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

Joint Authors

Li, Wu
Wang, Yujiong
Ma, Chenjie
Zhang, Wen
Wu, Xiaoling
Li, Xunde
Zeng, Jin
Deng, Guangcun

Source

International Journal of Genomics

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-09-08

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Biology

Abstract EN

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.

American Psychological Association (APA)

Zhang, Wen& Li, Wu& Ma, Chenjie& Wu, Xiaoling& Li, Xunde& Zeng, Jin…[et al.]. 2019. Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis. International Journal of Genomics،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1165584

Modern Language Association (MLA)

Zhang, Wen…[et al.]. Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis. International Journal of Genomics No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1165584

American Medical Association (AMA)

Zhang, Wen& Li, Wu& Ma, Chenjie& Wu, Xiaoling& Li, Xunde& Zeng, Jin…[et al.]. Characterization of Microbial Communities in a Dairy Farm Matrix in Ningxia, China, by 16S rDNA Analysis. International Journal of Genomics. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1165584

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1165584