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Resistance variation and bacterial interactions shape adaptation of a genetically diverse pathogen population to antibiotic therapy

2026-02-26Artigo de investigação Acesso aberto
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dc.contributor.authorBatra, Aditi
dc.contributor.authorTueffers, Leif
dc.contributor.authorHaas, Kira
dc.contributor.authorLoeblein, Tabea
dc.contributor.authorBotelho, João
dc.contributor.authorHabig, Michael
dc.contributor.authorSchuetz, Daniel
dc.contributor.authorSakalyte, Gabija
dc.contributor.authorBuchholz, Florian
dc.contributor.authorBerríos-Caro, Ernesto
dc.contributor.authorUecker, Hildegard
dc.contributor.authorUnterweger, Daniel
dc.contributor.authorSchulenburg, Hinrich
dc.date.accessioned2026-03-18T11:23:44Z
dc.date.available2026-03-18T11:23:44Z
dc.date.issued2026-02-26
dc.description.abstractAntimicrobial resistance poses a major threat to global human health. The emergence and spread of antimicrobial resistance is usually studied for single pathogen lineages. Therefore, we currently have only limited knowledge on the causes and dynamics of resistance evolution in polymicrobial or multi-strain infections that involve different pathogen species or strains, respectively, even though these kinds of infections are widespread. To address these current knowledge gaps, we here used the opportunistic human pathogen Pseudomonas aeruginosa as a model to investigate how antimicrobial resistance evolves in populations with different genetically distinct strains (multi-strain communities). By using controlled evolution experiments, extensive phenotyping and genome sequence analysis, we demonstrate that the response to antibiotic selection is shaped by a combination of strain-specific resistance profiles, ecological interactions between strains, and metapopulation structure. Moreover, the likelihood of de novo resistance evolution varied in dependence on mutation rates for resistance. A second independent evolution experiment emphasized the central role of strain variation and strain-strain interactions during adaptation. We conclude that antimicrobial resistance evolution in genetically diverse pathogen populations is driven by the interplay of ecological and evolutionary dynamics, thus deserving particular attention during treatment of polymicrobial infections.eng
dc.identifier.citationBatra, A., Tueffers, L., Haas, K., Loeblein, T., Botelho, J., Habig, M., Schuetz, D., Sakalyte, G., Buchholz, F., Berríos-Caro, E., Uecker, H., Unterweger, D., & Schulenburg, H. (2026). Resistance variation and bacterial interactions shape adaptation of a genetically diverse pathogen population to antibiotic therapy. ISME Journal, 20(1), Article wrag039. https://doi.org/10.1093/ismejo/wrag039
dc.identifier.doi10.1093/ismejo/wrag039
dc.identifier.issn1751-7362
dc.identifier.other48c2a640-1561-49ff-91d4-3dd482248764
dc.identifier.pmid41744059
dc.identifier.urihttp://hdl.handle.net/10400.14/57371
dc.language.isoeng
dc.peerreviewedyes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAntimicrobial resistance evolution
dc.subjectEcoevolutionary feedback
dc.subjectEvolution experiment
dc.subjectPolymicrobial infection
dc.subjectPseudomonas aeruginosa
dc.titleResistance variation and bacterial interactions shape adaptation of a genetically diverse pathogen population to antibiotic therapyeng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.titleISME Journal
oaire.citation.volume20
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa

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