Identification of a non-redundant set of 202 in silico SSR markers and applicability of a select set in chickpea (Cicer arietinum L.)

Agarwal, G and Sabbavarapu, M M and Singh, V K and Thudi, M and Sheelamary, S and Gaur, P M and Varshney, R K (2015) Identification of a non-redundant set of 202 in silico SSR markers and applicability of a select set in chickpea (Cicer arietinum L.). Euphytica. pp. 1-14. ISSN 1573-5060

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Abstract

The paucity of sequence information flanking the simple sequence repeat (SSR) motifs identified especially in the transcript sequences has been limiting factor in the development of SSR markers for plant genome analysis as well as breeding applications. To overcome this and enhance the genic SSR marker repertoire in chickpea, the draft genome sequence of kabuli chickpea (CDC Frontier) and publicly available transcript sequences consisting of in silico identified SSR motifs were deployed in the present study. In this direction, the 300 bp sequence flanking the SSR motifs were retrieved by aligning 566 SSR containing transcripts of ICCV 2 available in public domain on the reference chickpea genome. A set of 202 novel genic SSRs were developed from a set of 507 primer pairs designed, based on in silico amplification of single locus and having no similarity to the publicly available SSR markers. Further, 40 genic SSRs equally distributed on chickpea genome were validated on a select set of 44 chickpea genotypes (including 41 Cicer arietinum and 3 Cicer reticulatum), out of which 25 were reported to be polymorphic. The polymorphism information content (PIC) value of 25 polymorphic genic SSRs ranged from 0.11 to 0.77 and number of alleles varied from 2 to 9. Clear demarcation among founder lines of multi-parent advanced generation inter-cross (MAGIC) population developed at ICRISAT and near-isogenic nature of JG 11 and JG11 + demonstrates the usefulness of these markers in chickpea diversity analysis and breeding studies. Further, genic polymorphic SSRs reported between parental lines of 16 different mapping populations along with the novel SSRs can be deployed for trait mapping and breeding applications in chickpea.

Item Type: Article
Divisions: RP-Grain Legumes
CRP: CGIAR Research Program on Grain Legumes
Uncontrolled Keywords: Genic SSR; In silico; Transcriptome; Kabuli; Desi; Wild
Subjects: Mandate crops > Chickpea
Depositing User: Mr Ramesh K
Date Deposited: 10 Jul 2015 04:25
Last Modified: 21 Oct 2016 06:22
URI: http://oar.icrisat.org/id/eprint/8847
Official URL: http://dx.doi.org/10.1007/s10681-015-1394-3
Projects: UNSPECIFIED
Funders: UNSPECIFIED
Acknowledgement: UNSPECIFIED
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