Genomic Association Mapping of Apparent Amylose and Protein Concentration in Milled Rice

Agronomy

Jasper Benedict B. Alpuerto¹  Ya-Jane Wang²  Michael J. Thomson³  Darlene L. Sanchez⁴  Lloyd T. Wilson⁴  Stanley Omar P. B. Samonte⁴  Eric F. Christensen⁴  Peyton A. Croaker⁴  Zongbu Yan⁴  Rodante E. Tabien⁴ 

[1] Bayer Research and Development Services (Bayer Crop Science), 700 Chesterfield Parkway W., Chesterfield, MO 63017, USA;Department of Food Science, University of Arkansas, Food Science Building, 2650 N. Young Ave., Fayetteville, AR 72704, USA;Department of Soil and Crop Sciences, Texas A&M University, 343C Heep Center, College Station, TX 77845, USA;Texas A&M AgriLife Research Center, 1509 Aggie Drive, Beaumont, TX 77713, USA;

关键词: rice;    amylose;    protein;    grain quality;    genome-wide association study;   

DOI  :  10.3390/agronomy12040857

来源: DOAJ

【 摘 要 】

Apparent amylose and protein concentrations (AAC and PC) affect the milling, cooking, and eating quality of rice. This study was conducted to assess the phenotypic and genotypic variation and to identify genomic regions and putative candidate genes associated with AAC and PC in milled rice grain. Two hundred and seventeen and 207 diverse rice accessions were grown at the Texas A&M AgriLife Research Center in 2018 and 2019, respectively. Milled rice samples were analyzed for AAC and PC using the iodine colorimetry and Dumas method, respectively. Genome-wide association studies (GWAS) for AAC and PC were conducted using 872,556 single nucleotide polymorphism (SNP) markers following the mixed linear model. Significant variation among the accessions was found for both variables each year. Associations between 32 SNPs with PC and seven SNPs with AAC were detected. Gene models linked to these SNPs have a wide range of biological functions, including protein and carbohydrate metabolism, DNA methylation, and response to abiotic and biotic stresses. Seven of the identified SNPs colocalized with previously reported quantitative trait loci (QTL) for protein concentration. Fine-mapping of significant genomic regions and gene validation are necessary for this information to aid in marker-assisted breeding for improved grain quality.

【 授权许可】

Unknown