study on relative importance of additive, epistasis and unmapped QTL for Aluminium tolerance at seedling stage in soybean
With 3 figures and 6 tables ABSTRACT: The relative importance of quantitative trait locus (QTL) types controlling aluminium (Al) tolerance in a recombinant inbred line population of soybean was assessed under greenhouse sand culture in 2 years. Three growth‐related indicators for Al‐tolerance, namel...
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description | With 3 figures and 6 tables ABSTRACT: The relative importance of quantitative trait locus (QTL) types controlling aluminium (Al) tolerance in a recombinant inbred line population of soybean was assessed under greenhouse sand culture in 2 years. Three growth‐related indicators for Al‐tolerance, namely relative total plant dry weight (RTDW), relative shoot dry weight (RSDW) and relative root dry weight (RRDW) were analysed for genetic architecture. RTDW showed relatively higher correlations and shared marker regions with RSDW and RRDW. Four additive QTL, four epistatic QTL pairs and collective unmapped QTL were identified for RTDW, with respective contributions of 22.30%, 14.86% and 40.64%, in a total genetic contribution of 77.80% to phenotypic variation, while QTL × Environment contribution was relatively negligible. Similar results were found for RSDW and RRDW. Altogether, seven additive QTL, eleven epistatic QTL pairs and collective unmapped QTL were involved with Al‐tolerance. Among them, one major QTL linked to marker region GMKF046‐Sat_128 on B1 was shared by the three traits. The results imply that the three QTL types are all relevant and should be comprehensively utilized for the improvement of Al‐tolerance in soybean. |
doi_str_mv | 10.1111/j.1439-0523.2011.01862.x |
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Three growth‐related indicators for Al‐tolerance, namely relative total plant dry weight (RTDW), relative shoot dry weight (RSDW) and relative root dry weight (RRDW) were analysed for genetic architecture. RTDW showed relatively higher correlations and shared marker regions with RSDW and RRDW. Four additive QTL, four epistatic QTL pairs and collective unmapped QTL were identified for RTDW, with respective contributions of 22.30%, 14.86% and 40.64%, in a total genetic contribution of 77.80% to phenotypic variation, while QTL × Environment contribution was relatively negligible. Similar results were found for RSDW and RRDW. Altogether, seven additive QTL, eleven epistatic QTL pairs and collective unmapped QTL were involved with Al‐tolerance. Among them, one major QTL linked to marker region GMKF046‐Sat_128 on B1 was shared by the three traits. The results imply that the three QTL types are all relevant and should be comprehensively utilized for the improvement of Al‐tolerance in soybean.</description><identifier>ISSN: 0179-9541</identifier><identifier>EISSN: 1439-0523</identifier><identifier>DOI: 10.1111/j.1439-0523.2011.01862.x</identifier><identifier>CODEN: PLABED</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>additive quantitative trait locus ; Agronomy. Soil science and plant productions ; aluminium tolerance ; Aluminum ; Biological and medical sciences ; collective unmapped quantitative trait locus ; Epistasis ; epistatic quantitative trait locus pair ; Fundamental and applied biological sciences. Psychology ; Gene mapping ; Genetics and breeding of economic plants ; Greenhouses ; inbred lines ; Inbreeding ; phenotypic variation ; Phenotypic variations ; Plant breeding ; Pollution tolerance ; Quantitative trait loci ; recombinant inbred line ; Roots ; Sand ; sand culture ; Seedlings ; Shoots ; Soybean ; Soybeans</subject><ispartof>Plant breeding, 2011-10, Vol.130 (5), p.551-562</ispartof><rights>2011 Blackwell Verlag GmbH</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6092-64d4ca90e09de35302ff224a8059d694b231609758ca1befb64da57193ce09f33</citedby><cites>FETCH-LOGICAL-c6092-64d4ca90e09de35302ff224a8059d694b231609758ca1befb64da57193ce09f33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1439-0523.2011.01862.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1439-0523.2011.01862.