to-multicellular transition
Ros-Rocher, N., Pérez-Posada, A., Leger, M. M., & Ruiz‐Trillo, I. (2021) · Open Biology · doi:10.1098/rsob.200359 · Cited by 160 · see citing works
Kapli, P., & Telford, M. J. (2020) · Science Advances · doi:10.1126/sciadv.abc5162 · Cited by 162 · see citing works
Dong, W., Xu, C., Wu, P., Cheng, T., Yu, J. Q., Zhou, S., & De‐Yuan, H. (2018) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2018.04.033 · Cited by 132 · see citing works
Dynamics of genomic innovation in the unicellular ancestry of animals
Grau-Bové, X., Torruella, G., Donachie, S. P., Suga, H., Leonard, G., Richards, T., & Ruiz-Trillo, I. (2017) · eLife · doi:10.7554/elife.26036 · Cited by 166 · see citing works
“…et al., 2016), Fungi (Torruella et al., 2015), the contentious hypotheses for the root of eukaryotes (namely, ‘Opimoda-Diphoda’ or ‘Excavata-first’) (Derelle et al., 2015; He et al., 2014) and the earliest-branching animal group (Porifera or Ctenophora) (Whelan et al., 2015; Simion et al., 2017).”
BackgroundBallesteros, J. A., & Sharma, P. P. (2019) · Systematic Biology · doi:10.1093/sysbio/syz011 · Cited by 158 · see citing works
Borowiec, M. L., Lee, E. K., Chiu, J. C., & Plachetzki, D. C. (2015) · doi:10.1101/013946 · Cited by 172 · see citing works
“This is true especially of sponges, where branches subtending this group could be dramatically shortened [1, 6, 9] with additional sampling.”
BackgroundResultInfluentialZhou, X., Shen, X.-X., Hittinger, C. T., & Rokas, A. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msx302 · Cited by 164 · see citing works
“2015], and WhelA6 [Whelan et al. 2015] cover mammals, vertebrates, and metazoans, respectively); and 4) they consist of sequence data derived from different technologies (e.”
MethodIndependent origins of neurons and synapses: insights from ctenophores
Moroz, L. L., & Kohn, A. B. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0041 · Cited by 171 · see citing works
Self-citationEvolutionary conservation of the antimicrobial function of mucus: a first defence against infection
Bakshani, C. R., Morales‐Garcia, A. L., Althaus, M., Wilcox, M. D., Pearson, J. P., Bythell, J. C., & Burgess, J. G. (2018) · npj Biofilms and Microbiomes · doi:10.1038/s41522-018-0057-2 · Cited by 160 · see citing works
“The Ctenophora are a sistergroup to the Cnidaria and represent the most distant animal relatives of humans.(17) Analogous to the Cnidaria, they are diploblastic and radially symmetrical(18) and are known more commonly as comb jellies.”
BackgroundNew deep-sea species of Xenoturbella and the position of Xenacoelomorpha
Rouse, G. W., Wilson, N. G., Carvajal, J. I., & Vrijenhoek, R. C. (2016) · Nature · doi:10.1038/nature16545 · Cited by 150 · see citing works
Embracing Uncertainty in Reconstructing Early Animal Evolution
King, N., & Rokas, A. (2017) · Current Biology · doi:10.1016/j.cub.2017.08.054 · Cited by 144 · see citing works
“In contrast, analyses employing site-heterogeneous models (and in particular the CAT model [47]) typically recover sponges as the sister branch ([34–37,41,42], but see [38,40,48]).”
MethodRooting the Animal Tree of Life
Li, Y., Shen, X.-X., Evans, B., Dunn, C. W., & Rokas, A. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab170 · Cited by 146 · see citing works
Redmond, A. K., & McLysaght, A. (2021) · Nature Communications · doi:10.1038/s41467-021-22074-7 · Cited by 139 · see citing works
“Two of these, from Ryan et al.3 (REA dataset) and Whelan et al. (2015)7 (WEA15 dataset) supported Ctenophora sister under partitioned phylogenomics, but were found by Pisani and colleagues8 to support sponges as sister to other animals under CAT/ CATGTR.”
Early metazoan life: divergence, environment and ecology
Erwin, D. H. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0036 · Cited by 157 · see citing works
“Nonetheless, this new study evaluated these problems through increased taxon sampling and other improvements, and found support for ctenophores at the base of metazoans [14,15].”
