Competition on the edge of an expanding population
In growing populations, the fate of mutations depends on their competitive ability against the ancestor and their ability to colonize new territory. Here we present a theory that integrates both aspects of mutant fitness by coupling the classic description of one-dimensional competition (Fisher equa...
Gespeichert in:
Veröffentlicht in: | ArXiv.org 2023-01 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | ArXiv.org |
container_volume | |
creator | Swartz, Daniel W Lee, Hyunseok Kardar, Mehran Korolev, Kirill S |
description | In growing populations, the fate of mutations depends on their competitive ability against the ancestor and their ability to colonize new territory. Here we present a theory that integrates both aspects of mutant fitness by coupling the classic description of one-dimensional competition (Fisher equation) to the minimal model of front shape (KPZ equation). We solved these equations and found three regimes, which are controlled solely by the expansion rates, solely by the competitive abilities, or by both. Collectively, our results provide a simple framework to study spatial competition. |
format | Article |
fullrecord | <record><control><sourceid>pubmed</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9882578</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>36713251</sourcerecordid><originalsourceid>FETCH-LOGICAL-p788-830189d580f3307e78b5ddb43a35386267a1df8568a35d0e262cf86e15e2b2f3</originalsourceid><addsrcrecordid>eNpVj91KxDAQhYMg7rLuK0heoJDMbJLZG0GKf7CwF3pf0k3SjbRpaLuib2_FHxQGBs4583HmjC0BURa0AViw9Ti-CCFAG1AKL9gCtZEISi4ZlH2X_RSn2Cc-z3T03LvG8z5wm7h_yza5mBqe-3xq7Wfskp0H245-_b1X7Onu9rl8KHb7-8fyZldkQ1QQCklbp0gERGG8oVo5V2_QokLScxcrXSClaRac8KDhEEh7qTzUEHDFrr-o-VR33h18mgbbVnmInR3eq97G6r-T4rFq-tdqSwTK0Ay4-gv4vfz5HT8AA9FVfQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Competition on the edge of an expanding population</title><source>Free E- Journals</source><creator>Swartz, Daniel W ; Lee, Hyunseok ; Kardar, Mehran ; Korolev, Kirill S</creator><creatorcontrib>Swartz, Daniel W ; Lee, Hyunseok ; Kardar, Mehran ; Korolev, Kirill S</creatorcontrib><description>In growing populations, the fate of mutations depends on their competitive ability against the ancestor and their ability to colonize new territory. Here we present a theory that integrates both aspects of mutant fitness by coupling the classic description of one-dimensional competition (Fisher equation) to the minimal model of front shape (KPZ equation). We solved these equations and found three regimes, which are controlled solely by the expansion rates, solely by the competitive abilities, or by both. Collectively, our results provide a simple framework to study spatial competition.</description><identifier>EISSN: 2331-8422</identifier><identifier>PMID: 36713251</identifier><language>eng</language><publisher>United States: Cornell University</publisher><ispartof>ArXiv.org, 2023-01</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36713251$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Swartz, Daniel W</creatorcontrib><creatorcontrib>Lee, Hyunseok</creatorcontrib><creatorcontrib>Kardar, Mehran</creatorcontrib><creatorcontrib>Korolev, Kirill S</creatorcontrib><title>Competition on the edge of an expanding population</title><title>ArXiv.org</title><addtitle>ArXiv</addtitle><description>In growing populations, the fate of mutations depends on their competitive ability against the ancestor and their ability to colonize new territory. Here we present a theory that integrates both aspects of mutant fitness by coupling the classic description of one-dimensional competition (Fisher equation) to the minimal model of front shape (KPZ equation). We solved these equations and found three regimes, which are controlled solely by the expansion rates, solely by the competitive abilities, or by both. Collectively, our results provide a simple framework to study spatial competition.</description><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpVj91KxDAQhYMg7rLuK0heoJDMbJLZG0GKf7CwF3pf0k3SjbRpaLuib2_FHxQGBs4583HmjC0BURa0AViw9Ti-CCFAG1AKL9gCtZEISi4ZlH2X_RSn2Cc-z3T03LvG8z5wm7h_yza5mBqe-3xq7Wfskp0H245-_b1X7Onu9rl8KHb7-8fyZldkQ1QQCklbp0gERGG8oVo5V2_QokLScxcrXSClaRac8KDhEEh7qTzUEHDFrr-o-VR33h18mgbbVnmInR3eq97G6r-T4rFq-tdqSwTK0Ay4-gv4vfz5HT8AA9FVfQ</recordid><startdate>20230118</startdate><enddate>20230118</enddate><creator>Swartz, Daniel W</creator><creator>Lee, Hyunseok</creator><creator>Kardar, Mehran</creator><creator>Korolev, Kirill S</creator><general>Cornell University</general><scope>NPM</scope><scope>5PM</scope></search><sort><creationdate>20230118</creationdate><title>Competition on the edge of an expanding population</title><author>Swartz, Daniel W ; Lee, Hyunseok ; Kardar, Mehran ; Korolev, Kirill S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p788-830189d580f3307e78b5ddb43a35386267a1df8568a35d0e262cf86e15e2b2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Swartz, Daniel W</creatorcontrib><creatorcontrib>Lee, Hyunseok</creatorcontrib><creatorcontrib>Kardar, Mehran</creatorcontrib><creatorcontrib>Korolev, Kirill S</creatorcontrib><collection>PubMed</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>ArXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Swartz, Daniel W</au><au>Lee, Hyunseok</au><au>Kardar, Mehran</au><au>Korolev, Kirill S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Competition on the edge of an expanding population</atitle><jtitle>ArXiv.org</jtitle><addtitle>ArXiv</addtitle><date>2023-01-18</date><risdate>2023</risdate><eissn>2331-8422</eissn><abstract>In growing populations, the fate of mutations depends on their competitive ability against the ancestor and their ability to colonize new territory. Here we present a theory that integrates both aspects of mutant fitness by coupling the classic description of one-dimensional competition (Fisher equation) to the minimal model of front shape (KPZ equation). We solved these equations and found three regimes, which are controlled solely by the expansion rates, solely by the competitive abilities, or by both. Collectively, our results provide a simple framework to study spatial competition.</abstract><cop>United States</cop><pub>Cornell University</pub><pmid>36713251</pmid></addata></record> |
fulltext | fulltext |
identifier | EISSN: 2331-8422 |
ispartof | ArXiv.org, 2023-01 |
issn | 2331-8422 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9882578 |
source | Free E- Journals |
title | Competition on the edge of an expanding population |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T08%3A54%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubmed&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Competition%20on%20the%20edge%20of%20an%20expanding%20population&rft.jtitle=ArXiv.org&rft.au=Swartz,%20Daniel%20W&rft.date=2023-01-18&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cpubmed%3E36713251%3C/pubmed%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/36713251&rfr_iscdi=true |