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Title

Distribution and characterization of simple sequence repeats in Gossypium raimondii genome

 

Authors

Changsong Zou, Cairui Lu, Youping Zhang & Guoli Song*

 

Affiliation

State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China.

 

Email

cs.zou@163.com; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received August 20, 2012; Accepted August 20, 2012; Published September 11, 2012

 

Abstract

Simple sequence repeats (SSRs) can be derived from the complete genome sequence. These markers are important for gene mapping as well as marker-assisted selection (MAS). To develop SSRs for cotton gene mapping, we selected the complete genome sequence of Gossypium raimondii, which consisted of 4447 non-redundant scaffolds. Out of 775.2 Mb sequence examined, a total of 136,345 microsatellites were identified with a density of 5.69 kb per SSR in the G. raimondii genome leading to development of 112,177 primer pairs. The distributions of SSRs in the genome were non-random. Among the different motifs ranging from 1 to 6 bp, penta-nucleotide repeats were most abundant (30.5%), followed by tetra-nucleotide repeats (18.2%) and di-nucleotide repeats (16.9%). Among all identified 457 motif types, the most frequently occurring repeat motifs were poly-AT/TA, which accounted for 79.8% of the total di-nt SSRs, followed by AAAT/TTTA with 51.5% of the total tetra-nucleotede. Further, 18,834 micro satellites were detected from the protein-coding genes, and the frequency of gene containing SSRs was 46.0% in 40,976 genes of G. raimondii. These genome-based SSRs developed in the present study will lay the groundwork for developing large numbers of SSR markers for genetic mapping, gene discovery, genetic diversity analysis, and MAS breeding in cotton.

 

Keywords

Gossypium raimondii, Simple Sequence Repeats (SSRs), distribution, molecular marker

 

Citation

Zou et al. Bioinformation 8(17): 801-806 (2012)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.