Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis

A large amount of dairy manure is produced annually in the Ningxia Hui Autonomous Region of China due to the increase in food-producing animal agriculture in this region. The presence of bovine-originated zoonotic, especially human, pathogenic bacteria in untreated manure poses a significant threat...

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Main Authors: Wen Zhang, Wu Li, Chenjie Ma, Xiaoling Wu, Xunde Li, Jin Zeng, Guangcun Deng, Yujiong Wang
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2019/3827360
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author Wen Zhang
Wu Li
Chenjie Ma
Xiaoling Wu
Xunde Li
Jin Zeng
Guangcun Deng
Yujiong Wang
author_facet Wen Zhang
Wu Li
Chenjie Ma
Xiaoling Wu
Xunde Li
Jin Zeng
Guangcun Deng
Yujiong Wang
author_sort Wen Zhang
collection DOAJ
description A large amount of dairy manure is produced annually in the Ningxia Hui Autonomous Region of China due to the increase in food-producing animal agriculture in this region. The presence of bovine-originated zoonotic, especially human, pathogenic bacteria in untreated manure poses a significant threat to the environment and to public health. However, little is known about the composition, diversity, and abundance of bacterial communities in untreated dairy manure in the Ningxia region. In this study, the microbial community structure of the dairy farm matrix was characterized through 16S rDNA sequencing. The impact of manure treatment methods on bacterial communities was also analyzed. The results showed that the microbial community in dairy manure contained both beneficial bacteria and pathogens, with Firmicutes, Bacteroidetes, Proteobacteria, Spirochaetes, and Actinobacteria as dominant phyla. The results also showed the diversity and variety of abundance of zoonotic pathogens among different matrices. The number of pathogens was found to increase significantly in the accumulated but untreated manure, which appeared to be the main matrix of dairy farms that accumulated pathogens including zoonotic pathogens. Findings from this study suggested that farm management, particularly proper treatment of manure, is essential to achieve a shift in the bacterial community composition and a reduction in the environmental load of pathogens including zoonotic pathogens.
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spelling doaj-art-89b5a3e035fc406bb7e7ca17159f71aa2025-08-20T02:09:37ZengWileyInternational Journal of Genomics2314-436X2314-43782019-01-01201910.1155/2019/38273603827360Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA AnalysisWen Zhang0Wu Li1Chenjie Ma2Xiaoling Wu3Xunde Li4Jin Zeng5Guangcun Deng6Yujiong Wang7Key Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western, ChinaKey Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western, ChinaKey Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western, ChinaKey Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western, ChinaWestern Institute for Food Safety and Security, 1477 Drew Avenue, Suite 101, Davis, California 95616, USAKey Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western, ChinaKey Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western, ChinaKey Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western, ChinaA large amount of dairy manure is produced annually in the Ningxia Hui Autonomous Region of China due to the increase in food-producing animal agriculture in this region. The presence of bovine-originated zoonotic, especially human, pathogenic bacteria in untreated manure poses a significant threat to the environment and to public health. However, little is known about the composition, diversity, and abundance of bacterial communities in untreated dairy manure in the Ningxia region. In this study, the microbial community structure of the dairy farm matrix was characterized through 16S rDNA sequencing. The impact of manure treatment methods on bacterial communities was also analyzed. The results showed that the microbial community in dairy manure contained both beneficial bacteria and pathogens, with Firmicutes, Bacteroidetes, Proteobacteria, Spirochaetes, and Actinobacteria as dominant phyla. The results also showed the diversity and variety of abundance of zoonotic pathogens among different matrices. The number of pathogens was found to increase significantly in the accumulated but untreated manure, which appeared to be the main matrix of dairy farms that accumulated pathogens including zoonotic pathogens. Findings from this study suggested that farm management, particularly proper treatment of manure, is essential to achieve a shift in the bacterial community composition and a reduction in the environmental load of pathogens including zoonotic pathogens.http://dx.doi.org/10.1155/2019/3827360
spellingShingle Wen Zhang
Wu Li
Chenjie Ma
Xiaoling Wu
Xunde Li
Jin Zeng
Guangcun Deng
Yujiong Wang
Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis
International Journal of Genomics
title Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis
title_full Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis
title_fullStr Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis
title_full_unstemmed Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis
title_short Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis
title_sort characterization of microbial communities in a dairy farm matrix in ningxia china by 16s rdna analysis
url http://dx.doi.org/10.1155/2019/3827360
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