skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Improved annotation of antibiotic resistance determinants reveals microbial resistomes cluster by ecology

The ISME Journal, 2015-01, Vol.9 (1), p.207-216 [Peer Reviewed Journal]

Copyright Nature Publishing Group Jan 2015 ;Copyright © 2015 International Society for Microbial Ecology 2015 International Society for Microbial Ecology ;ISSN: 1751-7362 ;EISSN: 1751-7370 ;DOI: 10.1038/ismej.2014.106 ;PMID: 25003965

Full text available

Citations Cited by
  • Title:
    Improved annotation of antibiotic resistance determinants reveals microbial resistomes cluster by ecology
  • Author: Gibson, Molly K ; Forsberg, Kevin J ; Dantas, Gautam
  • Subjects: Anti-Bacterial Agents - pharmacology ; Bacteria - drug effects ; Bacteria - genetics ; Base Sequence ; Drug Resistance, Bacterial - genetics ; Ecology ; Humans ; Metagenomics ; Original ; Phylogeny ; Soil Microbiology
  • Is Part Of: The ISME Journal, 2015-01, Vol.9 (1), p.207-216
  • Description: Antibiotic resistance is a dire clinical problem with important ecological dimensions. While antibiotic resistance in human pathogens continues to rise at alarming rates, the impact of environmental resistance on human health is still unclear. To investigate the relationship between human-associated and environmental resistomes, we analyzed functional metagenomic selections for resistance against 18 clinically relevant antibiotics from soil and human gut microbiota as well as a set of multidrug-resistant cultured soil isolates. These analyses were enabled by Resfams, a new curated database of protein families and associated highly precise and accurate profile hidden Markov models, confirmed for antibiotic resistance function and organized by ontology. We demonstrate that the antibiotic resistance functions that give rise to the resistance profiles observed in environmental and human-associated microbial communities significantly differ between ecologies. Antibiotic resistance functions that most discriminate between ecologies provide resistance to β-lactams and tetracyclines, two of the most widely used classes of antibiotics in the clinic and agriculture. We also analyzed the antibiotic resistance gene composition of over 6000 sequenced microbial genomes, revealing significant enrichment of resistance functions by both ecology and phylogeny. Together, our results indicate that environmental and human-associated microbial communities harbor distinct resistance genes, suggesting that antibiotic resistance functions are largely constrained by ecology.
  • Publisher: England: Nature Publishing Group
  • Language: English
  • Identifier: ISSN: 1751-7362
    EISSN: 1751-7370
    DOI: 10.1038/ismej.2014.106
    PMID: 25003965
  • Source: AUTh Library subscriptions: ProQuest Central
    MEDLINE
    PubMed Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait