Geographic and environmental impacts on gut microbiome in Himalayan langurs (Semnopithecus schistaceus) and Xizang macaques (Macaca mulatta vestita)
文献类型： 外文期刊
作者： Wang, Xueyu 1 ; Li, Hong 1 ; Yang, Yumin 2 ; Wu, Zhijiu 3 ; Wang, Zhixiang 1 ; Li, Dayong 1 ; Xia, Wancai 1 ; Zou, Shuzhen 1 ; Liu, Yujia 1 ; Wang, Fan 1 ;
作者机构： 1.China West Normal Univ, Dept Educ Sichuan Prov, Key Lab Conservat Biol Rhinopithecus Roxellana, Nanchong, Peoples R China
2.Sichuan Acad Agr Sci, Inst Agr Resources & Environm, Chengdu, Peoples R China
3.North Sichuan Med Coll, Affiliated Hosp, Nanchong, Peoples R China
关键词： gut microbiomes; geographic and environmental impacts; functional adaptations; Himalayan langurs (Semnopithecus schistaceus); Xizang macaques (Macaca mulatta vestita)
期刊名称：FRONTIERS IN MICROBIOLOGY （ 影响因子：4.5； 五年影响因子：5.2 ）
ISSN：
年卷期： 2024 年 15 卷
页码：
收录情况： SCI
摘要： Introduction: Gut microbiome plays a crucial role in the health of wild animals. Their structural and functional properties not only reflect the host's dietary habits and habitat conditions but also provide essential support for ecological adaptation in various environments. Methods: This study investigated the gut microbiome of Himalayan langurs (Semnopithecus schistaceus) and Xizang macaques (Macaca mulatta vestita) across different geographic regions using 16S rRNA gene and metagenomic sequencing. Results: Results showed distinct clustering patterns in gut microbiota based on geographic location. Soil had an insignificant impact on host gut microbiome. Himalayan langurs from mid-altitude regions exhibited higher levels of antibiotic resistance genes associated with multidrug resistance, while Xizang macaques from high-altitude regions showed a broader range of resistance genes. Variations in carbohydrate-active enzymes and KEGG pathways indicated unique metabolic adaptations to different environments. Discussion: These findings provide valuable insights into the health and conservation of these primates and the broader implications of microbial ecology and functional adaptations in extreme conditions.
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