Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed
Soybean [ (L.) Merr.] is a valuable and nutritious crop in part due to the high protein meal and vegetable oil produced from its seed. Soybean producers desire cultivars with both elevated seed protein and oil concentrations as well as specific amino acid and fatty acid profiles. Numerous studies ha...
Gespeichert in:
Veröffentlicht in: | International journal of molecular sciences 2017-06, Vol.18 (6), p.1180 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 6 |
container_start_page | 1180 |
container_title | International journal of molecular sciences |
container_volume | 18 |
creator | Van, Kyujung McHale, Leah K |
description | Soybean [
(L.) Merr.] is a valuable and nutritious crop in part due to the high protein meal and vegetable oil produced from its seed. Soybean producers desire cultivars with both elevated seed protein and oil concentrations as well as specific amino acid and fatty acid profiles. Numerous studies have identified quantitative trait loci (QTLs) associated with seed composition traits, but validation of these QTLs has rarely been carried out. In this study, we have collected information, including genetic location and additive effects, on each QTL for seed contents of protein and oil, as well as amino acid and fatty acid compositions from over 80 studies. Using BioMercator V. 4.2, a meta-QTL analysis was performed with genetic information comprised of 175 QTLs for protein, 205 QTLs for oil, 156 QTLs for amino acids, and 113 QTLs for fatty acids. A total of 55 meta-QTL for seed composition were detected on 6 out of 20 chromosomes. Meta-QTL possessed narrower confidence intervals than the original QTL and candidate genes were identified within each meta-QTL. These candidate genes elucidate potential natural genetic variation in genes contributing to protein and oil biosynthesis and accumulation, providing meaningful information to further soybean breeding programs. |
doi_str_mv | 10.3390/ijms18061180 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5486003</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2685295838</sourcerecordid><originalsourceid>FETCH-LOGICAL-c412t-f7a93e9e69ef3c25565517d6cf8be56cac3e30879da0c2b8c2effd03701772c23</originalsourceid><addsrcrecordid>eNpdkd9rFDEQx4Mo9oe--SwBXyp0z_y4ZJOXwnFoK1yp0vokEnLZWZtjNzkze7b337u1tZx9mRlmPnyZmS8hbzibSGnZh7jqkRum-RiekX0-FaJiTNfPd-o9coC4YkxIoexLsieMMjXXdp_cnsPgq1ny3RYBaW7p16sF0hliDtEP0NCbOFzTLyUPEBP1qaEXsaPznAZIA_5tzHO_zhiHmBPSEbrM2yX4RL-fdtsQE9De39KjxeQ9PYdSJj_oJUDzirxofYfw-iEfkm-fPl7Nz6rFxenn-WxRhSkXQ9XW3kqwoC20MgiltFK8bnRozRKUDj5IkMzUtvEsiKUJAtq2YbJmvK5FEPKQnNzrrjfLHpowbl1859Yl9r5sXfbR_T9J8dr9zL-dmhrNmBwFjh4ESv61ARxcHzFA1_kEeYOOW6attUbbEX33BF3lTRl_i05oo4RVRpqROr6nQsmIBdrHZThzd5a6XUtH_O3uAY_wPw_lH7ThnRk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2685295838</pqid></control><display><type>article</type><title>Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed</title><source>Electronic Journals Library</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>MEDLINE</source><source>PubMed Central</source><creator>Van, Kyujung ; McHale, Leah K</creator><creatorcontrib>Van, Kyujung ; McHale, Leah K</creatorcontrib><description>Soybean [
(L.) Merr.] is a valuable and nutritious crop in part due to the high protein meal and vegetable oil produced from its seed. Soybean producers desire cultivars with both elevated seed protein and oil concentrations as well as specific amino acid and fatty acid profiles. Numerous studies have identified quantitative trait loci (QTLs) associated with seed composition traits, but validation of these QTLs has rarely been carried out. In this study, we have collected information, including genetic location and additive effects, on each QTL for seed contents of protein and oil, as well as amino acid and fatty acid compositions from over 80 studies. Using BioMercator V. 4.2, a meta-QTL analysis was performed with genetic information comprised of 175 QTLs for protein, 205 QTLs for oil, 156 QTLs for amino acids, and 113 QTLs for fatty acids. A total of 55 meta-QTL for seed composition were detected on 6 out of 20 chromosomes. Meta-QTL possessed narrower confidence intervals than the original QTL and candidate genes were identified within each meta-QTL. These candidate genes elucidate potential natural genetic variation in genes contributing to protein and oil biosynthesis and accumulation, providing meaningful information to further soybean breeding programs.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms18061180</identifier><identifier>PMID: 28587169</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Amino acids ; Amino Acids - analysis ; Biosynthesis ; Chromosome Mapping ; Composition ; Confidence intervals ; Cultivars ; Fatty acids ; Fatty Acids - analysis ; Food supply ; Genes ; Genetic analysis ; Genetic Association Studies ; Genetic diversity ; Glycine max ; Glycine max - chemistry ; Glycine max - genetics ; Glycine max - metabolism ; Meta-analysis ; Plant breeding ; Plant Oils - analysis ; Plant Oils - metabolism ; Plant Proteins - analysis ; Plant Proteins - genetics ; Plant Proteins - metabolism ; Protein biosynthesis ; Proteins ; Quantitative Trait Loci ; Seeds - chemistry ; Seeds - genetics ; Soybeans ; Vegetable oils</subject><ispartof>International journal of molecular sciences, 2017-06, Vol.18 (6), p.1180</ispartof><rights>2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 by the authors. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-f7a93e9e69ef3c25565517d6cf8be56cac3e30879da0c2b8c2effd03701772c23</citedby><cites>FETCH-LOGICAL-c412t-f7a93e9e69ef3c25565517d6cf8be56cac3e30879da0c2b8c2effd03701772c23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486003/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486003/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28587169$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Van, Kyujung</creatorcontrib><creatorcontrib>McHale, Leah K</creatorcontrib><title>Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>Soybean [
(L.) Merr.] is a valuable and nutritious crop in part due to the high protein meal and vegetable oil produced from its seed. Soybean producers desire cultivars with both elevated seed protein and oil concentrations as well as specific amino acid and fatty acid profiles. Numerous studies have identified quantitative trait loci (QTLs) associated with seed composition traits, but validation of these QTLs has rarely been carried out. In this study, we have collected information, including genetic location and additive effects, on each QTL for seed contents of protein and oil, as well as amino acid and fatty acid compositions from over 80 studies. Using BioMercator V. 4.2, a meta-QTL analysis was performed with genetic information comprised of 175 QTLs for protein, 205 QTLs for oil, 156 QTLs for amino acids, and 113 QTLs for fatty acids. A total of 55 meta-QTL for seed composition were detected on 6 out of 20 chromosomes. Meta-QTL possessed narrower confidence intervals than the original QTL and candidate genes were identified within each meta-QTL. These candidate genes elucidate potential natural genetic variation in genes contributing to protein and oil biosynthesis and accumulation, providing meaningful information to further soybean breeding programs.</description><subject>Amino acids</subject><subject>Amino Acids - analysis</subject><subject>Biosynthesis</subject><subject>Chromosome Mapping</subject><subject>Composition</subject><subject>Confidence intervals</subject><subject>Cultivars</subject><subject>Fatty acids</subject><subject>Fatty Acids - analysis</subject><subject>Food supply</subject><subject>Genes</subject><subject>Genetic analysis</subject><subject>Genetic Association Studies</subject><subject>Genetic diversity</subject><subject>Glycine max</subject><subject>Glycine max - chemistry</subject><subject>Glycine max - genetics</subject><subject>Glycine max - metabolism</subject><subject>Meta-analysis</subject><subject>Plant breeding</subject><subject>Plant Oils - analysis</subject><subject>Plant Oils - metabolism</subject><subject>Plant Proteins - analysis</subject><subject>Plant Proteins - genetics</subject><subject>Plant Proteins - metabolism</subject><subject>Protein biosynthesis</subject><subject>Proteins</subject><subject>Quantitative Trait Loci</subject><subject>Seeds - chemistry</subject><subject>Seeds - genetics</subject><subject>Soybeans</subject><subject>Vegetable oils</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkd9rFDEQx4Mo9oe--SwBXyp0z_y4ZJOXwnFoK1yp0vokEnLZWZtjNzkze7b337u1tZx9mRlmPnyZmS8hbzibSGnZh7jqkRum-RiekX0-FaJiTNfPd-o9coC4YkxIoexLsieMMjXXdp_cnsPgq1ny3RYBaW7p16sF0hliDtEP0NCbOFzTLyUPEBP1qaEXsaPznAZIA_5tzHO_zhiHmBPSEbrM2yX4RL-fdtsQE9De39KjxeQ9PYdSJj_oJUDzirxofYfw-iEfkm-fPl7Nz6rFxenn-WxRhSkXQ9XW3kqwoC20MgiltFK8bnRozRKUDj5IkMzUtvEsiKUJAtq2YbJmvK5FEPKQnNzrrjfLHpowbl1859Yl9r5sXfbR_T9J8dr9zL-dmhrNmBwFjh4ESv61ARxcHzFA1_kEeYOOW6attUbbEX33BF3lTRl_i05oo4RVRpqROr6nQsmIBdrHZThzd5a6XUtH_O3uAY_wPw_lH7ThnRk</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Van, Kyujung</creator><creator>McHale, Leah K</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170601</creationdate><title>Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed</title><author>Van, Kyujung ; McHale, Leah K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-f7a93e9e69ef3c25565517d6cf8be56cac3e30879da0c2b8c2effd03701772c23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Amino