A genome-wide association study of seed size, protein content, and oil content using a natural population of Sichuan and Chongqing soybean
Soybean seeds contain high levels of oil and protein, providing 57 and 69% of a person's dietary requirements, respectively. Although many quantitative trait loci for the 100-seed weight (100SW), protein content (PRC), and oil content (OIC) have been reported, their genetic controls in soybeans...
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description | Soybean seeds contain high levels of oil and protein, providing 57 and 69% of a person's dietary requirements, respectively. Although many quantitative trait loci for the 100-seed weight (100SW), protein content (PRC), and oil content (OIC) have been reported, their genetic controls in soybeans remain unclear. The QTL–allele constitution of three traits in the Sichuan and Chongqing eco-regions population (SCLBP) was studied using a representative sample composed of 228 accessions. These were tested in four environments and analyzed using 135 simple sequence repeats (SSR) and 107,081 valid single nucleotide polymorphism linkage (SNP) markers. The range of 100SW, PRC, and OIC in SCLBP accessions were 4.82–33.35, 36.47–49.75%, and 14.68–21.77%, respectively. The heritability (
h
2
) and genetic coefficient of variation (
GCV
) of the three traits were high. As a result, 26, 33, and 31 QTLs were found using SSR for 100SW, PRC, and OIC, respectively. The allele of Sat_260 for 100SW was detected in the four environments. In addition, 28, 198, and 250 loci for 100SW, PRC, and OIC, respectively, were found using SNP and mixed linear model (MLM). Further SNP haplotype analysis revealed that 13, 35, and 60 blocks were found for 100SW, RPC, and OIC, respectively. The block of Gm11_9895764-9,917,646 for 100SW was simultaneously detected in the four environments. Among these QTLs, 1, 5, and 7 for 100SW, PRC and OIC were found using two methods of SSR and SNP at the same time. A majority of these QTLs overlapped with the previously reported loci. However, 9, 11, and 9 loci for 100SW, PRC, and OIC using SSR; and 3, 5, and 8 for 100SW, PRC, and OIC hadn’t been reported using SNP. Moreover, the genes of Glyma.11g130800, Glyma.13g217000, and Glyma.08g122600 were considered the most likely genes controlling 100SW, PRC, and OIC, respectively. These findings provide evidence for mixed major plus polygenes inheritance for the three traits and an extended understanding of their genetic architecture for the molecular dissection and breeding of soybeans. |
doi_str_mv | 10.1007/s10681-021-02931-8 |
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h
2
) and genetic coefficient of variation (
GCV
) of the three traits were high. As a result, 26, 33, and 31 QTLs were found using SSR for 100SW, PRC, and OIC, respectively. The allele of Sat_260 for 100SW was detected in the four environments. In addition, 28, 198, and 250 loci for 100SW, PRC, and OIC, respectively, were found using SNP and mixed linear model (MLM). Further SNP haplotype analysis revealed that 13, 35, and 60 blocks were found for 100SW, RPC, and OIC, respectively. The block of Gm11_9895764-9,917,646 for 100SW was simultaneously detected in the four environments. Among these QTLs, 1, 5, and 7 for 100SW, PRC and OIC were found using two methods of SSR and SNP at the same time. A majority of these QTLs overlapped with the previously reported loci. However, 9, 11, and 9 loci for 100SW, PRC, and OIC using SSR; and 3, 5, and 8 for 100SW, PRC, and OIC hadn’t been reported using SNP. Moreover, the genes of Glyma.11g130800, Glyma.13g217000, and Glyma.08g122600 were considered the most likely genes controlling 100SW, PRC, and OIC, respectively. These findings provide evidence for mixed major plus polygenes inheritance for the three traits and an extended understanding of their genetic architecture for the molecular dissection and breeding of soybeans.</description><identifier>ISSN: 0014-2336</identifier><identifier>EISSN: 1573-5060</identifier><identifier>DOI: 10.1007/s10681-021-02931-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Alleles ; Analysis ; Biomedical and Life Sciences ; Biotechnology ; Coefficient of variation ; Gene mapping ; Genes ; Genetic diversity ; Genome-wide association studies ; Genomes ; Genomics ; Haplotypes ; Heredity ; Heritability ; Life Sciences ; Nucleotides ; Plant breeding ; Plant Genetics and Genomics ; Plant Pathology ; Plant Physiology ; Plant Sciences ; Polymorphism ; Population genetics ; Population studies ; Proteins ; Quantitative genetics ; Quantitative trait loci ; Seeds ; Simple sequence repeats ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Soybean ; Soybeans</subject><ispartof>Euphytica, 2021-11, Vol.217 (11), Article 