Cited by 69Genomics and Phylogenetic StudiesEvolution and Genetic DynamicsChromosomal and Genetic Variations

Bayesian Detection of Convergent Rate Changes of Conserved Noncoding Elements on Phylogenetic Trees

Open access
Hu, Zhirui, Sackton, Timothy B, Edwards, Scott V, Liu, Jun S·2019·Molecular Biology and Evolution

Published version of a preprint

Abstract

Conservation of DNA sequence over evolutionary time is a strong indicator of function, and gain or loss of sequence conservation can be used to infer changes in function across a phylogeny. Changes in evolutionary rates on particular lineages in a phylogeny can indicate shared functional shifts, and thus can be used to detect genomic correlates of phenotypic convergence. However, existing methods do not allow easy detection of patterns of rate variation, which causes challenges for detecting convergent rate shifts or other complex evolutionary scenarios. Here we introduce PhyloAcc, a new Bayesian method to model substitution rate changes in conserved elements across a phylogeny. The method assumes several categories of substitution rate for each branch on the phylogenetic tree, estimates substitution rates per category, and detects changes of substitution rate as the posterior probability of a category switch. Simulations show that PhyloAcc can detect genomic regions with rate shifts in multiple target species better than previous methods and has a higher accuracy of reconstructing complex patterns of substitution rate changes than prevalent Bayesian relaxed clock models. We demonstrate the utility of PhyloAcc in two classic examples of convergent phenotypes: loss of flight in birds and the transition to marine life in mammals. In each case, our approach reveals numerous examples of conserved nonexonic elements with accelerations specific to the phenotypically convergent lineages. Our method is widely applicable to any set of conserved elements where multiple rate changes are expected on a phylogeny.

AI snapshot

Written from the paper’s full text.

TL;DR

PhyloAcc is a Bayesian phylogenetic method that models substitution rate changes in conserved noncoding elements and uses Bayes factors to detect convergent accelerations on target lineages. It outperformed existing methods in simulations and identified hundreds to thousands of lineage-specific accelerated CNEEs in flightless birds and marine mammals.

Key findings

  • In simulations, PhyloAcc detected target-specific accelerated elements better than phyloP, PAML+Wilcoxon, and PAML+phylANOVA; at 5% FDR it identified almost all target-specific accelerated elements across cases, whereas other methods identified only a small number.
  • PhyloAcc recovered complex rate-shift patterns with accuracy above 60% in all simulated cases, where the accelerated-to-conserved rate ratio was typically around 5–10, and outperformed BEAST2 in cases with multiple independent rate shifts or shifts on short branches.
  • In avian data, from 284,001 CNEEs, PhyloAcc identified 786 ratite-specific accelerated CNEEs (log-BF1 > 20 and log-BF2 > 0); 80% had posterior median accelerated rate >1, and among these 54 (7%) had three or more expected independent accelerations, 175 (22%) had 2–3, and 480 (61%) had 1–2.
  • In mammalian data, from 283,369 CNEEs, PhyloAcc identified 2,106 marine-accelerated elements versus 1,472 control-accelerated elements (log-BF1 > 5 and log-BF2 > 5); 696 (33%) marine-accelerated elements showed acceleration in three or more target lineages versus 374 (25%) controls, and 93 (4.4%) showed more than two independent accelerations versus 33 (2.2%) controls.

Methods

  • PhyloAcc uses a hierarchical Bayesian phylogenetic model with latent conservation states per branch (background, conserved, accelerated), Dollo’s irreversible transitions, Gamma priors on substitution rates, and MCMC via collapsed Gibbs sampling and adaptive Metropolis–Hastings; Bayes factors compare null (M0), lineage-specific (M1), and full (M2) models.
  • Simulations used an avian topology with 500 elements for cases 2–9 and 5,000 elements for case 1 at lengths 200, 100, and 400 bp, and a 62-mammal topology with 500 elements (200 bp each) per case; comparisons included phyloP, PAML+Wilcoxon, PAML+phylANOVA, and BEAST2.
  • Real data analyses used 284,001 avian CNEEs from a 42-species alignment plus moa, and 283,369 mammalian CNEEs from the UCSC 100-way alignment filtered to 62 mammals; functional enrichment used GREAT.

Limitations

  • The paper states that the current implementation assumes the same substitution rate for all accelerated branches, that Dollo’s irreversibility allows at most two shifts per lineage and may miss regain of conservation after ancient adaptation, and that the background rate is assumed constant across the genome despite likely local rate variation.
  • The paper also states that it does not address heterogeneity in gene tree topologies, that misspecifying the phylogenetic tree can misestimate substitution rates, and that the method does not distinguish among mutation, selection, and GC-biased gene conversion, though an extended version can decouple gBGC.
  • The text makes evident that accuracy is limited by posterior uncertainty on short branches and depends on the rate ratio and branch length; phyloP was best in the ostrich-only acceleration case, and PhyloAcc’s advantage was less consistent under some phyloP branch specifications.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1093/molbev/msz049

Cites

88 of 88 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

47 of 69 cited sources checked · 21 supported · 3 flagged · accuracy not yet measured

  • Premisecitation

    Convergent rate changes can arise via consistent shifts in substitution rate in genomic regions influencing particular phenotypic targets of natural selection.

    “Convergence at the molecular level can arise because of identical substitutions, and convergent rate changes can arise via consistent shifts in substitution rate in genomic regions influencing particular phenotypic targets of natural selection”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Chikina et al. 2016 source
    • cites Partha et al. 2017 source
    • cites Muntané et al. 2018 source

      The Introduction (Fig. 1; page unavailable) describes testing whether gene-specific rates of protein evolution coevolve with life-history traits, and the Discussion (Limitations of the Present Study; page unavailable) describes consistent changes in protein evolution alongside changes in those traits. These passages support the idea of consistent rate–phenotype relationships, but they do not establish that natural selection on particular phenotypic targets caused the rate shifts. (LLM, conf=0.80)

      Experimental — accuracy not yet measured
  • Premisecitation

    To our knowledge, the only model-based method for associating molecular rate changes with discrete phenotypes and which considers multiple patterns of rate/character transitions is TraitRate.