BackgroundSearching the Evolutionary Origin of Epithelial Mucus Protein Components—Mucins and FCGBP
Lang, T., Klasson, S., Larsson, E., Johansson, M., Hansson, G. C., & Samuelsson, T. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw066 · Cited by 135 · see citing works
“In conclusion, we have identified proteins with properties of gel-forming mucins in Ctenophora, a group shown to be sister to all other animals (Whelan et al. 2015).”
BackgroundPhylogenomic Subsampling and the Search for Phylogenetically Reliable Loci
Koch, N. M. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab151 · Cited by 121 · see citing works
“…size of phylogenomic data sets is to discard loci that seem most affected by potential sources of bias (Nesnidal et al. 2010; Borowiec et al. 2015; Whelan et al. 2015; Kocot et al. 2017; Mongiardino Koch et al. 2018; Marl etaz et al. 2019), including high levels of saturation and heterogeneities…”
BackgroundMethodNeural versus alternative integrative systems: molecular insights into origins of neurotransmitters
Moroz, L. L., Romanova, D. Y., & Kohn, A. B. (2021) · Philosophical Transactions of the Royal Society B · doi:10.1098/rstb.2019.0762 · Cited by 130 · see citing works
Self-citationHejnol, A., & Lowe, C. J. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0045 · Cited by 102 · see citing works
“Further development of the methodology and larger taxon sampling demonstrate the potential to resolve the position of even the most problematic taxa and to address long-branch attraction (LBA) artefacts caused by fast-evolving sequences and rapid radiations [100–102].”
BackgroundMethodOn the evolution of bilaterality
Genikhovich, G., & Technau, U. (2017) · Development · doi:10.1242/dev.141507 · Cited by 121 · see citing works
Early sponge evolution: A review and phylogenetic framework
Botting, J. P., & Muir, L. A. (2018) · Palaeoworld · doi:10.1016/j.palwor.2017.07.001 · Cited by 125 · see citing works
Sperling, E. A., & Stockey, R. G. (2018) · Integrative and Comparative Biology · doi:10.1093/icb/icy088 · Cited by 122 · see citing works
The Multispecies Coalescent Model Outperforms Concatenation Across Diverse Phylogenomic Data Sets
Jiang, X., Edwards, S. V., & Liu, L. (2020) · Systematic Biology · doi:10.1093/sysbio/syaa008 · Cited by 98 · see citing works
“2018) 10/90 4709/5162 CDS Mammal2017 (Scornavacca and Galtier 2017) 10/97 108/110 CDS Metazoan2015 (Whelan et al. 2015) 10/76 36/115 CDS Shrew (Giarla and Esselstyn 2015) 10/19 966/1112 UCE Squirrel (McLean et al.”
BackgroundA congruent topology for deep gastropod relationships
Cunha, T. J., & Giribet, G. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2018.2776 · Cited by 106 · see citing works
Simion, P., Belkhir, K., Francois, C. M., Veyssier, J., Rink, J. C., Manuel, M., Philippe, H., & Telford, M. J. (2018) · BMC Biology · doi:10.1186/s12915-018-0486-7 · Cited by 95 · see citing works
“One of these problematic relationships has been recovered with maximal support in four recent studies based on dataset A [22, 35 – 37].”
ResultSupport for a clade of Placozoa and Cnidaria in genes with minimal compositional bias
Laumer, C. E., Gruber-Vodicka, H., Hadfield, M. G., Pearse, V. B., Riesgo, A., Marioni, J. C., & Giribet, G. (2018) · eLife · doi:10.7554/elife.36278 · Cited by 112 · see citing works
Whelan, N. V., & Halanych, K. M. (2016) · Systematic Biology · doi:10.1093/sysbio/syw084 · Cited by 96 · see citing works
Self-citationComparative genomics and the nature of placozoan species
Eitel, M., Francis, W. R., Varoqueaux, F., Daraspe, J., Osigus, H., Krebs, S., Vargas, S., Blum, H., Williams, G. A., Schierwater, B., et al. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2005359 · Cited by 92 · see citing works
Rooting the tree of life: the phylogenetic jury is still out
Gouy, R., Baurain, D., & Philippe, H. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0329 · Cited by 96 · see citing works
Betancur‐R, R., Arcila, D., Vari, R. P., Hughes, L. C., Oliveira, C., Sabaj, M. H., & Ortı́, G. (2018) · Evolution · doi:10.1111/evo.13649 · Cited by 97 · see citing works
“…studies show that phylogenomics can lead to strong support for conflicting hypotheses, indicating that incongruence remains a problem in the era of big genomic data (e.g., Ryan et al. 2013; Dunn et al. 2014; Pisani et al. 2015; Whelan et al. 2015; Arcila et al. 2017; Chakrabarty et al. 2017).”
