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dc.contributor.authorCastledine, M
dc.contributor.authorNewbury, A
dc.contributor.authorLewis, R
dc.contributor.authorHacker, C
dc.contributor.authorMeaden, S
dc.contributor.authorBuckling, A
dc.date.accessioned2024-08-27T15:20:15Z
dc.date.issued2023-04-06
dc.date.updated2024-08-27T13:59:54Z
dc.description.abstractBacteriophages ("phages") are hypothesized to be key drivers of bacterial population dynamics, driving microbial community composition, but empirical support for this is mixed. One reason why phages may have a less-than-expected impact on community composition is that many different phages and other mobile genetic elements (MGEs) interact with each bacterium. For instance, the same phage may have higher or lower costs to different bacterial strains or species. Assuming that resistance or susceptibility to MGE infection is not consistent across all MGEs, a simple prediction is that the net effect of MGEs on each bacterial taxon may converge with an increasing number of interactions with different MGEs. We formalized this prediction using in silico population dynamics simulations and then carried out experiments using three bacterial species, one generalist conjugative plasmid, and three species-specific phages. While the presence of only phages or only the plasmid altered community structure, these differential effects on community structure canceled out when both were together. The effects of MGEs were largely indirect and could not be explained by simple pairwise bipartite interactions (i.e., between each MGE and each bacterial species). Our results suggest that the effects of MGEs may be overestimated by studies that focus on a single MGE and not on interactions among multiple MGEs. IMPORTANCE While bacteriophages ("phages") are often cited as some of the key drivers of microbial diversity, evidence for this is greatly mixed. We demonstrate, in silico and experimentally, that the impact of phages, an example of a mobile genetic element (MGE), on community structure can diminish with increasing MGE diversity. This is because MGEs can have diverse effects on host fitness, and therefore as diversity increases, their individual effects cancel out, returning communities back to an MGE-free state. In addition, interactions in mixed-species and MGE communities could not be predicted from simple pairwise interactions, highlighting the difficulty in generalizing a MGE's effect from pairwise studies.en_GB
dc.description.sponsorshipMedical Research Council (MRC)en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationVol. 14(2), article e0046023en_GB
dc.identifier.doihttps://doi.org/10.1128/mbio.00460-23
dc.identifier.grantnumberMR/N0137941/1en_GB
dc.identifier.grantnumber842656en_GB
dc.identifier.grantnumberNE/V012347/1en_GB
dc.identifier.grantnumberNE/S000771/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/137268
dc.identifierORCID: 0000-0003-1170-4604 (Buckling, Angus)
dc.language.isoenen_GB
dc.publisherAmerican Society for Microbiologyen_GB
dc.relation.urlhttps://github.com/mcastledine96/Multiple_MGEs_effects_mBio_2023en_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/37022158en_GB
dc.rights© 2023 Castledine et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International licenseen_GB
dc.subjectbacteriophagesen_GB
dc.subjectindirect interactionsen_GB
dc.subjectmicrobial communitiesen_GB
dc.subjectmobile genetic elementsen_GB
dc.subjectplasmidsen_GB
dc.subject“kill the winner” dynamicsen_GB
dc.titleAntagonistic Mobile Genetic Elements Can Counteract Each Other's Effects on Microbial Community Compositionen_GB
dc.typeArticleen_GB
dc.date.available2024-08-27T15:20:15Z
dc.contributor.editorZambrano, MM
dc.identifier.issn2161-2129
exeter.place-of-publicationUnited States
dc.descriptionThis is the final version. Available on open access from the American Society for Microbiology via the DOI in this recorden_GB
dc.descriptionData accessibility statement. All data and R codes used in the analysis will be made available on GitHub (https://github.com/mcastledine96/Multiple_MGEs_effects_mBio_2023). Assemblies and sequencing data are available from ENA under accession no. PRJEB55820.en_GB
dc.identifier.eissn2150-7511
dc.identifier.journalmBioen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-03-09
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-04-06
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-08-27T15:17:37Z
refterms.versionFCDVoR
refterms.dateFOA2024-08-27T15:20:22Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-04-06


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© 2023 Castledine et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license
Except where otherwise noted, this item's licence is described as © 2023 Castledine et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license