Seasonal variability in airborne biotic contaminants in swine confinement buildings.
Little is known about the seasonal dynamics of biotic contaminants in swine confinement buildings (SCBs). The biotic contaminants of seven SCBs were monitored during one visit in the winter and one during the summer. Paired-end Illumina sequencing of the 16S rRNA gene, V3 region, was used to examine...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4231085?pdf=render |
| _version_ | 1818305226663264256 |
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| author | Priyanka Kumari Hong L Choi |
| author_facet | Priyanka Kumari Hong L Choi |
| author_sort | Priyanka Kumari |
| collection | DOAJ |
| description | Little is known about the seasonal dynamics of biotic contaminants in swine confinement buildings (SCBs). The biotic contaminants of seven SCBs were monitored during one visit in the winter and one during the summer. Paired-end Illumina sequencing of the 16S rRNA gene, V3 region, was used to examine seasonal shifts in bacterial community composition and diversity. The abundances of 16S rRNA genes and six tetracycline resistance genes (tetB, tetH, tetZ, tetO, tetQ, and tetW) were also quantified using real-time PCR. Bacterial abundances, community composition and diversity all showed strong seasonal patterns defined by winter peaks in abundance and diversity. Microclimatic variables of SCBs, particularly air speed, PM2.5 and total suspended particles (TSP) were found significantly correlated to abundances, community composition, and diversity of bacterial bioaerosols. Seasonal fluctuations were also observed for four tetracycline resistance genes, tetH, tetO, tetQ, and tetW. The frequency of occurrences of these resistance genes were significantly higher in samples collected during winter and was also significantly correlated with air speed, PM2.5 and TSP. Overall, our results indicate that biotic contaminants in SCBs exhibit seasonal trends, and these could be associated with the microclimatic variables of SCBs. The correlations established in the current study could be helpful in establishing better management strategies to minimize the potential health impacts on both livestock and humans working in this environment. |
| first_indexed | 2024-12-13T06:23:14Z |
| format | Article |
| id | doaj.art-61a106df014d428591769fb660f87fc2 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T06:23:14Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-61a106df014d428591769fb660f87fc22022-12-21T23:56:48ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01911e11289710.1371/journal.pone.0112897Seasonal variability in airborne biotic contaminants in swine confinement buildings.Priyanka KumariHong L ChoiLittle is known about the seasonal dynamics of biotic contaminants in swine confinement buildings (SCBs). The biotic contaminants of seven SCBs were monitored during one visit in the winter and one during the summer. Paired-end Illumina sequencing of the 16S rRNA gene, V3 region, was used to examine seasonal shifts in bacterial community composition and diversity. The abundances of 16S rRNA genes and six tetracycline resistance genes (tetB, tetH, tetZ, tetO, tetQ, and tetW) were also quantified using real-time PCR. Bacterial abundances, community composition and diversity all showed strong seasonal patterns defined by winter peaks in abundance and diversity. Microclimatic variables of SCBs, particularly air speed, PM2.5 and total suspended particles (TSP) were found significantly correlated to abundances, community composition, and diversity of bacterial bioaerosols. Seasonal fluctuations were also observed for four tetracycline resistance genes, tetH, tetO, tetQ, and tetW. The frequency of occurrences of these resistance genes were significantly higher in samples collected during winter and was also significantly correlated with air speed, PM2.5 and TSP. Overall, our results indicate that biotic contaminants in SCBs exhibit seasonal trends, and these could be associated with the microclimatic variables of SCBs. The correlations established in the current study could be helpful in establishing better management strategies to minimize the potential health impacts on both livestock and humans working in this environment.http://europepmc.org/articles/PMC4231085?pdf=render |
| spellingShingle | Priyanka Kumari Hong L Choi Seasonal variability in airborne biotic contaminants in swine confinement buildings. PLoS ONE |
| title | Seasonal variability in airborne biotic contaminants in swine confinement buildings. |
| title_full | Seasonal variability in airborne biotic contaminants in swine confinement buildings. |
| title_fullStr | Seasonal variability in airborne biotic contaminants in swine confinement buildings. |
| title_full_unstemmed | Seasonal variability in airborne biotic contaminants in swine confinement buildings. |
| title_short | Seasonal variability in airborne biotic contaminants in swine confinement buildings. |
| title_sort | seasonal variability in airborne biotic contaminants in swine confinement buildings |
| url | http://europepmc.org/articles/PMC4231085?pdf=render |
| work_keys_str_mv | AT priyankakumari seasonalvariabilityinairbornebioticcontaminantsinswineconfinementbuildings AT honglchoi seasonalvariabilityinairbornebioticcontaminantsinswineconfinementbuildings |