| RRC ID |
66754
|
| 著者 |
Valentini TD, Lucas SK, Binder KA, Cameron LC, Motl JA, Dunitz JM, Hunter RC.
|
| タイトル |
Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota.
|
| ジャーナル |
Nat Commun
|
| Abstract |
Culture-independent studies of cystic fibrosis lung microbiota have provided few mechanistic insights into the polymicrobial basis of disease. Deciphering the specific contributions of individual taxa to CF pathogenesis requires comprehensive understanding of their ecophysiology at the site of infection. We hypothesize that only a subset of CF microbiota are translationally active and that these activities vary between subjects. Here, we apply bioorthogonal non-canonical amino acid tagging (BONCAT) to visualize and quantify bacterial translational activity in expectorated sputum. We report that the percentage of BONCAT-labeled (i.e. active) bacterial cells varies substantially between subjects (6-56%). We use fluorescence-activated cell sorting (FACS) and genomic sequencing to assign taxonomy to BONCAT-labeled cells. While many abundant taxa are indeed active, most bacterial species detected by conventional molecular profiling show a mixed population of both BONCAT-labeled and unlabeled cells, suggesting heterogeneous growth rates in sputum. Differentiating translationally active subpopulations adds to our evolving understanding of CF lung disease and may help guide antibiotic therapies targeting bacteria most likely to be susceptible.
|
| 巻・号 |
11(1)
|
| ページ |
2287
|
| 公開日 |
2020-5-8
|
| DOI |
10.1038/s41467-020-16163-2
|
| PII |
10.1038/s41467-020-16163-2
|
| PMID |
32385294
|
| PMC |
PMC7210995
|
| MeSH |
Amino Acids / metabolism*
Bacteria / classification
Cystic Fibrosis / microbiology*
Humans
Lung / microbiology*
Microbiota*
Protein Biosynthesis*
Pseudomonas aeruginosa / physiology
Sputum / microbiology
|
| リソース情報 |
| 一般微生物 |
JCM10910 |
