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item Pinson, Shannon
item Li, Zhikang
item Tabien, Rodante
item Tai, Thomas
item Redus, Marc
item Fjellstrom, Robert

Submitted to: Plant and Animal Genome Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 11/30/2004
Publication Date: 12/1/2004
Citation: Pinson, S.R., Li, Z., Tabien, R.E., Tai, T.H., Redus, M., Fjellstrom, R.G. 2004. Efficient analysis of markers, genes,and QTLs using a permanent rice gene-mapping population. Plant and Animal Genome Conference XIII. p. 141

Interpretive Summary:

Technical Abstract: Genetic maps and populations are the basic tool with which nucleotide sequence and phenotypic traits are linked; they are important tools for functional genomics research. A rice gene-mapping population consisting of 280 F16 recombinant inbred lines was developed from a subspecific cross between the tropical japonica USA cultivar >Lemont= and >Te-Qing=, an indica cultivar from China. These RILs are being used by 15 public and private research groups for efficient evaluation of marker-marker and marker-gene relationships. Due to similar genetic organization between grass species, this population supports genetic studies in several crops in addition to rice. Among existent rice gene-mapping populations, this one is unique in that a) it was the first to be well adapted to USA and other semi tropical growing conditions, b) it exhibits marker segregation ratios that are less genetically skewed than other mapping populations, and c) it consists of a larger set of progeny lines than other populations, allowing for more precise genetic mapping and identification of genes with smaller effect. The population exhibits high molecular polymorphism (80% of evaluated markers), and exhibits morphological extremes for a diverse range of traits. The population has been characterized for 203 RFLP and 140 microsatellite marker loci, and has been used to molecularly map more than 150 major genes and QTLs. With numerous traits and loci being studied in the same population, genetic interactions and linkage relationships between the traits and loci can also be readily evaluated