Cited by 49

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Synteny-Guided Resolution of Gene Trees Clarifies the Functional Impact of Whole-Genome Duplications

Parey, Elise, Louis, Alexandra, Cabau, Cédric, Guiguen, Yann, Roest Crollius, Hugues, Berthelot, Camille·2020·Molecular Biology and Evolution

Published version of a preprint

Abstract

Whole-genome duplications (WGDs) have major impacts on the evolution of species, as they produce new gene copies contributing substantially to adaptation, isolation, phenotypic robustness, and evolvability. They result in large, complex gene families with recurrent gene losses in descendant species that sequence-based phylogenetic methods fail to reconstruct accurately. As a result, orthologs and paralogs are difficult to identify reliably in WGD-descended species, which hinders the exploration of functional consequences of WGDs. Here, we present Synteny-guided CORrection of Paralogies and Orthologies (SCORPiOs), a novel method to reconstruct gene phylogenies in the context of a known WGD event. WGDs generate large duplicated syntenic regions, which SCORPiOs systematically leverages as a complement to sequence evolution to infer the evolutionary history of genes. We applied SCORPiOs to the 320-My-old WGD at the origin of teleost fish. We find that almost one in four teleost gene phylogenies in the Ensembl database (3,394) are inconsistent with their syntenic contexts. For 70% of these gene families (2,387), we were able to propose an improved phylogenetic tree consistent with both the molecular substitution distances and the local syntenic information. We show that these synteny-guided phylogenies are more congruent with the species tree, with sequence evolution and with expected expression conservation patterns than those produced by state-of-the-art methods. Finally, we show that synteny-guided gene trees emphasize contributions of WGD paralogs to evolutionary innovations in the teleost clade.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/molbev/msaa149

