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Genetic relatedness among indigenous rice varieties in the Eastern Himalayan region based on nucleotide sequences of the Waxy gene.

Authors: Choudhury BIKhan MLDayanandan S


Affiliations

1 Biology Department, Forest and Evolutionary Genomics Laboratory, and Centre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke St, West, Montreal, Quebec H4B 1R6, Canada. baharulchoudhury@gmail.com.

Description

Genetic relatedness among indigenous rice varieties in the Eastern Himalayan region based on nucleotide sequences of the Waxy gene.

BMC Res Notes. 2014 Dec 29;7:953

Authors: Choudhury BI, Khan ML, Dayanandan S

Abstract

BACKGROUND: Indigenous rice varieties in the Eastern Himalayan region of Northeast India are traditionally classified into sali, boro and jum ecotypes based on geographical locality and the season of cultivation. In this study, we used DNA sequence data from the Waxy (Wx) gene to infer the genetic relatedness among indigenous rice varieties in Northeast India and to assess the genetic distinctiveness of ecotypes.

FINDINGS: The results of all three analyses (Bayesian, Maximum Parsimony and Neighbor Joining) were congruent and revealed two genetically distinct clusters of rice varieties in the region. The large group comprised several varieties of sali and boro ecotypes, and all agronomically improved varieties. The small group consisted of only traditionally cultivated indigenous rice varieties, which included one boro, few sali and all jum varieties. The fixation index analysis revealed a very low level of differentiation between sali and boro (F(ST)?=?0.005), moderate differentiation between sali and jum (F(ST)?=?0.108) and high differentiation between jum and boro (F(ST)?=?0.230) ecotypes.

CONCLUSION: The genetic relatedness analyses revealed that sali, boro and jum ecotypes are genetically heterogeneous, and the current classification based on cultivation type is not congruent with the genetic background of rice varieties. Indigenous rice varieties chosen from genetically distinct clusters could be used in breeding programs to improve genetic gain through heterosis, while maintaining high genetic diversity.

PMID: 25547027 [PubMed - indexed for MEDLINE]


Links

PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25547027?dopt=Abstract

DOI: 10.1186/1756-0500-7-953