<it>In silico </it>comparative analysis of SSR markers in plants

<p>Abstract</p> <p>Background</p> <p>The adverse environmental conditions impose extreme limitation to growth and plant development, restricting the genetic potential and reflecting on plant yield losses. The progress obtained by classic plant breeding methods aiming at...

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Main Authors: da Maia Luciano C, Victoria Filipe C, de Oliveira Antonio
Format: Article
Language:English
Published: BMC 2011-01-01
Series:BMC Plant Biology
Online Access:http://www.biomedcentral.com/1471-2229/11/15
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author da Maia Luciano C
Victoria Filipe C
de Oliveira Antonio
author_facet da Maia Luciano C
Victoria Filipe C
de Oliveira Antonio
author_sort da Maia Luciano C
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The adverse environmental conditions impose extreme limitation to growth and plant development, restricting the genetic potential and reflecting on plant yield losses. The progress obtained by classic plant breeding methods aiming at increasing abiotic stress tolerances have not been enough to cope with increasing food demands. New target genes need to be identified to reach this goal, which requires extensive studies of the related biological mechanisms. Comparative analyses in ancestral plant groups can help to elucidate yet unclear biological processes.</p> <p>Results</p> <p>In this study, we surveyed the occurrence patterns of expressed sequence tag-derived microsatellite markers for model plants. A total of 13,133 SSR markers were discovered using the <it>SSRLocator </it>software in non-redundant EST databases made for all eleven species chosen for this study. The dimer motifs are more frequent in lower plant species, such as green algae and mosses, and the trimer motifs are more frequent for the majority of higher plant groups, such as monocots and dicots. With this <it>in silico </it>study we confirm several microsatellite plant survey results made with available bioinformatics tools.</p> <p>Conclusions</p> <p>The comparative studies of EST-SSR markers among all plant lineages is well suited for plant evolution studies as well as for future studies of transferability of molecular markers.</p>
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spelling doaj.art-596abb01d8334af9bbb823dd5c37f8792022-12-22T01:40:49ZengBMCBMC Plant Biology1471-22292011-01-011111510.1186/1471-2229-11-15<it>In silico </it>comparative analysis of SSR markers in plantsda Maia Luciano CVictoria Filipe Cde Oliveira Antonio<p>Abstract</p> <p>Background</p> <p>The adverse environmental conditions impose extreme limitation to growth and plant development, restricting the genetic potential and reflecting on plant yield losses. The progress obtained by classic plant breeding methods aiming at increasing abiotic stress tolerances have not been enough to cope with increasing food demands. New target genes need to be identified to reach this goal, which requires extensive studies of the related biological mechanisms. Comparative analyses in ancestral plant groups can help to elucidate yet unclear biological processes.</p> <p>Results</p> <p>In this study, we surveyed the occurrence patterns of expressed sequence tag-derived microsatellite markers for model plants. A total of 13,133 SSR markers were discovered using the <it>SSRLocator </it>software in non-redundant EST databases made for all eleven species chosen for this study. The dimer motifs are more frequent in lower plant species, such as green algae and mosses, and the trimer motifs are more frequent for the majority of higher plant groups, such as monocots and dicots. With this <it>in silico </it>study we confirm several microsatellite plant survey results made with available bioinformatics tools.</p> <p>Conclusions</p> <p>The comparative studies of EST-SSR markers among all plant lineages is well suited for plant evolution studies as well as for future studies of transferability of molecular markers.</p>http://www.biomedcentral.com/1471-2229/11/15
spellingShingle da Maia Luciano C
Victoria Filipe C
de Oliveira Antonio
<it>In silico </it>comparative analysis of SSR markers in plants
BMC Plant Biology
title <it>In silico </it>comparative analysis of SSR markers in plants
title_full <it>In silico </it>comparative analysis of SSR markers in plants
title_fullStr <it>In silico </it>comparative analysis of SSR markers in plants
title_full_unstemmed <it>In silico </it>comparative analysis of SSR markers in plants
title_short <it>In silico </it>comparative analysis of SSR markers in plants
title_sort it in silico it comparative analysis of ssr markers in plants
url http://www.biomedcentral.com/1471-2229/11/15
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