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 77

  1. Alföldi, 2013, Comparative genomics as a tool to understand evolution and disease, Genome Res, 23, 1063, 10.1101/gr.157503.113 · DOI
  2. Altenhoff, 2016, Standardized benchmarking in the quest for orthologs, Nat Methods, 13, 425, 10.1038/nmeth.3830 · DOI · Paper page
  3. Altenhoff, 2012, Resolving the ortholog conjecture: orthologs tend to be weakly, but significantly, more similar in function than paralogs, PLoS Comput Biol, 8, e1002514, 10.1371/journal.pcbi.1002514 · DOI · Paper page
  4. Berthelot, 2014, The rainbow trout genome provides novel insights into evolution after whole-genome duplication in vertebrates, Nat Commun, 5, 10, 10.1038/ncomms4657 · DOI
  5. Blomme, 2006, The gain and loss of genes during 600 million years of vertebrate evolution, Genome Biol, 7, R43, 10.1186/gb-2006-7-5-r43 · DOI
  6. Bolstad, 2003, A comparison of normalization methods for high density oligonucleotide array data based on variance and bias, Bioinformatics, 19, 185, 10.1093/bioinformatics/19.2.185 · DOI
  7. Braasch, 2016, The spotted gar genome illuminates vertebrate evolution and facilitates human-teleost comparisons, Nat Genet, 48, 427, 10.1038/ng.3526 · DOI
  8. Bray, 2016, Near-optimal probabilistic RNA-seq quantification, Nat Biotechnol, 34, 525, 10.1038/nbt.3519 · DOI · Paper page
  9. Byrne, 2005, The Yeast Gene Order Browser: combining curated homology and syntenic context reveals gene fate in polyploid species, Genome Res, 15, 1456, 10.1101/gr.3672305 · DOI · Paper page
  10. Catchen, 2009, Automated identification of conserved synteny after whole-genome duplication, Genome Res, 19, 1497, 10.1101/gr.090480.108 · DOI
  11. Chauve, 2013, Models and algorithms for genome evolution. computational biology., 47, 10.1007/978-1-4471-5298-9_4 · DOI
  12. Chen, 2012, The ortholog conjecture is untestable by the current gene ontology but is supported by RNA sequencing data, PLoS Comput Biol, 8, e1002784, 10.1371/journal.pcbi.1002784 · DOI
  13. De Smet, 2013, Convergent gene loss following gene and genome duplications creates single-copy families in flowering plants, Proc Natl Acad Sci U S A, 110, 2898, 10.1073/pnas.1300127110 · DOI
  14. De Smet, 2012, Redundancy and rewiring of genetic networks following genome-wide duplication events, Curr Opin Plant Biol, 15, 168, 10.1016/j.pbi.2012.01.003 · DOI
  15. Durand, 2006, A hybrid micro-macroevolutionary approach to gene tree reconstruction, J Comput Biol, 13, 320, 10.1089/cmb.2006.13.320 · DOI
  16. Engström, 1963, Cone types and cone arrangements in teleost retinae1, Acta Zool, 44, 179, 10.1111/j.1463-6395.1963.tb00408.x · DOI
  17. Force, 1999, Preservation of duplicate genes by complementary, degenerative mutations, Genetics, 151, 1531, 10.1093/genetics/151.4.1531 · DOI · Paper page
  18. Girvan, 2002, Community structure in social and biological networks, Proc Natl Acad Sci U S A, 99, 7821, 10.1073/pnas.122653799 · DOI · Paper page
  19. Gout, 2010, The relationship among gene expression, the evolution of gene dosage, and the rate of protein evolution, PLoS Genet, 6, e1000944, 10.1371/journal.pgen.1000944 · DOI
  20. Guindon, 2010, New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0, Syst Biol, 59, 307, 10.1093/sysbio/syq010 · DOI · Paper page
  21. Guschanski, 2017, The evolution of duplicate gene expression in mammalian organs, Genome Res, 27, 1461, 10.1101/gr.215566.116 · DOI
  22. Hahn, 2009, Distinguishing among evolutionary models for the maintenance of gene duplicates, J Hered, 100, 605, 10.1093/jhered/esp047 · DOI
  23. Herrero, 2016, Ensembl comparative genomics resources, Database, 2016, 10.1093/database/baw053 · DOI
  24. Huminiecki, 2004, Divergence of spatial gene expression profiles following species-specific gene duplications in human and mouse, Genome Res, 14, 1870, 10.1101/gr.2705204 · DOI
  25. Inoue, 2015, Rapid genome reshaping by multiple-gene loss after whole-genome duplication in teleost fish suggested by mathematical modeling, Proc Natl Acad Sci U S A, 112, 14918, 10.1073/pnas.1507669112 · DOI · Paper page
  26. Kassahn, 2009, Evolution of gene function and regulatory control after whole-genome duplication: comparative analyses in vertebrates, Genome Res, 19, 1404, 10.1101/gr.086827.108 · DOI
