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Mining microbial metatranscriptomes for expression of antibiotic resistance genes under natural conditions

Authors :
Versluis, D.
D'Andrea, M.M.
Ramiro Garcia, J.
Leimena, M.M.
Hugenholtz, F.
Zhang, J.
Ozturk, Basak
Nylund, L.
Sipkema, D.
van Schaik, W.
de Vos, W.M.
Kleerebezem, M.
Smidt, H.
van Passel, M.W.J.
Versluis, D.
D'Andrea, M.M.
Ramiro Garcia, J.
Leimena, M.M.
Hugenholtz, F.
Zhang, J.
Ozturk, Basak
Nylund, L.
Sipkema, D.
van Schaik, W.
de Vos, W.M.
Kleerebezem, M.
Smidt, H.
van Passel, M.W.J.
Publication Year :
2016

Abstract

We use a novel approach (an analysis of metatranscriptomics data) to study antibiotic resistance, a topic that poses major health care concerns. We investigate resistance gene expression in microbial communities in a diverse range of environments.<br />We use a novel approach (an analysis of metatranscriptomics data) to study antibiotic resistance, a topic that poses major health care concerns. We investigate resistance gene expression in microbial communities in a diverse range of environments.

Details

Database :
OAIster
Notes :
text/html
Publication Type :
Electronic Resource
Accession number :
edsoai.on1200327293
Document Type :
Electronic Resource