Theoretical understanding of evolutionary dynamics on inhomogeneous networks

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dc.citation.articleNumber036003en_US
dc.citation.issueNumber3en_US
dc.citation.journalTitlePhysical Biologyen_US
dc.citation.volumeNumber20en_US
dc.contributor.authorTeimouri, Hamiden_US
dc.contributor.authorKhavas, Dorsa Sattarien_US
dc.contributor.authorSpaulding, Cadeen_US
dc.contributor.authorLi, Christopheren_US
dc.contributor.authorKolomeisky, Anatoly B.en_US
dc.contributor.orgCenter for Theoretical Biological Physicsen_US
dc.date.accessioned2023-07-18T16:29:40Zen_US
dc.date.available2023-07-18T16:29:40Zen_US
dc.date.issued2023en_US
dc.description.abstractEvolution is the main feature of all biological systems that allows populations to change their characteristics over successive generations. A powerful approach to understand evolutionary dynamics is to investigate fixation probabilities and fixation times of novel mutations on networks that mimic biological populations. It is now well established that the structure of such networks can have dramatic effects on evolutionary dynamics. In particular, there are population structures that might amplify the fixation probabilities while simultaneously delaying the fixation events. However, the microscopic origins of such complex evolutionary dynamics remain not well understood. We present here a theoretical investigation of the microscopic mechanisms of mutation fixation processes on inhomogeneous networks. It views evolutionary dynamics as a set of stochastic transitions between discrete states specified by different numbers of mutated cells. By specifically considering star networks, we obtain a comprehensive description of evolutionary dynamics. Our approach allows us to employ physics-inspired free-energy landscape arguments to explain the observed trends in fixation times and fixation probabilities, providing a better microscopic understanding of evolutionary dynamics in complex systems.en_US
dc.identifier.citationTeimouri, Hamid, Khavas, Dorsa Sattari, Spaulding, Cade, et al.. "Theoretical understanding of evolutionary dynamics on inhomogeneous networks." <i>Physical Biology,</i> 20, no. 3 (2023) IOP Publishing: https://doi.org/10.1088/1478-3975/accb36.en_US
dc.identifier.doihttps://doi.org/10.1088/1478-3975/accb36en_US
dc.identifier.urihttps://hdl.handle.net/1911/114938en_US
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.rightsThis work is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the work beyond the bounds of Fair Use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.titleTheoretical understanding of evolutionary dynamics on inhomogeneous networksen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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