    “To our knowledge, the only model-based method for associating molecular rate changes with discrete phenotypes and which considers multiple patterns of rate/character transitions is TraitRate (Mayrose and Otto 2011; Levy Karin et al. 2017).”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Mayrose and Otto 2011 source

      The Combined Character and Sequence Model and Likelihood Computations sections describe a likelihood method linking molecular rates to discrete character states while sampling multiple plausible character-transition histories. Implementation and Availability identifies its software as traitRate. The paper does not establish that TraitRate was the only such method when the citing sentence was written. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
    • cites Levy Karin et al. 2017 source
  • Premisecitation

    Existing relaxed clock methods are not easily scalable to genome-wide data such as is typically encountered when testing for rate changes in conserved elements across a clade for which whole-genomes have been sequenced.

    “Moreover, although highly accurate and useful for validating various clock models, these methods are not easily scalable to genome-wide data such as is typically encountered when testing for rate changes in conserved elements across a clade for which whole-genomes have been sequenced”
    Quote in the paperSubstantial claim3 of 3 sources checked
    • cites McLean et al. 2011 source

      The Methods Summary describes a genome-wide search for conserved sequences and human-specific deletions, but does not assess relaxed-clock methods or their scalability. Searches for relaxed-clock scalability and rate-change testing across a clade found no passage addressing that claim. The indexed passages provide no page numbers. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
    • cites Booker et al. 2016 source

      The Computational analyses section describes testing conserved elements for accelerated evolution with PhyloP using genome-wide alignments. It does not assess relaxed-clock methods or say whether they scale to genome-wide data; searches for relaxed-clock scalability and clock-model limitations found no such passage in our copy. (LLM, conf=0.75)

      Experimental — accuracy not yet measured
    • cites Holloway et al. 2016 source

      The Introduction describes genome-wide testing for evolutionary rate changes, and Comparative Genomics Methods describes the paper’s internal-branch test (page numbers unavailable). Neither passage assesses whether existing relaxed-clock methods scale to genome-wide data. Searches for relaxed-clock scalability and computational cost found no passage addressing that point. (LLM, conf=0.72)

      Experimental — accuracy not yet measured
  • Premisecitation

    Changes in conservation of conserved noncoding or nonexonic elements in a subset of lineages are often associated with altered regulatory activity and ultimately phenotypic divergence.

    “Changes in conservation of elements, such as conserved noncoding or nonexonic elements, in a subset of lineages are often associated with altered regulatory activity and ultimately phenotypic divergence”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites McLean et al. 2011 source

      The Abstract reports two human-lineage deletions of conserved noncoding enhancers associated with anatomical differences, supporting the proposed link between regulatory change and phenotypic divergence. It does not establish that such changes are often associated with divergence across lineages, and it cautions that the enhancer losses might have followed other genetic changes rather than caused the anatomical differences. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
    • cites Booker et al. 2016 source

      The Introduction (page unavailable) reports differential enhancer activity in some accelerated noncoding regions, and the Discussion (page unavailable) reports differential activity for bat BAR116. But the paper says these regulatory changes could possibly contribute to species-specific phenotypes; it does not establish the claimed progression to phenotypic divergence as a general outcome. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Findingown data

    Marine-accelerated CNEEs are predicted to regulate genes related to nervous and immune system, including protein polyglutamylation, cerebellum morphogenesis, complement activation, and hindbrain morphogenesis.

    “marine-accelerated CNEEs are predicted to regulate genes related to nervous and immune system including protein polyglutamylation, cerebellum morphogenesis, complement activation, and hindbrain morphogenesis”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites McLean et al. 2010 source

      The Results passages discuss GREAT analyses of mouse limb, forebrain, and midbrain p300-bound regions, not marine-accelerated CNEEs. Searches for marine-accelerated elements and the four named biological processes found no passage in our copy reporting the claimed predictions. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
  • May combine two claims. 44
  • Classified as probably not a substantial claim. 37
  • The quote only partly states this claim. 1
  • Borderline: one of the tests for a substantial claim is unclear. 1
  • May combine two claims.

    Premisecitation

    TraitRate only estimates the likelihood ratio indicating the association between sequence evolution and a given trait; it does not model the pattern of shifts in substitution rate explicitly.

    “Additionally, TraitRate only estimates the likelihood ratio indicating the association between sequence evolution and a given trait; it does not model the pattern of shifts in substitution rate explicitly.”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Mayrose and Otto 2011 source

      The Introduction (page not provided) describes an explicit model in which evolutionary rates depend on a lineage’s trait state over time. The Combined Character and Sequence Model and Likelihood Computations sections (pages not provided) specify a relative substitution-rate parameter and model rate shifts along branches. The paper also uses a likelihood-ratio test, but does not only estimate that ratio. (LLM, conf=0.90)

      Checked by a reasoning model — may be wrong.

      Experimental — accuracy not yet measured
    • cites Levy Karin et al. 2017 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The Forward Genomics method tests the significance of the Pearson correlation between normalized substitutions and hypothetical phenotypic states on each branch.

    “The “Forward Genomics” method (Hiller et al. 2012; Prudent et al. 2016) tests the significance of the Pearson correlation between normalized substitutions and hypothetical phenotypic states on each branch.”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Hiller et al. 2012 source

      The Experimental Procedures section (“Screening for conserved regions that evolve faster in species lacking a trait”; page unavailable) describes a different test: it compares percent identity between trait-loss and trait-preserving species and counts species that violate a 1% separation. It does not describe testing a Pearson correlation between branch-level normalized substitutions and hypothetical phenotypic states. (LLM, conf=0.88)

      Checked by a reasoning model — may be wrong.