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24560145$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Korir, Paul C</creatorcontrib><creatorcontrib>Qi, Bo</creatorcontrib><creatorcontrib>Wang, Yufeng</creatorcontrib><creatorcontrib>Zhao, Tuanjie</creatorcontrib><creatorcontrib>Yu, Deyue</creatorcontrib><creatorcontrib>Chen, Shouyi</creatorcontrib><creatorcontrib>Gai, Junyi</creatorcontrib><title>study on relative importance of additive, epistasis and unmapped QTL for Aluminium tolerance at seedling stage in soybean</title><title>Plant breeding</title><description>With 3 figures and 6 tables ABSTRACT: The relative importance of quantitative trait locus (QTL) types controlling aluminium (Al) tolerance in a recombinant inbred line population of soybean was assessed under greenhouse sand culture in 2 years. Three growth‐related indicators for Al‐tolerance, namely relative total plant dry weight (RTDW), relative shoot dry weight (RSDW) and relative root dry weight (RRDW) were analysed for genetic architecture. RTDW showed relatively higher correlations and shared marker regions with RSDW and RRDW. Four additive QTL, four epistatic QTL pairs and collective unmapped QTL were identified for RTDW, with respective contributions of 22.30%, 14.86% and 40.64%, in a total genetic contribution of 77.80% to phenotypic variation, while QTL × Environment contribution was relatively negligible. Similar results were found for RSDW and RRDW. Altogether, seven additive QTL, eleven epistatic QTL pairs and collective unmapped QTL were involved with Al‐tolerance. Among them, one major QTL linked to marker region GMKF046‐Sat_128 on B1 was shared by the three traits. The results imply that the three QTL types are all relevant and should be comprehensively utilized for the improvement of Al‐tolerance in soybean.</description><subject>additive quantitative trait locus</subject><subject>Agronomy. Soil science and plant productions</subject><subject>aluminium tolerance</subject><subject>Aluminum</subject><subject>Biological and medical sciences</subject><subject>collective unmapped quantitative trait locus</subject><subject>Epistasis</subject><subject>epistatic quantitative trait locus pair</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene mapping</subject><subject>Genetics and breeding of economic plants</subject><subject>Greenhouses</subject><subject>inbred lines</subject><subject>Inbreeding</subject><subject>phenotypic variation</subject><subject>Phenotypic variations</subject><subject>Plant breeding</subject><subject>Pollution tolerance</subject><subject>Quantitative trait loci</subject><subject>recombinant inbred line</subject><subject>Roots</subject><subject>Sand</subject><subject>sand culture</subject><subject>Seedlings</subject><subject>Shoots</subject><subject>Soybean</subject><subject>Soybeans</subject><issn>0179-9541</issn><issn>1439-0523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqNkUtv1DAURiMEEkPhN2AJITYk2LGdjBcs2gpaxPDoS0hsrDuJPfKQ2MFO2sm_x-5Us2CBiBTFsc-51_puliGCCxKfd9uCMCpyzEtalJiQApNlVRa7R9nicPA4W2BSi1xwRp5mz0LY4vRP60U2h3FqZ-Qs8qqD0dwqZPrB-RFso5DTCNrWpO23SA0mjBBMQGBbNNkehkG16OJ6hbTz6LibemPN1KPRdcrf-zCioFTbGbtB0d3E4hYFN68V2OfZEw1dUC8evkfZzccP16fn-erb2afT41XeVFiUecVa1oDACotWUU5xqXVZMlhiLtpKsHVJSQRrvmyArJVeRwF4TQRtoqIpPcre7OsO3v2eVBhlb0Kjug6sclOQIqbII04i-eovcusmb-PlJKloFV9c8Ugt91TjXQheaTl404OfJcEyjURuZUpepuRlGom8H4ncRfX1QwMIDXQ6hWTCwS8ZrzBhqcX7PXdnOjX_d335_eQyraKf7_04MLU7-OB_yaqmNZc_vp7Jq4ufX8jny3OZ-r3c8xqchI2Pd7q5ipUZxpiRmO8_iZLiuqZ_AA5owEk</recordid><startdate>201110</startdate><enddate>201110</enddate><creator>Korir, Paul C</creator><creator>Qi, Bo</creator><creator>Wang, Yufeng</creator><creator>Zhao, Tuanjie</creator><creator>Yu, Deyue</creator><creator>Chen, Shouyi</creator><creator>Gai, Junyi</creator><general>Blackwell Publishing Ltd</general><general>Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>FBQ</scope><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>201110</creationdate><title>study on relative importance of additive, epistasis and unmapped QTL for Aluminium tolerance at seedling stage in soybean</title><author>Korir, Paul C ; Qi, Bo ; Wang, Yufeng ; Zhao, Tuanjie ; Yu, Deyue ; Chen, Shouyi ; Gai, Junyi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6092-64d4ca90e09de35302ff224a8059d694b231609758ca1befb64da57193ce09f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>additive quantitative trait locus</topic><topic>Agronomy. Soil science and plant productions</topic><topic>aluminium tolerance</topic><topic>Aluminum</topic><topic>Biological and medical sciences</topic><topic>collective unmapped quantitative trait locus</topic><topic>Epistasis</topic><topic>epistatic quantitative trait locus pair</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene mapping</topic><topic>Genetics and breeding of economic plants</topic><topic>Greenhouses</topic><topic>inbred lines</topic><topic>Inbreeding</topic><topic>phenotypic variation</topic><topic>Phenotypic variations</topic><topic>Plant breeding</topic><topic>Pollution tolerance</topic><topic>Quantitative trait loci</topic><topic>recombinant inbred line</topic><topic>Roots</topic><topic>Sand</topic><topic>sand culture</topic><topic>Seedlings</topic><topic>Shoots</topic><topic>Soybean</topic><topic>Soybeans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Korir, Paul C</creatorcontrib><creatorcontrib>Qi, Bo</creatorcontrib><creatorcontrib>Wang, Yufeng</creatorcontrib><creatorcontrib>Zhao, Tuanjie</creatorcontrib><creatorcontrib>Yu, Deyue</creatorcontrib><creatorcontrib>Chen, Shouyi</creatorcontrib><creatorcontrib>Gai, Junyi</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</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><jtitle>Plant breeding</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Korir, Paul C</au><au>Qi, Bo</au><au>Wang, Yufeng</au><au>Zhao, Tuanjie</au><au>Yu, Deyue</au><au>Chen, Shouyi</au><au>Gai, Junyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>study on relative importance of additive, epistasis and unmapped QTL for Aluminium tolerance at seedling stage in soybean</atitle><jtitle>Plant breeding</jtitle><date>2011-10</date><risdate>2011</risdate><volume>130</volume><issue>5</issue><spage>551</spage><epage>562</epage><pages>551-562</pages><issn>0179-9541</issn><eissn>1439-0523</eissn><coden>PLABED</coden><abstract>With 3 figures and 6 tables ABSTRACT: The relative importance of quantitative trait locus (QTL) types controlling aluminium (Al) tolerance in a recombinant inbred line population of soybean was assessed under greenhouse sand culture in 2 years. Three growth‐related indicators for Al‐tolerance, namely relative total plant dry weight (RTDW), relative shoot dry weight (RSDW) and relative root dry weight (RRDW) were analysed for genetic architecture. RTDW showed relatively higher correlations and shared marker regions with RSDW and RRDW. Four additive QTL, four epistatic QTL pairs and collective unmapped QTL were identified for RTDW, with respective contributions of 22.30%, 14.86% and 40.64%, in a total genetic contribution of 77.80% to phenotypic variation, while QTL × Environment contribution was relatively negligible. Similar results were found for RSDW and RRDW. Altogether, seven additive QTL, eleven epistatic QTL pairs and collective unmapped QTL were involved with Al‐tolerance. Among them, one major QTL linked to marker region GMKF046‐Sat_128 on B1 was shared by the three traits. The results imply that the three QTL types are all relevant and should be comprehensively utilized for the improvement of Al‐tolerance in soybean.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1439-0523.2011.01862.x</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | additive quantitative trait locus Agronomy. Soil science and plant productions aluminium tolerance Aluminum Biological and medical sciences collective unmapped quantitative trait locus Epistasis epistatic quantitative trait locus pair Fundamental and applied biological sciences. Psychology Gene mapping Genetics and breeding of economic plants Greenhouses inbred lines Inbreeding phenotypic variation Phenotypic variations Plant breeding Pollution tolerance Quantitative trait loci recombinant inbred line Roots Sand sand culture Seedlings Shoots Soybean Soybeans |
title | study on relative importance of additive, epistasis and unmapped QTL for Aluminium tolerance at seedling stage in soybean |
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