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Metabolic Modeling of Chronic Wound Microbiota Predicts Mutualistic Interactions that Drive Community Composition
AIMS: To identify putative mutualistic interactions driving community composition in polymicrobial chronic wound infections using metabolic modeling. METHODS AND RESULTS: We developed a 12 species metabolic model that covered 74% of 16S rDNA pyrosequencing reads of dominant genera from 2,963 chronic...
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| Publicat a: | J Appl Microbiol |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6790277/ https://ncbi.nlm.nih.gov/pubmed/31436369 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/jam.14421 |
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