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Adaptive laboratory evolution of antimicrobial resistance in bacteria for genetic and phenotypic analyses

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dc.contributor.author VINCHHI, RHEA en_US
dc.contributor.author JENA, CHINMAYA en_US
dc.contributor.author MATANGE, NISHAD en_US
dc.date.accessioned 2024-04-24T05:42:25Z
dc.date.available 2024-04-24T05:42:25Z
dc.date.issued 2023-03 en_US
dc.identifier.citation Star Protocol, 4(01), 102005. en_US
dc.identifier.issn 2666-1667 en_US
dc.identifier.uri https://doi.org/10.1016/j.xpro.2022.102005 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8663
dc.description.abstract Adaptive laboratory evolution (ALE) of bacteria has the potential to provide many insights like revealing novel mechanisms of resistance and elucidating the impact of drug combinations and concentrations on AMR evolution. Here, we describe a step-by-step ALE protocol for the model bacterium Escherichia coli that can be easily adapted to answer questions related to evolution and genetics of AMR in diverse bacteria. Key issues to consider when designing ALE experiments as well as some downstream mutation mapping analyses are described. For complete details on the use and execution of this protocol, please refer to Patel and Matange (2021)1 and Matange et al. (2019).2 en_US
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.subject Genetics en_US
dc.subject Sequencing en_US
dc.subject Microbiology en_US
dc.subject Model Organisms en_US
dc.subject Evolutionary biology en_US
dc.subject 2023 en_US
dc.title Adaptive laboratory evolution of antimicrobial resistance in bacteria for genetic and phenotypic analyses en_US
dc.type Article en_US
dc.contributor.department Dept. of Biology en_US
dc.identifier.sourcetitle Star Protocol en_US
dc.publication.originofpublisher Foreign en_US


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