Abstract
Molecular genetic markers represent one of the most powerful tools for the analysis of genomes and enable the association of heritable traits with underlying genomic variation. Molecular marker technology has developed rapidly over the last decade and two forms of sequence based marker, Simple Sequence Repeats (SSRs), also known as microsatellites, and Single Nucleotide Polymorphisms (SNPs) now predominate applications in modern genetic analysis. The reducing cost of DNA sequencing has led to the availability of large sequence data sets derived from whole genome sequencing and large scale Expressed Sequence Tag (EST) discovery that enable the mining of SSRs and SNPs, which may then be applied to diversity analysis, genetic trait mapping, association studies, and marker assisted selection. These markers are inexpensive, require minimal labour to produce and can frequently be associated with annotated genes. Here we review automated methods for the discovery of SSRs and SNPs and provide an overview of the diverse applications of these markers.
Keywords: Simple sequence repeats (SSRs), single nucleotide polymorphisms (SNPs), molecular markers, expressed sequence tags (ESTs), genome sequencing
Current Bioinformatics
Title: Molecular Genetic Markers: Discovery, Applications, Data Storage and Visualisation
Volume: 4 Issue: 1
Author(s): Chris Duran, Nikki Appleby, David Edwards and Jacqueline Batley
Affiliation:
Keywords: Simple sequence repeats (SSRs), single nucleotide polymorphisms (SNPs), molecular markers, expressed sequence tags (ESTs), genome sequencing
Abstract: Molecular genetic markers represent one of the most powerful tools for the analysis of genomes and enable the association of heritable traits with underlying genomic variation. Molecular marker technology has developed rapidly over the last decade and two forms of sequence based marker, Simple Sequence Repeats (SSRs), also known as microsatellites, and Single Nucleotide Polymorphisms (SNPs) now predominate applications in modern genetic analysis. The reducing cost of DNA sequencing has led to the availability of large sequence data sets derived from whole genome sequencing and large scale Expressed Sequence Tag (EST) discovery that enable the mining of SSRs and SNPs, which may then be applied to diversity analysis, genetic trait mapping, association studies, and marker assisted selection. These markers are inexpensive, require minimal labour to produce and can frequently be associated with annotated genes. Here we review automated methods for the discovery of SSRs and SNPs and provide an overview of the diverse applications of these markers.
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Cite this article as:
Duran Chris, Appleby Nikki, Edwards David and Batley Jacqueline, Molecular Genetic Markers: Discovery, Applications, Data Storage and Visualisation, Current Bioinformatics 2009; 4 (1) . https://dx.doi.org/10.2174/157489309787158198
DOI https://dx.doi.org/10.2174/157489309787158198 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |
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