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Yang L, Jin H, Yang Q, Poyarkov A, Korablev M, Rozhnov V, Shao J, Fu Q, Hernandez-Blanco JA, Zhan X, Yu L, Alexandrov D, Dai Q, Munkhtsog B, Du X, Munkhtsog B, Ma L, Chen W, Malykh S, Jin Y, He S, Zhang T, Wu G, Shi Y, Wei F, Hu Y. Genomic evidence for low genetic diversity but purging of strong deleterious variants in snow leopards. Genome Biol 2025; 26:94. [PMID: 40229771 PMCID: PMC11998254 DOI: 10.1186/s13059-025-03555-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Accepted: 03/24/2025] [Indexed: 04/16/2025] Open
Abstract
BACKGROUND Long-term persistence of species with low genetic diversity is the focus of widespread attention in conservation biology. The snow leopard, Panthera uncia, is a big cat from high-alpine regions of Asia. However, its subspecies taxonomy, evolutionary history, evolutionary potential, and survival strategy remain unclear, which greatly hampers their conservation. RESULTS We sequence a high-quality chromosome-level genome of the snow leopard and the genomes of 52 wild snow leopards. Population genomics reveal the existence of two large genetic lineages in global snow leopards, the northern and southern lineages, supported by the biogeography. The Last Glacial Maximum drove the divergence of two lineages. Microclimate differences and large rivers between the western and central Himalayas likely maintain the differentiation of two lineages. EPAS1 is positively selected in the southern lineage with almost fixed amino acid substitutions and shows an increased allele frequency with elevation. Compared to the southern lineage, the northern lineage exhibits a lower level of genomic diversity and higher levels of inbreeding and genetic load, consistent with its recent population decline. We find that snow leopards have extremely low genomic diversity and higher inbreeding than other Carnivora species; however, strong deleterious mutations have been effectively purged in snow leopards by historical population bottlenecks and inbreeding, which may be a vital genetic mechanism for their population survival and viability. CONCLUSIONS Our findings reveal the survival strategy of a species with low genetic diversity and highlight the importance of unveiling both genetic diversity and genetic burden for the conservation of threatened species.
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Affiliation(s)
- Lin Yang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Jiangxi Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi, China
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China
| | - Hong Jin
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Qien Yang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China
| | - Andrey Poyarkov
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Miroslav Korablev
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Viatcheslav Rozhnov
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Junjie Shao
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | | | - Xiangjiang Zhan
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, Yunnan University, Kunming, China
| | - Dmitry Alexandrov
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Qingyan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | | | - Xin Du
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Bayaraa Munkhtsog
- Institute of Biology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
| | - Liqing Ma
- Qinghai Academy of Animal Sciences and Veterinary Medicine, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Qinghai University, Xining, Qinghai, China
| | - Wanlin Chen
- University of Chinese Academy of Sciences, Beijing, China
| | - Sergei Malykh
- A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Yipeng Jin
- The Clinical Department, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Shunfu He
- Xining Wildlife Zoo, Xining, Qinghai, China
| | - Tongzuo Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China
| | | | - Yonghong Shi
- Dulan Forestry and Grassland Administration, Haixi, Qinghai, China
| | - Fuwen Wei
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- Jiangxi Key Laboratory of Conservation Biology, College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
- Center for Evolution and Conservation Biology, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
| | - Yibo Hu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
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Atzeni L, Cushman SA, Wang J, Riordan P, Shi K, Bauman D. Evidence of spatial genetic structure in a snow leopard population from Gansu, China. Heredity (Edinb) 2021; 127:522-534. [PMID: 34743188 PMCID: PMC8626472 DOI: 10.1038/s41437-021-00483-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 10/22/2021] [Accepted: 10/22/2021] [Indexed: 11/09/2022] Open
Abstract
Understanding the spatial structure of genetic diversity provides insights into a populations' genetic status and enables assessment of its capacity to counteract the effects of genetic drift. Such knowledge is particularly scarce for the snow leopard, a conservation flagship species of Central Asia mountains. Focusing on a snow leopard population in the Qilian mountains of Gansu Province, China, we characterised the spatial genetic patterns by incorporating spatially explicit indices of diversity and multivariate analyses, based on different inertia levels of Principal Component Analysis (PCA). We compared two datasets differing in the number of loci and individuals. We found that genetic patterns were significantly spatially structured and were characterised by a broad geographical division coupled with a fine-scale cline of differentiation. Genetic admixture was detected in two adjoining core areas characterised by higher effective population size and allelic diversity, compared to peripheral localities. The power to detect significant spatial relationships depended primarily on the number of loci, and secondarily on the number of PCA axes. Spatial patterns and indices of diversity highlighted the cryptic structure of snow leopard genetic diversity, likely driven by its ability to disperse over large distances. In combination, the species' low allelic richness and large dispersal ability result in weak genetic differentiation related to major geographical features and isolation by distance. This study illustrates how cryptic genetic patterns can be investigated and analysed at a fine spatial scale, providing insights into the spatially variable isolation effects of both geographic distance and landscape resistance.
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Affiliation(s)
- Luciano Atzeni
- Wildlife Institute, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Samuel A Cushman
- US Forest Service, Rocky Mountain Research Station, Flagstaff, AZ, USA
| | - Jun Wang
- Wildlife Institute, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
- Department of Natural Sciences, Manchester Metropolitan University, Manchester, UK
| | - Philip Riordan
- Wildlife Institute, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
- Marwell Wildlife, Winchester, UK
- Department of Biological Sciences, University of Southampton, Southampton, UK
| | - Kun Shi
- Wildlife Institute, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China.
- Eco-Bridge Continental, Beijing, China.
| | - David Bauman
- Smithsonian Environmental Research Center, Edgewater, MD, USA
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
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