Development of EST-SSR markers through data mining and their use for genetic diversity study in Indian accessions of Jatropha curcas L.: a potential energy crop

Abstract

Jatropha curcas L. is gaining importance as a potential energy crop. However, lack of sufficient numbers of molecular markers hinder current research on crop improvement in Jatropha. The expressed sequences tags (EST) sequences deposited in public databases, offers an excellent opportunity to identify simple sequence repeats (SSRs) through data mining, for further research on molecular breeding. In the present study 42,477 ESTs of J. curcas were screened, out of which 5,673 SSRs were identified with 48.8 % simple (excluding mononucleotide repeats) and 52.2 % compound repeat motifs. Amongst these repeat motifs, dinucleotide repeats were abundant (26.5 %), followed by trinucleotide (23.1 %) and tetranucleotide repeats (0.8 %). From these microsatellites, 32 EST-SSR (genic microsatellite) primer pairs were designed. These primers were used to analyze the genetic diversity among 42 accessions collected from different parts of India. Out of the 32 EST-SSR primers, 24 primer pairs exhibited polymorphism among the genotypes, with amplicons varying from one to eight, giving an average of 2.33 alleles per polymorphic marker. Polymorphic information content value ranged from 0.02 to 0.5 with an average of 0.402 indicating moderate level of informativeness within these EST-SSRs markers. The EST-SSR markers developed here will serve as a valuable resource for genetic studies, like linkage mapping, diversity analysis, quantitative trait locus/association mapping, and molecular breeding. The current study also revealed low diversity in the screened Indian Jatropha germplasm. Therefore, the future efforts must be made to broaden the gene pool of Jatropha for the creation of genetic diversity that can be further used for crop improvement through breeding.