Occupational exposure in swine farm defines human skin and nasal microbiota
Anthropogenic environments take an active part in shaping the human microbiome. Herein, we studied skin and nasal microbiota dynamics in response to the exposure in confined and controlled swine farms to decipher the impact of occupational exposure on microbiome formation. The microbiota of voluntee...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-03-01
|
| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1117866/full |
| _version_ | 1827977312915685376 |
|---|---|
| author | Xiran Wang Xiran Wang Xiran Wang Dongrui Chen Dongrui Chen Dongrui Chen Juan Du Juan Du Juan Du Ke Cheng Chang Fang Chang Fang Chang Fang Xiaoping Liao Xiaoping Liao Xiaoping Liao Yahong Liu Yahong Liu Yahong Liu Jian Sun Jian Sun Jian Sun Xinlei Lian Xinlei Lian Hao Ren Hao Ren |
| author_facet | Xiran Wang Xiran Wang Xiran Wang Dongrui Chen Dongrui Chen Dongrui Chen Juan Du Juan Du Juan Du Ke Cheng Chang Fang Chang Fang Chang Fang Xiaoping Liao Xiaoping Liao Xiaoping Liao Yahong Liu Yahong Liu Yahong Liu Jian Sun Jian Sun Jian Sun Xinlei Lian Xinlei Lian Hao Ren Hao Ren |
| author_sort | Xiran Wang |
| collection | DOAJ |
| description | Anthropogenic environments take an active part in shaping the human microbiome. Herein, we studied skin and nasal microbiota dynamics in response to the exposure in confined and controlled swine farms to decipher the impact of occupational exposure on microbiome formation. The microbiota of volunteers was longitudinally profiled in a 9-months survey, in which the volunteers underwent occupational exposure during 3-month internships in swine farms. By high-throughput sequencing, we showed that occupational exposure compositionally and functionally reshaped the volunteers’ skin and nasal microbiota. The exposure in farm A reduced the microbial diversity of skin and nasal microbiota, whereas the microbiota of skin and nose increased after exposure in farm B. The exposure in different farms resulted in compositionally different microbial patterns, as the abundance of Actinobacteria sharply increased at expense of Firmicutes after exposure in farm A, yet Proteobacteria became the most predominant in the volunteers in farm B. The remodeled microbiota composition due to exposure in farm A appeared to stall and persist, whereas the microbiota of volunteers in farm B showed better resilience to revert to the pre-exposure state within 9 months after the exposure. Several metabolic pathways, for example, the styrene, aminobenzoate, and N-glycan biosynthesis, were significantly altered through our PICRUSt analysis, and notably, the function of beta-lactam resistance was predicted to enrich after exposure in farm A yet decrease in farm B. We proposed that the differently modified microbiota patterns might be coordinated by microbial and non-microbial factors in different swine farms, which were always environment-specific. This study highlights the active role of occupational exposure in defining the skin and nasal microbiota and sheds light on the dynamics of microbial patterns in response to environmental conversion. |
| first_indexed | 2024-04-09T21:02:58Z |
| format | Article |
| id | doaj.art-573a9490c0bb4602b87a8c9d9c6013e6 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-04-09T21:02:58Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-573a9490c0bb4602b87a8c9d9c6013e62023-03-29T06:04:07ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2023-03-011410.3389/fmicb.2023.11178661117866Occupational exposure in swine farm defines human skin and nasal microbiotaXiran Wang0Xiran Wang1Xiran Wang2Dongrui Chen3Dongrui Chen4Dongrui Chen5Juan Du6Juan Du7Juan Du8Ke Cheng9Chang Fang10Chang Fang11Chang Fang12Xiaoping Liao13Xiaoping Liao14Xiaoping Liao15Yahong Liu16Yahong Liu17Yahong Liu18Jian Sun19Jian Sun20Jian Sun21Xinlei Lian22Xinlei Lian23Hao Ren24Hao Ren25Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaJiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou, ChinaGuangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaJiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou, ChinaGuangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaJiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou, ChinaGuangxi State Farms Yongxin Jinguang Animal Husbandry Group Co., Ltd, Nanning, ChinaGuangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaJiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou, ChinaGuangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaJiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou, ChinaGuangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaJiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou, ChinaGuangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaJiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou, ChinaGuangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaGuangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Veterinary Pharmaceutics, Development and Safety Evaluation, South China Agricultural University, Guangzhou, ChinaAnthropogenic environments take