BackgroundInfluentialAncestral state reconstruction of ontogeny supports a bilaterian affinity for <i>Dickinsonia</i>
Gold, D. A., Runnegar, B., Gehling, J. G., & Jacobs, D. K. (2015) · Evolution & Development · doi:10.1111/ede.12168 · Cited by 99 · see citing works
“Other phylogenomic datasets have also failed to recover the Coelenterata (Pick et al. 2010; Ryan et al. 2013; Moroz et al. 2014; Whelan et al. 2015)—and ctenophores lack a significant number of molecular features conserved between cnidarians and bilaterians (Ryan et al.”
BackgroundInfluentialWang, H.-C., Susko, E., & Roger, A. J. (2019) · Systematic Biology · doi:10.1093/sysbio/syz021 · Cited by 85 · see citing works
Zhao, Y., Vinther, J., Parry, L. A., Wei, F., Green, E., Pisani, D., Hou, X., Edgecombe, G. D., & Cong, P. (2019) · Current Biology · doi:10.1016/j.cub.2019.02.036 · Cited by 89 · see citing works
A developmental perspective on the evolution of the nervous system
Martín-Durán, J. M., & Hejnol, A. (2019) · Developmental Biology · doi:10.1016/j.ydbio.2019.10.003 · Cited by 72 · see citing works
Tikhonenkov, D. V., Hehenberger, E., Сергеевич, Е. А., Belyakova, O. I., Mazei, Y., Mylnikov, A. P., & Keeling, P. J. (2020) · BMC Biology · doi:10.1186/s12915-020-0762-1 · Cited by 85 · see citing works
“…lineages of animals on phylogenetic trees is still debated: some consider either sponges (Porifera) [4 – 6] or Ctenophora [7 – 9] or Placozoa [10, 11] to be the first branch of extant metazoans (although most data show the latter scenario to be the least realistic of these possibilities [2, 12]).”
BackgroundA New Orthology Assessment Method for Phylogenomic Data: Unrooted Phylogenetic Orthology
Ballesteros, J. A., & Hormiga, G. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw069 · Cited by 71 · see citing works
Wang, J., Zhang, L., Lian, S., Qin, Z., Zhu, X., Dai, X., Huang, Z., Ke, C., Zhou, Z., Wei, J., et al. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-020-1138-1 · Cited by 68 · see citing works
Evolution of glutamatergic signaling and synapses
Moroz, L. L., Nikitin, M. A., Poličar, P. G., Kohn, A. B., & Romanova, D. Y. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108740 · Cited by 80 · see citing works
Self-citationSenatore, A., Raiss, H., & Le, P. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2016.00481 · Cited by 74 · see citing works
“These findings were corroborated in an expanded effort, where the authors sought to curtail potential systematic errors in phylogenetic inference (Whelan et al., 2015).”
BackgroundJindrich, K., & Degnan, B. M. (2016) · BMC Evolutionary Biology · doi:10.1186/s12862-016-0598-z · Cited by 80 · see citing works
“Notably, ctenophores, which are deemed to be the earliest branching metazoan phyletic lineage [14], exhibit a higher level of bZIP gene loss than any other metazoan lineage (Fig.”
BackgroundRichards, E. J., Brown, J. M., Barley, A. J., Chong, R. A., & Thomson, R. C. (2018) · Systematic Biology · doi:10.1093/sysbio/syy013 · Cited by 74 · see citing works
“Several cases are now known where different genomic data sets support conflicting phylogenetic hypotheses with very high statistical support (e.g., Dunn et al. 2008; Philippe et al. 2009; Schierwater et al. 2009; Whelan et al. 2015), sometimes implying very different scenarios for the evolution of important traits (e.”
BackgroundA Total-Evidence Dated Phylogeny of Echinoidea Combining Phylogenomic and Paleontological Data
Koch, N. M., & Thompson, J. R. (2020) · Systematic Biology · doi:10.1093/sysbio/syaa069 · Cited by 69 · see citing works
de, A. N., Barley, A. J., Meza-Lázaro, R. N., García‐Vázquez, U. O., Zamora‐Abrego, J. G., Thomson, R. C., & Leaché, A. D. (2016) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2016.09.001 · Cited by 74 · see citing works
“In some circumstances, different approaches to analyzing phylogenetic datasets can have profound impacts on phylogenetic inference (e.g., Leaché et al., 2015b; Pisani et al., 2015; Shaffer et al., 2013; Whelan et al., 2015).”
