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Distinct patterns of SSR distribution in the Arabidopsis thaliana and rice genomes

Mark J. Lawson, +1 more
- 21 Feb 2006 - 
- Vol. 7, Iss: 2, pp 1-11
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TLDR
Insight is provided into the evolution and distribution of SSRs in the two sequenced model plant genomes of monocots and dicots and reveals that the distributions appear highly non-random and vary a great deal in different regions of the genes in the genomes.
Abstract
Simple sequence repeats (SSRs) in DNA have been traditionally thought of as functionally unimportant and have been studied mainly as genetic markers. A recent handful of studies have shown, however, that SSRs in different positions of a gene can play important roles in determining protein function, genetic development, and regulation of gene expression. We have performed a detailed comparative study of the distribution of SSRs in the sequenced genomes of Arabidopsis thaliana and rice. SSRs in different genic regions - 5'untranslated region (UTR), 3'UTR, exon, and intron - show distinct patterns of distribution both within and between the two genomes. Especially notable is the much higher density of SSRs in 5'UTRs compared to the other regions and a strong affinity towards trinucleotide repeats in these regions for both rice and Arabidopsis. On a genomic level, mononucleotide repeats are the most prevalent type of SSRs in Arabidopsis and trinucleotide repeats are the most prevalent type in rice. Both plants have the same most common mononucleotide (A/T) and dinucleotide (AT and AG) repeats, but have little in common for the other types of repeats. Our work provides insight into the evolution and distribution of SSRs in the two sequenced model plant genomes of monocots and dicots. Our analyses reveal that the distributions of SSRs appear highly non-random and vary a great deal in different regions of the genes in the genomes.

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Journal ArticleDOI

Microsatellite markers: an overview of the recent progress in plants

TL;DR: The recent developments in plant genetics using SSR markers are discussed and a quantum of literature has accumulated regarding the applicability of SSR based techniques.
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Microsatellite markers: what they mean and why they are so useful.

TL;DR: This review aims to address some theoretical aspects of SSRs, including definition, characterization and biological function, and confirms the current relevance ofSSRs and indicates their continuous utilization in plant science.
Journal ArticleDOI

The genetic map of finger millet, Eleusine coracana.

TL;DR: A genetic map of the tetraploid finger millet genome was generated and a first set of 82 SSR markers was developed to facilitate the use of marker-assisted selection in finger Millet.
Journal ArticleDOI

Development and genetic mapping of microsatellite markers from genome survey sequences in Brassica napus.

TL;DR: A total of 627 new SSR markers were developed based on publicly available genome survey sequences and used to survey polymorphisms among six B. napus cultivars that serve as parents for established populations, finding no correlation was observed between SSR motifs, repeat number or repeat length with polymorphism levels.
Journal ArticleDOI

Transcriptome Sequencing and De Novo Analysis for Ma Bamboo (Dendrocalamus latiflorus Munro) Using the Illumina Platform

TL;DR: In this paper, the authors performed de novo transcriptome sequencing for the first time to produce a comprehensive dataset for the Ma bamboo (Dendrocalamus latiflorus Munro).
References
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An Introduction To Probability Theory And Its Applications

TL;DR: A First Course in Probability (8th ed.) by S. Ross is a lively text that covers the basic ideas of probability theory including those needed in statistics.
Journal ArticleDOI

Analysis of the genome sequence of the flowering plant Arabidopsis thaliana.

TL;DR: This is the first complete genome sequence of a plant and provides the foundations for more comprehensive comparison of conserved processes in all eukaryotes, identifying a wide range of plant-specific gene functions and establishing rapid systematic ways to identify genes for crop improvement.
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