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Genome-wide signatures of convergent evolution in echolocating mammals
Open accessAbstract
By analysing genomic sequences in echolocating mammals it is shown that convergence is not a rare process restricted to a handful of loci but is instead widespread, continuously distributed and commonly driven by natural selection acting on a small number of sites per locus; analyses involved sequence comparisons across 22 mammals, including 4 new bat genomes, and found signatures consistent with convergence in genes linked to hearing or deafness, but surprisingly also to vision. Convergent evolution, through which similar traits evolve in unrelated lineages, is a familiar demonstration of the power of natural selection. These traits are usually viewed as representing alternate evolutionary solutions involving different sets of genes, but that view is challenged by a study of echolocating mammals. Analysis of the genomic sequences in 22 echolocating species, including four new bat genomes, reveals that convergence is not a rare process restricted to a handful of loci but is widespread, continuously distributed and commonly driven by natural selection acting on a small number of sites per locus. Convergence is particularly strong in genes linked to hearing or deafness, but surprisingly, also to vision. Evolution is typically thought to proceed through divergence of genes, proteins and ultimately phenotypes1,2,3. However, similar traits might also evolve convergently in unrelated taxa owing to similar selection pressures4,5. Adaptive phenotypic convergence is widespread in nature, and recent results from several genes have suggested that this phenomenon is powerful enough to also drive recurrent evolution at the sequence level6,7,8,9. Where homoplasious substitutions do occur these have long been considered the result of neutral processes. However, recent studies have demonstrated that adaptive convergent sequence evolution can be detected in vertebrates using statistical methods that model parallel evolution9,10, although the extent to which sequence convergence between genera occurs across genomes is unknown. Here we analyse genomic sequence data in mammals that have independently evolved echolocation and show that convergence is not a rare process restricted to several loci but is instead widespread, continuously distributed and commonly driven by natural selection acting on a small number of sites per locus. Systematic analyses of convergent sequence evolution in 805,053 amino acids within 2,326 orthologous coding gene sequences compared across 22 mammals (including four newly sequenced bat genomes) revealed signatures consistent with convergence in nearly 200 loci. Strong and significant support for convergence among bats and the bottlenose dolphin was seen in numerous genes linked to hearing or deafness, consistent with an involvement in echolocation. Unexpectedly, we also found convergence in many genes linked to vision: the convergent signal of many sensory genes was robustly correlated with the strength of natural selection. This first attempt to detect genome-wide convergent sequence evolution across divergent taxa reveals the phenomenon to be much more pervasive than previously recognized.
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Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
Evolution of genes and genomes on the Drosophila phylogeny
Drosophila 12 Genomes Consortium (2007) · Nature · doi:10.1038/nature06341 · Cited by 2,010
A high-resolution map of human evolutionary constraint using 29 mammals
Broad Institute Sequencing Platform and Whole Genome Assembly Team, Lindblad-Toh, K., Baylor College of Medicine Human Genome Sequencing Center Sequencing Team, Genome Institute at Washington University, Garber, M., Zuk, O., Lin, M. F., Parker, B. J., Washietl, S., Kheradpour, P., et al. (2011) · Nature · doi:10.1038/nature10530 · Cited by 1,108
Genome sequencing reveals insights into physiology and longevity of the naked mole rat
Kim, E. B., Fang, X., Fushan, A. A., Huang, Z., Lobanov, A. V., Han, L., Marino, S. M., Sun, X., Turanov, A. A., Yang, P., et al. (2011) · Nature · doi:10.1038/nature10533 · Cited by 576
Assessing the gene space in draft genomes
Parra, G., Bradnam, K., Ning, Z., Keane, T., & Korf, I. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn916 · Cited by 395
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Jarvis, E. D., Mirarab, S., Aberer, A. J., Li, B., Houde, P., Li, C., Ho, S. Y. W., Faircloth, B. C., Nabholz, B., Howard, J. T., et al. (2014) · Science · doi:10.1126/science.1253451 · Cited by 1,901
Convergent transcriptional specializations in the brains of humans and song-learning birds
Pfenning, A. R., Hara, E., Whitney, O., Rivas, M. V., Wang, R., Roulhac, P. L., Howard, J. T., Wirthlin, M., Lovell, P. V., Ganapathy, G., et al. (2014) · Science · doi:10.1126/science.1256846 · Cited by 463
“In addition, for echolocating mammals, genome-scale convergence in amino acid sequence was recently found in many genes involved in hearing (31).”
A field guide to whole‐genome sequencing, assembly and annotation
Ekblom, R., & Wolf, J. B. W. (2014) · Evolutionary Applications · doi:10.1111/eva.12178 · Cited by 428
Genomic signatures of evolutionary transitions from solitary to group living
Kapheim, K. M., Pan, H., Li, C., Salzberg, S. L., Puiu, D., Magoc, T., Robertson, H. M., Hudson, M. E., Venkat, A., Fischman, B. J., et al. (2015) · Science · doi:10.1126/science.aaa4788 · Cited by 409
Six reference-quality genomes reveal evolution of bat adaptations
Jebb, D., Huang, Z., Pippel, M., Hughes, G. M., Lavrichenko, K., Devanna, P., Winkler, S., Jermiin, L. S., Skirmuntt, E. C., Katzourakis, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2486-3 · Cited by 361
Metadata
- Authors
- Parker, J., Tsagkogeorga, G., Cotton, J. A., Liu, Y., Provero, P., Stupka, E., & Rossiter, S. J.
- Venue
- Nature
- Published
- 2013-09-04
- Volume
- 502
- Issue
- 7470
- Pages
- 228-231
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2090336802
- Cited by
- 378
- References
- 7
- FWCI
- 42.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
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