Evolutionary constraint and innovation across hundreds of placental mammals
Uppsala University · Science for Life Laboratory · +51 more institutions
Abstract
Zoonomia is the largest comparative genomics resource for mammals produced to date. By aligning genomes for 240 species, we identify bases that, when mutated, are likely to affect fitness and alter disease risk. At least 332 million bases (~10.7%) in the human genome are unusually conserved across species (evolutionarily constrained) relative to neutrally evolving repeats, and 4552 ultraconserved elements are nearly perfectly conserved. Of 101 million significantly constrained single bases, 80% are outside protein-coding exons and half have no functional annotations in the Encyclopedia of DNA Elements (ENCODE) resource. Changes in genes and regulatory elements are associated with exceptional mammalian traits,…
Citation impact
- FWCI
- 196.21
- Percentile
- 100%
- References
- 319
Authors
179- MJMatthew J. ChristmasCorresponding
Uppsala University, Science for Life Laboratory
- IMIrene M. KaplowCorresponding
Carnegie Mellon University
- DPDiane P. Genereux
Broad Institute
- MXMichael X. Dong
Uppsala University, Science for Life Laboratory
- GMGraham M. Hughes
University College Dublin
Topics & keywords
- Constraint (computer-aided design)
- Evolutionary biology
- Biology
- Biological evolution
- Computational biology
- Genetics
- Mathematics
Funding
- NSNational Science FoundationAwards: 1929592, 1838283, 1252522, DGE-1252522, DEB-1457735, DGE1745016, 1753760, ACI-1548562, -1548562, 1548562, 18/CRT/6214, 2029774, 2046550, 2032006, 2022007, DEB-1753760, 2019035, 2011038, 1457735
- APAlfred P. Sloan Foundation
- GIGladstone Institutes
- CMCarnegie Mellon University
- LULehigh University
- RFRoddenberry Foundation
- UOUniversity of Maine
- BIBroad Institute
- ECEuropean CommissionAward: 864203
- SFScience Foundation IrelandAwards: 19/FFP/6790, 18/CRT/6214
- UCUniversity College Dublin
- IRIrish Research Council
- KOKnut och Alice Wallenbergs StiftelseAwards: 2018-05973, 864203, CEX2018-000792-M
- VVetenskapsrådetAwards: 2018-05973, 05973, 864203, 2018-, CEX2018-000792-M, D0886501
- SFScience for Life LaboratoryAwards: 864203, CEX2018-000792-M
- NINational Institutes of HealthAwards: U19AG057377, 1548562, ACI-1548562, U41HG007234, DP1DA046585, R01HG010485, U24-HG010136, R01HG008742, U24HG009446, U41HG002371, U01HG010961, -1548562, R24OD018250
- UOUniversity of California, Davis
- HPHigh Performance Research Computing, Texas A and M University
- AEAgencia Estatal de InvestigaciónAwards: CEX2018-000792-M, 864203
- UMUppsala Multidisciplinary Center for Advanced Computational Science