BackgroundWhere is my mind? How sponges and placozoans may have lost neural cell types
Ryan, J. F., & Chiodin, M. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0059 · Cited by 73 · see citing works
Sharma, P. P., Baker, C. M., Cosgrove, J. G., Johnson, J. E., Oberski, J. T., Raven, R. J., Harvey, M. S., Boyer, S. L., & Giribet, G. (2018) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2018.01.003 · Cited by 67 · see citing works
Complex Homology and the Evolution of Nervous Systems
Liebeskind, B. J., Hillis, D. M., Zakon, H. H., & Hofmann, H. A. (2015) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2015.12.005 · Cited by 67 · see citing works
“Although this placement remains controversial [17], several independent studies have arrived at this conclusion [14–16,18].”
Smith, C. L., Reese, T. S., Govezensky, T., & Barrio, R. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1815655116 · Cited by 61 · see citing works
Singhal, S., Colston, T. J., Grundler, M. R., Smith, S. A., Costa, G. C., Colli, G. R., Moritz, C. C., Pyron, R. A., & Rabosky, D. L. (2020) · Systematic Biology · doi:10.1093/sysbio/syaa054 · Cited by 64 · see citing works
Telford, M. J., Moroz, L. L., & Halanych, K. M. (2016) · Nature · doi:10.1038/529286a · Cited by 65 · see citing works
Self-citationLücking, R. (2019) · Critical Reviews in Plant Sciences · doi:10.1080/07352689.2019.1650517 · Cited by 67 · see citing works
Moroz, L. L., & Kohn, A. B. (2015) · Integrative and Comparative Biology · doi:10.1093/icb/icv104 · Cited by 61 · see citing works
“The two most recent phylogenetic analyses strongly support the placement of ctenophores as the sister group to all other animals (Borowiec et al. 2015; Whelan et al. 2015).”
BackgroundSelf-citationNew animal phylogeny: future challenges for animal phylogeny in the age of phylogenomics
Giribet, G. (2015) · Organisms Diversity & Evolution · doi:10.1007/s13127-015-0236-4 · Cited by 65 · see citing works
Evolution of the Chlorophyta: Insights from chloroplast phylogenomic analyses
Fang, L., Leliaert, F., Zhang, Z., Penny, D., & Zhong, B. (2017) · Journal of Systematics and Evolution · doi:10.1111/jse.12248 · Cited by 59 · see citing works
“Inaccurate phylogenetic relationships are often inferred when the nucleotide or amino acid data poorly fit to the substitution model (Philippe et al., 2011; Whelan et al., 2015).”
BackgroundEvolutionary origin of synapses and neurons – Bridging the gap
Burkhardt, P., & Sprecher, S. G. (2017) · BioEssays · doi:10.1002/bies.201700024 · Cited by 60 · see citing works
Construction of a Species-Level Tree of Life for the Insects and Utility in Taxonomic Profiling
Chesters, D. (2016) · Systematic Biology · doi:10.1093/sysbio/syw099 · Cited by 60 · see citing works
The evolution of animal genomes
Dunn, C. W., & Ryan, J. F. (2015) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2015.08.006 · Cited by 57 · see citing works
DNA Methylation in Basal Metazoans: Insights from Ctenophores
Dabe, E. C., Sanford, R. S., Kohn, A. B., Bobkova, Y. V., & Moroz, L. L. (2015) · Integrative and Comparative Biology · doi:10.1093/icb/icv086 · Cited by 57 · see citing works
“…strongly suggests the placement of ctenophores as a sister group to all other metazoans (Ryan et al. 2013; Moroz et al 2014; Borowiec et al. 2015; Whelan et al. 2015a, 2015b) with a possibility that the ctenophore lineage independently evolved many metazoan characteristics such as neurons,…”
BackgroundSelf-citationThe Mitochondrial Genomes of a Myxozoan Genus Kudoa Are Extremely Divergent in Metazoa
Takeuchi, F., Sekizuka, T., Ogasawara, Y., Yokoyama, H., Kamikawa, R., Inagaki, Y., Nozaki, T., Sugita‐Konishi, Y., Ohnishi, T., & Kuroda, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132030 · Cited by 47 · see citing works
“A fast mitochondrial evolutionary rate is known for Ctenophora, which is the oldest lineage of Metazoa and has evolved a neural system in parallel with the Bilateria+Cnidaria clade [13,14,25,26].”
