A comparison of two indirect methods for estimating average levels of gene flow using microsatellite data
We compare the performance of Nm estimates based on FST and RST obtained from microsatellite data using simulations of the stepwise mutation model with range constraints in allele size classes. The results of the simulations suggest that the use of microsatellite loci can lead to serious overestimat...
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| Veröffentlicht in: | Molecular ecology 1999-09, Vol.8 (9), p.1513-1520 |
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| container_title | Molecular ecology |
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| creator | Gaggiotti, O. E. Lange, O. Rassmann, K. Gliddon, C. |
| description | We compare the performance of Nm estimates based on FST and RST obtained from microsatellite data using simulations of the stepwise mutation model with range constraints in allele size classes. The results of the simulations suggest that the use of microsatellite loci can lead to serious overestimations of Nm, particularly when population sizes are large (N > 5000) and range constraints are high (K |
| doi_str_mv | 10.1046/j.1365-294x.1999.00730.x |
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However, FST‐based estimates are always better than RST when sample sizes are moderate or small (ns ≤ 10) and the number of loci scored is low (nl < 20). These are the conditions under which many real investigations are carried out and therefore we conclude that in many cases the most conservative approach is to use FST.</description><identifier>ISSN: 0962-1083</identifier><identifier>EISSN: 1365-294X</identifier><identifier>DOI: 10.1046/j.1365-294x.1999.00730.x</identifier><identifier>PMID: 10564457</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Science Ltd</publisher><subject>Alleles ; Animals ; gene flow ; genetic differentiation ; Genetics, Population ; Microsatellite Repeats ; microsatellites ; Models, Genetic ; Monte Carlo Method ; Mutation ; RST ; Sample Size ; Selection Bias ; stepwise mutation model ; subdivided populations</subject><ispartof>Molecular ecology, 1999-09, Vol.8 (9), p.1513-1520</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4990-fa8f168e6fa6ac754fa0a9da4ff823588ae60c8465b463e6627cdd447dd9f11f3</citedby><cites>FETCH-LOGICAL-c4990-fa8f168e6fa6ac754fa0a9da4ff823588ae60c8465b463e6627cdd447dd9f11f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1046%2Fj.1365-294x.1999.00730.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1046%2Fj.1365-294x.1999.00730.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10564457$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gaggiotti, O. E.</creatorcontrib><creatorcontrib>Lange, O.</creatorcontrib><creatorcontrib>Rassmann, K.</creatorcontrib><creatorcontrib>Gliddon, C.</creatorcontrib><title>A comparison of two indirect methods for estimating average levels of gene flow using microsatellite data</title><title>Molecular ecology</title><addtitle>Mol Ecol</addtitle><description>We compare the performance of Nm estimates based on FST and RST obtained from microsatellite data using simulations of the stepwise mutation model with range constraints in allele size classes. The results of the simulations suggest that the use of microsatellite loci can lead to serious overestimations of Nm, particularly when population sizes are large (N > 5000) and range constraints are high (K < 20). The simulations also indicate that, when population sizes are small (N ≤ 500) and migration rates are moderate (Nm ≈ 2), violations to the assumption used to derive the Nm estimators lead to biased results. Under ideal conditions, i.e. large sample sizes (ns ≥ 50) and many loci (nl ≥ 20), RST performs better than FST for most of the parameter space. However, FST‐based estimates are always better than RST when sample sizes are moderate or small (ns ≤ 10) and the number of loci scored is low (nl < 20). These are the conditions under which many real investigations are carried out and therefore we conclude that in many cases the most conservative approach is to use FST.