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Reference Title Data mining for simple sequence repeats in expressed
sequence tags from barley, maize, rice, sorghum and wheat
Journal Plant Molecular Biology
Year 2002
Volume 48
Page 501 510
Author Kantety RV
La Rota M
Matthews DE
Sorrells ME
Abstract Summary: Plant genomics projects involving model species and
many agriculturally important crops are resulting in a
rapidly increasing database of genomic and expressed DNA
sequences. The publicly available collection of expressed
sequence tags (ESTs) from several grass species can be used
in the analysis of both structural and functional
relationships in these genomes. We analyzed over 260000 EST
sequences from five different cereals for their potential
use in developing simple sequence repeat (SSR) markers. The
frequency of SSR-containing ESTs (SSR-ESTs) in this
collection varied from 1.5% for maize to 4.7% for rice. In
addition, we identified several ESTs that are related to the
SSR-ESTs by BLAST analysis. The SSR-ESTs and the related
sequences were clustered within each species in order to
reduce the redundancy and to produce a longer consensus
sequence. The consensus and singleton sequences from each
species were pooled and clustered to identify cross-species
matches. Overall a reduction in the redundancy by 85% was
observed when the resulting consensus and singleton
sequences (3569) were compared to the total number of
SSR-EST and related sequences analyzed (24606). This
information can be useful for the development of SSR markers
that can amplify across the grass genera for comparative
mapping and genetics. Functional analysis may reveal their
role in plant metabolism and gene evolution
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