Population genetics on islands connected by an arbitrary network: An analytic approach

We analyse a model consisting of a population of individuals which is subdivided into a finite set of demes, each of which has a fixed but differing number of individuals. The individuals can reproduce, die and migrate between the demes according to an arbitrary migration network. They are haploid,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of theoretical biology 2014-10, Vol.358, p.149-165
Hauptverfasser: Constable, George W.A., McKane, Alan J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 165
container_issue
container_start_page 149
container_title Journal of theoretical biology
container_volume 358
creator Constable, George W.A.
McKane, Alan J.
description We analyse a model consisting of a population of individuals which is subdivided into a finite set of demes, each of which has a fixed but differing number of individuals. The individuals can reproduce, die and migrate between the demes according to an arbitrary migration network. They are haploid, with two alleles present in the population; frequency-independent selection is also incorporated, where the strength and direction of selection can vary from deme to deme. The system is formulated as an individual-based model and the diffusion approximation systematically applied to express it as a set of nonlinear coupled stochastic differential equations. These can be made amenable to analysis through the elimination of fast-time variables. The resulting reduced model is analysed in a number of situations, including migration–selection balance leading to a polymorphic equilibrium of the two alleles and an illustration of how the subdivision of the population can lead to non-trivial behaviour in the case where the network is a simple hub. The method we develop is systematic, may be applied to any network, and agrees well with the results of simulations in all cases studied and across a wide range of parameter values. •Migration is modelled for organisms on demes connected by an arbitrary network.•This individual based model is simplified via the diffusion approximation.•A method of obtaining a one-dimensional effective theory is presented.•The fixation time and probability are calculated from the effective system.•Migration–selection balance and a specific hub topology are investigated.
doi_str_mv 10.1016/j.jtbi.2014.05.033
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1639993509</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0022519314003063</els_id><sourcerecordid>1551610282</sourcerecordid><originalsourceid>FETCH-LOGICAL-c389t-64770ac3ba4e711264430c7164466fab18f5ae049680239490aba4a29a5598083</originalsourceid><addsrcrecordid>eNqFkD1PwzAURS0EglL4AwzII0vC82dsxIIQX1IlGIDVchwXXNKk2Cmo_x5XBUaYnmWde_18EDoiUBIg8nRWzoY6lBQIL0GUwNgWGhHQolCCk200AqC0EESzPbSf0gwANGdyF-1RrhStNIzQ80O_WLZ2CH2HX3znh-ASzueQWts1Cbu-67wbfIPrFbYdtrEOQ7RxhTP72ce3M3yRbzvbrnIU28Ui9ta9HqCdqW2TP_yeY_R0ffV4eVtM7m_uLi8mhWNKD4XkVQXWsdpyXxFCJecMXEXylHJqa6KmwnrgWiqgTHMNNqOWaiuEVqDYGJ1sevOz70ufBjMPyfk2L-_7ZTJEMq01E6D_R4UgkgBVNKN0g7rYpxT91CximOdPGwJmrd7MzFq9Was3IExWn0PH3_3Leu6b38iP6wycbwCfhXwEH01ywXfONyFmxabpw1_9XztUk5E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1551610282</pqid></control><display><type>article</type><title>Population genetics on islands connected by an arbitrary network: An analytic approach</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Constable, George W.A. ; McKane, Alan J.</creator><creatorcontrib>Constable, George W.A. ; McKane, Alan J.</creatorcontrib><description>We analyse a model consisting of a population of individuals which is subdivided into a finite set of demes, each of which has a fixed but differing number of individuals. The individuals can reproduce, die and migrate between the demes according to an arbitrary migration network. They are haploid, with two alleles present in the population; frequency-independent selection is also incorporated, where the strength and direction of selection can vary from deme to deme. The system is formulated as an individual-based model and the diffusion approximation systematically applied to express it as a set of nonlinear coupled stochastic differential equations. These can be made amenable to analysis through the elimination of fast-time variables. The resulting reduced model is analysed in a number of situations, including migration–selection balance leading to a polymorphic equilibrium of the two alleles and an illustration of how the subdivision of the population can lead to non-trivial behaviour in the case where the network is a simple hub. The method we develop is systematic, may be applied to any network, and agrees well with the results of simulations in all cases studied and across a wide range of parameter values. •Migration is modelled for organisms on demes connected by an arbitrary network.