Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot study
ABSTRACTThe lung microbiome plays an important role in the pathophysiological processes associated with pulmonary tuberculosis (PTB). However, only a few studies using 16S rDNA amplicon sequencing have been reported, and the interactions between Mycobacterium tuberculosis (MTB) and the lung microbio...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Emerging Microbes and Infections |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22221751.2020.1783188 |
| _version_ | 1827320723253755904 |
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| author | Yongfeng Hu Min Cheng Bo Liu Jie Dong Lilian Sun Jian Yang Fan Yang Xinchun Chen Qi Jin |
| author_facet | Yongfeng Hu Min Cheng Bo Liu Jie Dong Lilian Sun Jian Yang Fan Yang Xinchun Chen Qi Jin |
| author_sort | Yongfeng Hu |
| collection | DOAJ |
| description | ABSTRACTThe lung microbiome plays an important role in the pathophysiological processes associated with pulmonary tuberculosis (PTB). However, only a few studies using 16S rDNA amplicon sequencing have been reported, and the interactions between Mycobacterium tuberculosis (MTB) and the lung microbiome remain poorly understood. Patients with respiratory symptoms and imaging abnormalities compatible with tuberculosis (TB) were enrolled. We analyzed the lung microbiome in bronchoalveolar lavage (BAL) samples from 30 MTB-positive (MTB+) subjects and 30 MTB negative (MTB-) subjects by shotgun metagenomic sequencing. Alpha diversity tended to be lower in the MTB+ group than in the MTB- group. There was a significant difference in beta diversity between the MTB+ and MTB- subjects. MTB+ lung samples were dominated by MTB, while MTB- samples were enriched with Streptococcus, Prevotella, Nesseria, Selenomonas and Bifidobacterium, which more closely resemble the microbial composition of a healthy lung. Network analysis suggested that MTB could greatly impact the microbial community structure. MTB+ and MTB- communities showed distinct functional signatures. Fungal communities were also found to be associated with the presence or absence of MTB. Furthermore, it was confirmed that 16S rDNA amplicon sequencing underrepresents Mycobacterium. This pilot study is the first to explore the interplay between MTB and the host microbiome by using metagenomic sequencing. MTB dominates the lung microbiome of MTB+ subjects, while MTB- subjects have a Streptococcus-enriched microbiome. The 16S approach underrepresents Mycobacterium and is not the best way to study the TB-associated microbiome. |
| first_indexed | 2024-03-07T17:24:33Z |
| format | Article |
| id | doaj.art-da9175d723464b5d8930cc2dc0872961 |
| institution | Directory Open Access Journal |
| issn | 2222-1751 |
| language | English |
| last_indexed | 2024-04-25T00:52:12Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Emerging Microbes and Infections |
| spelling | doaj.art-da9175d723464b5d8930cc2dc08729612024-03-11T16:04:23ZengTaylor & Francis GroupEmerging Microbes and Infections2222-17512020-01-01911444145210.1080/22221751.2020.1783188Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot studyYongfeng Hu0Min Cheng1Bo Liu2Jie Dong3Lilian Sun4Jian Yang5Fan Yang6Xinchun Chen7Qi Jin8NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, CAMS&PUMC, Beijing, P. R. People’s Republic of ChinaChina Institute of Veterinary Drug Control, Beijing, People’s Republic of ChinaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, CAMS&PUMC, Beijing, P. R. People’s Republic of ChinaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, CAMS&PUMC, Beijing, P. R. People’s Republic of ChinaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, CAMS&PUMC, Beijing, P. R. People’s Republic of ChinaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, CAMS&PUMC, Beijing, P. R. People’s Republic of ChinaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, CAMS&PUMC, Beijing, P. R. People’s Republic of ChinaDepartment of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen, People’s Republic of ChinaNHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, CAMS&PUMC, Beijing, P. R. People’s Republic of ChinaABSTRACTThe lung microbiome plays an important role in the pathophysiological processes associated with pulmonary tuberculosis (PTB). However, only a few studies using 16S rDNA amplicon sequencing have been reported, and the interactions between Mycobacterium tuberculosis (MTB) and the lung microbiome remain poorly understood. Patients with respiratory symptoms and imaging abnormalities compatible with tuberculosis (TB) were enrolled. We analyzed the lung microbiome in bronchoalveolar lavage (BAL) samples from 30 MTB-positive (MTB+) subjects and 30 MTB negative (MTB-) subjects by shotgun metagenomic sequencing. Alpha diversity tended to be lower in the MTB+ group than in the MTB- group. There was a significant difference in beta diversity between the MTB+ and MTB- subjects. MTB+ lung samples were dominated by MTB, while MTB- samples were enriched with Streptococcus, Prevotella, Nesseria, Selenomonas and Bifidobacterium, which more closely resemble the microbial composition of a healthy lung. Network analysis suggested that MTB could greatly impact the microbial community structure. MTB+ and MTB- communities showed distinct functional signatures. Fungal communities were also found to be associated with the presence or absence of MTB. Furthermore, it was confirmed that 16S rDNA amplicon sequencing underrepresents Mycobacterium. This pilot study is the first to explore the interplay between MTB and the host microbiome by using metagenomic sequencing. MTB dominates the lung microbiome of MTB+ subjects, while MTB- subjects have a Streptococcus-enriched microbiome. The 16S approach underrepresents Mycobacterium and is not the best way to study the TB-associated microbiome.https://www.tandfonline.com/doi/10.1080/22221751.2020.1783188Lung microbiometuberculosismetagenomic analysis16S rDNAbronchoalveolar lavage |
| spellingShingle | Yongfeng Hu Min Cheng Bo Liu Jie Dong Lilian Sun Jian Yang Fan Yang Xinchun Chen Qi Jin Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot study Emerging Microbes and Infections Lung microbiome tuberculosis metagenomic analysis 16S rDNA bronchoalveolar lavage |
| title | Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot study |
| title_full | Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot study |
| title_fullStr | Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot study |
| title_full_unstemmed | Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot study |
| title_short | Metagenomic analysis of the lung microbiome in pulmonary tuberculosis - a pilot study |
| title_sort | metagenomic analysis of the lung microbiome in pulmonary tuberculosis a pilot study |
| topic | Lung microbiome tuberculosis metagenomic analysis 16S rDNA bronchoalveolar lavage |
| url | https://www.tandfonline.com/doi/10.1080/22221751.2020.1783188 |
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