Literature DB >> 32901332

Identifying genes for resistant starch, slowly digestible starch, and rapidly digestible starch in rice using genome-wide association studies.

Ning Zhang1, Maike Wang1, Ji Fu1, Yi Shen1, Yi Ding1, Dianxing Wu1, Xiaoli Shu2, Wenjian Song3,4.   

Abstract

BACKGROUND: The digestibility of starch is important for the nutritive value of staple food. Although several genes are responsible for resistant starch (RS) and slowly digestible starch (SDS), gaps persist concerning the molecular basis of RS and SDS formation due to the complex genetic mechanisms of starch digestibility.
OBJECTIVES: The objective of this study was to identify new genes for starch digestibility in rice and interprete the genetic mechanisms of RS and SDS by GWAS.
METHODS: Genome-wide association studies were conducted by associating the RS and SDS phenotypes of 104 re-sequenced rice lines to an SNP dataset of 2,288,867 sites using a compressed mixed linear model. Candidate genes were identified according to the position of the SNPs based on data from the MSU Rice Genome Annotation Project.
RESULTS: Seven quantitative trait loci (QTLs) were detected to be associated with the RS content, among which the SNP 6 m1765761 was located on Waxy. Starch branching enzymes IIa (BEIIa) close to QTL qRS-I4 was detected and further identified as a specific candidate gene for RS in INDICA. Two QTLs were associated with SDS, and the LOC_Os09g09360 encoding lipase was identified as a causal gene for SDS.
CONCLUSIONS: GWAS is a valid strategy to genetically dissect the formation of starch digestion properties in rice. RS formation in grains is dependent on the rice type; lipid might also contribute to starch digestibility and should be an alternative factor to improve rice starch digestibility.

Entities:  

Keywords:  GWAS; Resistant starch; Rice; Slowly digestible starch

Year:  2020        PMID: 32901332     DOI: 10.1007/s13258-020-00981-1

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


  1 in total

1.  Metabolite Diversity and Metabolic Genome-Wide Marker Association Studies (Mgwas) for Health Benefiting Nutritional Traits in Pearl Millet Grains.

Authors:  Chandra Bhan Yadav; Rakesh K Srivastava; Prakash I Gangashetty; Rama Yadav; Luis A J Mur; Rattan S Yadav
Journal:  Cells       Date:  2021-11-08       Impact factor: 6.600

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.