A stochastic model for the development of Bateson–Dobzhansky–Muller incompatibilities that incorporates protein interaction networks
Speciation is characterized by the development of reproductive isolating barriers between diverging groups. Intrinsic post-zygotic barriers of the type envisioned by Bateson, Dobzhansky, and Muller are deleterious epistatic interactions among loci that reduce hybrid fitness, leading to reproductive...
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Veröffentlicht in: | Mathematical biosciences 2012-07, Vol.238 (1), p.49-53 |
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description | Speciation is characterized by the development of reproductive isolating barriers between diverging groups. Intrinsic post-zygotic barriers of the type envisioned by Bateson, Dobzhansky, and Muller are deleterious epistatic interactions among loci that reduce hybrid fitness, leading to reproductive isolation. The first formal population genetic model of the development of these barriers was published by Orr in 1995, and here we develop a more general model of this process by incorporating finite protein–protein interaction networks, which reduce the probability of deleterious interactions in vivo. Our model shows that the development of deleterious interactions is limited by the density of the protein–protein interaction network. We have confirmed our analytical predictions of the number of possible interactions given the number of allele substitutions by using simulations on the Saccharomyces cerevisiae protein–protein interaction network. These results allow us to define the rate at which deleterious interactions are expected to form, and hence the speciation rate, for any protein–protein interaction network. |
doi_str_mv | 10.1016/j.mbs.2012.03.006 |
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Intrinsic post-zygotic barriers of the type envisioned by Bateson, Dobzhansky, and Muller are deleterious epistatic interactions among loci that reduce hybrid fitness, leading to reproductive isolation. The first formal population genetic model of the development of these barriers was published by Orr in 1995, and here we develop a more general model of this process by incorporating finite protein–protein interaction networks, which reduce the probability of deleterious interactions in vivo. Our model shows that the development of deleterious interactions is limited by the density of the protein–protein interaction network. We have confirmed our analytical predictions of the number of possible interactions given the number of allele substitutions by using simulations on the Saccharomyces cerevisiae protein–protein interaction network. 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All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-41a827f6618de5170de06373dbe9d331101951c93fa297ca03f686ca31d557433</citedby><cites>FETCH-LOGICAL-c451t-41a827f6618de5170de06373dbe9d331101951c93fa297ca03f686ca31d557433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0025556412000491$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22465838$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Livingstone, Kevin</creatorcontrib><creatorcontrib>Olofsson, Peter</creatorcontrib><creatorcontrib>Cochran, Garner</creatorcontrib><creatorcontrib>Dagilis, Andrius</creatorcontrib><creatorcontrib>MacPherson, Karen</creatorcontrib><creatorcontrib>Seitz, Kerry A.</creatorcontrib><title>A stochastic model for the development of Bateson–Dobzhansky–Muller incompatibilities that incorporates protein interaction networks</title><title>Mathematical biosciences</title><addtitle>Math Biosci</addtitle><description>Speciation is characterized by the development of reproductive isolating barriers between diverging groups. Intrinsic post-zygotic barriers of the type envisioned by Bateson, Dobzhansky, and Muller are deleterious epistatic interactions among loci that reduce hybrid fitness, leading to reproductive isolation. The first formal population genetic model of the development of these barriers was published by Orr in 1995, and here we develop a more general model of this process by incorporating finite protein–protein interaction networks, which reduce the probability of deleterious interactions in vivo. Our model shows that the development of deleterious interactions is limited by the density of the protein–protein interaction network. We have confirmed our analytical predictions of the number of possible interactions given the number of allele substitutions by using simulations on the Saccharomyces cerevisiae protein–protein interaction network. These results allow us to define the rate at which deleterious interactions are expected to form, and hence the speciation rate, for any protein–protein interaction network.