Population Structure and Spatial Influence of Agricultural Variables on Hessian Fly Populations in the Southeastern United States
Population structure dictates the evolution of each population, and thus, the species as a whole. Incorporating spatial variables with population genetic statistics allows for greater discovery beyond traditional population genetics alone and can inform management decisions. The understanding of pop...
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| Veröffentlicht in: | Environmental entomology 2011-10, Vol.40 (5), p.1303-1316 |
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| container_title | Environmental entomology |
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| creator | Morton, Philip K Foley, Carolyn J Schemerhorn, Brandon J |
| description | Population structure dictates the evolution of each population, and thus, the species as a whole. Incorporating spatial variables with population genetic statistics allows for greater discovery beyond traditional population genetics alone and can inform management decisions. The understanding of population structure in Hessian fly, Mayetiola destructor (Say), a pest of wheat, has been limited in the past. We scored 14 microsatellite loci from 12 collections of Hessian fly in the southeastern United States. Through Bayesian clustering analysis, we found two major populations of Hessian fly covering the entire southeastern United States. We evaluated correlations between agriculturally significant spatial variables and population genetic differentiation to test if genetic structure has an ecological component in a wheat agro-ecosystem. Our results suggest the total amount of alternative host plants in the county may be driving some genetic differentiation. Although planting date may also be influential, geographic distance, mean annual temperature, and harvested wheat for grain do not seem to be contributing factors. The ecological or spatial component to population structure, however, may be minimal compared to factors such as genetic drift. |
| doi_str_mv | 10.1603/EN10244 |
| format | Article |
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Incorporating spatial variables with population genetic statistics allows for greater discovery beyond traditional population genetics alone and can inform management decisions. The understanding of population structure in Hessian fly, Mayetiola destructor (Say), a pest of wheat, has been limited in the past. We scored 14 microsatellite loci from 12 collections of Hessian fly in the southeastern United States. Through Bayesian clustering analysis, we found two major populations of Hessian fly covering the entire southeastern United States. We evaluated correlations between agriculturally significant spatial variables and population genetic differentiation to test if genetic structure has an ecological component in a wheat agro-ecosystem. Our results suggest the total amount of alternative host plants in the county may be driving some genetic differentiation. Although planting date may also be influential, geographic distance, mean annual temperature, and harvested wheat for grain do not seem to be contributing factors. The ecological or spatial component to population structure, however, may be minimal compared to factors such as genetic drift.</description><identifier>ISSN: 0046-225X</identifier><identifier>EISSN: 1938-2936</identifier><identifier>DOI: 10.1603/EN10244</identifier><identifier>PMID: 22251741</identifier><identifier>CODEN: EVETBX</identifier><language>eng</language><publisher>Lanham, MD: Entomological Society of America</publisher><subject>agroecosystems ; alternative host ; Animals ; Bayes Theorem ; Biological and medical sciences ; Cluster Analysis ; Diptera - genetics ; evolution ; Female ; Fundamental and applied biological sciences. Psychology ; Gene Frequency ; gene-for-gene interaction ; genetic drift ; Genetic Variation ; host plants ; landscape genetics ; Male ; Markov Chains ; Mayetiola destructor ; Microsatellite Repeats ; microsatellites ; MOLECULAR ECOLOGY AND EVOLUTION ; pests ; Phytopathology. Animal pests. Plant and forest protection ; planting date ; population structure ; Protozoa. Invertebrates ; Records, symptoms, damages, economic importance, population surveys ; Southeastern United States ; statistics ; temperature ; Triticum - parasitology ; Triticum aestivum ; wheat</subject><ispartof>Environmental entomology, 2011-10, Vol.40 (5), p.1303-1316</ispartof><rights>2011 Entomological Society of