      Experimental — accuracy not yet measured
    • cites Prudent et al. 2016 source
  • May combine two claims.

    Premisecitation

    Marcovitz et al. (2016) used parsimony to reconstruct traits and genome transitions and estimate their correlations, but were unable to account for the uncertainty of conservation pattern estimated from the sequencing data or the probability of a chance match between sequence evolutionary history and phenotype.

    “For example, Marcovitz et al. (2016) used parsimony to reconstruct traits and genome transitions and estimate their correlations, but in doing so were unable to account for the uncertainty of conservation pattern estimated from the sequencing data or the probability of a chance match between sequence evolutionary history and phenotype.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Marcovitz et al. 2016 source

      Split into 2 atoms — 1 confirmed, 0 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 measured
  • Probably not a substantial claim: may not pass S2 (checkable).

    Premisecitation

    We generally do not have a robust understanding of the genomic changes underlying phenotypic convergence.

    “However, we generally do not have a robust understanding of the genomic changes underlying phenotypic convergence”
    Quote in the paperNot a substantial claim1 of 2 sources checked
    • cites Wray 2013 source
    • cites Rosenblum et al. 2014 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Booker et al. discovered 166 bat-accelerated regions overlapping with enhancers in developing mouse limbs, including one that likely regulated expression of the HoxD cluster important for forelimb development.

    “Booker et al. (2016) discovered 166 bat-accelerated regions overlapping with enhancers in developing mouse limbs, including one that likely regulated expression of the HoxD cluster important for forelimb development.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Booker et al. (2016) source

      The Abstract reports 166 bat-accelerated regions overlapping H3K27ac and p300 peaks in developing mouse limbs, but does not establish that all 166 overlap confirmed enhancers. It also reports that BAR116 has forelimb enhancer activity and could be involved in regulating the bat HoxD complex; “likely regulated” is stronger than that conclusion. The indexed passages provide section labels but no page numbers. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim.

    Premisecitation

    Phenotypic convergence is generally believed to be a strong signature of natural selection.

    “Phenotypic convergence, in which the same function or morphology evolves multiple times independently, often due to adaption to similar environmental changes, is generally believed to be a strong signature of natural selection”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Kishida et al. 2007 source

      The paper’s introduction (p. 428) and results discuss olfactory-receptor gene loss in marine vertebrates. Searches for phenotypic convergence and natural selection found no passage in our copy stating that convergence is generally considered a strong signature of natural selection. (LLM, conf=0.72)

      Experimental — accuracy not yet measured
    • cites Brawand et al. 2008 source

      The Results/Discussion section on functional and disabled monotreme VIT genes reports purifying selection on a platypus gene, not phenotypic convergence. Searches for phenotypic convergence and independently evolved adaptations found no passage in our copy saying that convergence is generally a strong signature of natural selection. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
    • cites Stern 2013 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Holloway et al. identified 4,797 regions accelerated at the base of therian mammals, many of which are noncoding and located close to developmental transcription factors.

    “Holloway et al. (2016) identified 4,797 regions accelerated at the base of therian mammals, many of which are noncoding and located close to developmental transcription factors.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Holloway et al. (2016) source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Kostka et al. discovered similar lineage-specific accelerated regions near developmental genes in all five apes.

    “Kostka et al. (2018) discovered similar lineage-specific accelerated regions near developmental genes in all five apes.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Kostka et al. (2018) source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Numerous studies have used changes in sequence conservation of conserved elements to identify regulatory regions that may be important for lineage-specific phenotypes.

    “Numerous studies have used changes in sequence conservation of conserved elements as means to identify regulatory regions which may be of particular importance for lineage-specific phenotypes.”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites Pollard et al. (2006) source
    • cites Kostka et al. (2018) source
    • cites Holloway et al. (2016) source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Convergence at the molecular level can arise because of identical substitutions.

    “Convergence at the molecular level can arise because of identical substitutions, and convergent rate changes can arise via consistent shifts in substitution rate in genomic regions influencing particular phenotypic targets of natural selection”
    Quote in the paperNot a substantial claim2 of 3 sources checked
    • cites Chikina et al. 2016 source
    • cites Partha et al. 2017 source
    • cites Muntané et al. 2018 source
  • May combine two claims.

    Premisecitation

    Coevol jointly models parameters of substitution process and continuous phenotypes as a multivariate Brownian process and outputs the posterior distribution of the correlation between phenotypes and substitution parameters, but does not allow for discrete phenotypes.

    “Coevol (Lartillot and Poujol 2011) jointly models parameters of substitution process (e.g., substitution rates) and continuous phenotypes as a multivariate Brownian process and outputs the posterior distribution of the correlation between phenotypes and substitution parameters, but does not allow for discrete phenotypes.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Lartillot and Poujol 2011 source
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationcitation

    The model permits independent gain and loss of conservation on multiple lineages and encourages nearby branches to have the same state and substitution rate, which is reasonable for closely related species and branches in a phylogeny.

    “Such a model permits independent gain and loss of conservation on multiple lineages and also encourages nearby branches to have the same state and substitution rate, which is reasonable for closely related species and branches in a phylogeny and is also a common assumption in phylogenetics”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Thorne et al. 1998 source

      The Hierarchical Model of Rate Evolution section allows rates to differ among branches and models autocorrelation between ancestral and descendant branch rates. It does not model conservation states or independent gains and losses of conservation. The Discussion and Conclusions section also says widely used phylogeny-reconstruction methods ignore the potential information from rate autocorrelation, rather than establishing it as a common assumption. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites Rannala and Yang 2007 source
    • The authors state this as an assumption: The substitution rate of a given branch is expected to correlate with that of its parent branch.
    • The authors state this as an assumption: For each element, a limited number of rate categories occur on the phylogeny.
  • May combine two claims.

