Genetic map and QTL controlling fiber quality traits in upland cotton (Gossypium hirsutum L.)
Cotton is a leading natural fiber crop in the textile industry worldwide. The improvement of cotton fiber quality has become more important because of changes in spinning technology and ever-increasing demands. Mapping quantitative trait locus (QTL) for fiber quality traits will enable molecular mar...
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| Veröffentlicht in: | Euphytica 2015-06, Vol.203 (3), p.615-628 |
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| creator | Tan, Zhaoyun Fang, Xiaomei Tang, Shiyi Zhang, Jian Liu, Dajun Teng, Zhonghua Li, Ling Ni, Huijuan Zheng, Fengmin Liu, Dexin Zhang, Tingfu Paterson, Andrew H. Zhang, Zhengsheng |
| description | Cotton is a leading natural fiber crop in the textile industry worldwide. The improvement of cotton fiber quality has become more important because of changes in spinning technology and ever-increasing demands. Mapping quantitative trait locus (QTL) for fiber quality traits will enable molecular marker-assisted selection (MAS) to improve fiber quality and provide an access to reveal the molecular mechanism of fiber development. A high-density intraspecific genetic map is constructed based on an upland cotton recombinant inbred line (RIL) population. A total of 25,313 SSR primer pairs were used and yielded 1,333 polymorphic markers, with a polymorphic ratio of 5.3 %, producing 1,382 polymorphic loci in the RIL population. The map comprised 1,274 loci and spanned 3,076.4 cM with an average distance of 2.41 cM between two adjacent markers. Based on the phenotypic data of fiber quality traits from five environments, a total of 59 QTL were detected. These QTL comprised 15 QTL for fiber upper half mean length, 10 QTL for fiber length uniformity, 9 QTL for fiber strength, 10 QTL for fiber elongation and 15 QTL for fiber micronaire, respectively. The genetic map constructed in this study is the most detailed upland cotton intraspecific map based on SSR markers to date, and could be used to construct consensus map or as reference genetic map for tetraploid cotton genome assembly. Stable QTL identified across multiple environments reflect some important and favorable alleles shaping fiber quality, and they are valuable candidate alleles for MAS breeding projects as well as for gene function research related to cotton fiber development and quality improvement. |
| doi_str_mv | 10.1007/s10681-014-1288-9 |
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The improvement of cotton fiber quality has become more important because of changes in spinning technology and ever-increasing demands. Mapping quantitative trait locus (QTL) for fiber quality traits will enable molecular marker-assisted selection (MAS) to improve fiber quality and provide an access to reveal the molecular mechanism of fiber development. A high-density intraspecific genetic map is constructed based on an upland cotton recombinant inbred line (RIL) population. A total of 25,313 SSR primer pairs were used and yielded 1,333 polymorphic markers, with a polymorphic ratio of 5.3 %, producing 1,382 polymorphic loci in the RIL population. The map comprised 1,274 loci and spanned 3,076.4 cM with an average distance of 2.41 cM between two adjacent markers. Based on the phenotypic data of fiber quality traits from five environments, a total of 59 QTL were detected. These QTL comprised 15 QTL for fiber upper half mean length, 10 QTL for fiber length uniformity, 9 QTL for fiber strength, 10 QTL for fiber elongation and 15 QTL for fiber micronaire, respectively. The genetic map constructed in this study is the most detailed upland cotton intraspecific map based on SSR markers to date, and could be used to construct consensus map or as reference genetic map for tetraploid cotton genome assembly. Stable QTL identified across multiple environments reflect some important and favorable alleles shaping fiber quality, and they are valuable candidate alleles for MAS breeding projects as well as for gene function research related to cotton fiber development and quality improvement.