Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8663
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dc.contributor.authorVINCHHI, RHEAen_US
dc.contributor.authorJENA, CHINMAYAen_US
dc.contributor.authorMATANGE, NISHADen_US
dc.date.accessioned2024-04-24T05:42:25Z-
dc.date.available2024-04-24T05:42:25Z-
dc.date.issued2023-03en_US
dc.identifier.citationStar Protocol, 4(01), 102005.en_US
dc.identifier.issn2666-1667en_US
dc.identifier.urihttps://doi.org/10.1016/j.xpro.2022.102005en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8663-
dc.description.abstractAdaptive 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).2en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.subjectGeneticsen_US
dc.subjectSequencingen_US
dc.subjectMicrobiologyen_US
dc.subjectModel Organismsen_US
dc.subjectEvolutionary biologyen_US
dc.subject2023en_US
dc.titleAdaptive laboratory evolution of antimicrobial resistance in bacteria for genetic and phenotypic analysesen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Biologyen_US
dc.identifier.sourcetitleStar Protocolen_US
dc.publication.originofpublisherForeignen_US
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