Emergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortia

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dc.citation.articleNumbere1009381en_US
dc.citation.issueNumber9en_US
dc.citation.journalTitlePLOS Computational Biologyen_US
dc.citation.volumeNumber17en_US
dc.contributor.authorWinkle, James J.en_US
dc.contributor.authorKaramched, Bhargav R.en_US
dc.contributor.authorBennett, Matthew R.en_US
dc.contributor.authorOtt, Williamen_US
dc.contributor.authorJosić, Krešimiren_US
dc.date.accessioned2021-10-18T14:34:19Zen_US
dc.date.available2021-10-18T14:34:19Zen_US
dc.date.issued2021en_US
dc.description.abstractThe increased complexity of synthetic microbial biocircuits highlights the need for distributed cell functionality due to concomitant increases in metabolic and regulatory burdens imposed on single-strain topologies. Distributed systems, however, introduce additional challenges since consortium composition and spatiotemporal dynamics of constituent strains must be robustly controlled to achieve desired circuit behaviors. Here, we address these challenges with a modeling-based investigation of emergent spatiotemporal population dynamics using cell-length control in monolayer, two-strain bacterial consortia. We demonstrate that with dynamic control of a strain’s division length, nematic cell alignment in close-packed monolayers can be destabilized. We find that this destabilization confers an emergent, competitive advantage to smaller-length strains—but by mechanisms that differ depending on the spatial patterns of the population. We used complementary modeling approaches to elucidate underlying mechanisms: an agent-based model to simulate detailed mechanical and signaling interactions between the competing strains, and a reductive, stochastic lattice model to represent cell-cell interactions with a single rotational parameter. Our modeling suggests that spatial strain-fraction oscillations can be generated when cell-length control is coupled to quorum-sensing signaling in negative feedback topologies. Our research employs novel methods of population control and points the way to programming strain fraction dynamics in consortial synthetic biology.en_US
dc.identifier.citationWinkle, James J., Karamched, Bhargav R., Bennett, Matthew R., et al.. "Emergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortia." <i>PLOS Computational Biology,</i> 17, no. 9 (2021) Public Library of Science: https://doi.org/10.1371/journal.pcbi.1009381.en_US
dc.identifier.digitaljournal-pcbi-1009381en_US
dc.identifier.doihttps://doi.org/10.1371/journal.pcbi.1009381en_US
dc.identifier.urihttps://hdl.handle.net/1911/111548en_US
dc.language.isoengen_US
dc.publisherPublic Library of Scienceen_US
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleEmergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortiaen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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