A universal core genetic map for rice View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-02

AUTHORS

Julie Orjuela, Andrea Garavito, Matthieu Bouniol, Juan David Arbelaez, Laura Moreno, Jennifer Kimball, Gregory Wilson, Jean-François Rami, Joe Tohme, Susan R. McCouch, Mathias Lorieux

ABSTRACT

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 x O. glaberrima or O. sativa x 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. More... »

PAGES

563-572

References to SciGraph publications

  • 2005-08. The map-based sequence of the rice genome in NATURE
  • 1987-05. Isozymes and classification of Asian rice varieties in THEORETICAL AND APPLIED GENETICS
  • 1992-08. RFLP analysis of rice (Oryza sativa L.) introgression lines in THEORETICAL AND APPLIED GENETICS
  • 2003-03. Microsatellite mapping of the powdery mildew resistance gene Pm5e in common wheat (Triticum aestivum L.) in THEORETICAL AND APPLIED GENETICS
  • 2000-02. A first interspecific Oryza sativa×Oryza glaberrima microsatellite-based genetic linkage map in THEORETICAL AND APPLIED GENETICS
  • 2004-12. QTL detection for eating quality of cooked rice in a population of chromosome segment substitution lines in THEORETICAL AND APPLIED GENETICS
  • 2006-09. Identification of a Drought Tolerant Introgression Line Derived from Dongxiang Common Wild Rice (O. rufipogon Griff.) in PLANT MOLECULAR BIOLOGY
  • 2008-04. Efficient QTL detection for nonhost resistance in wild lettuce: backcross inbred lines versus F2 population in THEORETICAL AND APPLIED GENETICS
  • 2003-11. Genetic diversity in the northernmost Oryza rufipogon populations estimated by SSR markers in THEORETICAL AND APPLIED GENETICS
  • 2001-03. Molecular markers linked to stem rot resistance in rice in THEORETICAL AND APPLIED GENETICS
  • 2005-09. Genome-wide Introgression Lines and their Use in Genetic and Molecular Dissection of Complex Phenotypes in Rice (Oryza sativa L.) in PLANT MOLECULAR BIOLOGY
  • 2005-01. Study on heterosis of inter-subspecies between indica and japonica rice (Oryza sativa L.) using chromosome segment substitution lines in SCIENCE BULLETIN
  • 1997-07. Molecularmarker diversity and hybrid sterility in indica-japonica rice crosses in THEORETICAL AND APPLIED GENETICS
  • 2006-02. Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits in THEORETICAL AND APPLIED GENETICS
  • 2005-11. Genetic Structure of Wild Rice Oryza Glumaepatula Populations in Three Brazilian Biomes Using Microsatellite Markers in GENETICA
  • 1997-07. First steps towards a rational use of African rice, Oryza glaberrima, in rice breeding through a ‘contig line’ concept in EUPHYTICA
  • 2002-08. Fluorescent-labeled microsatellite panels useful for detecting allelic diversity in cultivated rice (Oryza sativa L.) in THEORETICAL AND APPLIED GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00122-009-1176-1

    DOI

    http://dx.doi.org/10.1007/s00122-009-1176-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045690938

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19847389


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