Multiomics of a rice population identifies genes and genomic regions that bestow low glycemic index and high protein content

• 成果类型: Article
• 署名作者: Badoni, Saurabh; Pasion-Uy, Erstelle A.; Kor, Sakshi; Kim, Sung-Ryul; Tiozon, Rhowell N.; Misra, Gopal; Buenafe, Reuben James Q.; Labarga, Luster May; Ramos-Castrosanto, Ana Rose; Pratap, Vipin; Slamet-Loedin, Inez; von Steimker, Julia; Alseekh, Saleh; Fernie, Alisdair R.; Kohli, Ajay; Khush, Gurudev S.; Sreenivasulu, Nese
• 署名单位: CGIAR; International Rice Research Institute (IRRI); Max Planck Society; University of California System; University of California Davis
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-9070
• DOI: 10.1073/pnas.2410598121
• 发表日期: 2024-09-03
• 关键词: branching-enzyme-iib; starch; invertase; Mutation; ACID

摘要

To counter the rising incidence of diabetes and to meet the daily protein needs, we created low glycemic index (GI) rice varieties with protein content (PC) surpassing amylose extender (IR36ae) as parental lines, we identified quantitative trait loci and genes associated with low GI, high amylose content (AC), and high PC. By integrating genetic techniques with classification models, this comprehensive approach identified candidate genes on chromosome 2 (qGI2.1/qAC2.1 spanning the region from the phenotypic variant with high value was associated with the recessive allele of the phenotype in milled rice grains. Further, combinations of alleles created by the highly significant SNPs from the targeted associations and epistatically interacting genes analysis of rice with varying AC, PC, and GI revealed that the superior lines of high highly relevant for food product development to address diabetes and malnutrition.