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Genome-Wide Linkage Mapping of Quantitative Trait Loci for Late-Season Physiological and Agronomic Traits in Spring Wheat under Irrigated Conditions
Many late-season physiological traits affect grain yield in wheat, either directly or indirectly. However, information on the genetic control of yield-related traits is still limited. In this study, we aimed to identify quantitative trait loci (QTL) for canopy temperature and chlorophyll content ind...
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Published in: | Agronomy (Basel) 2018, Vol.8 (5), p.60 |
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description | Many late-season physiological traits affect grain yield in wheat, either directly or indirectly. However, information on the genetic control of yield-related traits is still limited. In this study, we aimed to identify quantitative trait loci (QTL) for canopy temperature and chlorophyll content index during anthesis (CTa and CCIa, respectively), the mid grain-filling stage (CTg1 and CCIg1, respectively), and the late grain-filling stage (CTg2 and CCIg2, respectively) as well as for plant height (PH), thousand kernels weight (TKW), and grain yield (GY) using genome-wide linkage mapping. To this end, a double haploid population derived from a cross between two high yielding wheat cultivars, UI Platinum and SY Capstone, was phenotyped in four irrigated environments and genotyped using the wheat 90K iSelect platform and simple sequence repeats. The genotypic data were used to construct a high-density genetic map of 43 linkage groups (LGs) with a total length of 3594.0 cm and a marker density of 0.37 cm. A total of 116 QTL for all nine traits was detected on 33 LGs, spreading to all wheat chromosomes, except for Chr. 7D. Of these, six QTL (CTa.ui-4B.1, Q.CTg1.ui-5B-2.1, Q.CTg2.ui-6B.1, Q.PH.ui-6A-2.1, Q.TKW.ui-2D-1, and Q.GY.ui-6B) were consistently detected in more than three irrigated environments, called as stable QTL. Additionally, we identified 26 QTL clusters for more than two traits, of which the top four were located on Chromosomes 4A-1, 1B-1, 5B-2, and 2D-1. Overall, the stable QTL significantly related with grain yield, QTL clusters, and linked molecular markers identified in this study, may be useful in marker-assisted selection in early generation and early growth stage for grain yield improvement. |
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However, information on the genetic control of yield-related traits is still limited. In this study, we aimed to identify quantitative trait loci (QTL) for canopy temperature and chlorophyll content index during anthesis (CTa and CCIa, respectively), the mid grain-filling stage (CTg1 and CCIg1, respectively), and the late grain-filling stage (CTg2 and CCIg2, respectively) as well as for plant height (PH), thousand kernels weight (TKW), and grain yield (GY) using genome-wide linkage mapping. To this end, a double haploid population derived from a cross between two high yielding wheat cultivars, UI Platinum and SY Capstone, was phenotyped in four irrigated environments and genotyped using the wheat 90K iSelect platform and simple sequence repeats. The genotypic data were used to construct a high-density genetic map of 43 linkage groups (LGs) with a total length of 3594.0 cm and a marker density of 0.37 cm. A total of 116 QTL for all nine traits was detected on 33 LGs, spreading to all wheat chromosomes, except for Chr. 7D. Of these, six QTL (CTa.ui-4B.1, Q.CTg1.ui-5B-2.1, Q.CTg2.ui-6B.1, Q.PH.ui-6A-2.1, Q.TKW.ui-2D-1, and Q.GY.ui-6B) were consistently detected in more than three irrigated environments, called as stable QTL. Additionally, we identified 26 QTL clusters for more than two traits, of which the top four were located on Chromosomes 4A-1, 1B-1, 5B-2, and 2D-1. Overall, the stable QTL significantly related with grain yield, QTL clusters, and linked molecular markers identified in this study, may be useful in marker-assisted selection in early generation and early growth stage for grain yield improvement.</description><identifier>ISSN: 2073-4395</identifier><identifier>EISSN: 2073-4395</identifier><identifier>DOI: 10.3390/agronomy8050060</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>90K SNP ; Agronomy ; canopy temperature ; Chlorophyll ; chlorophyll content index ; Chromosomes ; Clusters ; Crop yield ; Cultivars ; Density ; Gene mapping ; Genetic control ; Genomes ; Genotype & phenotype ; Grain ; grain yield ; Growth stage ; linkage mapping ; Mapping ; Marker-assisted selection ; Molecular chains ; Phenotypes ; Physiology ; plant height ; Platinum ; QTL ; Quantitative trait loci ; Simple sequence repeats ; Spring wheat ; Triticum aestivum ; Wheat</subject><ispartof>Agronomy (Basel), 2018, Vol.8 (5), p.60</ispartof><rights>Copyright MDPI AG 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-531fa6175bc5edceb660335cce5009b5b046cb081ea9edeff9e30dd9c858a6083</citedby><cites>FETCH-LOGICAL-c376t-531fa6175bc5edceb660335cce5009b5b046cb081ea9edeff9e30dd9c858a6083</cites><orcidid>0000-0002-5731-7557</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2056449301/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2056449301?