Identification of QTL affecting seed mineral concentrations and content in the model legume Medicago truncatula
Increasing the amount of bioavailable micronutrients such as iron and zinc in plant foods for human consumption is an international goal, intended especially for developing countries where micronutrient deficiencies are an ongoing health risk. Legume seeds have the potential to provide the essential...
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description | Increasing the amount of bioavailable micronutrients such as iron and zinc in plant foods for human consumption is an international goal, intended especially for developing countries where micronutrient deficiencies are an ongoing health risk. Legume seeds have the potential to provide the essential nutrients required by humans, but concentrations of several minerals are low when compared to other foods. In order to increase seed mineral concentrations, it is important to understand the genes and processes involved in mineral distribution within the plant. The main objectives of this study were to use a
Medicago truncatula
recombinant inbred population (Jemalong-6 × DZA 315.16) to determine loci governing seed mineral concentrations, seed mineral content, and average seed weight, and to use these loci to propose candidate genes whose expression might contribute to these traits. Ninety-three lines in 2004 and 169 lines in 2006 were grown for seed harvest and subsequent analysis of seed Ca, Cu, Fe, K, Mg, Mn, P, and Zn concentrations and content. Quantitative trait loci (QTL) cartographer was used to identify QTL using composite interval mapping (CIM). CIM identified 46 QTL for seed mineral concentration, 26 for seed mineral content, and 3 for average seed weight. At least one QTL was detected for each mineral trait, and colocation of QTL for several minerals was found in both years. Results comparing seed weight with seed mineral concentration and content QTL demonstrate that seed size can be an important determinant of seed mineral concentration. The identification, in this model legume, of transgressive segregation for nearly all the minerals suggests that allelic recombination of relevant mineral-related genes in agronomic legumes could be a successful strategy to increase seed mineral concentrations above current levels. |
doi_str_mv | 10.1007/s00122-009-1033-2 |
format | Article |
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Medicago truncatula
recombinant inbred population (Jemalong-6 × DZA 315.16) to determine loci governing seed mineral concentrations, seed mineral content, and average seed weight, and to use these loci to propose candidate genes whose expression might contribute to these traits. Ninety-three lines in 2004 and 169 lines in 2006 were grown for seed harvest and subsequent analysis of seed Ca, Cu, Fe, K, Mg, Mn, P, and Zn concentrations and content. Quantitative trait loci (QTL) cartographer was used to identify QTL using composite interval mapping (CIM). CIM identified 46 QTL for seed mineral concentration, 26 for seed mineral content, and 3 for average seed weight. At least one QTL was detected for each mineral trait, and colocation of QTL for several minerals was found in both years. Results comparing seed weight with seed mineral concentration and content QTL demonstrate that seed size can be an important determinant of seed mineral concentration. The identification, in this model legume, of transgressive segregation for nearly all the minerals suggests that allelic recombination of relevant mineral-related genes in agronomic legumes could be a successful strategy to increase seed mineral concentrations above current levels.</description><identifier>ISSN: 0040-5752</identifier><identifier>EISSN: 1432-2242</identifier><identifier>DOI: 10.1007/s00122-009-1033-2</identifier><identifier>PMID: 19396421</identifier><identifier>CODEN: THAGA6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Agriculture ; Bioavailability ; Biochemistry ; Biological and medical sciences ; Biomass ; Biomedical and Life Sciences ; Biotechnology ; Breeding ; Chromosome Mapping ; Classical genetics, quantitative genetics, hybrids ; Developing countries ; Dietary minerals ; Food ; Fundamental and applied biological sciences. Psychology ; Genes, Plant ; Genetic Linkage ; Genetics of eukaryotes. Biological and molecular evolution ; LDCs ; Legumes ; Life Sciences ; Medicago truncatula - genetics ; Medicago truncatula - metabolism ; Minerals - metabolism ; Models, Biological ; Nutrients ; Nutrition research ; Original Paper ; Plant Biochemistry ; Plant Breeding/Biotechnology ; Plant Genetics and Genomics ; Pteridophyta, spermatophyta ; Quantitative Trait Loci - genetics ; Seeds ; Seeds - genetics ; Seeds - metabolism ; Vegetals ; Zinc</subject><ispartof>Theoretical and applied genetics, 2009-07, Vol.119 (2), p.241-253</ispartof><rights>Springer-Verlag 2009</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c465t-1eff027f658118f097a6263c9a089e5ea11a8fe96fb413ce85c4f92595a8d8893</citedby><cites>FETCH-LOGICAL-c465t-1eff027f658118f097a6263c9a089e5ea11a8fe96fb413ce85c4f92595a8d8893</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/s00122-009-1033-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00122-009-1033-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21677412$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19396421$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sankaran, Renuka P.