BackgroundThe phylogeny of insects in the data‐driven era
Chesters, D. (2019) · Systematic Entomology · doi:10.1111/syen.12414 · Cited by 57 · see citing works
“An approach taken recently is formation of individual matrices filtered for different sources of bias (Whelan et al. , 2015; Garrison et al. , 2016; Cunha & Giribet, 2019), although it is not implicit how any incongruence between trees of different matrices should be interpreted.”
BackgroundThe Role of Homology and Orthology in the Phylogenomic Analysis of Metazoan Gene Content
Pett, W., Adamski, M., Adamska, M., Francis, W. R., Eitel, M., Pisani, D., & Wörheide, G. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz013 · Cited by 57 · see citing works
Naser-Khdour, S., Bui, M., & Lanfear, R. (2021) · Systematic Biology · doi:10.1093/sysbio/syab067 · Cited by 53 · see citing works
“previous studies have sensibly used ratio likelihood tests such as the Shimodaira–Hasegawa (SH) test (Shimodaira and Hasegawa 1999) and the approximately unbiased (AU) test (Shimodaira 2002) to compare a small set of potential root placements, rejecting some alternative root placements in favor of the ML root placemen…”
MethodNeuromuscular organization of the Ctenophore Pleurobrachia bachei
Norekian, T. P., & Moroz, L. L. (2018) · The Journal of Comparative Neurology · doi:10.1002/cne.24546 · Cited by 52 · see citing works
“…muscles in ctenophores is congruent with any outcome of the ongoing discussion about the Ctenophora-sister (Arcila et al., 2017; Shen et al., 2017; Whelan et al., 2015b; Whelan et al., 2017) vs. Porifera-sister (Feuda et al., 2017; Pisani et al., 2015; Simion et al., 2017) phylogenetic hypotheses.”
BackgroundSelf-citationPresnell, J. S., Vandepas, L. E., Warren, K. J., Swalla, B. J., Amemiya, C. T., & Browne, W. E. (2016) · Current Biology · doi:10.1016/j.cub.2016.08.019 · Cited by 51 · see citing works
Oxygen and the Energetic Requirements of the First Multicellular Animals
Leys, S. P., & KAHN, A. S. (2018) · Integrative and Comparative Biology · doi:10.1093/icb/icy051 · Cited by 46 · see citing works
“about which group of animals—ctenophores or sponges—arose first (Dunn et al. 2008; Philippe et al. 2009; Nosenko et al. 2013; Ryan et al. 2013; Moroz et al. 2014; Whelan et al. 2015; Feuda et al. 2017).”
BackgroundA reconstruction of sexual modes throughout animal evolution
Sasson, D. A., & Ryan, J. F. (2017) · BMC Evolutionary Biology · doi:10.1186/s12862-017-1071-3 · Cited by 54 · see citing works
Getting Nervous: An Evolutionary Overhaul for Communication
Varoqueaux, F., & Fasshauer, D. (2017) · Annual Review of Genetics · doi:10.1146/annurev-genet-120116-024648 · Cited by 47 · see citing works
How and Why to Build a Unified Tree of Life
McTavish, E. J., Drew, B. T., Redelings, B., & Cranston, K. (2017) · BioEssays · doi:10.1002/bies.201700114 · Cited by 49 · see citing works
Evolution of Animal Neural Systems
Liebeskind, B. J., Hofmann, H. A., Hillis, D. M., & Zakon, H. H. (2017) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev-ecolsys-110316-023048 · Cited by 52 · see citing works
Zhao, L., Li, X., Zhang, N., Zhang, S., Yi, T., Mā, H., Guo, Z., & Li, D.-Z. (2016) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2016.06.007 · Cited by 52 · see citing works
“, 2013; Simmons, 2014), LBA (anomaly zone) (He et al., 2016; Linkem et al., 2016; Whelan et al., 2015), substitution saturation (fast evolution sites) (Chiari et al.”
