Population Genomic Analysis Provides Insights Into the Evolution and Conservation of Two Critically Endangered Musk Deer Species

群体基因组分析为两种极度濒危麝鹿物种的进化和保护提供了新的见解

阅读:2

Abstract

Musk deer (Moschus), the sole genus in the family Moschidae, are critically endangered and face an uncertain future due to the limited understanding of their taxonomy, evolutionary history, genetic load, and adaptive evolution. These knowledge gaps hinder conservation efforts at crucial stages. Here, we conducted a comprehensive conservation genomic analysis by sequencing eight M. anhuiensis genomes and integrating public data from 15 M. berezovskii individuals. Phylogenomic and population genomic analyses confirmed that M. anhuiensis is a distinct phylogenetic species that diverged approximately 260 thousand years ago (kya). Both species experienced severe population bottlenecks, subsequently exhibiting marked genetic divergence. Over the past 200 kya, M. berezovskii has undergone multiple admixture events and bottlenecks, whereas M. anhuiensis has steadily declined and maintained a small, stable population. Anthropogenic activities have intensified these pressures, leading to sharp declines in both species. Notably, M. anhuiensis has accumulated homozygous deleterious mutations, thereby heightening its extinction risk. Moreover, selective sweep analysis revealed 32 positively selected genes, including olfactory receptor genes (OLF3 and OR6B1), which are essential for foraging, reproduction, and social interactions; the proliferation-related gene (PDGFRA), which responds to environmental changes and injury; and the thermoregulation gene (CDH13), which helps maintain body temperature stability in extreme conditions. These findings shed light on the speciation and evolutionary history of musk deer, offering crucial insights into their local adaptations and vulnerabilities. This work provides a foundation for targeted conservation efforts to avert extinction and safeguard biodiversity.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。