Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10628
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dc.contributor.authorATHREYA, GAURAV S.en_US
dc.contributor.authorGokhale, Chaitanya S.en_US
dc.contributor.authorVerma, Prateeken_US
dc.date.accessioned2025-12-29T06:41:17Z-
dc.date.available2025-12-29T06:41:17Z-
dc.date.issued2025-12en_US
dc.identifier.citationPLOS Computational Biology, 21(12), e1013763.en_US
dc.identifier.issn1553-734Xen_US
dc.identifier.issn1553-7358en_US
dc.identifier.urihttps://doi.org/10.1371/journal.pcbi.1013763en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10628-
dc.description.abstractThe coexistence of diverse microbial communities despite the common presence of antimicrobial weapons presents a fundamental puzzle in ecology. To address this issue, we investigate the role of antibiotic-mediated interactions in driving microbial diversity using methods from graph theory and theoretical ecology. Our exhaustive analysis of small interaction graphs involving antibiotic production, resistance, and degradation reveals that two factors together determine whether an interaction pattern can support coexistence or not: a certain producer-sensitive-degrader (PSD) motif is critical, and a form of cyclicity between the action of different antibiotics is necessary. Using individual-based simulations, we also explore the role of the PSD motif in spatially structured populations and demonstrate that community coexistence is robust over a wide range of antibiotic and degrader diffusivities. Our findings provide a deeper understanding of the interaction patterns that drive diversity in complex microbial communities. Specifically, we emphasize how antagonism does not preclude biodiversity. These results offer clear pathways for cultivating synthetic microbial consortia, enabling the design of more effective strategies for manipulating microbial communities.en_US
dc.language.isoenen_US
dc.publisherPLOSen_US
dc.subjectAnti-Bacterial Agentsen_US
dc.subjectBiodiversityen_US
dc.subjectComputational Biologyen_US
dc.subjectComputer Simulationen_US
dc.subjectMicrobial Consortiaen_US
dc.subjectMicrobial Interactionsen_US
dc.subjectMicrobiotaen_US
dc.subjectModels, Biologicalen_US
dc.subject2025-DEC-WEEK4en_US
dc.subjectTOC-DEC-2025en_US
dc.subject2025en_US
dc.titleCoexistence rules for small, antagonistically interacting microbial communitiesen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Biologyen_US
dc.identifier.sourcetitlePLOS Computational Biologyen_US
dc.publication.originofpublisherForeignen_US
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