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Coexistence rules for small, antagonistically interacting microbial communities

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dc.contributor.author ATHREYA, GAURAV S. en_US
dc.contributor.author Gokhale, Chaitanya S. en_US
dc.contributor.author Verma, Prateek en_US
dc.date.accessioned 2025-12-29T06:41:17Z
dc.date.available 2025-12-29T06:41:17Z
dc.date.issued 2025-12 en_US
dc.identifier.citation PLOS Computational Biology, 21(12), e1013763. en_US
dc.identifier.issn 1553-734X en_US
dc.identifier.issn 1553-7358 en_US
dc.identifier.uri https://doi.org/10.1371/journal.pcbi.1013763 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10628
dc.description.abstract The 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.iso en en_US
dc.publisher PLOS en_US
dc.subject Anti-Bacterial Agents en_US
dc.subject Biodiversity en_US
dc.subject Computational Biology en_US
dc.subject Computer Simulation en_US
dc.subject Microbial Consortia en_US
dc.subject Microbial Interactions en_US
dc.subject Microbiota en_US
dc.subject Models, Biological en_US
dc.subject 2025-DEC-WEEK4 en_US
dc.subject TOC-DEC-2025 en_US
dc.subject 2025 en_US
dc.title Coexistence rules for small, antagonistically interacting microbial communities en_US
dc.type Article en_US
dc.contributor.department Dept. of Biology en_US
dc.identifier.sourcetitle PLOS Computational Biology en_US
dc.publication.originofpublisher Foreign en_US


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