</creatorcontrib><creatorcontrib>Huguet, Thierry</creatorcontrib><creatorcontrib>Grusak, Michael A.</creatorcontrib><title>Identification of QTL affecting seed mineral concentrations and content in the model legume Medicago truncatula</title><title>Theoretical and applied genetics</title><addtitle>Theor Appl Genet</addtitle><addtitle>Theor Appl Genet</addtitle><description>Increasing the amount of bioavailable micronutrients such as iron and zinc in plant foods for human consumption is an international goal, intended especially for developing countries where micronutrient deficiencies are an ongoing health risk. Legume seeds have the potential to provide the essential nutrients required by humans, but concentrations of several minerals are low when compared to other foods. In order to increase seed mineral concentrations, it is important to understand the genes and processes involved in mineral distribution within the plant. The main objectives of this study were to use a
Medicago truncatula
recombinant inbred population (Jemalong-6 × DZA 315.16) to determine loci governing seed mineral concentrations, seed mineral content, and average seed weight, and to use these loci to propose candidate genes whose expression might contribute to these traits. Ninety-three lines in 2004 and 169 lines in 2006 were grown for seed harvest and subsequent analysis of seed Ca, Cu, Fe, K, Mg, Mn, P, and Zn concentrations and content. Quantitative trait loci (QTL) cartographer was used to identify QTL using composite interval mapping (CIM). CIM identified 46 QTL for seed mineral concentration, 26 for seed mineral content, and 3 for average seed weight. At least one QTL was detected for each mineral trait, and colocation of QTL for several minerals was found in both years. Results comparing seed weight with seed mineral concentration and content QTL demonstrate that seed size can be an important determinant of seed mineral concentration. The identification, in this model legume, of transgressive segregation for nearly all the minerals suggests that allelic recombination of relevant mineral-related genes in agronomic legumes could be a successful strategy to increase seed mineral concentrations above current levels.</description><subject>Agriculture</subject><subject>Bioavailability</subject><subject>Biochemistry</subject><subject>Biological and medical sciences</subject><subject>Biomass</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Breeding</subject><subject>Chromosome Mapping</subject><subject>Classical genetics, quantitative genetics, hybrids</subject><subject>Developing countries</subject><subject>Dietary minerals</subject><subject>Food</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genes, Plant</subject><subject>Genetic Linkage</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>LDCs</subject><subject>Legumes</subject><subject>Life Sciences</subject><subject>Medicago truncatula - genetics</subject><subject>Medicago truncatula - metabolism</subject><subject>Minerals - metabolism</subject><subject>Models, Biological</subject><subject>Nutrients</subject><subject>Nutrition research</subject><subject>Original Paper</subject><subject>Plant Biochemistry</subject><subject>Plant Breeding/Biotechnology</subject><subject>Plant Genetics and Genomics</subject><subject>Pteridophyta, spermatophyta</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Seeds</subject><subject>Seeds - genetics</subject><subject>Seeds - metabolism</subject><subject>Vegetals</subject><subject>Zinc</subject><issn>0040-5752</issn><issn>1432-2242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU2LFDEQhoO4uOPoD_AiQdBbr5V0PjpHWfxYGFmE9Ryy6cqYpTtZk-7D_vvNOIMLgqeCqqfeeqmXkDcMLhiA_lgBGOcdgOkY9H3Hn5ENEz3vOBf8OdkACOiklvycvKz1DgC4hP4FOWemN0pwtiH5asS0xBC9W2JONAf642ZHXQjol5j2tCKOdI4Ji5uoz8k3vPxhK3VpPLSW1qIx0eUX0jmPONEJ9-uM9DuOTXef6VLW1A6sk3tFzoKbKr4-1S35-eXzzeW3bnf99ery067zQsmlYxgCcB2UHBgbAhjtFFe9Nw4GgxIdY24IaFS4Faz3OEgvguHSSDeMw2D6Lflw1L0v-feKdbFzrB6nySXMa7VKC6mZVA189w94l9eSmjfLoTHatNduCTtCvuRaCwZ7X-LsyoNlYA9R2GMUtkVhD1FY3nbenoTX2xnHp43T7xvw_gS46t0Uiks-1r8cZ0prwQ5C_MjVNkp7LE8O_3_9EW-1oMA</recordid><startdate>20090701</startdate><enddate>20090701</enddate><creator>Sankaran, Renuka P.</creator><creator>Huguet, Thierry</creator><creator>Grusak, Michael A.