America</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b429t-4cc3ec729cf7ffeb8b2f969033d404f36e2bc74a3a06e782348c97e2b19d0a513</citedby><cites>FETCH-LOGICAL-b429t-4cc3ec729cf7ffeb8b2f969033d404f36e2bc74a3a06e782348c97e2b19d0a513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bioone.org/doi/pdf/10.1603/EN10244$$EPDF$$P50$$Gbioone$$H</linktopdf><link.rule.ids>314,780,784,26978,27924,27925,52363</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24592436$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22251741$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Morton, Philip K</creatorcontrib><creatorcontrib>Foley, Carolyn J</creatorcontrib><creatorcontrib>Schemerhorn, Brandon J</creatorcontrib><title>Population Structure and Spatial Influence of Agricultural Variables on Hessian Fly Populations in the Southeastern United States</title><title>Environmental entomology</title><addtitle>Environ Entomol</addtitle><description>Population structure dictates the evolution of each population, and thus, the species as a whole. Incorporating spatial variables with population genetic statistics allows for greater discovery beyond traditional population genetics alone and can inform management decisions. The understanding of population structure in Hessian fly, Mayetiola destructor (Say), a pest of wheat, has been limited in the past. We scored 14 microsatellite loci from 12 collections of Hessian fly in the southeastern United States. Through Bayesian clustering analysis, we found two major populations of Hessian fly covering the entire southeastern United States. We evaluated correlations between agriculturally significant spatial variables and population genetic differentiation to test if genetic structure has an ecological component in a wheat agro-ecosystem. Our results suggest the total amount of alternative host plants in the county may be driving some genetic differentiation. Although planting date may also be influential, geographic distance, mean annual temperature, and harvested wheat for grain do not seem to be contributing factors. The ecological or spatial component to population structure, however, may be minimal compared to factors such as genetic drift.</description><subject>agroecosystems</subject><subject>alternative host</subject><subject>Animals</subject><subject>Bayes Theorem</subject><subject>Biological and medical sciences</subject><subject>Cluster Analysis</subject><subject>Diptera - genetics</subject><subject>evolution</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene Frequency</subject><subject>gene-for-gene interaction</subject><subject>genetic drift</subject><subject>Genetic Variation</subject><subject>host plants</subject><subject>landscape genetics</subject><subject>Male</subject><subject>Markov Chains</subject><subject>Mayetiola destructor</subject><subject>Microsatellite Repeats</subject><subject>microsatellites</subject><subject>MOLECULAR ECOLOGY AND EVOLUTION</subject><subject>pests</subject><subject>Phytopathology. Animal pests. Plant and forest protection</subject><subject>planting date</subject><subject>population structure</subject><subject>Protozoa. Invertebrates</subject><subject>Records, symptoms, damages, economic importance, population surveys</subject><subject>Southeastern United States</subject><subject>statistics</subject><subject>temperature</subject><subject>Triticum - parasitology</subject><subject>Triticum aestivum</subject><subject>wheat</subject><issn>0046-225X</issn><issn>1938-2936</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1rVDEUhoModqziP9BsxNXVfN3cm2UprS0UFcYRd5dzMycaySRjkrvo0n9uSkfHjZjNgTdPnhN4CXnO2RuumXx78Z4zodQDsuJGjp0wUj8kK8aU7oTov5yQJ6V8Z-2MYnhMTkQL-aD4ivz8mPZLgOpTpOuaF1uXjBTilq73LYVAr6MLC0aLNDl69jV7u4QGtZvPkD3MAQttj6-wFA-RXoZbenQW6iOt35Cu09IGlIo50k30FduGChXLU_LIQSj47DBPyeby4tP5VXfz4d31-dlNNythaqeslWgHYawbnMN5nIUz2jApt4opJzWK2Q4KJDCNwyikGq0ZWsjNlkHP5Sl5fe_d5_RjwVKnnS8WQ4CIaSmT6ZVWclDm_yTXozJi-Mtpcyolo5v22e8g306cTXfFTIdiGvni4FzmHW7_cL-baMCrAwDFQnAZovXlyKneCCV1417ecw7SBK2OMm3WgvH-rl0htDyaZp9SxH9-6Re8rqsl</recordid><startdate>20111001</startdate><enddate>20111001</enddate><creator>Morton, Philip K</creator><creator>Foley, Carolyn J</creator><creator>Schemerhorn, Brandon J</creator><general>Entomological Society of America</general><scope>FBQ</scope><scope>IQODW</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>7X8</scope><scope>7SN</scope><scope>7SS</scope><scope>C1K</scope></search><sort><creationdate>20111001</creationdate><title>Population Structure and Spatial Influence of Agricultural Variables on Hessian Fly Populations in the Southeastern United States</title><author>Morton, Philip K ; Foley, Carolyn J ; Schemerhorn, Brandon