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,4010,25734,27904,27905,27906,36993,44571,74875</link.rule.ids></links><search><creatorcontrib>Liu, Yuxiu</creatorcontrib><creatorcontrib>Wang, Rui</creatorcontrib><creatorcontrib>Hu, Yin-gang</creatorcontrib><creatorcontrib>Chen, Jianli</creatorcontrib><title>Genome-Wide Linkage Mapping of Quantitative Trait Loci for Late-Season Physiological and Agronomic Traits in Spring Wheat under Irrigated Conditions</title><title>Agronomy (Basel)</title><description>Many late-season physiological traits affect grain yield in wheat, either directly or indirectly. However, information on the genetic control of yield-related traits is still limited. In this study, we aimed to identify quantitative trait loci (QTL) for canopy temperature and chlorophyll content index during anthesis (CTa and CCIa, respectively), the mid grain-filling stage (CTg1 and CCIg1, respectively), and the late grain-filling stage (CTg2 and CCIg2, respectively) as well as for plant height (PH), thousand kernels weight (TKW), and grain yield (GY) using genome-wide linkage mapping. To this end, a double haploid population derived from a cross between two high yielding wheat cultivars, UI Platinum and SY Capstone, was phenotyped in four irrigated environments and genotyped using the wheat 90K iSelect platform and simple sequence repeats. The genotypic data were used to construct a high-density genetic map of 43 linkage groups (LGs) with a total length of 3594.0 cm and a marker density of 0.37 cm. A total of 116 QTL for all nine traits was detected on 33 LGs, spreading to all wheat chromosomes, except for Chr. 7D. Of these, six QTL (CTa.ui-4B.1, Q.CTg1.ui-5B-2.1, Q.CTg2.ui-6B.1, Q.PH.ui-6A-2.1, Q.TKW.ui-2D-1, and Q.GY.ui-6B) were consistently detected in more than three irrigated environments, called as stable QTL. Additionally, we identified 26 QTL clusters for more than two traits, of which the top four were located on Chromosomes 4A-1, 1B-1, 5B-2, and 2D-1. Overall, the stable QTL significantly related with grain yield, QTL clusters, and linked molecular markers identified in this study, may be useful in marker-assisted selection in early generation and early growth stage for grain yield improvement.</description><subject>90K SNP</subject><subject>Agronomy</subject><subject>canopy temperature</subject><subject>Chlorophyll</subject><subject>chlorophyll content index</subject><subject>Chromosomes</subject><subject>Clusters</subject><subject>Crop yield</subject><subject>Cultivars</subject><subject>Density</subject><subject>Gene mapping</subject><subject>Genetic control</subject><subject>Genomes</subject><subject>Genotype & phenotype</subject><subject>Grain</subject><subject>grain yield</subject><subject>Growth stage</subject><subject>linkage mapping</subject><subject>Mapping</subject><subject>Marker-assisted selection</subject><subject>Molecular chains</subject><subject>Phenotypes</subject><subject>Physiology</subject><subject>plant height</subject><subject>Platinum</subject><subject>QTL</subject><subject>Quantitative trait loci</subject><subject>Simple sequence repeats</subject><subject>Spring wheat</subject><subject>Triticum aestivum</subject><subject>Wheat</subject><issn>2073-4395</issn><issn>2073-4395</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkcFqHDEMhofSQEOac6-GnqeR47F3fAxLmy5MaENSchw0tjzxdmNvbW9h36MPHKdTSqkuEuLXpx-pad5x-CCEhgucUwzx6diDBFDwqjm9hJVoO6Hl63_qN815zluoobnoYXXa_LqmOkftg7fEBh--40zsBvd7H2YWHbs9YCi-YPE_id0n9IUN0XjmYmIDFmrvCHMM7OvjMfu4i7M3uGMYLLtaLHmzjGXmA7vbpxfuwyNhYYdgKbFNSn6uIMvWMVhffAz5bXPicJfp_E8-a759-ni__twOX64366uhNWKlSisFd6j4Sk5GkjU0KQVCSGOoHkFPcoJOmQl6TqjJknOaBFirTS97VNCLs2azcG3E7Vi9PWE6jhH9-LsR0zxiKt7saFSVxp0icBo6hzBxgq7CekG9dRYq6_3C2qf440C5jNt4SKHaHy9Bqq7TAnhVXSwqk2LOidzfrRzGl0-O_31SPAOnGZWL</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Liu, Yuxiu</creator><creator>Wang, Rui</creator><creator>Hu, Yin-gang</creator><creator>Chen, Jianli</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T7</scope><scope>7TM</scope><scope>7X2</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>P64</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5731-7557</orcidid></search><sort><creationdate>2018</creationdate><title>Genome-Wide Linkage Mapping of Quantitative Trait Loci for Late-Season Physiological and Agronomic Traits