Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig House
Fine particulate matter (PM<sub>2.5</sub>) can carry numerous substances and penetrate deep into the respiratory tract due to its small particle size; associated harmful microorganisms are suspected to increase health risks for humans and animals. To find out the microbial compositions o...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/13/6/1058 |
| _version_ | 1797613965307543552 |
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| author | Miao Wang Siyi Peng Dongru Liu Dingbiao Long Zuohua Liu Shihua Pu |
| author_facet | Miao Wang Siyi Peng Dongru Liu Dingbiao Long Zuohua Liu Shihua Pu |
| author_sort | Miao Wang |
| collection | DOAJ |
| description | Fine particulate matter (PM<sub>2.5</sub>) can carry numerous substances and penetrate deep into the respiratory tract due to its small particle size; associated harmful microorganisms are suspected to increase health risks for humans and animals. To find out the microbial compositions of PM<sub>2.5</sub> in piggeries, their interaction and traceability, we collected PM<sub>2.5</sub> samples from a piggery while continuously monitoring the environmental indicators. We also identified pathogenic bacteria and allergens in the samples using high-throughput sequencing technology. We analyzed the microbial differences of PM<sub>2.5</sub> samples at different heights and during different times of day and investigated the microbial dynamics among the PM<sub>2.5</sub> samples. To better understand the interaction between microorganisms and environmental factors among different microbial communities, we applied the network analysis method to identify the correlation among various variables. Finally, SourceTracker, a commonly used microbial traceability tool, was used to predict the source of airborne microorganisms in the pig house. We identified 14 potential pathogenic bacteria and 5 allergens from PM<sub>2.5</sub> in the pig houses, of which <i>Acinetobacter</i> was the dominant bacterium in all samples (relative abundance > 1%), which warrants attention. We found that bacteria and fungi directly affected the the microbial community. The bacterial community mainly played a positive role in the microbial community. Environmental variables mainly indirectly and positively affected microbial abundance. In the SourceTracker analysis using fecal matter and feed as sources and PM<sub>2.5</sub> sample as sink, we found that fecal matter made the greatest contribution to both bacterial and fungal components of PM<sub>2.5</sub>. Our findings provide important insights into the potential risks of pathogens in PM<sub>2.5</sub> to human and animal health and their main sources. |
| first_indexed | 2024-03-11T07:02:00Z |
| format | Article |
| id | doaj.art-db5ff29c12fd40e98c7b5b405bca2629 |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-03-11T07:02:00Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj.art-db5ff29c12fd40e98c7b5b405bca26292023-11-17T09:11:45ZengMDPI AGAnimals2076-26152023-03-01136105810.3390/ani13061058Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig HouseMiao Wang0Siyi Peng1Dongru Liu2Dingbiao Long3Zuohua Liu4Shihua Pu5College of Animal Science and Technology, Southwest University, Chongqing 402460, ChinaCollege of Animal Science and Technology, Southwest University, Chongqing 402460, ChinaCollege of Animal Science and Technology, Southwest University, Chongqing 402460, ChinaChongqing Academy of Animal Sciences, Changlong Avenue, Chongqing 402460, ChinaCollege of Animal Science and Technology, Southwest University, Chongqing 402460, ChinaChongqing Academy of Animal Sciences, Changlong Avenue, Chongqing 402460, ChinaFine particulate matter (PM<sub>2.5</sub>) can carry numerous substances and penetrate deep into the respiratory tract due to its small particle size; associated harmful microorganisms are suspected to increase health risks for humans and animals. To find out the microbial compositions of PM<sub>2.5</sub> in piggeries, their interaction and traceability, we collected PM<sub>2.5</sub> samples from a piggery while continuously monitoring the environmental indicators. We also identified pathogenic bacteria and allergens in the samples using high-throughput sequencing technology. We analyzed the microbial differences of PM<sub>2.5</sub> samples at different heights and during different times of day and investigated the microbial dynamics among the PM<sub>2.5</sub> samples. To better understand the interaction between microorganisms and environmental factors among different microbial communities, we applied the network analysis method to identify the correlation among various variables. Finally, SourceTracker, a commonly used microbial traceability tool, was used to predict the source of airborne microorganisms in the pig house. We identified 14 potential pathogenic bacteria and 5 allergens from PM<sub>2.5</sub> in the pig houses, of which <i>Acinetobacter</i> was the dominant bacterium in all samples (relative abundance > 1%), which warrants attention. We found that bacteria and fungi directly affected the the microbial community. The bacterial community mainly played a positive role in the microbial community. Environmental variables mainly indirectly and positively affected microbial abundance. In the SourceTracker analysis using fecal matter and feed as sources and PM<sub>2.5</sub> sample as sink, we found that fecal matter made the greatest contribution to both bacterial and fungal components of PM<sub>2.5</sub>. Our findings provide important insights into the potential risks of pathogens in PM<sub>2.5</sub> to human and animal health and their main sources.https://www.mdpi.com/2076-2615/13/6/1058particular mattermicroorganismnetwork analysismicrobial traceability |
| spellingShingle | Miao Wang Siyi Peng Dongru Liu Dingbiao Long Zuohua Liu Shihua Pu Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig House Animals particular matter microorganism network analysis microbial traceability |
| title | Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig House |
| title_full | Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig House |
| title_fullStr | Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig House |
| title_full_unstemmed | Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig House |
| title_short | Characteristics and Traceability Analysis of Microbial Assemblage in Fine Particulate Matter from a Pig House |
| title_sort | characteristics and traceability analysis of microbial assemblage in fine particulate matter from a pig house |
| topic | particular matter microorganism network analysis microbial traceability |
| url | https://www.mdpi.com/2076-2615/13/6/1058 |
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