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The use of MEGA as an educational tool for examining the phylogeny of antibiotic resistance genes

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dc.contributor.author Ryan, Michael P.
dc.contributor.author Adley, Catherine C.
dc.contributor.author Pembroke, Tony J.
dc.date.accessioned 2017-04-10T13:22:01Z
dc.date.available 2017-04-10T13:22:01Z
dc.date.issued 2013
dc.identifier.uri http://hdl.handle.net/10344/5676
dc.description peer-reviewed en_US
dc.description.abstract The free availability of online software to undertake molecular evolutionary analysis coupled with the availability of large amounts of sequence data has made the analysis and evolution of antibiotic resistance determinants amenable in an educational context. Software such as MEGA (Molecular Evolutionary Genetics Analysis) [1] can be utilised to extract useful evolutionary information from nucleotide and protein sequence databases with a focus on antibiotic resistance determinants. The utility of this resource is illustrated here using the antibiotic resistance genes sulII and dhfR18 which are resistance determinants for sulfamethoxazole and trimethoprim found associated with Integrative Conjugative Elements (ICE’s) of the SXT/R391 family of bacterial mobile genetic elements [2, 3]. Using a stepwise tutorial with MEGA the genes are examined using both DNA and protein sequences showing the utility of this software for such analysis in an evolutionary context. These examples are aimed at demonstrating the utility of the software for undergraduate and early postgraduate students en_US
dc.language.iso eng en_US
dc.publisher Formatex en_US
dc.relation.ispartofseries Microbial Pathogens and Strategies for Combating Them: Science, Technology and Education, Méndez-Vilas, A (ed);chapter 4, pp. 736-743
dc.subject antibiotic resistance genes en_US
dc.subject educational tool en_US
dc.title The use of MEGA as an educational tool for examining the phylogeny of antibiotic resistance genes en_US
dc.type info:eu-repo/semantics/bookPart en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.date.updated 2017-04-06T15:46:03Z
dc.description.version PUBLISHED
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1556380
dc.internal.copyrightchecked Yes
dc.description.status Peer reviewed


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