Literature DB >> 29106508

Gut region influences the diversity and interactions of bacterial communities in pikas (Ochotona curzoniae and Ochotona daurica).

Huan Li1, Tongtong Li2, Aileen Berasategui3, Junpeng Rui1, Xiao Zhang4, Chaonan Li1, Zhishu Xiao5, Xiangzhen Li1.   

Abstract

The mammalian microbial communities in the gastrointestinal tract (GIT) play important roles in host nutrition and health. However, we still lack an understanding of how these communities are organized across GIT in natural environments. Here, using 16S rRNA gene sequencing, we analyzed the bacterial community diversity, network interactions and ecosystem stability across five gut regions (mouth, stomach, small intestine, cecum and colon) emanating from two common pika species in China, including Plateau pikas (Ochotona curzoniae) inhabiting high-altitude regions, as well as Daurian pikas (O. daurica) occupying low-altitude areas. The relative abundances of dominant Bacteroidetes and Firmicutes exhibited an increasing trend from mouth to colon. Cecum and colon harbored higher bacterial diversity compared with other anatomical regions. Gut region significantly influenced the structure of bacterial communities in the GIT. Network analysis indicated that topological features showed marked variations among gut regions. Interestingly, the ecosystem stability of bacterial communities increased gradually from mouth to colon. Our results suggest that gut region influences the diversity, structure and network interactions of bacterial communities in pikas. For hindgut-fermenting herbivorous mammals, relatively higher bacterial diversity and ecosystem stability in the cecum may provide a favorable condition for the fermentation of indigestible plant polysaccharides. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  bacterial communities; diversity; ecosystem stability; gastrointestinal tract; network interactions; pikas

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Year:  2017        PMID: 29106508     DOI: 10.1093/femsec/fix149

Source DB:  PubMed          Journal:  FEMS Microbiol Ecol        ISSN: 0168-6496            Impact factor:   4.194


  8 in total

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2.  Stages of pregnancy and weaning influence the gut microbiota diversity and function in sows.

Authors:  Y J Ji; H Li; P F Xie; Z H Li; H W Li; Y L Yin; F Blachier; X F Kong
Journal:  J Appl Microbiol       Date:  2019-07-01       Impact factor: 3.772

3.  Elevation is Associated with Human Skin Microbiomes.

Authors:  Huan Li; Yijie Wang; Qiaoling Yu; Tianshu Feng; Rui Zhou; Liye Shao; Jiapeng Qu; Nan Li; Tingbei Bo; Huakun Zhou
Journal:  Microorganisms       Date:  2019-11-24

4.  Altitude influences microbial diversity and herbage fermentation in the rumen of yaks.

Authors:  Qingshan Fan; Metha Wanapat; Tianhai Yan; Fujiang Hou
Journal:  BMC Microbiol       Date:  2020-12-04       Impact factor: 3.605

5.  Gastrointestinal Tract and Dietary Fiber Driven Alterations of Gut Microbiota and Metabolites in Durco × Bamei Crossbred Pigs.

Authors:  Guofang Wu; Xianjiang Tang; Chao Fan; Lei Wang; Wenjuan Shen; Shi'en Ren; Liangzhi Zhang; Yanming Zhang
Journal:  Front Nutr       Date:  2022-01-28

6.  The Gut Microbiota Determines the High-Altitude Adaptability of Tibetan Wild Asses (Equus kiang) in Qinghai-Tibet Plateau.

Authors:  Hongjin Liu; Xueping Han; Na Zhao; Linyong Hu; Xungang Wang; Chongliang Luo; Yongwei Chen; Xinquan Zhao; Shixiao Xu
Journal:  Front Microbiol       Date:  2022-07-18       Impact factor: 6.064

7.  Environmental filtering increases with elevation for the assembly of gut microbiota in wild pikas.

Authors:  Huan Li; Rui Zhou; Jianxiao Zhu; Xiaodan Huang; Jiapeng Qu
Journal:  Microb Biotechnol       Date:  2019-06-10       Impact factor: 5.813

8.  Dietary Fiber Influences Bacterial Community Assembly Processes in the Gut Microbiota of Durco × Bamei Crossbred Pig.

Authors:  Xianjiang Tang; Liangzhi Zhang; Chao Fan; Lei Wang; Haibo Fu; Shi'en Ren; Wenjuan Shen; Shangang Jia; Guofang Wu; Yanming Zhang
Journal:  Front Microbiol       Date:  2021-12-08       Impact factor: 5.640

  8 in total

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