in Spring Wheat under Irrigated Conditions</title><author>Liu, Yuxiu ; Wang, Rui ; Hu, Yin-gang ; Chen, Jianli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-531fa6175bc5edceb660335cce5009b5b046cb081ea9edeff9e30dd9c858a6083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>90K SNP</topic><topic>Agronomy</topic><topic>canopy temperature</topic><topic>Chlorophyll</topic><topic>chlorophyll content index</topic><topic>Chromosomes</topic><topic>Clusters</topic><topic>Crop yield</topic><topic>Cultivars</topic><topic>Density</topic><topic>Gene mapping</topic><topic>Genetic control</topic><topic>Genomes</topic><topic>Genotype & phenotype</topic><topic>Grain</topic><topic>grain yield</topic><topic>Growth stage</topic><topic>linkage mapping</topic><topic>Mapping</topic><topic>Marker-assisted selection</topic><topic>Molecular chains</topic><topic>Phenotypes</topic><topic>Physiology</topic><topic>plant height</topic><topic>Platinum</topic><topic>QTL</topic><topic>Quantitative trait loci</topic><topic>Simple sequence repeats</topic><topic>Spring wheat</topic><topic>Triticum aestivum</topic><topic>Wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yuxiu</creatorcontrib><creatorcontrib>Wang, Rui</creatorcontrib><creatorcontrib>Hu, Yin-gang</creatorcontrib><creatorcontrib>Chen, Jianli</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Agricultural Science Collection</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)</collection><collection>ProQuest Central</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>Agriculture Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content 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>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Agronomy (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Yuxiu</au><au>Wang, Rui</au><au>Hu, Yin-gang</au><au>Chen, Jianli</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genome-Wide Linkage Mapping of Quantitative Trait Loci for Late-Season Physiological and Agronomic Traits in Spring Wheat under Irrigated Conditions</atitle><jtitle>Agronomy (Basel)</jtitle><date>2018</date><risdate>2018</risdate><volume>8</volume><issue>5</issue><spage>60</spage><pages>60-</pages><issn>2073-4395</issn><eissn>2073-4395</eissn><abstract>Many late-season physiological traits affect grain yield in wheat, either directly or indirectly. However, information on the genetic control of yield-related traits is still limited. In this study, we aimed to identify quantitative trait loci (QTL) for canopy temperature and chlorophyll content index during anthesis (CTa and CCIa, respectively), the mid grain-filling stage (CTg1 and CCIg1, respectively), and the late grain-filling stage (CTg2 and CCIg2, respectively) as well as for plant height (PH), thousand kernels weight (TKW), and grain yield (GY) using genome-wide linkage mapping. To this end, a double haploid population derived from a cross between two high yielding wheat cultivars, UI Platinum and SY Capstone, was phenotyped in four irrigated environments and genotyped using the wheat 90K iSelect platform and simple sequence repeats. The genotypic data were used to construct a high-density genetic map of 43 linkage groups (LGs) with a total length of 3594.0 cm and a marker density of 0.37 cm. A total of 116 QTL for all nine traits was detected on 33 LGs, spreading to all wheat chromosomes, except for Chr. 7D. Of these, six QTL (CTa.ui-4B.1, Q.CTg1.ui-5B-2.1, Q.CTg2.ui-6B.1, Q.PH.ui-6A-2.1, Q.TKW.ui-2D-1, and Q.GY.ui-6B) were consistently detected in more than three irrigated environments, called as stable QTL. Additionally, we identified 26 QTL clusters for more than two traits, of which the top four were located on Chromosomes 4A-1, 1B-1, 5B-2, and 2D-1. Overall, the stable QTL significantly related with grain yield, QTL clusters, and linked molecular markers identified in this study, may be useful in marker-assisted selection in early generation and early growth stage for grain yield improvement.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/agronomy8050060</doi><orcidid>https://orcid.org/0000-0002-5731-7557</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 90K SNP Agronomy canopy temperature Chlorophyll chlorophyll content index Chromosomes Clusters Crop yield Cultivars Density Gene mapping Genetic control Genomes Genotype & phenotype Grain grain yield Growth stage linkage mapping Mapping Marker-assisted selection Molecular chains Phenotypes Physiology plant height Platinum QTL Quantitative trait loci Simple sequence repeats Spring wheat Triticum aestivum Wheat |
title | Genome-Wide Linkage Mapping of Quantitative Trait Loci for Late-Season Physiological and Agronomic Traits in Spring Wheat under Irrigated Conditions |
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