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Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing

Tibetan Chickens should have unique gastrointestinal microbiota because of their particular habitats. Thus, the aim of this study was to investigate the cecal microbiota of Tibetan Chickens from five typical high‐altitude regions of China. Lohmann egg‐laying hens (LMs) and Daheng broiler chickens (D...

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Autores principales: Zhou, Xueyan, Jiang, Xiaosong, Yang, Chaowu, Ma, Bingcun, Lei, Changwei, Xu, Changwen, Zhang, Anyun, Yang, Xin, Xiong, Qi, Zhang, Peng, Men, Shuai, Xiang, Rong, Wang, Hongning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061713/
https://www.ncbi.nlm.nih.gov/pubmed/27139888
http://dx.doi.org/10.1002/mbo3.367
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author Zhou, Xueyan
Jiang, Xiaosong
Yang, Chaowu
Ma, Bingcun
Lei, Changwei
Xu, Changwen
Zhang, Anyun
Yang, Xin
Xiong, Qi
Zhang, Peng
Men, Shuai
Xiang, Rong
Wang, Hongning
author_facet Zhou, Xueyan
Jiang, Xiaosong
Yang, Chaowu
Ma, Bingcun
Lei, Changwei
Xu, Changwen
Zhang, Anyun
Yang, Xin
Xiong, Qi
Zhang, Peng
Men, Shuai
Xiang, Rong
Wang, Hongning
author_sort Zhou, Xueyan
collection PubMed
description Tibetan Chickens should have unique gastrointestinal microbiota because of their particular habitats. Thus, the aim of this study was to investigate the cecal microbiota of Tibetan Chickens from five typical high‐altitude regions of China. Lohmann egg‐laying hens (LMs) and Daheng broiler chickens (DHs) were chosen as controls. The cecal bacterial populations of Tibetan Chickens were surveyed by high‐throughput sequencing (HTS) of the bacterial 16S rRNA hypervariable region V3‐V4 (16S rRNAV3‐V4) combined with community‐fingerprinting analysis of the 16S rRNA gene based on polymerase chain reaction‐denaturing gradient gel electrophoresis (PCR‐DGGE). The results revealed that the majority of cecal microbiota differed between the Tibetan Chicken and LM/DH. The microbial communities in the cecum were composed of 16 phyla, 28 classes, 36 orders, 57 families, 101 genera, and 189 species. Represented phyla were Bacteroidetes (>47%), Firmicutes (>18.8%), Spirochaetae (>0.3%), and Proteobacteria (>0.4%). Bacteroides and the RC9 gut group were the two most abundant genera. There were relatively more Christensenellaceae, Subdoligranulum, Spirochaeta, and Treponema in Tibetan Chickens, whereas there were more Phascolarctobacterium, Faecalibacterium, Megamonas, and Desulfovibrio in LMs and DHs. The cecal microbiota of Tibetan Chicken have slightly diverged due to exposure to different geographic environments. Differences in the intestinal bacterial communities of Tibetan Chicken and LM/DH were noted.
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spelling pubmed-50617132016-10-24 Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing Zhou, Xueyan Jiang, Xiaosong Yang, Chaowu Ma, Bingcun Lei, Changwei Xu, Changwen Zhang, Anyun Yang, Xin Xiong, Qi Zhang, Peng Men, Shuai Xiang, Rong Wang, Hongning Microbiologyopen Original Research Tibetan Chickens should have unique gastrointestinal microbiota because of their particular habitats. Thus, the aim of this study was to investigate the cecal microbiota of Tibetan Chickens from five typical high‐altitude regions of China. Lohmann egg‐laying hens (LMs) and Daheng broiler chickens (DHs) were chosen as controls. The cecal bacterial populations of Tibetan Chickens were surveyed by high‐throughput sequencing (HTS) of the bacterial 16S rRNA hypervariable region V3‐V4 (16S rRNAV3‐V4) combined with community‐fingerprinting analysis of the 16S rRNA gene based on polymerase chain reaction‐denaturing gradient gel electrophoresis (PCR‐DGGE). The results revealed that the majority of cecal microbiota differed between the Tibetan Chicken and LM/DH. The microbial communities in the cecum were composed of 16 phyla, 28 classes, 36 orders, 57 families, 101 genera, and 189 species. Represented phyla were Bacteroidetes (>47%), Firmicutes (>18.8%), Spirochaetae (>0.3%), and Proteobacteria (>0.4%). Bacteroides and the RC9 gut group were the two most abundant genera. There were relatively more Christensenellaceae, Subdoligranulum, Spirochaeta, and Treponema in Tibetan Chickens, whereas there were more Phascolarctobacterium, Faecalibacterium, Megamonas, and Desulfovibrio in LMs and DHs. The cecal microbiota of Tibetan Chicken have slightly diverged due to exposure to different geographic environments. Differences in the intestinal bacterial communities of Tibetan Chicken and LM/DH were noted. John Wiley and Sons Inc. 2016-05-02 /pmc/articles/PMC5061713/ /pubmed/27139888 http://dx.doi.org/10.1002/mbo3.367 Text en © 2016 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Zhou, Xueyan
Jiang, Xiaosong
Yang, Chaowu
Ma, Bingcun
Lei, Changwei
Xu, Changwen
Zhang, Anyun
Yang, Xin
Xiong, Qi
Zhang, Peng
Men, Shuai
Xiang, Rong
Wang, Hongning
Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing
title Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing
title_full Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing
title_fullStr Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing
title_full_unstemmed Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing
title_short Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing
title_sort cecal microbiota of tibetan chickens from five geographic regions were determined by 16s rrna sequencing
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5061713/
https://www.ncbi.nlm.nih.gov/pubmed/27139888
http://dx.doi.org/10.1002/mbo3.367
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