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Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing
BACKGROUND: Gut microbiota plays a significant role in host survival, health, and diseases; however, compared to other livestock, research on the gut microbiome of donkeys is limited. RESULTS: In this study, a total of 30 donkey samples of rectal contents from six regions, including Shigatse, Changd...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478257/ https://www.ncbi.nlm.nih.gov/pubmed/37670231 http://dx.doi.org/10.1186/s12864-023-09575-z |
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author | Guo, Rong Zhang, Wei Shen, Wei Zhang, Guoliang Xie, Taifeng Li, Ling Jinmei, Jiacuo Liu, Yiduan Kong, Fanyong Guo, Baozhu Li, Benke Sun, Yujiang Liu, Shuqin |
author_facet | Guo, Rong Zhang, Wei Shen, Wei Zhang, Guoliang Xie, Taifeng Li, Ling Jinmei, Jiacuo Liu, Yiduan Kong, Fanyong Guo, Baozhu Li, Benke Sun, Yujiang Liu, Shuqin |
author_sort | Guo, Rong |
collection | PubMed |
description | BACKGROUND: Gut microbiota plays a significant role in host survival, health, and diseases; however, compared to other livestock, research on the gut microbiome of donkeys is limited. RESULTS: In this study, a total of 30 donkey samples of rectal contents from six regions, including Shigatse, Changdu, Yunnan, Xinjiang, Qinghai, and Dezhou, were collected for metagenomic sequencing. The results of the species annotation revealed that the dominant phyla were Firmicutes and Bacteroidetes, and the dominant genera were Bacteroides, unclassified_o_Clostridiales (short for Clostridiales) and unclassified_f_Lachnospiraceae (short for Lachnospiraceae). The dominant phyla, genera and key discriminators were Bacteroidetes, Clostridiales and Bacteroidetes in Tibet donkeys (Shigatse); Firmicutes, Clostridiales and Clostridiales in Tibet donkeys (Changdu); Firmicutes, Fibrobacter and Tenericutes in Qinghai donkeys; Firmicutes, Clostridiales and Negativicutes in Yunnan donkeys; Firmicutes, Fibrobacter and Fibrobacteres in Xinjiang donkeys; Firmicutes, Clostridiales and Firmicutes in Dezhou donkeys. In the functional annotation, it was mainly enriched in the glycolysis and gluconeogenesis of carbohydrate metabolism, and the abundance was the highest in Dezhou donkeys. These results combined with altitude correlation analysis demonstrated that donkeys in the Dezhou region exhibited strong glucose-conversion ability, those in the Shigatse region exhibited strong glucose metabolism and utilization ability, those in the Changdu region exhibited a strong microbial metabolic function, and those in the Xinjiang region exhibited the strongest ability to decompose cellulose and hemicellulose. CONCLUSION: According to published literature, this is the first study to construct a dataset with multi-regional donkey breeds. Our study revealed the differences in the composition and function of gut microbes in donkeys from different geographic regions and environmental settings and is valuable for donkey gut microbiome research. |
format | Online Article Text |
id | pubmed-10478257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104782572023-09-06 Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing Guo, Rong Zhang, Wei Shen, Wei Zhang, Guoliang Xie, Taifeng Li, Ling Jinmei, Jiacuo Liu, Yiduan Kong, Fanyong Guo, Baozhu Li, Benke Sun, Yujiang Liu, Shuqin BMC Genomics Research BACKGROUND: Gut microbiota plays a significant role in host survival, health, and diseases; however, compared to other livestock, research on the gut microbiome of donkeys is limited. RESULTS: In this study, a total of 30 donkey samples of rectal contents from six regions, including Shigatse, Changdu, Yunnan, Xinjiang, Qinghai, and Dezhou, were collected for metagenomic sequencing. The results of the species annotation revealed that the dominant phyla were Firmicutes and Bacteroidetes, and the dominant genera were Bacteroides, unclassified_o_Clostridiales (short for Clostridiales) and unclassified_f_Lachnospiraceae (short for Lachnospiraceae). The dominant phyla, genera and key discriminators were Bacteroidetes, Clostridiales and Bacteroidetes in Tibet donkeys (Shigatse); Firmicutes, Clostridiales and Clostridiales in Tibet donkeys (Changdu); Firmicutes, Fibrobacter and Tenericutes in Qinghai donkeys; Firmicutes, Clostridiales and Negativicutes in Yunnan donkeys; Firmicutes, Fibrobacter and Fibrobacteres in Xinjiang donkeys; Firmicutes, Clostridiales and Firmicutes in Dezhou donkeys. In the functional annotation, it was mainly enriched in the glycolysis and gluconeogenesis of carbohydrate metabolism, and the abundance was the highest in Dezhou donkeys. These results combined with altitude correlation analysis demonstrated that donkeys in the Dezhou region exhibited strong glucose-conversion ability, those in the Shigatse region exhibited strong glucose metabolism and utilization ability, those in the Changdu region exhibited a strong microbial metabolic function, and those in the Xinjiang region exhibited the strongest ability to decompose cellulose and hemicellulose. CONCLUSION: According to published literature, this is the first study to construct a dataset with multi-regional donkey breeds. Our study revealed the differences in the composition and function of gut microbes in donkeys from different geographic regions and environmental settings and is valuable for donkey gut microbiome research. BioMed Central 2023-09-05 /pmc/articles/PMC10478257/ /pubmed/37670231 http://dx.doi.org/10.1186/s12864-023-09575-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Guo, Rong Zhang, Wei Shen, Wei Zhang, Guoliang Xie, Taifeng Li, Ling Jinmei, Jiacuo Liu, Yiduan Kong, Fanyong Guo, Baozhu Li, Benke Sun, Yujiang Liu, Shuqin Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing |
title | Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing |
title_full | Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing |
title_fullStr | Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing |
title_full_unstemmed | Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing |
title_short | Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing |
title_sort | analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478257/ https://www.ncbi.nlm.nih.gov/pubmed/37670231 http://dx.doi.org/10.1186/s12864-023-09575-z |
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