J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b429t-4cc3ec729cf7ffeb8b2f969033d404f36e2bc74a3a06e782348c97e2b19d0a513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>agroecosystems</topic><topic>alternative host</topic><topic>Animals</topic><topic>Bayes Theorem</topic><topic>Biological and medical sciences</topic><topic>Cluster Analysis</topic><topic>Diptera - genetics</topic><topic>evolution</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene Frequency</topic><topic>gene-for-gene interaction</topic><topic>genetic drift</topic><topic>Genetic Variation</topic><topic>host plants</topic><topic>landscape genetics</topic><topic>Male</topic><topic>Markov Chains</topic><topic>Mayetiola destructor</topic><topic>Microsatellite Repeats</topic><topic>microsatellites</topic><topic>MOLECULAR ECOLOGY AND EVOLUTION</topic><topic>pests</topic><topic>Phytopathology. Animal pests. Plant and forest protection</topic><topic>planting date</topic><topic>population structure</topic><topic>Protozoa. Invertebrates</topic><topic>Records, symptoms, damages, economic importance, population surveys</topic><topic>Southeastern United States</topic><topic>statistics</topic><topic>temperature</topic><topic>Triticum - parasitology</topic><topic>Triticum aestivum</topic><topic>wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Morton, Philip K</creatorcontrib><creatorcontrib>Foley, Carolyn J</creatorcontrib><creatorcontrib>Schemerhorn, Brandon J</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><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>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Environmental entomology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Morton, Philip K</au><au>Foley, Carolyn J</au><au>Schemerhorn, Brandon J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Population Structure and Spatial Influence of Agricultural Variables on Hessian Fly Populations in the Southeastern United States</atitle><jtitle>Environmental entomology</jtitle><addtitle>Environ Entomol</addtitle><date>2011-10-01</date><risdate>2011</risdate><volume>40</volume><issue>5</issue><spage>1303</spage><epage>1316</epage><pages>1303-1316</pages><issn>0046-225X</issn><eissn>1938-2936</eissn><coden>EVETBX</coden><abstract>Population structure dictates the evolution of each population, and thus, the species as a whole. Incorporating spatial variables with population genetic statistics allows for greater discovery beyond traditional population genetics alone and can inform management decisions. The understanding of population structure in Hessian fly, Mayetiola destructor (Say), a pest of wheat, has been limited in the past. We scored 14 microsatellite loci from 12 collections of Hessian fly in the southeastern United States. Through Bayesian clustering analysis, we found two major populations of Hessian fly covering the entire southeastern United States. We evaluated correlations between agriculturally significant spatial variables and population genetic differentiation to test if genetic structure has an ecological component in a wheat agro-ecosystem. Our results suggest the total amount of alternative host plants in the county may be driving some genetic differentiation. Although planting date may also be influential, geographic distance, mean annual temperature, and harvested wheat for grain do not seem to be contributing factors. The ecological or spatial component to population structure, however, may be minimal compared to factors such as genetic drift.</abstract><cop>Lanham, MD</cop><pub>Entomological Society of America</pub><pmid>22251741</pmid><doi>10.1603/EN10244</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; BioOne Complete; Oxford University Press Journals All Titles (1996-Current) |
| subjects | agroecosystems alternative host Animals Bayes Theorem Biological and medical sciences Cluster Analysis Diptera - genetics evolution Female Fundamental and applied biological sciences. Psychology Gene Frequency gene-for-gene interaction genetic drift Genetic Variation host plants landscape genetics Male Markov Chains Mayetiola destructor Microsatellite Repeats microsatellites MOLECULAR ECOLOGY AND EVOLUTION pests Phytopathology. Animal pests. Plant and forest protection planting date population structure Protozoa. Invertebrates Records, symptoms, damages, economic importance, population surveys Southeastern United States statistics temperature Triticum - parasitology Triticum aestivum wheat |
| title | Population Structure and Spatial Influence of Agricultural Variables on Hessian Fly Populations in the Southeastern United States |
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