ArticleJournal of genetics2021
Identification of SNPs in crucial starch biosynthesis genes in rice.
Article in Journal of genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed, 2 citations in OpenAlex.
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rice is the foremost crop catering to the major calorific requirement of the human population but has the disadvantage of having high glycaemic index (GI). The fine quality rice varieties, BPT and RNR have been recently identified as having low GI in nature and are grown mostly in southern parts of India. Starch (80%) is the major component of rice endosperm attributing to GI. The study aimed to unravel the molecular basis of low GI through targeted pooled amplicon sequencing of major starch biosynthetic genes. A total of 13 candidate genes involved in starch synthesis were amplified and pooled in equimolar proportion for sequencing. Single-nucleotide polymorphisms (SNPs) and insertions/deletions (Indels) were detected in both coding and noncoding regions. Among the genes that are under study, the highest number of variations were identified in starch synthase I (SSI) followed by starch synthase IIIA (SSIIIA) genes. Nonsynonymous SNPs with high probability of effecting gene function were validated by Sanger sequencing and molecular docking. Identified causative SNPs were mapped on 3000 rice genome database and their allele frequencies were obtained. The outcome of this study has a potential to be applied in breeding programmes to obtain low GI rice varieties with added beneficial traits.
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