    Premisecitation

    TraitRate models the probability of rate shifts along a fixed ultrametric tree, an approach that was shown to deteriorate the performance in practice.

    “This method models the probability of rate shifts along a fixed ultrametric tree, an approach that was shown to deteriorate the performance in practice (Mayrose and Otto 2011).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Mayrose and Otto 2011 source

      Likelihood Computations describes mapping character histories onto an input clocklike tree, while also allowing calculations across multiple plausible ultrametric trees; the tree need not be fixed. Phylogenetic Uncertainty reports reduced power in simulations when inferred gene trees were inaccurately ultrametricized. It does not show that using a fixed ultrametric tree generally deteriorates performance in practice. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim.

    Premisecitation

    Several existing relaxed clock models explicitly model substitution rate variation across phylogeny.

    “Several existing relaxed clock models (Drummond and Suchard 2010; Heath et al. 2012) explicitly model substitution rate variation across phylogeny.”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites Drummond and Suchard 2010 source
    • cites Heath et al. 2012 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Pollard et al. identified 202 regions accelerated in the human genome but conserved in other vertebrates, some of which are RNA genes and tissue-specific enhancers.

    “For example, Pollard et al. (2006) identified 202 regions accelerated in the human genome but conserved in other vertebrates, some of which are RNA genes and tissue-specific enhancers.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Pollard et al. (2006) source

      The Results section, “Human Acceleration in Predicted Functional Elements” (page unavailable), reports 202 regions conserved across vertebrates but accelerated in humans. The Discussion identifies HAR1 as a structural RNA expressed during neocortical development. The paper suggests possible transcriptional regulatory roles for other regions but does not establish that any of the 202 are tissue-specific enhancers. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Recent phylogenetic work supports the conclusion that the ratites are paraphyletic, implying convergent loss of flight in these lineages.

    “Recent phylogenetic work supports the conclusion that the ratites (including ostrich, emu, cassowaries, kiwis, rheas, and the extinct moas and elephant bird) are paraphyletic, implying convergent loss of flight in these lineages”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites Harshman et al. 2008 source

      The Results and Discussion place flighted tinamous within the flightless ratites and infer at least three independent losses of flight, supporting the claim’s central evolutionary point. The paper explicitly calls ratites “polyphyletic,” not “paraphyletic,” and its stated minimum of three losses concerns ostriches, rheas, and Australasian ratites rather than establishing separate losses for the extinct moas and elephant birds. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites Baker et al. 2014 source
    • cites Mitchell et al. 2014 source
  • Classified as probably not a substantial claim.

    Premisecitation

    Regions of the genome outside protein-coding genes exhibit considerable levels of conservation across evolutionary time.

    “One of the major revelations of comparative genomics has been the discovery of regions of the genome falling well outside protein-coding genes that nonetheless exhibit considerable levels of conservation across evolutionary time”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Bejerano et al. 2004 source
    • cites Siepel et al. 2005 source
    • cites Woolfe et al. 2005 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Chikina et al. quantified the difference of relative substitution rates between terrestrial and marine branches using a nonparametric test (Wilcoxon rank sum test); the same approach has been extended to noncoding regions.

    “Chikina et al. (2016), studying protein-coding genes with convergent substitution rate shifts in marine mammals, quantified the difference of relative substitution rates between “terrestrial” and “marine” branches using a nonparametric test (Wilcoxon rank sum test); the same approach has subsequently been extended to noncoding regions (Partha et al. 2017).”
    Quote in the paperNot a substantial claim1 of 2 sources checked
    • cites Chikina et al. 2016 source
    • cites Partha et al. 2017 source
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    The random local clock model implemented in BEAST assumes an indicator variable for rate change at each node, enumerates all possible local clock configurations, and estimates the location and magnitude of rate changes between local clock regions on the phylogeny.

    “The random local clock model implemented in BEAST (Drummond and Suchard 2010) assumes an indicator variable for rate change at each node, enumerating all possible local clock configurations, and estimates the location and magnitude of rate changes between local clock regions on the phylogeny.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Drummond and Suchard 2010 source

      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 measured
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    GC-biased gene conversion (gBGC) is one of the factors that can increase local substitution rates across the genome and is often a confounding factor for the detection of adaptive evolution.

    “GC-biased gene conversion (gBGC) is one of the factors that can increase local substitution rates across the genome and is often a confounding factor for the detection of adaptive evolution (Duret and Galtier 2009; Kostka et al. 2012; Capra et al. 2013).”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Duret and Galtier 2009 source
    • cites Kostka et al. 2012 source
    • cites Capra et al. 2013 source

      The Results (Probabilistic Model; no page given) state that gBGC increases W→S substitution rates, supporting the local-rate claim. The Results (Overlap with Fast-Evolving Sequences; no page given) report overlap between gBGC tracts and some genes identified as showing signatures of positive selection. This supports a potential confounding effect, but does not establish that gBGC often confounds the detection of adaptive evolution. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Heterogeneity in the topology of gene trees is expected to occur, especially during rapid radiations.

    “Heterogeneity in the topology of gene trees is expected to occur, especially during rapid radiations (Edwards 2009).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Edwards 2009 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Bayesian multispecies coalescent models like *BEAST and starBEAST2 consider gene tree variations and can give more accurate estimate of per-species substitution rates.

    “Bayesian multispecies coalescent models like *BEAST and starBEAST2 consider gene tree variations and can give more accurate estimate of per-species substitution rates (Heled and Drummond 2010; Ogilvie et al. 2017).”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Heled and Drummond 2010 source

      The Introduction and Comparison with BEST section say that *BEAST jointly estimates multiple gene trees under a multispecies coalescent model, supporting the gene-tree-variation part of the claim. In Results, “Estimation of Relative Substitution Rates for Different Loci” reports estimates of rates across loci, not more accurate estimates of per-species substitution rates. This source describes *BEAST; it does not assess starBEAST2. (LLM, conf=0.90)

      Experimental — accuracy not yet measured
    • cites Ogilvie et al. 2017 source

      The Introduction identifies *BEAST and StarBEAST2 as Bayesian multispecies coalescent methods, and the Conclusions say StarBEAST2’s new species-tree relaxed clock enables accurate inference of per-species branch rates despite incomplete lineage sorting. But the Species Tree Relaxed Clocks section says *BEAST’s gene-tree relaxed clocks do not produce species-branch-rate estimates. The claim therefore overextends the rate-estimation finding to *BEAST. Page numbers are not available in our copy. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationcitation

    Our model is more specific in its goals than those implemented in more general phylogenetic packages.

    “Without doubt, our model is more specific in its goals than those implemented in more general phylogenetic packages (Drummond et al. 2006; Drummond and Suchard 2010; Heath et al. 2012; Ogilvie et al. 2017).”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites Drummond et al. 2006 source
    • cites Drummond and Suchard 2010 source
    • cites Heath et al. 2012 source

      The DPP on Branch Rates section identifies a phylogenetic model implemented in the C++ program DPPDiv, so the paper supports the citation as an example of another implemented model. It does not establish that DPPDiv is a general phylogenetic package; that description is not supported for this citation. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Misspecifying the phylogenetic tree can lead to misestimation of substitution rates on gene trees.

    “Misspecifying the phylogenetic tree can lead to misestimation of substitution rates on gene trees (Angelis and dos Reis 2015; Hahn and Nakhleh 2016; Mendes and Hahn 2016).”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Angelis and dos Reis 2015 source
    • cites Hahn and Nakhleh 2016 source
    • cites Mendes and Hahn 2016 source
  • May combine two claims.

    Findingown data

    Both PhyloAcc and phyloP perform better with longer sequences, and PhyloAcc is better for all lengths in most cases.

    “Both methods perform better with longer sequences and PhyloAcc is better for all lengths in most cases.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    phyloP performs similarly or better than PAML+Wilcoxon and PAML+phylANOVA.

    “Because phyloP performs similarly or better than PAML+Wilcoxon and PAML+phylANOVA, we mainly focus on comparisons with phyloP”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingnone given

    In practice, most branches in the accelerated state have estimated values of ri2 > 1, with only a small percentage having values < 1.

    “In practice, most branches in the accelerated state do indeed have estimated values of ri2> 1, with only a small percentage having values < 1.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: For any element, most branches are in the conserved state.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The average proportion of nucleotide differences per element between pairs of species varies from 0.06 in case 1 to 0.13 in case 8.

    “The average proportion of nucleotide differences per element between pairs of species varies from 0.06 (case 1) to 0.13 (case 8).”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Findingown data

    PhyloAcc reveals numerous conserved nonexonic elements with accelerations specific to the phenotypically convergent lineages in loss of flight in birds and transition to marine life in mammals.

    “In each case, our approach reveals numerous examples of conserved nonexonic elements with accelerations specific to the phenotypically convergent lineages.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In additional simulations, PhyloAcc has a lower false positive rate and higher power in identifying elements with a shift in substitution rate within a set of species.

    “In additional simulations (supplementary fig. S5A, Supplementary Material online), we show that our method has a lower false positive rate and a higher power in identifying elements with a shift in substitution rate within a set of species”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In both the loss of flight in birds and transition to marine life in mammals, PhyloAcc identified conserved elements with specific patterns of convergent rate shifts associated with the target phenotype, revealing novel putative regulatory regions that may be repeatedly associated with these evolutionary transitions.

    “In both cases, we use genome-wide data from hundreds of thousands of conserved elements to identify those elements with specific patterns of convergent rate shifts associated with our target phenotype, revealing novel, putative regulatory regions that may be repeatedly associated with these evolutionary transitions.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In simulations mixing accelerated elements with nonaccelerated elements, PhyloAcc consistently performed best at detecting elements accelerated among ratites based on BF1, except in the ostrich-accelerated case (case 3), where phyloP was best.

    “PhyloAcc consistently performed the best (except for the ostrich-accelerated case [case 3], in which phyloP is the best) at detecting elements accelerated among ratites based on BF1”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    With the second choice of accelerated branches (all subtrees within target lineages inferred by parsimony), phyloP and PhyloAcc have comparable performances, and phyloP is only better for shorter sequences in some cases.

    “With the second choice of accelerated branches, phyloP and PhyloAcc have comparable performances and phyloP is only better for shorter sequence in some cases”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    BEAST2 has comparable accuracy when no clade or a large clade is accelerated, but performs worse than PhyloAcc in cases with multiple independent rate shifts (e.g., cases 7 and 9) or with rate shifts on short branches (e.g., case 2).

    “BEAST2 has a comparable accuracy when no clade or a large clade is accelerated, but performs worse than PhyloAcc in cases with multiple independent rate shifts (e.g., cases 7 and 9) or with rate shifts on short branches (e.g., case 2).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Marine-accelerated CNEEs show acceleration in only a small number of nontargeted species, and fewer than control-accelerated CNEEs.

    “We observed acceleration in only a small number of nontargeted species for marine-accelerated CNEEs and fewer than that in control-accelerated CNEEs”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    PhyloAcc can identify both elements 1 and 2 as ratite-accelerated elements, indicated by large log-BF1, but can exclude element 3 because it has a negative log-BF2.

    “In contrast, PhyloAcc can identify both elements 1 and 2 as ratite-accelerated elements, indicted by large log-BF1, but can also exclude element 3 because it has a negative log-BF2.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    For PhyloAcc, BF1 increases with the rate ratio, and BF2 stays below zero and decreases as r2/r1 grows in cases 8 and 9.

