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Genome-wide association mapping of QTL underlying seed oil and protein contents of a diverse panel of soybean accessions.
Li, Ying-Hui; Reif, Jochen C; Hong, Hui-Long; Li, Hui-Hui; Liu, Zhang-Xiong; Ma, Yan-Song; Li, Jun; Tian, Yun; Li, Yan-Fei; Li, Wen-Bin; Qiu, Li-Juan.
Affiliation
  • Li YH; The National Key Facility for Crop, Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, 100081 Beijing, China. Electronic address: liyinghui@caas.cn.
  • Reif JC; Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany. Electronic address: reif@ipk-gatersleben.de.
  • Hong HL; The National Key Facility for Crop, Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, 100081 Beijing, China. Electronic address: 15011290378@163.com.
  • Li HH; The National Key Facility for Crop, Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, 100081 Beijing, China. Electronic address: lihuihui@caas.cn.
  • Liu ZX; The National Key Facility for Crop, Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, 100081 Beijing, China. Electronic address: liuzhangxiong@caas.cn.
  • Ma YS; Soybean Research Institute, Heilongjiang Academy of Agricultural Sciences, 150086 Harbin, China. Electronic address: mys771007@hotmail.com.
  • Li J; College of agriculture, Guangxi University, 530004 Nanning, China.
  • Tian Y; The National Key Facility for Crop, Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, 100081 Beijing, China. Electronic address: a329594827@163.com.
  • Li YF; The National Key Facility for Crop, Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, 100081 Beijing, China. Electronic address: muziyanfei@126.com.
  • Li WB; Key Laboratory of Soybean Biology in Chinese Education Ministry, Northeast Agricultural University, 150030 Harbin, China. Electronic address: wenbinli@neau.edu.cn.
  • Qiu LJ; The National Key Facility for Crop, Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, 100081 Beijing, China. Electronic address: qiulijuan@caas.cn.
Plant Sci ; 266: 95-101, 2018 Jan.
Article in En | MEDLINE | ID: mdl-29241572
ABSTRACT
To investigate the genetic basis of variation in oil and protein contents in soybean seeds, a diverse collection of 421 mainly Chinese soybean cultivars was genotyped using 1536 SNPs, mostly from candidate genes related to acyl-lipid metabolism and from regions harboring known QTL. Six significant associations were identified for each of seed oil and protein contents which individually explained 2.7-5.9% of the phenotypic variance. Six associations occurred in or near known QTL and the remaining are putative novel QTL. Ten significant associations influenced the oil content without decreasing protein content, and vice versa. One SNP was pleiotropic, with opposite effects on oil and protein contents. The genetic region covering Map-6076 and-6077 was shown to be involved in controlling oil content in soybean by integrating the results of association mapping with information on known QTL and tissue-specific expression data. This region was subject to strong selection during the genetic improvement of soybean. Our results not only confirm and refine the map positions of known QTL but also contribute to a further elucidation of the genetic architecture of protein and oil contents in soybean seeds by identifying new associations exhibiting pleiotropic effects on seed protein and oil contents.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Seeds / Glycine max / Quantitative Trait Loci / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Plant Sci Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Seeds / Glycine max / Quantitative Trait Loci / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Plant Sci Year: 2018 Document type: Article
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