Combined 16S and Internal Transcribed Spacer analysis revealed the effect of time on microbial community in animal house

ABSTRACT: The outbreak of COVID-19 reminds people that aerosols have an important impact on health. The concentration and composition of microbial aerosol in livestock and poultry houses are closely related to the environmental conditions of livestock and poultry houses, and also related to the heal...

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Main Authors: Bo Wu, Cheng Lou, Zhuo Chen, Tongjie Chai, Hui Yu
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Poultry Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0032579123005588
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author Bo Wu
Cheng Lou
Zhuo Chen
Tongjie Chai
Hui Yu
author_facet Bo Wu
Cheng Lou
Zhuo Chen
Tongjie Chai
Hui Yu
author_sort Bo Wu
collection DOAJ
description ABSTRACT: The outbreak of COVID-19 reminds people that aerosols have an important impact on health. The concentration and composition of microbial aerosol in livestock and poultry houses are closely related to the environmental conditions of livestock and poultry houses, and also related to the healthy growth of livestock and poultry. In our study, 16S and ITS sequencing techniques were used to analyze the relation and difference of bacteria and fungi in the air samples of a chicken house. At the age of 7 to 42 d, the operation classification unit (OTU) numbers of bacteria and fungi identified in our results were 2,398 and 986, respectively, of which the shared OTU numbers were 410 and 141, respectively. At the phylum level, Firmicutes, Proteobacteria, and Actinomycetes were the 3 most abundant bacterial phyla, and Ascomycetes and Basidiomycetes were the top 2 phyla in fungi. At the genus level, 7 differential fungal genera were identified, including Debaryomyces, Trichosporon, Wallemia, Aspergillus, Nigrospora, Fusarium, and Vishniacozyma. Compared with other bacterial genera, Lactobacillus, Cetobacterium, and Romboutsia had the highest abundance (more than 5%). The result showed that the Alpha diversity and Beta diversity of fungi were significantly different in different growing periods. However, only Beta diversity showed significant differences among bacteria. In general, the bacterial and fungal diversity of microbial aerosols in the chicken house increased significantly at the age of 7 to 42 d. And the evenness and richness of airborne fungal communities also increased obviously. In a word, we must pay attention to the complex community composition in the chicken house, this is closely related to animal health and the health of surrounding residents. The cooperation and communication between bacteria and fungi in PM2.5 samples provides a new reference to analyze the influence of microbial aerosol.
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spelling doaj.art-28e68bb6533741ca84d707e79c6ffc412023-10-14T04:43:54ZengElsevierPoultry Science0032-57912023-11-0110211103039Combined 16S and Internal Transcribed Spacer analysis revealed the effect of time on microbial community in animal houseBo Wu0Cheng Lou1Zhuo Chen2Tongjie Chai3Hui Yu4Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225 ChinaGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225 ChinaGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225 ChinaCollege of Veterinary Medicine, Shandong Agricultural University, 61 Daizong Road, Tai'an, Shandong Province 271000, ChinaGuangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225 China; Corresponding author:ABSTRACT: The outbreak of COVID-19 reminds people that aerosols have an important impact on health. The concentration and composition of microbial aerosol in livestock and poultry houses are closely related to the environmental conditions of livestock and poultry houses, and also related to the healthy growth of livestock and poultry. In our study, 16S and ITS sequencing techniques were used to analyze the relation and difference of bacteria and fungi in the air samples of a chicken house. At the age of 7 to 42 d, the operation classification unit (OTU) numbers of bacteria and fungi identified in our results were 2,398 and 986, respectively, of which the shared OTU numbers were 410 and 141, respectively. At the phylum level, Firmicutes, Proteobacteria, and Actinomycetes were the 3 most abundant bacterial phyla, and Ascomycetes and Basidiomycetes were the top 2 phyla in fungi. At the genus level, 7 differential fungal genera were identified, including Debaryomyces, Trichosporon, Wallemia, Aspergillus, Nigrospora, Fusarium, and Vishniacozyma. Compared with other bacterial genera, Lactobacillus, Cetobacterium, and Romboutsia had the highest abundance (more than 5%). The result showed that the Alpha diversity and Beta diversity of fungi were significantly different in different growing periods. However, only Beta diversity showed significant differences among bacteria. In general, the bacterial and fungal diversity of microbial aerosols in the chicken house increased significantly at the age of 7 to 42 d. And the evenness and richness of airborne fungal communities also increased obviously. In a word, we must pay attention to the complex community composition in the chicken house, this is closely related to animal health and the health of surrounding residents. The cooperation and communication between bacteria and fungi in PM2.5 samples provides a new reference to analyze the influence of microbial aerosol.http://www.sciencedirect.com/science/article/pii/S0032579123005588PM2.5chickenbacterial communityfungal community
spellingShingle Bo Wu
Cheng Lou
Zhuo Chen
Tongjie Chai
Hui Yu
Combined 16S and Internal Transcribed Spacer analysis revealed the effect of time on microbial community in animal house
Poultry Science
PM2.5
chicken
bacterial community
fungal community
title Combined 16S and Internal Transcribed Spacer analysis revealed the effect of time on microbial community in animal house
title_full Combined 16S and Internal Transcribed Spacer analysis revealed the effect of time on microbial community in animal house
title_fullStr Combined 16S and Internal Transcribed Spacer analysis revealed the effect of time on microbial community in animal house
title_full_unstemmed Combined 16S and Internal Transcribed Spacer analysis revealed the effect of time on microbial community in animal house
title_short Combined 16S and Internal Transcribed Spacer analysis revealed the effect of time on microbial community in animal house
title_sort combined 16s and internal transcribed spacer analysis revealed the effect of time on microbial community in animal house
topic PM2.5
chicken
bacterial community
fungal community
url http://www.sciencedirect.com/science/article/pii/S0032579123005588
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