Mining, characterization and validation of EST derived microsatellites from the transcriptome database of Allium sativum L.

ABSTRACT: Expressed Sequence Tags (ESTs) with comprehensive transcript information are valuable resources for development of molecular markers as they are derived from conserved genic regions. The present study highlights the mining of EST database to deduce the class I hyper variable SSRs in A. sativum. From 21694 garlic EST sequences, 642 non-redundant SSRs were identified with an average frequency of 1 per 14.9 kb of garlic transcriptome. The most abundant SSR motifs were the mononucleotides (32.86%) followed by trinucleotides (28.50%) and dinucleotides (13.39%). Among the individual SSRs, (A/T)n accounted for the highest number (137; 21.33%) followed by (G/C)n (74; 11.52%) and (AAG)n (63;9.81%). Primers designed from a robust set of 7 AsESTSSRs resulted in the amplification of 63 polymorphic all

SUBMITTER: Chand SK 

PROVIDER: S-EPMC4421003 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature