Genome biologyGenomicsPeer-reviewed journal article
Gene Content Evolution in the Arthropods
Gregg W.C. ThomasiD, Elias DohmeniD, Daniel HughesiD, Shwetha Canchi MuraliiD, Monica F. PoelchauiD, Karl M. GlastadiD, Clare A. AnsteadiD, Nadia A. AyoubiD, Philip BatterhamiD, Michelle Bellair, Greta J. BinfordiD, Hsu Chao, Yolanda H. CheniD, Christopher P. ChildersiD, Huyen DinhiD, HarshaVardhan DoddapaneniiD, Jian J. DuaniD, Shannon DuganiD, Lauren A. EspositoiD, Markus FriedrichiD, Jessica E. GarbiD, Robin B. GasseriD, Michael A. D. GoodismaniD, Dawn E. Gundersen‐RindaliD, Yi HaniD, , Stephen RichardsiD
Abstract
BackgroundArthropods comprise the largest and most diverse phylum on Earth and play vital roles in nearly every ecosystem. Their diversity stems in part from variations on a conserved body plan, resulting from and recorded in adaptive changes in the genome. Dissection of the genomic record of sequence change enables broad questions regarding genome evolution to be addressed, even across hyper-diverse taxa within arthropods.\n\nResultsUsing 76 whole genome sequences representing 21 orders spanning more than 500 million years of arthropod evolution, we document changes in gene and protein domain content and provide temporal and phylogenetic context for interpreting these innovations. We identify many novel gene families that arose early in the evolution of arthropods and during the diversification of insects into modern orders. We reveal unexpected variation in patterns of DNA methylation across arthropods and examples of gene family and protein domain evolution coincident with the appearance of notable phenotypic and physiological adaptations such as flight, metamorphosis, sociality and chemoperception.\n\nConclusionsThese analyses demonstrate how large-scale comparative genomics can provide broad new insights into the genotype to phenotype map and generate testable hypotheses about the evolution of animal diversity.
- organism: Arabidopsis
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 233
- FWCI
- 13.13
- Field percentile
- top 1%
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