Full-length 16S rRNA gene sequencing and machine learning reveal the bacterial composition of inhalable particles from two different breeding stages in a piggery

Full-length 16S rRNA gene sequencing and machine learning reveal the bacterial composition of inhalable particles from two different breeding stages in a piggery

Bacterial loading aggravates the harm of particulate matter (PM) to public health and ecological systems, especially in operations of concentrated animal production. This study aimed to explore the characteristics and influencing factors of bacterial components of inhalable particles at a piggery. T...

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Bibliographic Details
Main Authors: Siyi Peng, Min Luo, Dingbiao Long, Zuohua Liu, Qiong Tan, Ping Huang, Jie Shen, Shihua Pu
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Inhalable particles
Piggery
Full-length 16 S rRNA
Bacteria morphology
Potential source
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651323002166

Internet

http://www.sciencedirect.com/science/article/pii/S0147651323002166

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