{"external_id":{"isi":["000591317200004"]},"publication":"PLOS Computational Biology","issue":"11","title":"The Moran process on 2-chromatic graphs","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","month":"11","language":[{"iso":"eng"}],"oa_version":"Published Version","date_created":"2020-11-18T07:20:23Z","publisher":"Public Library of Science","date_published":"2020-11-05T00:00:00Z","type":"journal_article","publication_status":"published","file_date_updated":"2020-11-18T07:26:10Z","status":"public","intvolume":"        16","abstract":[{"lang":"eng","text":"Resources are rarely distributed uniformly within a population. Heterogeneity in the concentration of a drug, the quality of breeding sites, or wealth can all affect evolutionary dynamics. In this study, we represent a collection of properties affecting the fitness at a given location using a color. A green node is rich in resources while a red node is poorer. More colors can represent a broader spectrum of resource qualities. For a population evolving according to the birth-death Moran model, the first question we address is which structures, identified by graph connectivity and graph coloring, are evolutionarily equivalent. We prove that all properly two-colored, undirected, regular graphs are evolutionarily equivalent (where “properly colored” means that no two neighbors have the same color). We then compare the effects of background heterogeneity on properly two-colored graphs to those with alternative schemes in which the colors are permuted. Finally, we discuss dynamic coloring as a model for spatiotemporal resource fluctuations, and we illustrate that random dynamic colorings often diminish the effects of background heterogeneity relative to a proper two-coloring."}],"article_processing_charge":"No","quality_controlled":"1","day":"05","acknowledgement":"We thank Igor Erovenko for many helpful comments on an earlier version of this paper. : Army Research Laboratory (grant W911NF-18-2-0265) (M.A.N.); the Bill & Melinda Gates Foundation (grant OPP1148627) (M.A.N.); the NVIDIA Corporation (A.M.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","citation":{"mla":"Kaveh, Kamran, et al. “The Moran Process on 2-Chromatic Graphs.” <i>PLOS Computational Biology</i>, vol. 16, no. 11, e1008402, Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1008402\">10.1371/journal.pcbi.1008402</a>.","ista":"Kaveh K, McAvoy A, Chatterjee K, Nowak MA. 2020. The Moran process on 2-chromatic graphs. PLOS Computational Biology. 16(11), e1008402.","chicago":"Kaveh, Kamran, Alex McAvoy, Krishnendu Chatterjee, and Martin A. Nowak. “The Moran Process on 2-Chromatic Graphs.” <i>PLOS Computational Biology</i>. Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1008402\">https://doi.org/10.1371/journal.pcbi.1008402</a>.","ieee":"K. Kaveh, A. McAvoy, K. Chatterjee, and M. A. Nowak, “The Moran process on 2-chromatic graphs,” <i>PLOS Computational Biology</i>, vol. 16, no. 11. Public Library of Science, 2020.","ama":"Kaveh K, McAvoy A, Chatterjee K, Nowak MA. The Moran process on 2-chromatic graphs. <i>PLOS Computational Biology</i>. 2020;16(11). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1008402\">10.1371/journal.pcbi.1008402</a>","apa":"Kaveh, K., McAvoy, A., Chatterjee, K., &#38; Nowak, M. A. (2020). The Moran process on 2-chromatic graphs. <i>PLOS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1008402\">https://doi.org/10.1371/journal.pcbi.1008402</a>","short":"K. Kaveh, A. McAvoy, K. Chatterjee, M.A. Nowak, PLOS Computational Biology 16 (2020)."},"department":[{"_id":"KrCh"}],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"date_updated":"2023-08-22T12:49:18Z","keyword":["Ecology","Modelling and Simulation","Computational Theory and Mathematics","Genetics","Ecology","Evolution","Behavior and Systematics","Molecular Biology","Cellular and Molecular Neuroscience"],"doi":"10.1371/journal.pcbi.1008402","volume":16,"oa":1,"ddc":["000"],"article_type":"original","isi":1,"publication_identifier":{"issn":["1553-734X"],"eissn":["1553-7358"]},"scopus_import":"1","article_number":"e1008402","year":"2020","_id":"8767","author":[{"last_name":"Kaveh","full_name":"Kaveh, Kamran","first_name":"Kamran"},{"first_name":"Alex","last_name":"McAvoy","full_name":"McAvoy, Alex"},{"full_name":"Chatterjee, Krishnendu","last_name":"Chatterjee","orcid":"0000-0002-4561-241X","first_name":"Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Nowak, Martin A.","last_name":"Nowak","first_name":"Martin A."}],"has_accepted_license":"1","file":[{"file_id":"8768","date_created":"2020-11-18T07:26:10Z","relation":"main_file","checksum":"555456dd0e47bcf9e0994bcb95577e88","file_name":"2020_PlosCompBio_Kaveh.pdf","content_type":"application/pdf","access_level":"open_access","file_size":2498594,"success":1,"date_updated":"2020-11-18T07:26:10Z","creator":"dernst"}]}