198</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-f819f1d48ea962b73fb0c5bb2c7c42d0442ee289b13730a21e903070d49dedbf3</citedby><cites>FETCH-LOGICAL-c358t-f819f1d48ea962b73fb0c5bb2c7c42d0442ee289b13730a21e903070d49dedbf3</cites><orcidid>0000-0001-5525-9587</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10681-021-02931-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10681-021-02931-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>He, Qingyuan</creatorcontrib><creatorcontrib>Xiang, Shihua</creatorcontrib><creatorcontrib>Yang, Huawei</creatorcontrib><creatorcontrib>Wang, Wubin</creatorcontrib><creatorcontrib>Shu, Yingjie</creatorcontrib><creatorcontrib>Li, Zhengpeng</creatorcontrib><creatorcontrib>Yang, Xiaoyan</creatorcontrib><creatorcontrib>Wang, Songhua</creatorcontrib><title>A genome-wide association study of seed size, protein content, and oil content using a natural population of Sichuan and Chongqing soybean</title><title>Euphytica</title><addtitle>Euphytica</addtitle><description>Soybean seeds contain high levels of oil and protein, providing 57 and 69% of a person's dietary requirements, respectively. Although many quantitative trait loci for the 100-seed weight (100SW), protein content (PRC), and oil content (OIC) have been reported, their genetic controls in soybeans remain unclear. The QTL–allele constitution of three traits in the Sichuan and Chongqing eco-regions population (SCLBP) was studied using a representative sample composed of 228 accessions. These were tested in four environments and analyzed using 135 simple sequence repeats (SSR) and 107,081 valid single nucleotide polymorphism linkage (SNP) markers. The range of 100SW, PRC, and OIC in SCLBP accessions were 4.82–33.35, 36.47–49.75%, and 14.68–21.77%, respectively. The heritability (
h
2
) and genetic coefficient of variation (
GCV
) of the three traits were high. As a result, 26, 33, and 31 QTLs were found using SSR for 100SW, PRC, and OIC, respectively. The allele of Sat_260 for 100SW was detected in the four environments. In addition, 28, 198, and 250 loci for 100SW, PRC, and OIC, respectively, were found using SNP and mixed linear model (MLM). Further SNP haplotype analysis revealed that 13, 35, and 60 blocks were found for 100SW, RPC, and OIC, respectively. The block of Gm11_9895764-9,917,646 for 100SW was simultaneously detected in the four environments. Among these QTLs, 1, 5, and 7 for 100SW, PRC and OIC were found using two methods of SSR and SNP at the same time. A majority of these QTLs overlapped with the previously reported loci. However, 9, 11, and 9 loci for 100SW, PRC, and OIC using SSR; and 3, 5, and 8 for 100SW, PRC, and OIC hadn’t been reported using SNP. Moreover, the genes of Glyma.11g130800, Glyma.13g217000, and Glyma.08g122600 were considered the most likely genes controlling 100SW, PRC, and OIC, respectively. These findings provide evidence for mixed major plus polygenes inheritance for the three traits and an extended understanding of their genetic architecture for the molecular dissection and breeding of soybeans.</description><subject>Alleles</subject><subject>Analysis</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Coefficient of variation</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genetic diversity</subject><subject>Genome-wide association studies</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Haplotypes</subject><subject>Heredity</subject><subject>Heritability</subject><subject>Life Sciences</subject><subject>Nucleotides</subject><subject>Plant breeding</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Pathology</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Polymorphism</subject><subject>Population genetics</subject><subject>Population studies</subject><subject>Proteins</subject><subject>Quantitative genetics</subject><subject>Quantitative trait loci</subject><subject>Seeds</subject><subject>Simple sequence repeats</subject><subject>Single nucleotide polymorphisms</subject><subject>Single-nucleotide polymorphism</subject><subject>Soybean</subject><subject>Soybeans</subject><issn>0014-2336</issn><issn>1573-5060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</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>eNp9kc-KFDEQxoMoOK6-gKeA1-218qc76eMw6CoseFDPIZ1U92bpSWaTbmR8BJ_azLbiTUIIFN_vq6p8hLxlcMMA1PvCoNOsAX65vWCNfkZ2rFWiaaGD52QHwGTDheheklelPABAr1rYkV97OmFMR2x-BI_UlpJcsEtIkZZl9WeaRloQPS3hJ17TU04LhkhdigvG5Zra6GkK898CXUuIE7U02mXNdqandFrnza86fQ3ufrXxiTrcpzg9XtQlnQe08TV5Mdq54Js_7xX5_vHDt8On5u7L7efD_q5xotVLM2rWj8xLjbbv-KDEOIBrh4E75ST3ICVH5LofmFACLGfYgwAFXvYe_TCKK_Ju863LPK5YFvOQ1hxrS8NbpTupuWRVdbOpJjujCXFMS7auHo_HULfFMdT6XjEJqv6rqADfAJdTKRlHc8rhaPPZMDCXkMwWkqkhmaeQjK6Q2KBSxXHC_G-W_1C_AY9vlg4</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>He, Qingyuan</creator><creator>Xiang, Shihua</creator><creator>Yang, Huawei</creator><creator>Wang, Wubin</creator><creator>Shu, Yingjie</creator><creator>Li, Zhengpeng</creator><creator>Yang, Xiaoyan</creator><creator>Wang, Songhua</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><orcidid>https://orcid.org/0000-0001-5525-9587</orcidid></search><sort><creationdate>20211101</creationdate><title>A genome-wide association study of seed size, protein content, and oil content using a natural population of Sichuan and Chongqing soybean</title><author>He, Qingyuan ; Xiang, Shihua ; Yang, Huawei ; Wang, Wubin ; Shu, Yingjie ; Li, Zhengpeng ; Yang, Xiaoyan ; Wang, Songhua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-f819f1d48ea962b73fb0c5bb2c7c42d0442ee289b13730a21e903070d49dedbf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alleles</topic><topic>Analysis</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Coefficient of variation</topic><topic>Gene mapping</topic><topic>Genes</topic><topic>Genetic diversity</topic><topic>Genome-wide association studies</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Haplotypes</topic><topic>Heredity</topic><topic>Heritability</topic><topic>Life Sciences</topic><topic>Nucleotides</topic><topic>Plant breeding</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Pathology</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Polymorphism</topic><topic>Population genetics</topic><topic>Population studies</topic><topic>Proteins</topic><topic>Quantitative genetics</topic><topic>Quantitative trait loci</topic><topic>Seeds</topic><topic>Simple sequence repeats</topic><topic>Single nucleotide polymorphisms</topic><topic>Single-nucleotide polymorphism</topic><topic>Soybean</topic><topic>Soybeans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Qingyuan</creatorcontrib><creatorcontrib>Xiang, Shihua</creatorcontrib><creatorcontrib>Yang, Huawei</creatorcontrib><creatorcontrib>Wang, Wubin</creatorcontrib><creatorcontrib>Shu, Yingjie</creatorcontrib><creatorcontrib>Li, Zhengpeng</creatorcontrib><creatorcontrib>Yang, Xiaoyan</creatorcontrib><creatorcontrib>Wang, Songhua</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>He, Qingyuan</au><au>Xiang, Shihua</au><au>Yang, Huawei</au><au>Wang, Wubin</au><au>Shu, Yingjie</au><au>Li, Zhengpeng</au><au>Yang, Xiaoyan</au><au>Wang, Songhua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A genome-wide association study of seed size, protein content, and oil content using a natural population of Sichuan and Chongqing soybean</atitle><jtitle>Euphytica</jtitle><stitle>Euphytica</stitle><date>2021-11-01</date><risdate>2021</risdate><volume>217</volume><issue>11</issue><artnum>198</artnum><issn>0014-2336</issn><eissn>1573-5060</eissn><abstract>Soybean seeds contain high levels of oil and protein, providing 57 and 69% of a person's dietary requirements, respectively. Although many quantitative trait loci for the 100-seed weight (100SW), protein content (PRC), and oil content (OIC) have been reported, their genetic controls in soybeans remain unclear. The QTL–allele constitution of three traits in the Sichuan and Chongqing eco-regions population (SCLBP) was studied using a representative sample composed of 228 accessions. These were tested in four environments and analyzed using 135 simple sequence repeats (SSR) and 107,081 valid single nucleotide polymorphism linkage (SNP) markers. The range of 100SW, PRC, and OIC in SCLBP accessions were 4.82–33.35, 36.47–49.75%, and 14.68–21.77%, respectively. The heritability (
h
2
) and genetic coefficient of variation (
GCV
) of the three traits were high. As a result, 26, 33, and 31 QTLs were found using SSR for 100SW, PRC, and OIC, respectively. The allele of Sat_260 for 100SW was detected in the four environments. In addition, 28, 198, and 250 loci for 100SW, PRC, and OIC, respectively, were found using SNP and mixed linear model (MLM). Further SNP haplotype analysis revealed that 13, 35, and 60 blocks were found for 100SW, RPC, and OIC, respectively. The block of Gm11_9895764-9,917,646 for 100SW was simultaneously detected in the four environments. Among these QTLs, 1, 5, and 7 for 100SW, PRC and OIC were found using two methods of SSR and SNP at the same time. A majority of these QTLs overlapped with the previously reported loci. However, 9, 11, and 9 loci for 100SW, PRC, and OIC using SSR; and 3, 5, and 8 for 100SW, PRC, and OIC hadn’t been reported using SNP. Moreover, the genes of Glyma.11g130800, Glyma.13g217000, and Glyma.08g122600 were considered the most likely genes controlling 100SW, PRC, and OIC, respectively. These findings provide evidence for mixed major plus polygenes inheritance for the three traits and an extended understanding of their genetic architecture for the molecular dissection and breeding of soybeans.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10681-021-02931-8</doi><orcidid>https://orcid.org/0000-0001-5525-9587</orcidid></addata></record> |
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subjects | Alleles Analysis Biomedical and Life Sciences Biotechnology Coefficient of variation Gene mapping Genes Genetic diversity Genome-wide association studies Genomes Genomics Haplotypes Heredity Heritability Life Sciences Nucleotides Plant breeding Plant Genetics and Genomics Plant Pathology Plant Physiology Plant Sciences Polymorphism Population genetics Population studies Proteins Quantitative genetics Quantitative trait loci Seeds Simple sequence repeats Single nucleotide polymorphisms Single-nucleotide polymorphism Soybean Soybeans |
title | A genome-wide association study of seed size, protein content, and oil content using a natural population of Sichuan and Chongqing soybean |
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