    “In accordance with accuracy, for PhyloAcc, BF1 also increases with the rate ratio, and BF2 stays below zero and decreases as r2/r1 grows in cases 8 and 9”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Among the 786 ratite-specific accelerated CNEEs, the rhea clade is the most likely lineage to be accelerated, followed by kiwis, with the ostrich branch less likely accelerated among all ratites.

    “The rhea clade is the most likely lineage to be accelerated among the 786 ratite-specific accelerated CNEEs, followed by kiwis, with the ostrich branch less likely accelerated among all ratites”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Among CNEEs with strong signals of acceleration in ratites indicated by very large Bayes factors (BF1), many are accelerated in a single clade with one acceleration, whereas some are accelerated in more than one clade.

    “Among CNEEs that show strong signals of acceleration in ratites indicated by very large Bayes factors (BF1), many are accelerated in a single clade with one acceleration (e.g., mCE600387 accelerated only in kiwis, fig. 4B) whereas some are accelerated in more than one clade”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    93 (4.4%) of marine-accelerated elements show more than two independent accelerations compared with 33 (2.2%) for control-accelerated elements.

    “93 (4.4%) of marine-accelerated elements show more than two independent accelerations compared with 33 (2.2%) for control-accelerated elements”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisenone given

    Molecular clock tests are closely linked to tests for associations between rate shifts and specific convergent phenotypes on the tree.

    “Molecular clock tests are closely linked to tests for associations between rate shifts and specific convergent phenotypes on the tree, and several recent methods have been proposed to identify these associations.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Premisenone given

    Existing methods do not allow easy detection of patterns of rate variation, which causes challenges for detecting convergent rate shifts or other complex evolutionary scenarios.

    “However, existing methods do not allow easy detection of patterns of rate variation, which causes challenges for detecting convergent rate shifts or other complex evolutionary scenarios.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationreasoning

    Such pooling plays a larger role in cases where only a few branches are accelerated, and/or few substitutions occur per element.

    “Such pooling plays a larger role in cases where only a few branches are accelerated, and/or few substitutions occur per element.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: A Gamma distribution is an appropriate prior for element-wise substitution rates (ri1 and ri2).
    • The authors state this as an assumption: Most elements in the data set likely do not change rate across the tree.
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Statistical tests for rate changes along a phylogeny have been a part of phylogenetic methodology for several decades and are closely tied to tests for a molecular clock.

    “Statistical tests for rate changes along a phylogeny have been a part of phylogenetic methodology for several decades, and are closely tied to tests for a molecular clock”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Huelsenbeck and Crandall 1997 source
    • cites Huelsenbeck and Rannala 1997 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    The model allows a variety of scenarios whose biological interpretation might include partially relaxed constraint or positive selection with a rate greater than background.

    “This allows us to model a variety of scenarios whose biological interpretation might include partially relaxed constraint or positive selection with a rate greater than background.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: For each element, a limited number of rate categories occur on the phylogeny.
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    PhyloAcc is widely applicable to any set of conserved elements where multiple rate changes are expected on a phylogeny.

    “Our method is widely applicable to any set of conserved elements where multiple rate changes are expected on a phylogeny.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisenone given

    Bayes factors favor the simpler model if both models fit the data equally well.

    “because the Bayes factors favor the simpler model if both models fit the data equally well”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisereasoning

    Existing methods for detecting genomic regions with parallel substitution rate changes are generally limited to testing a single prespecified shift pattern, which is less powerful because many possible shift patterns would be congruent with a correlation with phenotypes of extant species.

    “However, these methods for detecting genomic regions with parallel substitution rate changes are generally limited to testing a single prespecified shift pattern on a phylogeny, which is less powerful because many possible shift patterns would be congruent with a correlation with phenotypes of extant species.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    Noncoding elements play a crucial role in molding morphological diversity across diverse clades.

    “Such studies demonstrate that noncoding elements play a crucial role in molding morphological diversity across diverse clades.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    The posterior distribution of Z indicates where changes of substitution rates occur in the tree, and the posterior ratio of substitution rates for each latent state indicates the magnitude of change.

    “The posterior distribution of Z indicates where changes of substitution rates occur in the tree, and the posterior ratio of substitution rates for each latent state indicates the magnitude of change.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The substitution process follows a standard continuous-time Markov process.
    • The authors state this as an assumption: For each element, a limited number of rate categories occur on the phylogeny.
  • May combine two claims.

    Interpretationnone given

    PhyloAcc does not require predetermination of the history of rate shifts but instead relies on estimating the conservation state of each branch for a given element based on sequences of extant species.

    “PhyloAcc does not require predetermination of the history of rate shifts but instead relies on estimating the conservation state of each branch for a given element based on sequences of extant species.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The substitution process follows a standard continuous-time Markov process.
    • The authors state this as an assumption: The substitution rate of a given branch is expected to correlate with that of its parent branch.
    • The authors state this as an assumption: For each element, a limited number of rate categories occur on the phylogeny.
  • May combine two claims.

    Interpretationown data

    Other methods are not designed to control for acceleration in nontarget lineages, and their test statistics can be even larger in case 8 than in some target-specific accelerated cases.

    “Other methods are not designed to control for this case; indeed the test statistic from phyloP or the two-step methods can be even larger in case 8 than in some target-specific accelerated cases.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisereasoning

    Changes in evolutionary rates on particular lineages in a phylogeny can indicate shared functional shifts and can be used to detect genomic correlates of phenotypic convergence.

    “Changes in evolutionary rates on particular lineages in a phylogeny can indicate shared functional shifts, and thus can be used to detect genomic correlates of phenotypic convergence.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    By adjusting the hyperparameters of the priors, the substitution rate for the accelerated state can be made stochastically higher than that of the conserved state a priori.

