Analysis of genetic control and QTL mapping of essential wheat grain quality traits in a recombinant inbred population
Wheat cultivars are genetically crossed to improve end-use quality for traits as per demands of baking industry and broad consumer preferences. The processing and baking qualities of bread wheat are influenced by a variety of genetic make-ups, environmental factors and their interactions. Two wheat...
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| creator | Goel, Sonia Singh, Kalpana Singh, Balwant Grewal, Sapna Dwivedi, Neeta Alqarawi, Abdulaziz A Abd Allah, Elsayed Fathi Ahmad, Parvaiz Singh, N K |
| description | Wheat cultivars are genetically crossed to improve end-use quality for traits as per demands of baking industry and broad consumer preferences. The processing and baking qualities of bread wheat are influenced by a variety of genetic make-ups, environmental factors and their interactions. Two wheat cultivars, WL711 and C306, derived recombinant inbred lines (RILs) with a population of 206, were used for phenotyping of quality-related traits. The genetic analysis of quality traits showed considerable variation for measurable quality traits, with normal distribution and transgressive segregation across the years. From the 206 RILs, few RILs were found to be superior to those of the parental cultivars for key quality traits, indicating their potential use for the improvement of end-use quality and suggesting the probability of finding new alleles and allelic combinations from the RIL population. Mapping analysis identified 38 putative QTLs for 13 quality-related traits, with QTLs explaining 7.9-16.8% phenotypic variation spanning over 14 chromosomes, i.e., 1A, 1B, 1D, 2A, 2D, 3B, 3D, 4A, 4B, 4D, 5D, 6A, 7A and 7B. In-silico analysis based on homology to the annotated wheat genes present in database, identified six putative candidate genes within QTL for total grain protein content, qGPC.1B.1 region. Major QTL regions for other quality traits such as TKW have been identified on 1B, 2A, and 7A chromosomes in the studied RIL population. This study revealed the importance of the combination of stable QTLs with region-specific QTLs for better phenotyping, and the QTLs presented in our study will be useful for the improvement of wheat grain and bread-making quality. |
| doi_str_mv | 10.1371/journal.pone.0200669 |
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The processing and baking qualities of bread wheat are influenced by a variety of genetic make-ups, environmental factors and their interactions. Two wheat cultivars, WL711 and C306, derived recombinant inbred lines (RILs) with a population of 206, were used for phenotyping of quality-related traits. The genetic analysis of quality traits showed considerable variation for measurable quality traits, with normal distribution and transgressive segregation across the years. From the 206 RILs, few RILs were found to be superior to those of the parental cultivars for key quality traits, indicating their potential use for the improvement of end-use quality and suggesting the probability of finding new alleles and allelic combinations from the RIL population. Mapping analysis identified 38 putative QTLs for 13 quality-related traits, with QTLs explaining 7.9-16.8% phenotypic variation spanning over 14 chromosomes, i.e., 1A, 1B, 1D, 2A, 2D, 3B, 3D, 4A, 4B, 4D, 5D, 6A, 7A and 7B. In-silico analysis based on homology to the annotated wheat genes present in database, identified six putative candidate genes within QTL for total grain protein content, qGPC.1B.1 region. Major QTL regions for other quality traits such as TKW have been identified on 1B, 2A, and 7A chromosomes in the studied RIL population. This study revealed the importance of the combination of stable QTLs with region-specific QTLs for better phenotyping, and the QTLs presented in our study will be useful for the improvement of wheat grain and bread-making quality.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0200669</identifier><identifier>PMID: 30840619</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agricultural production ; Agriculture ; Alleles ; Baked goods industry ; Baking ; Biology and Life Sciences ; Biotechnology ; Bread ; Chromosome mapping ; Chromosome Mapping - methods ; Chromosomes ; Chromosomes, Plant - genetics ; Consumer behavior ; Consumer preferences ; Crop science ; Cultivars ; Environmental factors ; Food ; Food Quality ; Gene Expression Regulation, Plant ; Gene mapping ; Genes ; Genetic analysis ; Genetic aspects ; Genetic control ; Genetic Linkage ; Genetics ; Genomics ; Genotype ; Grain ; Homology ; Inbreeding ; Mapping ; Normal distribution ; Phenotype ; Phenotypic variations ; Phenotyping ; Physical Sciences ; Plant Breeding - methods ; Plant Proteins - genetics ; Population ; Population genetics ; Population studies ; Product quality ; Proteins ; Quantitative genetics ; Quantitative Trait Loci ; Research and Analysis Methods ; Rheology ; Statistical analysis ; Triticum - genetics ; Triticum - growth & development ; Wheat</subject><ispartof>PloS one, 2019-03, Vol.14 (3), p.e0200669-e0200669</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Goel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Goel et al 2019 Goel et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-2f2aa83d9dabfff0bc84f9992c7050de4229d90f1c9c8b560baac009e8c198d23</citedby><cites>FETCH-LOGICAL-c692t-2f2aa83d9dabfff0bc84f9992c7050de4229d90f1c9c8b560baac009e8c198d23</cites><orcidid>0000-0003-2734-4180</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402682/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402682/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30840619$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Goel, Sonia</creatorcontrib><creatorcontrib>Singh, Kalpana</creatorcontrib><creatorcontrib>Singh, Balwant</creatorcontrib><creatorcontrib>Grewal, Sapna</creatorcontrib><creatorcontrib>Dwivedi, Neeta</creatorcontrib><creatorcontrib>Alqarawi, Abdulaziz A</creatorcontrib><creatorcontrib>Abd Allah, Elsayed Fathi</creatorcontrib><creatorcontrib>Ahmad, Parvaiz</creatorcontrib><creatorcontrib>Singh, N K</creatorcontrib><title>Analysis of genetic control and QTL mapping of essential wheat grain quality traits in a recombinant inbred population</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Wheat cultivars are genetically crossed to improve end-use quality for traits as per demands of baking industry and broad consumer preferences. The processing and baking qualities of bread wheat are influenced by a variety of genetic make-ups, environmental factors and their interactions. Two wheat cultivars, WL711 and C306, derived recombinant inbred lines (RILs) with a population of 206, were used for phenotyping of quality-related traits. The genetic analysis of quality traits showed considerable variation for measurable quality traits, with normal distribution and transgressive segregation across the years. From the 206 RILs, few RILs were found to be superior to those of the parental cultivars for key quality traits, indicating their potential use for the improvement of end-use quality and suggesting the probability of finding new alleles and allelic combinations from the RIL population. Mapping analysis identified 38 putative QTLs for 13 quality-related traits, with QTLs explaining 7.9-16.8% phenotypic variation spanning over 14 chromosomes, i.e., 1A, 1B, 1D, 2A, 2D, 3B, 3D, 4A, 4B, 4D, 5D, 6A, 7A and 7B. In-silico analysis based on homology to the annotated wheat genes present in database, identified six putative candidate genes within QTL for total grain protein content, qGPC.1B.1 region. Major QTL regions for other quality traits such as TKW have been identified on 1B, 2A, and 7A chromosomes in the studied RIL population. This study revealed the importance of the combination of stable QTLs with region-specific QTLs for better phenotyping, and the QTLs presented in our study will be useful for the improvement of wheat grain and bread-making quality.</description><subject>Agricultural production</subject><subject>Agriculture</subject><subject>Alleles</subject><subject>Baked goods industry</subject><subject>Baking</subject><subject>Biology and Life Sciences</subject><subject>Biotechnology</subject><subject>Bread</subject><subject>Chromosome mapping</subject><subject>Chromosome Mapping - methods</subject><subject>Chromosomes</subject><subject>Chromosomes, Plant - genetics</subject><subject>Consumer behavior</subject><subject>Consumer preferences</subject><subject>Crop science</subject><subject>Cultivars</subject><subject>Environmental factors</subject><subject>Food</subject><subject>Food Quality</subject><subject>Gene Expression Regulation, Plant</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genetic analysis</subject><subject>Genetic aspects</subject><subject>Genetic control</subject><subject>Genetic Linkage</subject><subject>Genetics</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Grain</subject><subject>Homology</subject><subject>Inbreeding</subject><subject>Mapping</subject><subject>Normal distribution</subject><subject>Phenotype</subject><subject>Phenotypic variations</subject><subject>Phenotyping</subject><subject>Physical Sciences</subject><subject>Plant Breeding - methods</subject><subject>Plant Proteins - genetics</subject><subject>Population</subject><subject>Population genetics</subject><subject>Population studies</subject><subject>Product quality</subject><subject>Proteins</subject><subject>Quantitative genetics</subject><subject>Quantitative Trait Loci</subject><subject>Research and Analysis Methods</subject><subject>Rheology</subject><subject>Statistical analysis</subject><subject>Triticum - genetics</subject><subject>Triticum - growth & development</subject><subject>Wheat</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBYQkJw0eI4H7VvkKqJj0qVJmBwa504durJsTPbGfTf46zd1KJdoFwkOXnOa_vNe7LsZY7nebHIP1y50Vsw88FZOccE47pmj7LTnBVkVhNcPD54PsmehXCFcVXQun6anRSYlrjO2Wl2s0wa26ADcgp10sqoBRLORu8MAtuib5dr1MMwaNtNiAxB2qjBoN8bCRF1HrRF1yMYHbcoprcYUKoA8lK4vtEWbEyFxssWDW4YDUTt7PPsiQIT5Iv9_Sz7-fnT5fnX2friy-p8uZ6JmpE4I4oA0KJlLTRKKdwIWirGGBELXOFWloSwlmGVCyZoU9W4ARAYM0lFzmhLirPs9U53MC7wvWWBk5yyvKCUFYlY7YjWwRUfvO7Bb7kDzW8LznccfDLFSC6xIEXDKFSLsiyhBqgE4FaVNQUlGSStj_vVxqaXrUhOeTBHosdfrN7wzt3wusSkptN23-0FvLseZYi810FIY8BKN97umzJa5DRP6Jt_0IdPt6c6SAfQVrm0rphE-bJaLFIOWIkTNX-ASlcre53CIJVO9aOG90cNU2Dkn9jBGAJf_fj-_-zFr2P27QGbAmbiJjgzTpEJx2C5A4V3IXip7k3OMZ_G484NPo0H349Hant1-IPum-7mofgLP1kMsQ</recordid><startdate>20190306</startdate><enddate>20190306</enddate><creator>Goel, Sonia</creator><creator>Singh, Kalpana</creator><creator>Singh, Balwant</creator><creator>Grewal, Sapna</creator><creator>Dwivedi, Neeta</creator><creator>Alqarawi, Abdulaziz A</creator><creator>Abd Allah, Elsayed Fathi</creator><creator>Ahmad, Parvaiz</creator><creator>Singh, N K</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2734-4180</orcidid></search><sort><creationdate>20190306</creationdate><title>Analysis of genetic control and QTL mapping of essential wheat grain quality traits in a recombinant inbred population</title><author>Goel, Sonia ; Singh, Kalpana ; Singh, Balwant ; Grewal, Sapna ; Dwivedi, Neeta ; Alqarawi, Abdulaziz A ; Abd Allah, Elsayed Fathi ; Ahmad, Parvaiz ; Singh, N K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-2f2aa83d9dabfff0bc84f9992c7050de4229d90f1c9c8b560baac009e8c198d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural production</topic><topic>Agriculture</topic><topic>Alleles</topic><topic>Baked goods industry</topic><topic>Baking</topic><topic>Biology and Life Sciences</topic><topic>Biotechnology</topic><topic>Bread</topic><topic>Chromosome mapping</topic><topic>Chromosome Mapping - 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The processing and baking qualities of bread wheat are influenced by a variety of genetic make-ups, environmental factors and their interactions. Two wheat cultivars, WL711 and C306, derived recombinant inbred lines (RILs) with a population of 206, were used for phenotyping of quality-related traits. The genetic analysis of quality traits showed considerable variation for measurable quality traits, with normal distribution and transgressive segregation across the years. From the 206 RILs, few RILs were found to be superior to those of the parental cultivars for key quality traits, indicating their potential use for the improvement of end-use quality and suggesting the probability of finding new alleles and allelic combinations from the RIL population. Mapping analysis identified 38 putative QTLs for 13 quality-related traits, with QTLs explaining 7.9-16.8% phenotypic variation spanning over 14 chromosomes, i.e., 1A, 1B, 1D, 2A, 2D, 3B, 3D, 4A, 4B, 4D, 5D, 6A, 7A and 7B. In-silico analysis based on homology to the annotated wheat genes present in database, identified six putative candidate genes within QTL for total grain protein content, qGPC.1B.1 region. Major QTL regions for other quality traits such as TKW have been identified on 1B, 2A, and 7A chromosomes in the studied RIL population. This study revealed the importance of the combination of stable QTLs with region-specific QTLs for better phenotyping, and the QTLs presented in our study will be useful for the improvement of wheat grain and bread-making quality.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30840619</pmid><doi>10.1371/journal.pone.0200669</doi><orcidid>https://orcid.org/0000-0003-2734-4180</orcidid><oa>free_for_read</oa></addata></record> |
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| issn | 1932-6203 1932-6203 |
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| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Agricultural production Agriculture Alleles Baked goods industry Baking Biology and Life Sciences Biotechnology Bread Chromosome mapping Chromosome Mapping - methods Chromosomes Chromosomes, Plant - genetics Consumer behavior Consumer preferences Crop science Cultivars Environmental factors Food Food Quality Gene Expression Regulation, Plant Gene mapping Genes Genetic analysis Genetic aspects Genetic control Genetic Linkage Genetics Genomics Genotype Grain Homology Inbreeding Mapping Normal distribution Phenotype Phenotypic variations Phenotyping Physical Sciences Plant Breeding - methods Plant Proteins - genetics Population Population genetics Population studies Product quality Proteins Quantitative genetics Quantitative Trait Loci Research and Analysis Methods Rheology Statistical analysis Triticum - genetics Triticum - growth & development Wheat |
| title | Analysis of genetic control and QTL mapping of essential wheat grain quality traits in a recombinant inbred population |
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