</description><identifier>ISSN: 0014-2336</identifier><identifier>EISSN: 1573-5060</identifier><identifier>DOI: 10.1007/s10681-014-1288-9</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Biomedical and Life Sciences ; Biotechnology ; Cotton ; Fibers ; Gene loci ; Gene mapping ; Genes ; Genetic markers ; Genetic research ; Genomics ; Life Sciences ; Plant Genetics and Genomics ; Plant Pathology ; Plant Physiology ; Plant Sciences ; Quantitative genetics ; Textile fabrics ; Textile fibers ; Textile industry</subject><ispartof>Euphytica, 2015-06, Vol.203 (3), p.615-628</ispartof><rights>Springer Science+Business Media Dordrecht 2014</rights><rights>COPYRIGHT 2015 Springer</rights><rights>Springer Science+Business Media Dordrecht 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-d0666d84cbfcf96e17c43e596290a11a999993c24a4da16277113f22346ad95d3</citedby><cites>FETCH-LOGICAL-c425t-d0666d84cbfcf96e17c43e596290a11a999993c24a4da16277113f22346ad95d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10681-014-1288-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10681-014-1288-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Tan, Zhaoyun</creatorcontrib><creatorcontrib>Fang, Xiaomei</creatorcontrib><creatorcontrib>Tang, Shiyi</creatorcontrib><creatorcontrib>Zhang, Jian</creatorcontrib><creatorcontrib>Liu, Dajun</creatorcontrib><creatorcontrib>Teng, Zhonghua</creatorcontrib><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Ni, Huijuan</creatorcontrib><creatorcontrib>Zheng, Fengmin</creatorcontrib><creatorcontrib>Liu, Dexin</creatorcontrib><creatorcontrib>Zhang, Tingfu</creatorcontrib><creatorcontrib>Paterson, Andrew H.</creatorcontrib><creatorcontrib>Zhang, Zhengsheng</creatorcontrib><title>Genetic map and QTL controlling fiber quality traits in upland cotton (Gossypium hirsutum L.)</title><title>Euphytica</title><addtitle>Euphytica</addtitle><description>Cotton is a leading natural fiber crop in the textile industry worldwide. The improvement of cotton fiber quality has become more important because of changes in spinning technology and ever-increasing demands. Mapping quantitative trait locus (QTL) for fiber quality traits will enable molecular marker-assisted selection (MAS) to improve fiber quality and provide an access to reveal the molecular mechanism of fiber development. A high-density intraspecific genetic map is constructed based on an upland cotton recombinant inbred line (RIL) population. A total of 25,313 SSR primer pairs were used and yielded 1,333 polymorphic markers, with a polymorphic ratio of 5.3 %, producing 1,382 polymorphic loci in the RIL population. The map comprised 1,274 loci and spanned 3,076.4 cM with an average distance of 2.41 cM between two adjacent markers. Based on the phenotypic data of fiber quality traits from five environments, a total of 59 QTL were detected. These QTL comprised 15 QTL for fiber upper half mean length, 10 QTL for fiber length uniformity, 9 QTL for fiber strength, 10 QTL for fiber elongation and 15 QTL for fiber micronaire, respectively. The genetic map constructed in this study is the most detailed upland cotton intraspecific map based on SSR markers to date, and could be used to construct consensus map or as reference genetic map for tetraploid cotton genome assembly. Stable QTL identified across multiple environments reflect some important and favorable alleles shaping fiber quality, and they are valuable candidate alleles for MAS breeding projects as well as for gene function research related to cotton fiber development and quality improvement.</description><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Cotton</subject><subject>Fibers</subject><subject>Gene loci</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genetic markers</subject><subject>Genetic research</subject><subject>Genomics</subject><subject>Life Sciences</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Pathology</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Quantitative genetics</subject><subject>Textile fabrics</subject><subject>Textile fibers</subject><subject>Textile industry</subject><issn>0014-2336</issn><issn>1573-5060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kEGP2yAQhdGqlZpm9wf0htRLe3B2Bhuwj9GqTStFWq2UHleIYJwlcrAD-JB_v1juoZfCATS8b5j3CPmCsEEA-RgRRI0FYFUgq-uiuSMr5LIsOAj4QFYwv7CyFJ_I5xjPANBIDivyurPeJmfoRY9U-5a-HPbUDD6Foe-dP9HOHW2g10n3Lt1oCtqlSJ2n09jPcjOkNHj6bTfEeBvddKFvLsQp5ct-8_2efOx0H-3D33NN_vz8cXj6Veyfd7-ftvvCVIynogUhRFtX5tiZrhEWpalKyxvBGtCIuplXaVilq1ajYFIilh1jZSV02_C2XJOvS98xDNfJxqTOwxR8_lJhjqXmXCLPqs2iOuneKue7Idsxebf24rJn27lc30qsQEqoWQZwAUzI9oLt1BjcRYebQlBz7GqJXeVw1Ry7ajLDFiZmrT_Z8M8o_4XeAerwg6k</recordid><startdate>20150601</startdate><enddate>20150601</enddate><creator>Tan, Zhaoyun</creator><creator>Fang, Xiaomei</creator><creator>Tang, Shiyi</creator><creator>Zhang, Jian</creator><creator>Liu, Dajun</creator><creator>Teng, Zhonghua</creator><creator>Li, Ling</creator><creator>Ni, Huijuan</creator><creator>Zheng, Fengmin</creator><creator>Liu, Dexin</creator><creator>Zhang, Tingfu</creator><creator>Paterson, Andrew H.