Journal article

Gene content evolution in the arthropods

Gregg WC Thomas, Elias Dohmen, Daniel ST Hughes, Shwetha C Murali, Monica Poelchau, Karl Glastad, Clare A Anstead, Nadia A Ayoub, Phillip Batterham, Michelle Bellair, Greta J Binford, Hsu Chao, Yolanda H Chen, Christopher Childers, Huyen Dinh, Harsha Vardhan Doddapaneni, Jian J Duan, Shannon Dugan, Lauren A Esposito, Markus Friedrich Show all

GENOME BIOLOGY | BMC | Published : 2020


BACKGROUND: Arthropods 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. RESULTS: Using 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 ident..

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Awarded by National Human Genome Research Institute

Awarded by NSF

Awarded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)

Awarded by Swiss National Science Foundation

Awarded by NSF-DEB grant

Awarded by USDA-APHIS

Awarded by German Research foundation

Awarded by Housing and Urban Development

Awarded by National Science Foundation

Awarded by Alfred P. Sloan Foundation

Awarded by Victorian Life Sciences Computation Initiative (VLSCI)

Funding Acknowledgements

Genome sequencing, assembly, and annotation were funded by National Human Genome Research Institute grant U54 HG003273 to R.A.G. GWCT and MWH are funded by NSF DBI-1564611. ED was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -281125614/GRK2220. RMW, PI, and EMZ were funded by The Swiss National Science Foundation (PP00P3_170664 to RMW, 31003A_143936 to EMZ). Contributions by DDM and AW were supported in part by NSF-DEB grant 1355169 and USDA-APHIS Cooperative Agreement 15-8130-0547-CA to DDM. BM and ON acknowledge the German Research foundation (NI 1387/3-1, MI 649/12-1) and the Leibnitz Graduate School on Genomic Biodiversity Research. CS was supported by the Blanton J. Whitmire endowment, Housing and Urban Development NCHHU-0007-13, National Science Foundation 1557864 and Alfred P. Sloan Foundation 2013-5-35 MBE. Funding from Australian Wool Innovation (to P.B. and R.B.G.) and the Australian Research Council (to R.B.G.) is gratefully acknowledged. Support to R.B.G.'s laboratory by YourGene Bioscience and Melbourne Water Corporation is gratefully acknowledged. This project was also supported by a Victorian Life Sciences Computation Initiative (VLSCI; grant number VR0007) on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government (R.B.G.). C.A.A. holds an NSERC Postdoctoral Fellowship. N.D.Y. holds an NHMRC Early Career Research Fellowship. P.K.K. is the recipient of a scholarship (STRAPA) from the University of Melbourne. No funding body participated in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.