论文     首页 > 科研成果 > 论文
Predicting Extinction Risk of Gibbons from Genomes of Extinct Yunnan Lar Gibbon
论文题目: Predicting Extinction Risk of Gibbons from Genomes of Extinct Yunnan Lar Gibbon
作者: Luo, Ayun; Tian, Hang-Yu; Li, Song; Roos, Christian; Wang, Sheng; Wu, Dong-Dong
联系作者: [email protected]
发表年度: 2026
DOI: DOI:10.1186/s13059-026-04056-4
摘要:

Background: All species of gibbons are endangered, with the Yunnan lar gibbons (Hylobates laryunnanensis) officially declared extinct in the wild in 2022. While human activities are frequently cited as major factor, the population structure, evolutionary history, and patterns of genomic erosion of endangered or extinct species remain poorly understood. Results: We obtain genomic data from museum specimens of the extinct Yunnan lar gibbon, as well as from extant gibbon populations, and conduct a comprehensive assessment of population history and the genomic consequences of recent declines. Our findings indicate that Pleistocene climate change greatly impacted the available habitats of the lar gibbon. In addition to climatic factors, we observe a bimodal distribution of heterozygosity in the Yunnan lar gibbon, likely resulting from a severe recent inbreeding event following a population bottleneck, which pushed the population to the brink of collapse. By integrating genomic data from other gibbon species, we propose that the heterozygosity distribution serves as a better indicator for assessing the conservation status of gibbon species. Conclusions: The interaction between genomic features and external factors, such as environmental conditions, likely contributed to the extinction of the Yunnan lar gibbon.The insights and resources generated from this study will boost the research in gibbon conservation genomics and assist in determining conservation priorities, evaluating, and improving conservation measures.

刊物名称: Genome Biology
论文出处: https://link.springer.com/article/10.1186/s13059-026-04056-4?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=clarivate
影响因子: 9.2(2025JIF)
Copyright © 2018-2019 电子游戏app下载安装 .All Rights Reserved
地址:云南省昆明市五华区教场东路32号  邮编:650223
电子邮件:[email protected]  滇ICP备05000723号