</creator><creator>Zhang, Zhengsheng</creator><general>Springer Netherlands</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7TM</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>RC3</scope></search><sort><creationdate>20150601</creationdate><title>Genetic map and QTL controlling fiber quality traits in upland cotton (Gossypium hirsutum L.)</title><author>Tan, Zhaoyun ; Fang, Xiaomei ; Tang, Shiyi ; Zhang, Jian ; Liu, Dajun ; Teng, Zhonghua ; Li, Ling ; Ni, Huijuan ; Zheng, Fengmin ; Liu, Dexin ; Zhang, Tingfu ; Paterson, Andrew H. ; Zhang, Zhengsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-d0666d84cbfcf96e17c43e596290a11a999993c24a4da16277113f22346ad95d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Cotton</topic><topic>Fibers</topic><topic>Gene loci</topic><topic>Gene mapping</topic><topic>Genes</topic><topic>Genetic markers</topic><topic>Genetic research</topic><topic>Genomics</topic><topic>Life Sciences</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Pathology</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Quantitative genetics</topic><topic>Textile fabrics</topic><topic>Textile fibers</topic><topic>Textile industry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Zhaoyun</creatorcontrib><creatorcontrib>Fang, Xiaomei</creatorcontrib><creatorcontrib>Tang, Shiyi</creatorcontrib><creatorcontrib>Zhang, Jian</creatorcontrib><creatorcontrib>Liu, Dajun</creatorcontrib><creatorcontrib>Teng, Zhonghua</creatorcontrib><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Ni, Huijuan</creatorcontrib><creatorcontrib>Zheng, Fengmin</creatorcontrib><creatorcontrib>Liu, Dexin</creatorcontrib><creatorcontrib>Zhang, Tingfu</creatorcontrib><creatorcontrib>Paterson, Andrew H.</creatorcontrib><creatorcontrib>Zhang, Zhengsheng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><jtitle>Euphytica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Zhaoyun</au><au>Fang, Xiaomei</au><au>Tang, Shiyi</au><au>Zhang, Jian</au><au>Liu, Dajun</au><au>Teng, Zhonghua</au><au>Li, Ling</au><au>Ni, Huijuan</au><au>Zheng, Fengmin</au><au>Liu, Dexin</au><au>Zhang, Tingfu</au><au>Paterson, Andrew H.</au><au>Zhang, Zhengsheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic map and QTL controlling fiber quality traits in upland cotton (Gossypium hirsutum L.)</atitle><jtitle>Euphytica</jtitle><stitle>Euphytica</stitle><date>2015-06-01</date><risdate>2015</risdate><volume>203</volume><issue>3</issue><spage>615</spage><epage>628</epage><pages>615-628</pages><issn>0014-2336</issn><eissn>1573-5060</eissn><abstract>Cotton is a leading natural fiber crop in the textile industry worldwide. The improvement of cotton fiber quality has become more important because of changes in spinning technology and ever-increasing demands. Mapping quantitative trait locus (QTL) for fiber quality traits will enable molecular marker-assisted selection (MAS) to improve fiber quality and provide an access to reveal the molecular mechanism of fiber development. A high-density intraspecific genetic map is constructed based on an upland cotton recombinant inbred line (RIL) population. A total of 25,313 SSR primer pairs were used and yielded 1,333 polymorphic markers, with a polymorphic ratio of 5.3 %, producing 1,382 polymorphic loci in the RIL population. The map comprised 1,274 loci and spanned 3,076.4 cM with an average distance of 2.41 cM between two adjacent markers. Based on the phenotypic data of fiber quality traits from five environments, a total of 59 QTL were detected. These QTL comprised 15 QTL for fiber upper half mean length, 10 QTL for fiber length uniformity, 9 QTL for fiber strength, 10 QTL for fiber elongation and 15 QTL for fiber micronaire, respectively. The genetic map constructed in this study is the most detailed upland cotton intraspecific map based on SSR markers to date, and could be used to construct consensus map or as reference genetic map for tetraploid cotton genome assembly. Stable QTL identified across multiple environments reflect some important and favorable alleles shaping fiber quality, and they are valuable candidate alleles for MAS breeding projects as well as for gene function research related to cotton fiber development and quality improvement.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10681-014-1288-9</doi><tpages>14</tpages></addata></record> |
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| subjects | Biomedical and Life Sciences Biotechnology Cotton Fibers Gene loci Gene mapping Genes Genetic markers Genetic research Genomics Life Sciences Plant Genetics and Genomics Plant Pathology Plant Physiology Plant Sciences Quantitative genetics Textile fabrics Textile fibers Textile industry |
| title | Genetic map and QTL controlling fiber quality traits in upland cotton (Gossypium hirsutum L.) |
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