Molecular Genetic Markers: Discovery, Applications, Data Storage and Visualisation

被引:89
作者
Duran, Chris [1 ]
Appleby, Nikki [1 ]
Edwards, David [1 ]
Batley, Jacqueline [1 ,2 ]
机构
[1] Univ Queensland, Australian Ctr Plant Funct Gen, Inst Mol Biosci, Sch Land Crop & Food Sci, Brisbane, Qld 4072, Australia
[2] Univ Queensland, ARC Ctr Excellence Integrat Legume Res, Brisbane, Qld 4072, Australia
关键词
Simple sequence repeats (SSRs); single nucleotide polymorphisms (SNPs); molecular markers; expressed sequence tags (ESTs); genome sequencing; SINGLE-NUCLEOTIDE POLYMORPHISMS; SIMPLE-SEQUENCE REPEATS; COMPARATIVE PLANT GENOMICS; INFORMATION RESOURCE TAIR; MODEL ORGANISM DATABASE; SSR-MARKERS; MICROSATELLITE MARKERS; EXPRESSED SEQUENCES; IN-SILICO; ARABIDOPSIS-THALIANA;
D O I
10.2174/157489309787158198
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
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页码:16 / 27
页数:12
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