Difference between revisions of "SSR discovery"

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SSR Discovery

Molecular genetic markers represent one of the most powerful tools for the analysis of plant genomes and the association of heritable traits with underlying genetic variation. One form of sequence based marker, Simple Sequence Repeats (SSRs), also known as microsatellites, now predominate applications in modern plant genetic analysis and are one of the most powerful genetic markers. The reducing cost of DNA sequencing and increasing availability of large sequence data sets permits the mining of this data for large numbers of SSRs. These may then be used in applications such as genetic linkage analysis and trait mapping, diversity analysis, association studies, and marker assisted selection.

SSRs are short stretches of DNA sequence occurring as tandem repeats of mono-, di-, tri-, tetra-, penta- and hexa-nucleotides. They are highly polymorphic and informative markers. The high level of polymorphism is due to mutation affecting the number of repeat units. The value of SSRs is due to their genetic co-dominance, abundance, dispersal throughout the genome, multi-allelic variation and high reproducibility. They are also widely and ubiquitously distributed throughout eukaryotic genomes. These properties provide a number of advantages over other molecular markers, namely that multiple SSR alleles may be detected at a single locus using a simple PCR based screen, very small quantities of DNA are required for screening, and analysis is amenable to automated allele detection and sizing. The hypervariability of SSRs among related organisms makes them excellent markers for a wide range of applications, including genetic mapping, molecular tagging of genes, genotype identification, analysis of genetic diversity, phenotype mapping and marker assisted selection. SSRs demonstrate a high degree of transferability between species, as PCR primers designed to an SSR within one species frequently amplify a corresponding locus in related species, enabling comparative genetic and genomic analysis. The SSRs that are transferable between species enable studies of synteny and genome rearrangement across taxa.

The rapid expansion in the availability of sequence data enables the identification of genes and markers underlying key traits for application in molecular breeding and germplasm enhancement. When SSRs are derived from Expressed Sequence Tags (ESTs), they become gene specific. These features make EST-SSRs highly valuable markers for the construction and comparison of genetic maps. The development of SSRs has traditionally been limited by the time consuming and labour intensive requirement to construct, enrich and sequence genomic libraries. However, the identification of SSRs from expressed sequences, produced during gene discovery projects, provides a rich source of valuable molecular markers. Furthermore, these sequences, and the markers developed from them, are a valuable resource for comparative genomic studies.

Previously we have applied the tool SSRPrimer for the rapid discovery of Simple Sequence Repeats (SSRs) from bulk sequence data (Robinson et al., 2004) and from all sequences in Genbank using SSRTaxonomy Tree (Jewell et al., 2006). SSRPrimer combines Sputnik, a program to identify SSRs in the sequence, with Primer3, to design PCR primers for amplifying the SSR. SSRTaxonomy Tree applies this tool on a species wide scale. While these tools enables the rapid and cost effective discovery of SSRs, laboratory assessment is still required to measure their polymorphic status and therefore their applicability to genetic studies. The in silico enrichment of discovered SSRs, for those likely to be polymorphic, would save considerable expense in laboratory assessment through reducing the number of interrogation primers designed to monomorphic SSRs. We have therefore developed a tool for the in silico identification of polymorphic SSRs from assembled redundant expressed sequences. References

   * Jewell, E., Robinson, A., Savage, D., Erwin, T., Love, C. G., Lim, G. A. C., Li, X., Batley, J., Spangenberg, G. C. and Edwards, D. (2006) SSRPrimer and SSR Taxonomy Tree: Biome SSR discovery, Nucleic Acids Research, 34, W656-W659
   * Robinson, A. J., Love, C. G., Batley, J., Barker, G. and Edwards, D. (2004) Simple sequence repeat marker loci discovery using SSR primer, Bioinformatics, 20, 1475-1476

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