  27. Kellis, 2004, Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae, Nature, 428, 617, 10.1038/nature02424 · DOI
  28. Kenny, 2016, Ancestral whole-genome duplication in the marine chelicerate horseshoe crabs, Heredity, 116, 190, 10.1038/hdy.2015.89 · DOI
  29. Kernighan, 1970, An efficient heuristic procedure for partitioning graphs, Bell Syst Tech J, 49, 291, 10.1002/j.1538-7305.1970.tb01770.x · DOI
  30. Koonin, 2005, Orthologs, paralogs, and evolutionary genomics, Annu Rev Genet, 39, 309, 10.1146/annurev.genet.39.073003.114725 · DOI · Paper page
  31. Köster, 2012, Snakemake—a scalable bioinformatics workflow engine, Bioinformatics, 28, 2520, 10.1093/bioinformatics/bts480 · DOI · Paper page
  32. Lafond, 2014, Polytomy refinement for the correction of dubious duplications in gene trees, Bioinformatics, 30, i519, 10.1093/bioinformatics/btu463 · DOI
  33. Lafond, 2013, Gene tree correction guided by orthology, BMC Bioinformatics, 14, 10.1186/1471-2105-14-S15-S5 · DOI
  34. Li, 2016, Gene duplicability of core genes is highly consistent across all angiosperms, Plant Cell, 28, 326, 10.1105/tpc.15.00877 · DOI
  35. Liao, 2019, WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs, Nucleic Acids Res, 47, W199, 10.1093/nar/gkz401 · DOI · Paper page
  36. Lima, 1998, Taurine, glutamate and GABA modulate the outgrowth from goldfish retinal explants and its concentrations are affected by the crush of the optic nerve, Amino Acids, 15, 195, 10.1007/BF01318859 · DOI
  37. Lorin, 2018, Teleost fish-specific preferential retention of pigmentation gene-containing families after whole genome duplications in vertebrates, G3 (Bethesda), 8, 1795, 10.1534/g3.118.200201 · DOI
  38. Lucas, 2014, PhylDiag: identifying complex synteny blocks that include tandem duplications using phylogenetic gene trees, BMC Bioinformatics, 15, 268, 10.1186/1471-2105-15-268 · DOI
  39. Lyall, 1957, Cone arrangements in teleost retinae, J Cell Sci, s3–s98, 189, 10.1242/jcs.s3-98.42.189 · DOI
  40. Lynch, 2000, The evolutionary fate and consequences of duplicate genes, Science, 290, 1151, 10.1126/science.290.5494.1151 · DOI · Paper page
  41. Makino, 2010, Ohnologs in the human genome are dosage balanced and frequently associated with disease, Proc Natl Acad Sci U S A, 107, 9270, 10.1073/pnas.0914697107 · DOI
  42. Moriyama, 2016, Evolution of the fish heart by sub/neofunctionalization of an elastin gene, Nat Commun, 7, 10, 10.1038/ncomms10397 · DOI
  43. Muffato, 2010, Genomicus: a database and a browser to study gene synteny in modern and ancestral genomes, Bioinformatics, 26, 1119, 10.1093/bioinformatics/btq079 · DOI
  44. Noutahi, 2016, Efficient gene tree correction guided by genome evolution, PLoS One, 11, e0159559, 10.1371/journal.pone.0159559 · DOI
  45. Ohno, 1970, Evolution by gene duplication, 98, 10.1007/978-3-642-86659-3_17 · DOI
  46. Omura, 2000, Immunocytochemical localization of taurine in the fish retina under light and dark adaptations, Amino Acids, 19, 593, 10.1007/s007260070009 · DOI
  47. Pasquier, 2017, Evolution of gene expression after whole-genome duplication: new insights from the spotted gar genome, J Exp Zool Mol Dev Evol, 328, 709, 10.1002/jez.b.22770 · DOI
  48. Pasquier, 2016, Gene evolution and gene expression after whole genome duplication in fish: the PhyloFish database, BMC Genomics, 17, 368, 10.1186/s12864-016-2709-z · DOI
  49. Rasmussen, 2007, Accurate gene-tree reconstruction by learning gene- and species-specific substitution rates across multiple complete genomes, Genome Res, 17, 1932, 10.1101/gr.7105007 · DOI
  50. Rasmussen, 2011, A Bayesian approach for fast and accurate gene tree reconstruction, Mol Biol Evol, 28, 273, 10.1093/molbev/msq189 · DOI
  51. Rokas, 2000, Rare genomic changes as a tool for phylogenetics, Trends Ecol Evol, 15, 454, 10.1016/S0169-5347(00)01967-4 · DOI
  52. Roux, 2017, Selective constraints on coding sequences of nervous system genes are a major determinant of duplicate gene retention in vertebrates, Mol Biol Evol, 34, 2773, 10.1093/molbev/msx199 · DOI
  53. Ruprecht, 2017, Revisiting ancestral polyploidy in plants, Sci Adv, 3, e1603195, 10.1126/sciadv.1603195 · DOI
