A universal core genetic map for rice

To facilitate the creation of easily comparable, low-resolution genetic maps with evenly distributed markers in rice (Oryza sativa L.), we conceived of and developed a Universal Core Genetic Map (UCGM). With this aim, we derived a set of 165 anchors, representing clusters of three microsatellite or...

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Autores principales: Orjuela, J., Garavito, AM, Bouniol, M, Arbeláez Vélez, Juan D., Moreno, L, Kimball, J, Wilson, G, Rami, J.F., Tohme, Joseph M., McCouch, Susan R., Lorieux, Mathias
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2010
Materias:
Acceso en línea:https://hdl.handle.net/10568/42541
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author Orjuela, J.
Garavito, AM
Bouniol, M
Arbeláez Vélez, Juan D.
Moreno, L
Kimball, J
Wilson, G
Rami, J.F.
Tohme, Joseph M.
McCouch, Susan R.
Lorieux, Mathias
author_browse Arbeláez Vélez, Juan D.
Bouniol, M
Garavito, AM
Kimball, J
Lorieux, Mathias
McCouch, Susan R.
Moreno, L
Orjuela, J.
Rami, J.F.
Tohme, Joseph M.
Wilson, G
author_facet Orjuela, J.
Garavito, AM
Bouniol, M
Arbeláez Vélez, Juan D.
Moreno, L
Kimball, J
Wilson, G
Rami, J.F.
Tohme, Joseph M.
McCouch, Susan R.
Lorieux, Mathias
author_sort Orjuela, J.
collection Repository of Agricultural Research Outputs (CGSpace)
description To facilitate the creation of easily comparable, low-resolution genetic maps with evenly distributed markers in rice (Oryza sativa L.), we conceived of and developed a Universal Core Genetic Map (UCGM). With this aim, we derived a set of 165 anchors, representing clusters of three microsatellite or simple sequence repeat (SSR) markers arranged into non-recombining groups. Each anchor consists of at least three, closely linked SSRs, located within a distance below the genetic resolution provided by common, segregating populations (<500 individuals). We chose anchors that were evenly distributed across the rice chromosomes, with spacing between 2 and 3.5 Mbp (except in the telomeric regions, where spacing was 1.5 Mbp). Anchor selection was performed using in silico tools and data: the O. sativa cv. Nipponbare rice genome sequence, the CHARM tool, information from the Gramene database and the OrygenesDB database. Sixteen AA-genome accessions of the Oryza genus were used to evaluate polymorphisms for the selected markers, including accessions from O. sativa, O. glaberrima, O. barthii, O. rufipogon, O. glumaepatula and O. meridionalis. High levels of polymorphism were found for the tested O. sativa × O. glaberrima or O. sativa × wild rice combinations. We developed Paddy Map, a simple database that is helpful in selecting optimal sets of polymorphic SSRs for any cross that involves the previously mentioned species. Validation of the UCGM was done by using it to develop three interspecific genetic maps and by comparing genetic SSR locations with their physical positions on the rice pseudomolecules. In this study, we demonstrate that the UCGM is a useful tool for the rice genetics and breeding community, especially in strategies based on interspecific hybridisation.
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spelling CGSpace425412024-08-27T10:36:41Z A universal core genetic map for rice Orjuela, J. Garavito, AM Bouniol, M Arbeláez Vélez, Juan D. Moreno, L Kimball, J Wilson, G Rami, J.F. Tohme, Joseph M. McCouch, Susan R. Lorieux, Mathias genetic markers interspecific hybridization microsatellites rice databases polymorphism marcadores genéticos hibridación interespecifica microsatélites arroz bases de datos polimorfismo pre print To facilitate the creation of easily comparable, low-resolution genetic maps with evenly distributed markers in rice (Oryza sativa L.), we conceived of and developed a Universal Core Genetic Map (UCGM). With this aim, we derived a set of 165 anchors, representing clusters of three microsatellite or simple sequence repeat (SSR) markers arranged into non-recombining groups. Each anchor consists of at least three, closely linked SSRs, located within a distance below the genetic resolution provided by common, segregating populations (<500 individuals). We chose anchors that were evenly distributed across the rice chromosomes, with spacing between 2 and 3.5 Mbp (except in the telomeric regions, where spacing was 1.5 Mbp). Anchor selection was performed using in silico tools and data: the O. sativa cv. Nipponbare rice genome sequence, the CHARM tool, information from the Gramene database and the OrygenesDB database. Sixteen AA-genome accessions of the Oryza genus were used to evaluate polymorphisms for the selected markers, including accessions from O. sativa, O. glaberrima, O. barthii, O. rufipogon, O. glumaepatula and O. meridionalis. High levels of polymorphism were found for the tested O. sativa × O. glaberrima or O. sativa × wild rice combinations. We developed Paddy Map, a simple database that is helpful in selecting optimal sets of polymorphic SSRs for any cross that involves the previously mentioned species. Validation of the UCGM was done by using it to develop three interspecific genetic maps and by comparing genetic SSR locations with their physical positions on the rice pseudomolecules. In this study, we demonstrate that the UCGM is a useful tool for the rice genetics and breeding community, especially in strategies based on interspecific hybridisation. 2010-02 2014-09-24T07:58:10Z 2014-09-24T07:58:10Z Journal Article https://hdl.handle.net/10568/42541 en Limited Access Springer
spellingShingle genetic markers
interspecific hybridization
microsatellites
rice
databases
polymorphism
marcadores genéticos
hibridación interespecifica
microsatélites
arroz
bases de datos
polimorfismo
pre print
Orjuela, J.
Garavito, AM
Bouniol, M
Arbeláez Vélez, Juan D.
Moreno, L
Kimball, J
Wilson, G
Rami, J.F.
Tohme, Joseph M.
McCouch, Susan R.
Lorieux, Mathias
A universal core genetic map for rice
title A universal core genetic map for rice
title_full A universal core genetic map for rice
title_fullStr A universal core genetic map for rice
title_full_unstemmed A universal core genetic map for rice
title_short A universal core genetic map for rice
title_sort universal core genetic map for rice
topic genetic markers
interspecific hybridization
microsatellites
rice
databases
polymorphism
marcadores genéticos
hibridación interespecifica
microsatélites
arroz
bases de datos
polimorfismo
pre print
url https://hdl.handle.net/10568/42541
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