an active part in shaping the human microbiome. Herein, we studied skin and nasal microbiota dynamics in response to the exposure in confined and controlled swine farms to decipher the impact of occupational exposure on microbiome formation. The microbiota of volunteers was longitudinally profiled in a 9-months survey, in which the volunteers underwent occupational exposure during 3-month internships in swine farms. By high-throughput sequencing, we showed that occupational exposure compositionally and functionally reshaped the volunteers’ skin and nasal microbiota. The exposure in farm A reduced the microbial diversity of skin and nasal microbiota, whereas the microbiota of skin and nose increased after exposure in farm B. The exposure in different farms resulted in compositionally different microbial patterns, as the abundance of Actinobacteria sharply increased at expense of Firmicutes after exposure in farm A, yet Proteobacteria became the most predominant in the volunteers in farm B. The remodeled microbiota composition due to exposure in farm A appeared to stall and persist, whereas the microbiota of volunteers in farm B showed better resilience to revert to the pre-exposure state within 9 months after the exposure. Several metabolic pathways, for example, the styrene, aminobenzoate, and N-glycan biosynthesis, were significantly altered through our PICRUSt analysis, and notably, the function of beta-lactam resistance was predicted to enrich after exposure in farm A yet decrease in farm B. We proposed that the differently modified microbiota patterns might be coordinated by microbial and non-microbial factors in different swine farms, which were always environment-specific. This study highlights the active role of occupational exposure in defining the skin and nasal microbiota and sheds light on the dynamics of microbial patterns in response to environmental conversion.https://www.frontiersin.org/articles/10.3389/fmicb.2023.1117866/fulloccupational exposurehuman microbiotamicrobial diversityswine farmlongitudinal investigation |
| spellingShingle | Xiran Wang Xiran Wang Xiran Wang Dongrui Chen Dongrui Chen Dongrui Chen Juan Du Juan Du Juan Du Ke Cheng Chang Fang Chang Fang Chang Fang Xiaoping Liao Xiaoping Liao Xiaoping Liao Yahong Liu Yahong Liu Yahong Liu Jian Sun Jian Sun Jian Sun Xinlei Lian Xinlei Lian Hao Ren Hao Ren Occupational exposure in swine farm defines human skin and nasal microbiota Frontiers in Microbiology occupational exposure human microbiota microbial diversity swine farm longitudinal investigation |
| title | Occupational exposure in swine farm defines human skin and nasal microbiota |
| title_full | Occupational exposure in swine farm defines human skin and nasal microbiota |
| title_fullStr | Occupational exposure in swine farm defines human skin and nasal microbiota |
| title_full_unstemmed | Occupational exposure in swine farm defines human skin and nasal microbiota |
| title_short | Occupational exposure in swine farm defines human skin and nasal microbiota |
| title_sort | occupational exposure in swine farm defines human skin and nasal microbiota |
| topic | occupational exposure human microbiota microbial diversity swine farm longitudinal investigation |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1117866/full |
| work_keys_str_mv | AT xiranwang occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT xiranwang occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT xiranwang occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT dongruichen occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT dongruichen occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT dongruichen occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT juandu occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT juandu occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT juandu occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT kecheng occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT changfang occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT changfang occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT changfang occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT xiaopingliao occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT xiaopingliao occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT xiaopingliao occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT yahongliu occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT yahongliu occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT yahongliu occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT jiansun occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT jiansun occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT jiansun occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT xinleilian occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT xinleilian occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT haoren occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota AT haoren occupationalexposureinswinefarmdefineshumanskinandnasalmicrobiota |