  54. Sacerdot, 2018, Chromosome evolution at the origin of the ancestral vertebrate genome, Genome Biol, 19, 166, 10.1186/s13059-018-1559-1 · DOI · Paper page
  55. Scannell, 2006, Multiple rounds of speciation associated with reciprocal gene loss in polyploid yeasts, Nature, 440, 341, 10.1038/nature04562 · DOI
  56. Scornavacca, 2015, Joint amalgamation of most parsimonious reconciled gene trees, Bioinformatics, 31, 841, 10.1093/bioinformatics/btu728 · DOI
  57. Shimodaira, 2002, An approximately unbiased test of phylogenetic tree selection, Syst Biol, 51, 492, 10.1080/10635150290069913 · DOI · Paper page
  58. Shimodaira, 2001, CONSEL: for assessing the confidence of phylogenetic tree selection, Bioinformatics, 17, 1246, 10.1093/bioinformatics/17.12.1246 · DOI
  59. Singh, 2012, On the expansion of “dangerous” gene repertoires by whole-genome duplications in early vertebrates, Cell Rep, 2, 1387, 10.1016/j.celrep.2012.09.034 · DOI
  60. Singh, 2015, Identification of ohnolog genes originating from whole genome duplication in early vertebrates, based on synteny comparison across multiple genomes, PLoS Comput Biol, 11, e1004394, 10.1371/journal.pcbi.1004394 · DOI
  61. Singh, 2020, OHNOLOGS v2: a comprehensive resource for the genes retained from whole genome duplication in vertebrates, Nucleic Acids Res.
  62. Sollars, 2017, Genome sequence and genetic diversity of European ash trees, Nature, 541, 212, 10.1038/nature20786 · DOI
  63. Som, 2015, Causes, consequences and solutions of phylogenetic incongruence, Brief Bioinform, 16, 536, 10.1093/bib/bbu015 · DOI
  64. Stamatakis, 2014, RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies, Bioinformatics, 30, 1312, 10.1093/bioinformatics/btu033 · DOI · Paper page
  65. Sukeena, 2016, Characterization and evolution of the spotted gar retina, J Exp Zool Mol Dev Evol, 326, 403, 10.1002/jez.b.22710 · DOI
  66. Szöllősi, 2013, Efficient exploration of the space of reconciled gene trees, Syst Biol, 62, 901, 10.1093/sysbio/syt054 · DOI
  67. Szöllősi, 2015, The inference of gene trees with species trees, Syst Biol, 64, e42, 10.1093/sysbio/syu048 · DOI
  68. Van de Peer, 2010, 2R or not 2R is not the question anymore, Nat Rev Genet, 11, 166, 10.1038/nrg2600-c2 · DOI
  69. Van de Peer, 2017, The evolutionary significance of polyploidy, Nat Rev Genet, 18, 411, 10.1038/nrg.2017.26 · DOI
  70. van Hoek, 2009, Metabolic adaptation after whole genome duplication, Mol Biol Evol, 26, 2441, 10.1093/molbev/msp160 · DOI
  71. Varadharajan, 2018, The Grayling genome reveals selection on gene expression regulation after whole-genome duplication, Genome Biol Evol, 10, 2785, 10.1093/gbe/evy201 · DOI
  72. Veitia, 2008, Cellular reactions to gene dosage imbalance: genomic, transcriptomic and proteomic effects, Trends Genet, 24, 390, 10.1016/j.tig.2008.05.005 · DOI
  73. Vilella, 2009, EnsemblCompara GeneTrees: complete, duplication-aware phylogenetic trees in vertebrates, Genome Res, 19, 327, 10.1101/gr.073585.107 · DOI · Paper page
  74. Wapinski, 2007, Automatic genome-wide reconstruction of phylogenetic gene trees, Bioinformatics, 23, i549, 10.1093/bioinformatics/btm193 · DOI
  75. Wu, 2013, TreeFix: statistically informed gene tree error correction using species trees, Syst Biol, 62, 110, 10.1093/sysbio/sys076 · DOI
  76. Yanai, 2005, Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification, Bioinformatics, 21, 650, 10.1093/bioinformatics/bti042 · DOI · Paper page
  77. Zwaenepoel, 2019, Inference of ancient whole-genome duplications and the evolution of gene duplication and loss rates, Mol Biol Evol, 36, 1384, 10.1093/molbev/msz088 · DOI

Cited by

Sorted by citations

Metadata

Authors
Parey, E., Louis, A., Cabau, C., Guiguen, Y., Roest Crollius, H., & Berthelot, C.
Affiliations
  • Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France
  • SIGENAE, GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France
  • INRAE, LPGP, Rennes, France
Venue
Molecular Biology and Evolution
Published
2020-06-18
Volume
37
Issue
11
Pages
3324-3337
ISSN
  • 0737-4038
  • 1537-1719
Cited by
49
References
1
Language
en
Funders
  • ANR GenoFish (ANR-16-CE12-0035)
  • French Government and implemented by ANR (ANR–10–LABX–54 MEMOLIFE, ANR–10–IDEX–0001–02 PSL*)

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review