</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7SS</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20090701</creationdate><title>Identification of QTL affecting seed mineral concentrations and content in the model legume Medicago truncatula</title><author>Sankaran, Renuka P. ; Huguet, Thierry ; Grusak, Michael A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c465t-1eff027f658118f097a6263c9a089e5ea11a8fe96fb413ce85c4f92595a8d8893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agriculture</topic><topic>Bioavailability</topic><topic>Biochemistry</topic><topic>Biological and medical sciences</topic><topic>Biomass</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Breeding</topic><topic>Chromosome Mapping</topic><topic>Classical genetics, quantitative genetics, hybrids</topic><topic>Developing countries</topic><topic>Dietary minerals</topic><topic>Food</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Genes, Plant</topic><topic>Genetic Linkage</topic><topic>Genetics of eukaryotes. Biological and molecular evolution</topic><topic>LDCs</topic><topic>Legumes</topic><topic>Life Sciences</topic><topic>Medicago truncatula - genetics</topic><topic>Medicago truncatula - metabolism</topic><topic>Minerals - metabolism</topic><topic>Models, Biological</topic><topic>Nutrients</topic><topic>Nutrition research</topic><topic>Original Paper</topic><topic>Plant Biochemistry</topic><topic>Plant Breeding/Biotechnology</topic><topic>Plant Genetics and Genomics</topic><topic>Pteridophyta, spermatophyta</topic><topic>Quantitative Trait Loci - genetics</topic><topic>Seeds</topic><topic>Seeds - genetics</topic><topic>Seeds - metabolism</topic><topic>Vegetals</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sankaran, Renuka P.</creatorcontrib><creatorcontrib>Huguet, Thierry</creatorcontrib><creatorcontrib>Grusak, Michael A.</creatorcontrib><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>ProQuest Central (Corporate)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Theoretical and applied genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sankaran, Renuka P.</au><au>Huguet, Thierry</au><au>Grusak, Michael A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of QTL affecting seed mineral concentrations and content in the model legume Medicago truncatula</atitle><jtitle>Theoretical and applied genetics</jtitle><stitle>Theor Appl Genet</stitle><addtitle>Theor Appl Genet</addtitle><date>2009-07-01</date><risdate>2009</risdate><volume>119</volume><issue>2</issue><spage>241</spage><epage>253</epage><pages>241-253</pages><issn>0040-5752</issn><eissn>1432-2242</eissn><coden>THAGA6</coden><abstract>Increasing the amount of bioavailable micronutrients such as iron and zinc in plant foods for human consumption is an international goal, intended especially for developing countries where micronutrient deficiencies are an ongoing health risk. Legume seeds have the potential to provide the essential nutrients required by humans, but concentrations of several minerals are low when compared to other foods. In order to increase seed mineral concentrations, it is important to understand the genes and processes involved in mineral distribution within the plant. The main objectives of this study were to use a
Medicago truncatula
recombinant inbred population (Jemalong-6 × DZA 315.16) to determine loci governing seed mineral concentrations, seed mineral content, and average seed weight, and to use these loci to propose candidate genes whose expression might contribute to these traits. Ninety-three lines in 2004 and 169 lines in 2006 were grown for seed harvest and subsequent analysis of seed Ca, Cu, Fe, K, Mg, Mn, P, and Zn concentrations and content. Quantitative trait loci (QTL) cartographer was used to identify QTL using composite interval mapping (CIM). CIM identified 46 QTL for seed mineral concentration, 26 for seed mineral content, and 3 for average seed weight. At least one QTL was detected for each mineral trait, and colocation of QTL for several minerals was found in both years. Results comparing seed weight with seed mineral concentration and content QTL demonstrate that seed size can be an important determinant of seed mineral concentration. The identification, in this model legume, of transgressive segregation for nearly all the minerals suggests that allelic recombination of relevant mineral-related genes in agronomic legumes could be a successful strategy to increase seed mineral concentrations above current levels.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>19396421</pmid><doi>10.1007/s00122-009-1033-2</doi><tpages>13</tpages></addata></record> |
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subjects | Agriculture Bioavailability Biochemistry Biological and medical sciences Biomass Biomedical and Life Sciences Biotechnology Breeding Chromosome Mapping Classical genetics, quantitative genetics, hybrids Developing countries Dietary minerals Food Fundamental and applied biological sciences. Psychology Genes, Plant Genetic Linkage Genetics of eukaryotes. Biological and molecular evolution LDCs Legumes Life Sciences Medicago truncatula - genetics Medicago truncatula - metabolism Minerals - metabolism Models, Biological Nutrients Nutrition research Original Paper Plant Biochemistry Plant Breeding/Biotechnology Plant Genetics and Genomics Pteridophyta, spermatophyta Quantitative Trait Loci - genetics Seeds Seeds - genetics Seeds - metabolism Vegetals Zinc |
title | Identification of QTL affecting seed mineral concentrations and content in the model legume Medicago truncatula |
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