TITLE:
In Silico Mining of EST-SSRs in Jatropha curcas L. towards Assessing Genetic Polymorphism and Marker Development for Selection of High Oil Yielding Clones
AUTHORS:
Neeraj Jain, Ganesh B. Patil, Poonam Bhargava, Rajani S. Nadgauda
KEYWORDS:
Bio-Diesel, Jatropha curcas L., EST, SSR, MAS, Diversity, Marker, Mining, Polymorphism, In Silico
JOURNAL NAME:
American Journal of Plant Sciences,
Vol.5 No.11,
May
16,
2014
ABSTRACT: In recent years, Jatropha curcas L. has gained popularity
as a potential biodiesel plant. The varying oil content, reported between
accessions belonging to different agroclimatic zones, has necessitated the
assessment of the existing genetic variability to generate reliable molecular
markers for selection of high oil yielding variety. EST derived SSR markers are
more useful than genomic markers as they represent the transcriptome, thus,
directly linked to functional genes. The present report describes the in silico mining of the microsatellites
(SSRs) using J. curcas ESTs from
various tissues viz. embryo, root, leaf and seed available in the public domain
of NCBI. A total of 13,513 ESTs were downloaded. From these ESTs, 7552 unigenes
were obtained and 395 SSRs were generated from 377 SSR-ESTs. These EST-SSRs can
be used as potential microsatellite markers for diversity analysis, MAS etc.
Since the Jatropha genes carrying
SSRs have been identified in this study, thus, EST-SSRs directly linked to
genes will be useful for developing trait linked markers.