</description><subject>Alleles</subject><subject>Animals</subject><subject>gene flow</subject><subject>genetic differentiation</subject><subject>Genetics, Population</subject><subject>Microsatellite Repeats</subject><subject>microsatellites</subject><subject>Models, Genetic</subject><subject>Monte Carlo Method</subject><subject>Mutation</subject><subject>RST</subject><subject>Sample Size</subject><subject>Selection Bias</subject><subject>stepwise mutation model</subject><subject>subdivided populations</subject><issn>0962-1083</issn><issn>1365-294X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkUtv1DAURi0EokPhLyCv2CX47VhiUw2lIJXHgpfYWG5yPXhI4qnt6Uz_PQkpiB2sbMnnXN97P4QwJTUlQj3f1pQrWTEjjjU1xtSEaE7q4z20-v3w9T5aEaNYRUnDT9CjnLeEUM6kfIhOKJFKCKlXKJzhNg47l0KOI44el0PEYexCgrbgAcr32GXsY8KQSxhcCeMGuxtIbgO4hxvo82xtYATs-3jA-zwTQ2hTzK5A34cCuHPFPUYPvOszPLk7T9GnV-cf16-ry_cXb9Znl1UrjCGVd42nqgHlnXKtlsI74kznhPcN47JpHCjSNkLJK6E4KMV023VC6K4znlLPT9Gzpe4uxev91LUdQm6nRtwIcZ-tMkxLw80_QaoFk1TTCWwWcJ4pJ_B2l6ZVpFtLiZ3zsFs7r93Oedg5D_srD3uc1Kd3f-yvBuj-EpcAJuDFAhxCD7f_Xdi-PV9Pl0mvFj3kAsc_uks_rNJcS_vl3YU16sPnb0wz-5L_BCd-qr4</recordid><startdate>199909</startdate><enddate>199909</enddate><creator>Gaggiotti, O. E.</creator><creator>Lange, O.</creator><creator>Rassmann, K.</creator><creator>Gliddon, C.</creator><general>Blackwell Science Ltd</general><scope>BSCLL</scope><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>7SN</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>199909</creationdate><title>A comparison of two indirect methods for estimating average levels of gene flow using microsatellite data</title><author>Gaggiotti, O. E. ; Lange, O. ; Rassmann, K. ; Gliddon, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4990-fa8f168e6fa6ac754fa0a9da4ff823588ae60c8465b463e6627cdd447dd9f11f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Alleles</topic><topic>Animals</topic><topic>gene flow</topic><topic>genetic differentiation</topic><topic>Genetics, Population</topic><topic>Microsatellite Repeats</topic><topic>microsatellites</topic><topic>Models, Genetic</topic><topic>Monte Carlo Method</topic><topic>Mutation</topic><topic>RST</topic><topic>Sample Size</topic><topic>Selection Bias</topic><topic>stepwise mutation model</topic><topic>subdivided populations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gaggiotti, O. E.</creatorcontrib><creatorcontrib>Lange, O.</creatorcontrib><creatorcontrib>Rassmann, K.</creatorcontrib><creatorcontrib>Gliddon, C.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gaggiotti, O. E.</au><au>Lange, O.</au><au>Rassmann, K.</au><au>Gliddon, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A comparison of two indirect methods for estimating average levels of gene flow using microsatellite data</atitle><jtitle>Molecular ecology</jtitle><addtitle>Mol Ecol</addtitle><date>1999-09</date><risdate>1999</risdate><volume>8</volume><issue>9</issue><spage>1513</spage><epage>1520</epage><pages>1513-1520</pages><issn>0962-1083</issn><eissn>1365-294X</eissn><abstract>We compare the performance of Nm estimates based on FST and RST obtained from microsatellite data using simulations of the stepwise mutation model with range constraints in allele size classes. The results of the simulations suggest that the use of microsatellite loci can lead to serious overestimations of Nm, particularly when population sizes are large (N > 5000) and range constraints are high (K < 20). The simulations also indicate that, when population sizes are small (N ≤ 500) and migration rates are moderate (Nm ≈ 2), violations to the assumption used to derive the Nm estimators lead to biased results. Under ideal conditions, i.e. large sample sizes (ns ≥ 50) and many loci (nl ≥ 20), RST performs better than FST for most of the parameter space. However, FST‐based estimates are always better than RST when sample sizes are moderate or small (ns ≤ 10) and the number of loci scored is low (nl < 20). These are the conditions under which many real investigations are carried out and therefore we conclude that in many cases the most conservative approach is to use FST.</abstract><cop>Oxford, UK</cop><pub>Blackwell Science Ltd</pub><pmid>10564457</pmid><doi>10.1046/j.1365-294x.1999.00730.x</doi><tpages>8</tpages></addata></record> |
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| ispartof | Molecular ecology, 1999-09, Vol.8 (9), p.1513-1520 |
| issn | 0962-1083 1365-294X |
| language | eng |
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| source | MEDLINE; Access via Wiley Online Library |
| subjects | Alleles Animals gene flow genetic differentiation Genetics, Population Microsatellite Repeats microsatellites Models, Genetic Monte Carlo Method Mutation RST Sample Size Selection Bias stepwise mutation model subdivided populations |
| title | A comparison of two indirect methods for estimating average levels of gene flow using microsatellite data |
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