An Insight into the Glycemic Index of Rice  

Tripathy Swapan  K. 1 , Maharana M. 1 , Ithape Dinesh M. 1 , Mohanty M. R. 2 , Dash Asit P.3 , Reshmi Raj K.R.3 , Ganik N.3 , Panda S.4
1 Department of Agricultural Biotechnology, College of Agriculture, OUAT, Bhubaneswar, India
2 Rice Research Station,OUAT, Jeypore, Odisha, India
3 Department of Plant Breeding and Genetics, College of Agriculture, OUAT, Bhubaneswar, India
4 Regional Research Station, Central Zone, OUAT, Bhubaneswar, India
Author    Correspondence author
Molecular Plant Breeding, 2016, Vol. 7, No. 30   doi: 10.5376/mpb.2016.07.0030
Received: 02 Jun., 2016    Accepted: 14 Jul., 2016    Published: 12 Aug., 2016
© 2016 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Tripathy S.K., Maharana M., Ithape D.M., Mohanty M.R., Dash A.P., Reshmi R.K.R.A., Ganik N., and Panda S., 2016, An Insight into the Glycemic Index of Rice, 7(30): 1-6 (doi: 10.5376/mpb.2016.07.0030)

Abstract

Glycemic index of rice is a highly complex trait. Rice varieties possessing slowly digestible starch (high amylose) are potentially characterized to have low glycemic index and can be useful for management of type II diabetes. Understanding genetic mechanisms underlying starch biosynthesis and metabolism of cooked rice can pave the way for developing efficient breeding and selection strategy for combining high grain yield with low glycemic index. In this context, reverse genetics can prove useful. Available rice genome sequence information encoding key enzymes involved in biosynthesis of amylose component of starch can unravel novel alleles involving single nucleotide polymorphisms (SNPs). A multi-allelic waxygene (Wx) encoding Granule-Bound Starch Synthase I (GBSS I) enzyme is known to determine amylose content in rice endosperm. Potential molecular markers are now available to detect GBSS I alleles (SNPs) associated with five classes of amylose (waxy: 0–5%, very low: 5–12%, low: 12–20%, intermediate: 20–25%, and high:25–33%). These can be routinely used to assist breeding programme. Besides, the presence of intra-class variations in amylose content could be attributed to additional regulatory elements or environmental conditions.

Keywords
Glycemic index; Amylose content; Waxy gene; Single nucleotide polymorphisms (SNPs)
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