Data from: Combined analysis of variation in core, accessory and regulatory genome regions provides a super-resolution view into the evolution of bacterial populations

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dc.contributor.affiliationUniversity of Birmingham - McNally, Alan
dc.contributor.affiliationTel Aviv University - Oren, Yaara
dc.contributor.affiliationNational University of Ireland, Maynooth - Kelly, Darren
dc.contributor.affiliationSwansea University - Pascoe, Ben
dc.contributor.affiliationNottingham Trent University - Dunn, Steven
dc.contributor.affiliationNottingham Trent University - Seecharan, Tristan
dc.contributor.affiliationUniversity of Helsinki - Vehkala, Minna
dc.contributor.affiliationUniversity of Helsinki - Välimäki, Niko
dc.contributor.affiliationUniversity College Cork - Prentice, Michael B.
dc.contributor.affiliationUniversity College Cork - Ashour, Amgad
dc.contributor.affiliationTel Aviv University - Avram, Oren
dc.contributor.affiliationTel Aviv University - Pupko, Tal
dc.contributor.affiliationInstitute of Hygiene, Universitat Muenster, Muenster, Germany* - Dobrindt, Ulrich
dc.contributor.affiliationUniversity of Veterinary and Pharmaceutical Sciences - Literak, Ivan
dc.contributor.affiliationFreie Universität Berlin - Guenther, Sebastian
dc.contributor.affiliationFreie Universität Berlin - Schauffler, Katharina
dc.contributor.affiliationRobert Koch Institute - Wieler, Lothar H.
dc.contributor.affiliationWest China Hospital of Sichuan University - Zhiyong, Zong
dc.contributor.affiliationSwansea University - Sheppard, Samuel K.
dc.contributor.affiliationUniversity of Manchester - McInerney, James O.
dc.contributor.affiliationUniversity of Helsinki - Corander, Jukka
dc.contributor.affiliationNottingham Trent University - Sreecharan, Tristan
dc.contributor.authorMcNally, Alan
dc.contributor.authorOren, Yaara
dc.contributor.authorKelly, Darren
dc.contributor.authorPascoe, Ben
dc.contributor.authorDunn, Steven
dc.contributor.authorSeecharan, Tristan
dc.contributor.authorVehkala, Minna
dc.contributor.authorVälimäki, Niko
dc.contributor.authorPrentice, Michael B.
dc.contributor.authorAshour, Amgad
dc.contributor.authorAvram, Oren
dc.contributor.authorPupko, Tal
dc.contributor.authorDobrindt, Ulrich
dc.contributor.authorLiterak, Ivan
dc.contributor.authorGuenther, Sebastian
dc.contributor.authorSchauffler, Katharina
dc.contributor.authorWieler, Lothar H.
dc.contributor.authorZhiyong, Zong
dc.contributor.authorSheppard, Samuel K.
dc.contributor.authorMcInerney, James O.
dc.contributor.authorCorander, Jukka
dc.contributor.authorSreecharan, Tristan
dc.date.accessioned2025-03-24T15:21:29Z
dc.date.issued2017-08-25
dc.date.issued2017-08-25
dc.descriptionThe use of whole-genome phylogenetic analysis has revolutionized our understanding of the evolution and spread of many important bacterial pathogens due to the high resolution view it provides. However, the majority of such analyses do not consider the potential role of accessory genes when inferring evolutionary trajectories. Moreover, the recently discovered importance of the switching of gene regulatory elements suggests that an exhaustive analysis, combining information from core and accessory genes with regulatory elements could provide unparalleled detail of the evolution of a bacterial population. Here we demonstrate this principle by applying it to a worldwide multi-host sample of the important pathogenic E. coli lineage ST131. Our approach reveals the existence of multiple circulating subtypes of the major drug–resistant clade of ST131 and provides the first ever population level evidence of core genome substitutions in gene regulatory regions associated with the acquisition and maintenance of different accessory genome elements.
dc.identifierhttps://doi.org/10.5061/dryad.d7d71
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/10924
dc.rightsOpen
dc.rights.licensecc-zero
dc.subjectmulti-drug resistance
dc.subjectrecombination
dc.subjectaccessory genome
dc.titleData from: Combined analysis of variation in core, accessory and regulatory genome regions provides a super-resolution view into the evolution of bacterial populations
dc.typedataset
dc.typedataset

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