•This individual based model is simplified via the diffusion approximation.•A method of obtaining a one-dimensional effective theory is presented.•The fixation time and probability are calculated from the effective system.•Migration–selection balance and a specific hub topology are investigated.</description><identifier>ISSN: 0022-5193</identifier><identifier>EISSN: 1095-8541</identifier><identifier>DOI: 10.1016/j.jtbi.2014.05.033</identifier><identifier>PMID: 24882790</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Fast-mode reduction ; Genetics, Population ; Islands ; Metapopulation ; Migration ; Models, Theoretical ; Moran model ; Selection</subject><ispartof>Journal of theoretical biology, 2014-10, Vol.358, p.149-165</ispartof><rights>2014 Elsevier Ltd</rights><rights>Copyright © 2014 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-64770ac3ba4e711264430c7164466fab18f5ae049680239490aba4a29a5598083</citedby><cites>FETCH-LOGICAL-c389t-64770ac3ba4e711264430c7164466fab18f5ae049680239490aba4a29a5598083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jtbi.2014.05.033$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3549,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24882790$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Constable, George W.A.</creatorcontrib><creatorcontrib>McKane, Alan J.</creatorcontrib><title>Population genetics on islands connected by an arbitrary network: An analytic approach</title><title>Journal of theoretical biology</title><addtitle>J Theor Biol</addtitle><description>We analyse a model consisting of a population of individuals which is subdivided into a finite set of demes, each of which has a fixed but differing number of individuals. The individuals can reproduce, die and migrate between the demes according to an arbitrary migration network. They are haploid, with two alleles present in the population; frequency-independent selection is also incorporated, where the strength and direction of selection can vary from deme to deme. The system is formulated as an individual-based model and the diffusion approximation systematically applied to express it as a set of nonlinear coupled stochastic differential equations. These can be made amenable to analysis through the elimination of fast-time variables. The resulting reduced model is analysed in a number of situations, including migration–selection balance leading to a polymorphic equilibrium of the two alleles and an illustration of how the subdivision of the population can lead to non-trivial behaviour in the case where the network is a simple hub. The method we develop is systematic, may be applied to any network, and agrees well with the results of simulations in all cases studied and across a wide range of parameter values. •Migration is modelled for organisms on demes connected by an arbitrary network.•This individual based model is simplified via the diffusion approximation.•A method of obtaining a one-dimensional effective theory is presented.•The fixation time and probability are calculated from the effective system.•Migration–selection balance and a specific hub topology are investigated.</description><subject>Fast-mode reduction</subject><subject>Genetics, Population</subject><subject>Islands</subject><subject>Metapopulation</subject><subject>Migration</subject><subject>Models, Theoretical</subject><subject>Moran model</subject><subject>Selection</subject><issn>0022-5193</issn><issn>1095-8541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkD1PwzAURS0EglL4AwzII0vC82dsxIIQX1IlGIDVchwXXNKk2Cmo_x5XBUaYnmWde_18EDoiUBIg8nRWzoY6lBQIL0GUwNgWGhHQolCCk200AqC0EESzPbSf0gwANGdyF-1RrhStNIzQ80O_WLZ2CH2HX3znh-ASzueQWts1Cbu-67wbfIPrFbYdtrEOQ7RxhTP72ce3M3yRbzvbrnIU28Ui9ta9HqCdqW2TP_yeY_R0ffV4eVtM7m_uLi8mhWNKD4XkVQXWsdpyXxFCJecMXEXylHJqa6KmwnrgWiqgTHMNNqOWaiuEVqDYGJ1sevOz70ufBjMPyfk2L-_7ZTJEMq01E6D_R4UgkgBVNKN0g7rYpxT91CximOdPGwJmrd7MzFq9Was3IExWn0PH3_3Leu6b38iP6wycbwCfhXwEH01ywXfONyFmxabpw1_9XztUk5E</recordid><startdate>20141007</startdate><enddate>20141007</enddate><creator>Constable, George W.A.