The contribution of historical processes to contemporary extinction risk in placental mammals
Wilder, Aryn P. (San Diego Zoo Wildlife Alliance. Conservation Genetics)
Supple, Megan A. (University of California. Department of Ecology and Evolutionary Biology)
Subramanian, Ayshwarya (Broad Institute of MIT and Harvard)
Mudide, Anish (Phillips Exeter Academy)
Swofford, Ross (Broad Institute of MIT and Harvard)
Serres-Armero, Aitor (Institut de Biologia Evolutiva (UPF-CSIC) (Barcelona))
Steiner, Cynthia (San Diego Zoo Wildlife Alliance. Conservation Genetics)
Koepfli, Klaus-Peter (Smithsonian Conservation Biology Institute)
Genereux, Diane P. (Broad Institute of MIT and Harvard)
Karlsson, Elinor K. (University of Massachusetts Medical School)
Lindblad-Toh, Kerstin (Uppsala University. Department of Medical Biochemistry & Microbiology)
Marques-Bonet, Tomas 1975- (Institut Català de Paleontologia Miquel Crusafont)
Muñoz-Fuentes, Violeta (European Molecular Biology Laboratory-European Bioinformatics Institute. Wellcome Genome Campus)
Foley, Kathleen (Lehigh University. Department of Biological Sciences)
Meyer, Wynn K. (Lehigh University, Department of Biological Sciences)
Ryder, Oliver A. (University of California. Department of Evolution, Behavior and Ecology)
Shapiro, Beth (University of California. Howard Hughes Medical Institute)

Data:	2023
Resum:	Species persistence can be influenced by the amount, type, and distribution of diversity across the genome, suggesting a potential relationship between historical demography and resilience. Here, we surveyed genetic variation across single genomes of 240 mammals comprising the Zoonomia alignment to evaluate how historical effective population size (N ) impacts heterozygosity and deleterious genetic load and how these factors may contribute to extinction risk. We find that species with smaller historical N carry a proportionally larger burden of deleterious alleles due to long-term accumulation and fixation of genetic load, and have higher risk of extinction. This suggests that historical demography can inform contemporary resilience. Models that included genomic data were predictive of species' conservation status, suggesting that, in the absence of adequate census or ecological data, genomic information may provide an initial risk assessment. Genomic data from 240 species show that information encoded within a single genome can provide a conservation risk assessment.
Ajuts:	European Commission 864203 Agencia Estatal de Investigación BFU2017-86471-P Agencia Estatal de Investigación CEX2018-000792-M
Nota:	Altres ajuts: CERCA Programme/Generalitat de Catalunya ; Secretaria d'Universitats i Recerca
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Publicat a:	Science, Vol. 380, Num. 6643 (April 2023) , art. eabn5856, ISSN 1095-9203

DOI: 10.1126/science.abn5856
PMID: 37104572

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