    “By adjusting the hyperparameters of the priors, the substitution rate for the accelerated state can be made stochastically higher than that of conserved state a priori.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: A Gamma distribution is an appropriate prior for element-wise substitution rates (ri1 and ri2).
  • May combine two claims.

    Interpretationreasoning

    The resulting output can be used to reconstruct the sequence of shifts in rate, including the number of independent accelerations of a particular element, and quantifies the uncertainty of where in the tree accelerations occur.

    “The resulting output can be used to reconstruct the sequence of shifts in rate, including the number of independent accelerations of a particular element, and quantifies the uncertainty of where in the tree (on which branch) accelerations occur.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The substitution process follows a standard continuous-time Markov process.
    • The authors state this as an assumption: For each element, a limited number of rate categories occur on the phylogeny.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The PHAST method tests a model allowing substitution rates shift in a specified subset of branches against a null model with constant rate for all branches using likelihood ratio.

    “The PHAST method (Hubisz et al. 2011) tests a model allowing substitution rates shift in a specified subset of branches against a null model with constant rate for all branches using likelihood ratio.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Hubisz et al. 2011 source
  • May combine two claims.

    Interpretationcitation

    PhyloAcc outputs the most probable evolutionary pattern of rate shifts as well as its uncertainty for each genomic region.

    “Using Markov chain Monte Carlo (MCMC) (Liu 2001) to sample from the posterior distribution, PhyloAcc outputs the most probable evolutionary pattern of rate shifts as well as its uncertainty for each genomic region.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Liu 2001

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • The authors state this as an assumption: The substitution process follows a standard continuous-time Markov process.
    • The authors state this as an assumption: For each element, a limited number of rate categories occur on the phylogeny.
  • May combine two claims.

    Interpretationreasoning

    Via Dollo's assumption of irreversibility, PhyloAcc allows at most two shifts for each lineage on the phylogeny, which may not be efficient for detecting elements that regain conservation after an ancient episode of adaptation.

    “In addition, via Dollo’s assumption of irreversibility, our model allows at most two shifts for each lineage on the phylogeny, which may not be efficient for detecting elements that regain conservation after an ancient episode of adaptation.”
    Quote in the paperNot a substantial claim
    • The authors state this as an assumption: Conservation states evolve under Dollo’s assumption of irreversibility, so a lineage can shift at most twice.
  • May combine two claims.

    Interpretationreasoning

    As a consequence, BEAST2 tends to misplace the origin of an acceleration at a node deeper than the true node and then infer a regain of conservation in the clade whose rate is unchanged.

    “As a consequence, BEAST2 tends to misplace the origin of an acceleration at a node deeper than the true node and then infer a regain of conservation in the clade whose rate is unchanged.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The conserved rate r1 and accelerated rate r2 used in simulations were sampled from Gamma distributions that approximate the range of conserved and accelerated rates observed in real data.

    “The conserved rate r1 was sampled from Gamma(5,0.04) and the accelerated rate r2 was sampled from Gamma(15,0.1), which are about the range of conserved and accelerated rates observed from real data (supplementary figs. S5C and S12D, Supplementary Material online).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationnone given

    The core utility of PhyloAcc is to detect changes of substitution rate on a tree for many conserved DNA elements, yielding the posterior distribution of substitution rates per conservation state (r1 and r2) for each element on each branch, from which the direction of rate change can be inferred.

    “The core utility of our software PhyloAcc is to detect changes of substitution rate on a tree for many conserved DNA elements, yielding the posterior distribution of substitution rates per conservation state (i.e., r1 and r2) for each element on each branch, from which the direction of rate change can be inferred.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Because scores depend on both magnitude and pattern of acceleration, elements with the same log-likelihood ratios and P-values can have either strong acceleration in a single lineage, multiple independent accelerations, or weak acceleration over an entire clade.

    “As these scores depend on both the magnitude and pattern of acceleration, it is not hard to find elements with the same log-likelihood ratios and P-values having either strong acceleration in a single lineage, multiple independent accelerations or a weak acceleration over an entire clade.”
    Quote in the paperSubstantial claim
  • Borderline on S4 (based): unclear from the text.

    Interpretationnone given

    The likelihood ratio test between constant rate and two-rate models is not appropriate in some extreme cases, such as when only a few branches have many substitutions.

    “The likelihood ratio test between constant rate and two-rate models is not appropriate in some extreme cases, such as when only a few branches have many substitutions.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    As currently implemented, the method is efficiently tailored to the one goal of detecting rate shifts in genome-wide noncoding elements on a phylogenetic tree.

    “As currently implemented, it is efficiently tailored to the one goal of detecting rate shifts in genome-wide noncoding elements on a phylogenetic tree.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The conservation state of short internal branches is easier to determine when more substitutions are observed, which tends to occur when accelerated rates are high.

    “because the conservation state of short internal branches is easier to determine when we observe more substitutions, which will tend to occur when accelerated rates are high.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Another major issue not addressed by our model is the possible heterogeneity in the topologies of gene trees across elements and across the genome.

    “Another major issue not addressed by our model is the possible heterogeneity in the topologies of gene trees across elements and across the genome.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The phylogenetic tree topology is the same for all elements and across the genome (no gene tree heterogeneity).
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    CLIME (Li et al. 2014, 2018) uses a Bayesian approach similar in spirit to our model to cluster phylogenetic profiles of proteins to identify functionally related proteins.

    “For example, a recent method, “CLIME” (Li et al. 2014, 2018), uses a Bayesian approach similar in spirit to our model to cluster phylogenetic profiles of proteins to identify functionally related proteins.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Li et al. 2014, 2018

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationown data

    Many of the enriched functional terms are related to morphological traits, which reveals molecular adaptations overlooked by previous studies that focused primarily on protein-coding genes.