acids</topic><topic>Amino Acids - analysis</topic><topic>Biosynthesis</topic><topic>Chromosome Mapping</topic><topic>Composition</topic><topic>Confidence intervals</topic><topic>Cultivars</topic><topic>Fatty acids</topic><topic>Fatty Acids - analysis</topic><topic>Food supply</topic><topic>Genes</topic><topic>Genetic analysis</topic><topic>Genetic Association Studies</topic><topic>Genetic diversity</topic><topic>Glycine max</topic><topic>Glycine max - chemistry</topic><topic>Glycine max - genetics</topic><topic>Glycine max - metabolism</topic><topic>Meta-analysis</topic><topic>Plant breeding</topic><topic>Plant Oils - analysis</topic><topic>Plant Oils - metabolism</topic><topic>Plant Proteins - analysis</topic><topic>Plant Proteins - genetics</topic><topic>Plant Proteins - metabolism</topic><topic>Protein biosynthesis</topic><topic>Proteins</topic><topic>Quantitative Trait Loci</topic><topic>Seeds - chemistry</topic><topic>Seeds - genetics</topic><topic>Soybeans</topic><topic>Vegetable oils</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Van, Kyujung</creatorcontrib><creatorcontrib>McHale, Leah K</creatorcontrib><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</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>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Van, Kyujung</au><au>McHale, Leah K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed</atitle><jtitle>International journal of molecular sciences</jtitle><addtitle>Int J Mol Sci</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>18</volume><issue>6</issue><spage>1180</spage><pages>1180-</pages><issn>1422-0067</issn><issn>1661-6596</issn><eissn>1422-0067</eissn><abstract>Soybean [
(L.) Merr.] is a valuable and nutritious crop in part due to the high protein meal and vegetable oil produced from its seed. Soybean producers desire cultivars with both elevated seed protein and oil concentrations as well as specific amino acid and fatty acid profiles. Numerous studies have identified quantitative trait loci (QTLs) associated with seed composition traits, but validation of these QTLs has rarely been carried out. In this study, we have collected information, including genetic location and additive effects, on each QTL for seed contents of protein and oil, as well as amino acid and fatty acid compositions from over 80 studies. Using BioMercator V. 4.2, a meta-QTL analysis was performed with genetic information comprised of 175 QTLs for protein, 205 QTLs for oil, 156 QTLs for amino acids, and 113 QTLs for fatty acids. A total of 55 meta-QTL for seed composition were detected on 6 out of 20 chromosomes. Meta-QTL possessed narrower confidence intervals than the original QTL and candidate genes were identified within each meta-QTL. These candidate genes elucidate potential natural genetic variation in genes contributing to protein and oil biosynthesis and accumulation, providing meaningful information to further soybean breeding programs.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>28587169</pmid><doi>10.3390/ijms18061180</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1422-0067 |
ispartof | International journal of molecular sciences, 2017-06, Vol.18 (6), p.1180 |
issn | 1422-0067 1661-6596 1422-0067 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5486003 |
source | Electronic Journals Library; MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; PubMed Central |
subjects | Amino acids Amino Acids - analysis Biosynthesis Chromosome Mapping Composition Confidence intervals Cultivars Fatty acids Fatty Acids - analysis Food supply Genes Genetic analysis Genetic Association Studies Genetic diversity Glycine max Glycine max - chemistry Glycine max - genetics Glycine max - metabolism Meta-analysis Plant breeding Plant Oils - analysis Plant Oils - metabolism Plant Proteins - analysis Plant Proteins - genetics Plant Proteins - metabolism Protein biosynthesis Proteins Quantitative Trait Loci Seeds - chemistry Seeds - genetics Soybeans Vegetable oils |
title | Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T10%3A33%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Meta-Analyses%20of%20QTLs%20Associated%20with%20Protein%20and%20Oil%20Contents%20and%20Compositions%20in%20Soybean%20%5BGlycine%20max%20(L.)%20Merr.%5D%20Seed&rft.jtitle=International%20journal%20of%20molecular%20sciences&rft.au=Van,%20Kyujung&rft.date=2017-06-01&rft.volume=18&rft.issue=6&rft.spage=1180&rft.pages=1180-&rft.issn=1422-0067&rft.eissn=1422-0067&rft_id=info:doi/10.3390/ijms18061180&rft_dat=%3Cproquest_pubme%3E2685295838%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2685295838&rft_id=info:pmid/28587169&rfr_iscdi=true |