BackgroundInfluentialHernandez, A. M., & Ryan, J. F. (2019) · doi:10.1101/729103 · Cited by 52 · see citing works
Moroz, L. L., Romanova, D. Y., Nikitin, M. A., Sohn, D., Kohn, A. B., Neveu, É., Varoqueaux, F., & Fasshauer, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-69851-w · Cited by 51 · see citing works
Self-citationA Screen for Gene Paralogies Delineating Evolutionary Branching Order of Early Metazoa
Erives, A., & Fritzsch, B. (2020) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.119.400951 · Cited by 49 · see citing works
Prasanna, A. N., Gerber, D., Kijpornyongpan, T., Aime, M. C., Doyle, V. P., & Nagy, L. G. (2019) · Systematic Biology · doi:10.1093/sysbio/syz029 · Cited by 45 · see citing works
“poor model fit, biased taxon or gene sampling, orthology inference) (Dunn et al. 2008; Hejnol et al. 2009; Simon et al. 2012; Misof et al. 2013; Dell’Ampio et al. 2014; Lanfear et al. 2014; Yang and Smith 2014; Chen et al. 2015; Pisani et al. 2015; Smith et al. 2015; Whelan et al. 2015; Hosner et al. 2016), both of wh…”
BackgroundNew insights into the physiology and pathophysiology of the atypical sodium leak channel NALCN
Monteil, A., Guérineau, N. C., Gil‐Nagel, A., Parra‐Díaz, P., Lory, P., & Senatore, A. (2023) · Physiological Reviews · doi:10.1152/physrev.00014.2022 · Cited by 48 · see citing works
Phylogenomic analyses recover a clade of large-bodied decapodiform cephalopods
Anderson, F. E., & Lindgren, A. R. (2020) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2020.107038 · Cited by 49 · see citing works
Endosymbiont genomes yield clues of tubeworm success
Li, Y.-N., Liles, M., & Halanych, K. (2018) · The ISME Journal · doi:10.1038/s41396-018-0220-z · Cited by 41 · see citing works
“Resulting OG clusters were then filtered from each bacterial genome following modified bioinformatics pipelines of [5, 40].”
MethodSelf-citationEdiacaran origin and Ediacaran-Cambrian diversification of Metazoa
Carlisle, E. M., Yin, Z., Pisani, D., & Donoghue, P. C. J. (2024) · Science Advances · doi:10.1126/sciadv.adp7161 · Cited by 54 · see citing works
“The trees represent alternative resolutions for the root of Metazoa, placing either Ctenophora (comb jellies) ( 128–132 ) or Porifera (sponges) ( 127 , 133–138 ) as the sister of all other animals.”
Li, Y., Kocot, K. M., Whelan, N. V., Santos, S. R., Waits, D. S., Thornhill, D. J., & Halanych, K. M. (2016) · Zoologica Scripta · doi:10.1111/zsc.12201 · Cited by 43 · see citing works
“The ability to utilize genome-scale data for phylogenetic analyses, or ‘phylogenomics’, has significantly improved our understanding of metazoan evolution (Delsuc et al. 2005; Matus et al. 2006; Dunn et al. 2008; Kocot et al. 2011; Bond et al. 2014; Misof et al. 2014; Weigert et al. 2014; Whelan et al. 2015).”
BackgroundMethodInfluentialSelf-citationThe promise and pitfalls of synteny in phylogenomics
Steenwyk, J. L., & King, N. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002632 · Cited by 48 · see citing works
- Authors
- Whelan, N. V., Kocot, K. M., Moroz, L. L., & Halanych, K. M.
- Affiliations
- Auburn University (US)
- The University of Queensland (AU)
- University of Florida (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-04-20
- Volume
- 112
- Issue
- 18
- Pages
- 5773-5778
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4426464
- OpenAlex
- W2001496905
- Cited by
- 331
- References
- 60
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 22 · 2023: 21 · 2022: 24 · 2021: 26 · 2020: 26 · 2019: 40 · 2018: 40 · 2017: 42 · 2016: 42 · 2015: 24
- FWCI
- 37.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Aeronautics and Space Administration (NASA-NNX13AJ31G)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Marine Invertebrate Physiology and Ecology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protist diversity and phylogeny
- Keywords
- Ctenophora, animal phylogeny, sponges, systematic errors, long-branch attraction, compositional heterogeneity, ribosomal protein genes, orthology inference, transcriptome, gene tree discordance
- MeSH terms
- Algorithms, Animals, Bayes Theorem, Cnidaria, Biological Evolution, Phylogeny, Porifera, Ribosomal Proteins, Likelihood Functions, Genome, Cell Lineage, Genomics, Databases, Genetic, Ctenophora, Transcriptome
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