</creator><creator>McKane, Alan J.</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20141007</creationdate><title>Population genetics on islands connected by an arbitrary network: An analytic approach</title><author>Constable, George W.A. ; McKane, Alan J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-64770ac3ba4e711264430c7164466fab18f5ae049680239490aba4a29a5598083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Fast-mode reduction</topic><topic>Genetics, Population</topic><topic>Islands</topic><topic>Metapopulation</topic><topic>Migration</topic><topic>Models, Theoretical</topic><topic>Moran model</topic><topic>Selection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Constable, George W.A.</creatorcontrib><creatorcontrib>McKane, Alan J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Journal of theoretical biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Constable, George W.A.</au><au>McKane, Alan J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Population genetics on islands connected by an arbitrary network: An analytic approach</atitle><jtitle>Journal of theoretical biology</jtitle><addtitle>J Theor Biol</addtitle><date>2014-10-07</date><risdate>2014</risdate><volume>358</volume><spage>149</spage><epage>165</epage><pages>149-165</pages><issn>0022-5193</issn><eissn>1095-8541</eissn><abstract>We analyse a model consisting of a population of individuals which is subdivided into a finite set of demes, each of which has a fixed but differing number of individuals. The individuals can reproduce, die and migrate between the demes according to an arbitrary migration network. They are haploid, with two alleles present in the population; frequency-independent selection is also incorporated, where the strength and direction of selection can vary from deme to deme. The system is formulated as an individual-based model and the diffusion approximation systematically applied to express it as a set of nonlinear coupled stochastic differential equations. These can be made amenable to analysis through the elimination of fast-time variables. The resulting reduced model is analysed in a number of situations, including migration–selection balance leading to a polymorphic equilibrium of the two alleles and an illustration of how the subdivision of the population can lead to non-trivial behaviour in the case where the network is a simple hub. The method we develop is systematic, may be applied to any network, and agrees well with the results of simulations in all cases studied and across a wide range of parameter values. •Migration is modelled for organisms on demes connected by an arbitrary network.•This individual based model is simplified via the diffusion approximation.•A method of obtaining a one-dimensional effective theory is presented.•The fixation time and probability are calculated from the effective system.•Migration–selection balance and a specific hub topology are investigated.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>24882790</pmid><doi>10.1016/j.jtbi.2014.05.033</doi><tpages>17</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0022-5193
ispartof Journal of theoretical biology, 2014-10, Vol.358, p.149-165
issn 0022-5193
1095-8541
language eng
recordid cdi_proquest_miscellaneous_1639993509
source MEDLINE; ScienceDirect Journals (5 years ago - present)
subjects Fast-mode reduction
Genetics, Population
Islands
Metapopulation
Migration
Models, Theoretical
Moran model
Selection
title Population genetics on islands connected by an arbitrary network: An analytic approach
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T03%3A46%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Population%20genetics%20on%20islands%20connected%20by%20an%20arbitrary%20network:%20An%20analytic%20approach&rft.jtitle=Journal%20of%20theoretical%20biology&rft.au=Constable,%20George%20W.A.&rft.date=2014-10-07&rft.volume=358&rft.spage=149&rft.epage=165&rft.pages=149-165&rft.issn=0022-5193&rft.eissn=1095-8541&rft_id=info:doi/10.1016/j.jtbi.2014.05.033&rft_dat=%3Cproquest_cross%3E1551610282%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1551610282&rft_id=info:pmid/24882790&rft_els_id=S0022519314003063&rfr_iscdi=true