Ecology of Pathogens and Antibiotic-resistant Bacteria in Environments: Challenges and Opportunities
Author:
Affiliation:
1. Department of Soil, Water, and Climate, University of Minnesota
2. BioTechnology Institute, University of Minnesota
Publisher
Japanese Society of Microbial Ecology
Subject
Plant Science,Soil Science,General Medicine,Ecology, Evolution, Behavior and Systematics
Link
https://www.jstage.jst.go.jp/article/jsme2/34/1/34_ME3401rh/_pdf
Reference60 articles.
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2. 2. Arango-Argoty, G., E. Garner, A. Pruden, L.S. Heath, P. Vikesland, and L. Zhang. 2018. DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data. Microbiome. 6:23.
3. 3. Assawatheptawee, K., U. Tansawai, A. Kiddee, P. Thongngen, P. Punyadi, T. Romgaew, P. Kongthai, T. Sumpradit, and P.R. Niumsup. 2017. Occurrence of extended-spectrum and ampc-type β-lactamase genes in Escherichia coli isolated from water environments in northern thailand. Microbes Environ. 32:293-296.
4. 4. Berendonk, T.U., C.M. Manaia, C. Merlin, et al. 2015. Tackling antibiotic resistance: The environmental framework. Nat Rev Microbiol. 13:310-317.
5. 5. Bien, T.L.T., N.V. Thao, S.-I. Kitamura, Y. Obayashi, and S. Suzuki. 2017. Release and constancy of an antibiotic resistance gene in seawater under grazing stress by ciliates and heterotrophic nanoflagellates. Microbes Environ. 32:174-179.
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