    “Many of the enriched functional terms are related to morphological traits, which reveals molecular adaptations overlooked by previous studies, which focused primarily on protein-coding genes.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation

    PhyloAcc identifies DNA elements exhibiting changes of substitution rate in lineages of interest and determines the branches, leading to either single or multiple lineages, experiencing changes of substitution rate.

    “The method not only identifies DNA elements exhibiting changes of substitution rate in the lineages of interest but also determines the branches, leading to either single or multiple lineages, experiencing changes of substitution rate”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    We do not attempt to distinguish among various processes-different types of mutation, increased mutation rates or natural selection-producing a specific pattern.

    “Although in our examples we focus on loss of conservation accompanied by faster substitution rates, we do not attempt to distinguish among various processes—different types of mutation, increased mutation rates or natural selection—producing a specific pattern.”
    Quote in the paperSubstantial claim
70 of 70
  • The authors state this as an assumption.

    The substitution process follows a standard continuous-time Markov process.

    “We assume that the substitution process follows a standard continuous-time Markov process.”
  • The authors state this as an assumption.

    The substitution rate of a given branch is expected to correlate with that of its parent branch.

    “we use a local clock model where the substitution rate of a given branch is expected to correlate with that of its parent branch, and hence will be informed by more substitutions.”
  • The authors state this as an assumption.

    For each element, a limited number of rate categories occur on the phylogeny.

    “We assume that, for each element, a limited number of rate categories occur on the phylogeny.”
  • The authors state this as an assumption.

    Each element is in either the background or the conserved state at the root of the tree.

    “we start by assuming that each element is in either the background or the conserved state at the root of the tree.”
  • The authors state this as an assumption.

    Dollo’s irreversible evolution hypothesis holds for transitions from conserved to accelerated states.

    “We assume that Dollo’s irreversible evolution hypothesis (Gould 1970) holds for transitions from conserved to accelerated states, so that along each lineage Zis can transit from a background to a conserved state, and then to an accelerated state but not the reverse”
  • The authors state this as an assumption.

    A Gamma distribution is an appropriate prior for element-wise substitution rates (ri1 and ri2).

    “As with many rate models, we assume a Gamma distribution for the priors of element-wise substitution rates (ri1 and ri2).”
  • The authors state this as an assumption.

    For any element, most branches are in the conserved state.

    “Given that our candidate genomic regions (e.g., CNEEs) are mostly conserved, we expect that, for any element, most branches are in the conserved state.”
  • The authors state this as an assumption.

    In all three models, β=0 for branches within outgroups, so outgroup species cannot be in an accelerated state.

    “In our applications, we assume β=0 for branches within outgroups in all three models such that all outgroup species cannot be in an accelerated state.”
  • The paper relies on this without support.

    Conserved regulatory elements are often short, ranging from a few base pairs to several thousand.

    “These regulatory elements are often quite short, ranging from a few base pairs to several thousand, and hence may require sensitive tools to detect branches of the tree with different substitution rates.”
  • The authors state this as an assumption.

    Most elements in the data set likely do not change rate across the tree.

    “The hyperparameters of the priors are estimated by the sequence data from all elements in the data set, most of which will likely not change rate across the tree”
  • The authors state this as an assumption.

    The input phylogenetic tree branch lengths represent the expected number of substitutions along each branch averaged across the genome.

    “We take as input a phylogenetic tree, with branch lengths representing the expected number of substitutions along each branch averaged across the genome.”
  • The authors state this as an assumption.

    In the current PhyloAcc implementation, the same substitution rate applies to all accelerated branches.

    “In the current implementation, we assume the same substitution rate for all accelerated branches”
  • The authors state this as an assumption.

    Conservation states evolve under Dollo’s assumption of irreversibility, so a lineage can shift at most twice.

    “via Dollo’s assumption of irreversibility, our model allows at most two shifts for each lineage on the phylogeny”
  • The authors state this as an assumption.

    The background substitution rate is constant across the genome in the model.

    “Though the rate of background substitution is constant across the genome in our model”
  • The paper relies on this without support.

    The phylogenetic tree topology is the same for all elements and across the genome (no gene tree heterogeneity).

    “Another major issue not addressed by our model is the possible heterogeneity in the topologies of gene trees across elements and across the genome.”
15 of 15

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.

  • Conflicting number of elements simulated in avian case 1

    Minor

    The avian simulation description says 500 elements were simulated in each of the nine cases, but the Methods section says case 1 contained 5,000 elements.

  • Software description misassigns states to the three models

    Minor

    The software description assigns neutral, conserved, and accelerated states to the null, lineage-specific, and full models, respectively. Earlier, the null model permits both background and conserved states, while the lineage-specific model also permits acceleration on target branches.

2 of 2

Cites

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Sorted by citations

Authors
Hu, Z., Sackton, T. B., Edwards, S. V., & Liu, J. S.
Affiliations
Harvard University (US)
Corresponding author
  • Hu, Zhirui
  • Liu, Jun S
Venue
Molecular Biology and Evolution
Published
2019-03-09
Volume
36
Issue
5
Pages
1086-1100
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2922342766
Cited by
69
References
84
Citations by year
2026: 7 · 2025: 18 · 2024: 10 · 2023: 7 · 2022: 12 · 2021: 5 · 2020: 4 · 2019: 6
FWCI
2.23
Type
journal article
Language
en
Open access
Locations
  • Molecular Biology and Evolution (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation (DEB-1355343, EAR-1355292, DMS-1613035)
  • National Institutes of Health (R01 GM122080)
  • FAS Division of Science
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
Keywords
conserved non-coding elements, phenotypic convergence, relaxed molecular clock
MeSH terms
Animals, Bayes Theorem, Birds, Computer Simulation, Genetic Techniques, Mammals, Models, Genetic, Phylogeny, Software, Evolution, Molecular

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-02.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-02.

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