Museomics Deciphers the Phylogeographic Differentiation and Conservation Status of a Montane Pheasant

Anthropogenic habitat fragmentation and climate change have significantly reduced the genetic diversity and adaptive potential of local populations in numerous species. However, the lack of comprehensive genomic data from local populations has hindered the accurate assessment of their threatened status, hindering the designation of effective conservation units. Museum specimens offer a valuable source of historical DNA, enabling insights into population structure and uncovering hidden genetic diversity. The Koklass Pheasant, a montane species distributed across Central and Southwestern China, is increasingly threatened by habitat loss and climate change. Here, we utilized whole-genome sequencing data of museum samples to decipher the population structure and assess genetic diversity of this species. We identified six distinct populations, five of which corresponded to known subspecies in China, while a newly discovered Sichuan population exhibited clear genetic differentiation. Historical demographic analyses revealed a shared historical trajectory, characterized by expansion following the Last Glacial Maximum and a decline starting around 10 Kya. Genetic diversity and mutational load were unevenly distributed across populations. Notably, the Anhui population, which inhabits a restricted and isolated range, exhibited the lowest genetic diversity and highest mutational load, rendering it particularly vulnerable. Furthermore, ecological niche modeling predicted that climate change will lead to the near-complete loss of suitable habitat for populations in Anhui and Southern China. These findings underscore the importance of incorporating genomic data from museum samples into conservation strategies and highlight the necessity of establishing conservation units based on genetic diversity and evolutionary significance to safeguard the future of threatened species.

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Publication Details

Journal
Integrative Zoology
Published
2025-11-11
DOI
https://doi.org/10.1111/1749-4877.70020
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00

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article

Museomics Deciphers the Phylogeographic Differentiation and Conservation Status of a Montane Pheasant

Jinjuan Mei, Zhiyong Jiang, Yalin Cheng, Yanhua Qu et al.
Integrative Zoology
Genetic diversity and population structure
article

Museomics Deciphers the Phylogeographic Differentiation and Conservation Status of a Montane Pheasant

Jinjuan Mei, Zhiyong Jiang, Yalin Cheng, Yanhua Qu, Hailong Wu, Wenqing Zang, Shuai Zhang, Peng He, Dezhi Zhang, Peng Cui
article en

Abstract

Anthropogenic habitat fragmentation and climate change have significantly reduced the genetic diversity and adaptive potential of local populations in numerous species. However, the lack of comprehensive genomic data from local populations has hindered the accurate assessment of their threatened status, hindering the designation of effective conservation units. Museum specimens offer a valuable source of historical DNA, enabling insights into population structure and uncovering hidden genetic diversity. The Koklass Pheasant, a montane species distributed across Central and Southwestern China, is increasingly threatened by habitat loss and climate change. Here, we utilized whole-genome sequencing data of museum samples to decipher the population structure and assess genetic diversity of this species. We identified six distinct populations, five of which corresponded to known subspecies in China, while a newly discovered Sichuan population exhibited clear genetic differentiation. Historical demographic analyses revealed a shared historical trajectory, characterized by expansion following the Last Glacial Maximum and a decline starting around 10 Kya. Genetic diversity and mutational load were unevenly distributed across populations. Notably, the Anhui population, which inhabits a restricted and isolated range, exhibited the lowest genetic diversity and highest mutational load, rendering it particularly vulnerable. Furthermore, ecological niche modeling predicted that climate change will lead to the near-complete loss of suitable habitat for populations in Anhui and Southern China. These findings underscore the importance of incorporating genomic data from museum samples into conservation strategies and highlight the necessity of establishing conservation units based on genetic diversity and evolutionary significance to safeguard the future of threatened species.

Integrative Zoology
Chinese Academy of Sciences (CN), Ministry of Ecology and Environment (CN), Ministry of Education (KN), Nanjing Institute of Environmental Sciences (CN), Institute of Zoology (CN), Hebei Normal University (CN)
Chinese Academy of Sciences, Natural Science Foundation of Anhui Province, Institute of Zoology, Chinese Academy of Sciences
Openalex Percentile: Top 64%
Genetic diversity and population structure
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