生物多样性 ›› 2025, Vol. 33 ›› Issue (7): 24505.  DOI: 10.17520/biods.2024505  cstr: 32101.14.biods.2024505

• 研究报告: 动物多样性 • 上一篇    下一篇

华北区野生麝类的分子鉴定及分布现状

蓝贤娜1(), 李亦欣1, 海路瑶1, 骆正伟1, 金学林4, 秦兴虎1(), 胡德夫1,*()(), 刘刚2,3,*()()   

  1. 1.北京林业大学生态与自然保护学院, 北京 100083
    2.中国林业科学研究院生态保护与修复研究所, 湿地环境保护与生态修复全国重点实验室, 北京 100091
    3.中国林业科学研究院湿地研究所, 湿地生态功能与恢复北京市重点实验室, 北京 100091
    4.陕西省动物研究所, 西安 710032
  • 收稿日期:2024-11-21 接受日期:2025-04-18 出版日期:2025-07-20 发布日期:2025-08-27
  • 通讯作者: *E-mail: hudf@bjfu.edu.cn;gangl@caf.ac.cn
  • 基金资助:
    国家重点研发计划(2023YFC3304000)

Identification and geographical distribution of wild musk deer species in North China

Xianna Lan1(), Yixin Li1, Luyao Hai1, Zhengwei Luo1, Xuelin Jin4, Xinghu Qin1(), Defu Hu1,*()(), Gang Liu2,3,*()()   

  1. 1 School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
    2 Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, State Key Laboratory of Wetland Conservation and Restoration, Beijing 100091, China
    3 Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Ecological Function and Restoration, Beijing 100091, China
    4 Shaanxi Institute of Zoology, Xi’an 710032, China
  • Received:2024-11-21 Accepted:2025-04-18 Online:2025-07-20 Published:2025-08-27
  • Contact: *E-mail: hudf@bjfu.edu.cn;gangl@caf.ac.cn
  • Supported by:
    National Key Research and Development Program(2023YFC3304000)

摘要:

麝科是亚洲东部森林环境中的特有小型反刍动物, 分布于我国及毗邻国家。我国动物地理区划华北区麝类物种的相关记录纷杂, 物种认定亦缺乏系统研究。本研究整合分子生物学和动物地理学方法, 研究动物地理区划华北区野生麝的物种认定及其地理分布。作者于2023年2-10月于山西省吕梁山、中条山、太岳山和陕西省的黄龙山4个山系采集210份样品(208份粪便 + 2份组织), 使用线粒体16S rRNA和Cytb片段, 成功测得272条序列, 经过序列比对, 华北区麝类样品均属于林麝(Moschus berezovskii), 未发现原麝(M. moschiferus)。系统发育分析表明华北区林麝与其他区域的林麝遗传距离为0.18% (16S rRNA)和0.70% (Cytb), 结合考虑华北区林麝的形态学特征和地理分布, 推测华北区林麝可能为一个新的地理宗。地理分布分析表明, 水热、植被和人为干扰是影响华北区林麝地理分布的重要因素。目前华北区林麝分布范围主要在动物地理的华北区黄土高原亚区的山地森林带, 呈现出西南-东北走向的山地分布格局。综合分析分子证据和地理分布范围, 本研究得出结论: 华北地区的麝为林麝而非原麝, 可归属为一个新的林麝亚种或地理宗, 其地理分布受到山脉连通性和水热条件的显著影响。

关键词: 林麝, 华北区, 16S rRNA, Cytb, 分布格局

Abstract

Aims: The family Moschidae includes small ruminants endemic to forest environments in East Asia, mainly distributed in China and neighboring countries. In the North China zoogeographical region, records of musk deer species are inconsistent, and systematic research on species identification is lacking. This study aimed to clarify the species identity of musk deer and analyze their geographical distribution in North China.

Methods: From February to October 2023, a total of 210 samples (208 fecal samples and 2 tissue samples) were collected from four mountain ranges: Lüliang, Zhongtiao, and Taiyue in Shanxi Province, and Huanglong in Shaanxi Province. Mitochondrial 16S rRNA and Cytb gene fragments were used, resulting in 272 successfully sequenced fragments. Sequences were aligned and compared with known reference sequences. The geographical distribution, genetic distances, and phylogenetic relationships of musk deer in North China were analyzed.

Results: Molecular analysis identified all sampled individuals as forest musk deer (Moschus berezovskii), with no Siberian musk deer (M. moschiferus) detected. Phylogenetic analysis showed genetic distances between the North China population and other population of M. berezovskiiwere 0.18% (16S rRNA) and 0.70% (Cytb). Combined with morphological traits and geographical distribution, this suggests the North China population may represent a new geographical sub-species. Geographical distribution analysis revealed that water availability, thermal conditions, vegetation, and human disturbance significantly influence the distribution of forest musk deer in North China. The current distribution is primarily concentrated in mountainous forest belts of the North China region and the Loess Plateau subregion, showing a southwest-northeast (SW-NE) mountain-oriented distribution pattern.

Conclusions: The musk deer population in North China belongs to forest musk deer rather than Siberian musk deer. It may constitute a new subspecies or geographical variant of M. berezovskii whose distribution is significantly influenced by mountain connectivity and hydrothermal conditions.

Key words: forest musk deer, North China, 16S rRNA, Cytb, distribution pattern