</description><subject>Bateson–Dobzhansky–Muller interactions</subject><subject>Computer Simulation</subject><subject>Genetic Speciation</subject><subject>Models, Genetic</subject><subject>Models, Statistical</subject><subject>Protein Interaction Maps</subject><subject>Protein–protein interaction networks</subject><subject>Reproductive incompatibility</subject><subject>Reproductive Isolation</subject><subject>Saccharomyces cerevisiae - genetics</subject><subject>Saccharomyces cerevisiae Proteins - chemistry</subject><subject>Saccharomyces cerevisiae Proteins - genetics</subject><subject>Speciation</subject><issn>0025-5564</issn><issn>1879-3134</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1DAUhS1ERYfCA7BBXrJJsOPYToSEVMpfpSI2sLYc-4bxNLGD7RlUVizZ84Y8ST2dUsGGleXrc757fQ9CTyipKaHi-aaeh1Q3hDY1YTUh4h5a0U72FaOsvY9WhDS84ly0x-hhShtCqKRUPEDHTdMK3rFuhX6e4pSDWeuUncFzsDDhMUSc14At7GAKyww-4zDiVzpDCv73j1-vw_B9rX26vCqXD9tpgoidN2FedHaDm1x2kApC55tyXELce_ESQwbnSzFD1Ca74LGH_C3Ey_QIHY16SvD49jxBn9---XT2vrr4-O787PSiMi2nuWqp7ho5CkE7C5xKYoEIJpkdoLeM0bKXnlPTs1E3vTSasFF0wmhGLeeyZewEvTxwl-0wgzXlc1FPaolu1vFKBe3Uvy_erdWXsFNc9rJjbQE8uwXE8HULKavZJQPTpD2EbVJlAil5z-W-Fz1ITQwpRRjv2lCy1wm1USVBtU9QEaZKgsXz9O_57hx_IiuCFwcBlC3tHESVjANvwLoIJisb3H_w16zusno</recordid><startdate>20120701</startdate><enddate>20120701</enddate><creator>Livingstone, Kevin</creator><creator>Olofsson, Peter</creator><creator>Cochran, Garner</creator><creator>Dagilis, Andrius</creator><creator>MacPherson, Karen</creator><creator>Seitz, Kerry A.</creator><general>Elsevier Inc</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>5PM</scope></search><sort><creationdate>20120701</creationdate><title>A stochastic model for the development of Bateson–Dobzhansky–Muller incompatibilities that incorporates protein interaction networks</title><author>Livingstone, Kevin ; Olofsson, Peter ; Cochran, Garner ; Dagilis, Andrius ; MacPherson, Karen ; Seitz, Kerry A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-41a827f6618de5170de06373dbe9d331101951c93fa297ca03f686ca31d557433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bateson–Dobzhansky–Muller interactions</topic><topic>Computer Simulation</topic><topic>Genetic Speciation</topic><topic>Models, Genetic</topic><topic>Models, Statistical</topic><topic>Protein Interaction Maps</topic><topic>Protein–protein interaction networks</topic><topic>Reproductive incompatibility</topic><topic>Reproductive Isolation</topic><topic>Saccharomyces cerevisiae - genetics</topic><topic>Saccharomyces cerevisiae Proteins - chemistry</topic><topic>Saccharomyces cerevisiae Proteins - genetics</topic><topic>Speciation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Livingstone, Kevin</creatorcontrib><creatorcontrib>Olofsson, Peter</creatorcontrib><creatorcontrib>Cochran, Garner</creatorcontrib><creatorcontrib>Dagilis, Andrius</creatorcontrib><creatorcontrib>MacPherson, Karen</creatorcontrib><creatorcontrib>Seitz, Kerry A.</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>PubMed Central (Full Participant titles)</collection><jtitle>Mathematical biosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Livingstone, Kevin</au><au>Olofsson, Peter</au><au>Cochran, Garner</au><au>Dagilis, Andrius</au><au>MacPherson, Karen</au><au>Seitz, Kerry A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A stochastic model for the development of Bateson–Dobzhansky–Muller incompatibilities that incorporates protein interaction networks</atitle><jtitle>Mathematical biosciences</jtitle><addtitle>Math Biosci</addtitle><date>2012-07-01</date><risdate>2012</risdate><volume>238</volume><issue>1</issue><spage>49</spage><epage>53</epage><pages>49-53</pages><issn>0025-5564</issn><eissn>1879-3134</eissn><abstract>Speciation is characterized by the development of reproductive isolating barriers between diverging groups. Intrinsic post-zygotic barriers of the type envisioned by Bateson, Dobzhansky, and Muller are deleterious epistatic interactions among loci that reduce hybrid fitness, leading to reproductive isolation. The first formal population genetic model of the development of these barriers was published by Orr in 1995, and here we develop a more general model of this process by incorporating finite protein–protein interaction networks, which reduce the probability of deleterious interactions in vivo. Our model shows that the development of deleterious interactions is limited by the density of the protein–protein interaction network. We have confirmed our analytical predictions of the number of possible interactions given the number of allele substitutions by using simulations on the Saccharomyces cerevisiae protein–protein interaction network. These results allow us to define the rate at which deleterious interactions are expected to form, and hence the speciation rate, for any protein–protein interaction network.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>22465838</pmid><doi>10.1016/j.mbs.2012.03.006</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bateson–Dobzhansky–Muller interactions Computer Simulation Genetic Speciation Models, Genetic Models, Statistical Protein Interaction Maps Protein–protein interaction networks Reproductive incompatibility Reproductive Isolation Saccharomyces cerevisiae - genetics Saccharomyces cerevisiae Proteins - chemistry Saccharomyces cerevisiae Proteins - genetics Speciation |
title | A stochastic model for the development of Bateson–Dobzhansky–Muller incompatibilities that incorporates protein interaction networks |
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