We searched for SNPs in 417 regions distributed throughout the genome of three Oryza sativa ssp. japonica cultivars, two indica cultivars, and a wild rice (O. rufipogon). We found 2800 SNPs in approximately 250,000 aligned bases for an average of one SNP every 89 bp, or one SNP every 232 bp between two randomly selected strains. Graphic representation of the frequency of SNPs along each chromosome showed uneven distribution of polymorphism-rich and -poor regions, but little obvious association with the centromere or telomere. The 94 SNPs that we found between the closely related cultivars 'Nipponbare' and 'Koshihikari' can be converted into molecular markers. Our establishment of 213 co-dominant SNP markers distributed throughout the genome illustrates the immense potential of SNPs as molecular markers not only for genome research, but also for molecular breeding of rice.

Cold tolerance at the seedling stage (CTSS) is an important trait affecting stable rice production in temperate climates and areas of high elevation. In this study, 331 single nucleotide polymorphism (SNP) markers were developed and used along with phenotypic evaluation to identify quantitative trait loci (QTLs) associated with CTSS from a mapping population of 184 F(2) plants derived from a cold tolerant wild rice, W1943 (Oryza rufipogon), and a sensitive indica cultivar, Guang-lu-ai 4 (GLA4). Three QTLs were detected on chromosomes 3, 10 and 11. A major locus, qCtss11 (QTL for cold tolerance at seedling stage), was located on the long arm of chromosome 11 explaining about 40% of the phenotypic variation. Introduction of the W1943 allele of qCtss11 to the GLA4 genetic background increased CTSS. Based on the phenotypic and genotypic assessment of advanced backcross progenies, qCtss11 was dissected as a single Mendelian factor. A high-resolution genetic map was constructed using 23 markers across the qCtss11 locus. As a result, qCtss11 was fine mapped to a 60-kb candidate region defined by marker AK24 and GP0030 on chromosome 11, in which six genes were annotated. Expression and resequence analyses of the six candidates supported the hypothesis that Os11g0615600 and/or Os11g0615900 are causal gene(s) of the CTSS.

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Grain shape is an important trait for improving rice yield. A number of quantitative trait loci (QTLs) for this trait have been identified by using primary F2 mapping populations and recombinant inbred lines, in which QTLs with a small effect are harder to detect than they would be in advanced generations. In this study, we developed two advanced mapping populations (chromosome segment substitution lines [CSSLs] and BC4F2 lines consisting of more than 2000 individuals) in the genetic backgrounds of two improved cultivars: a japonica cultivar (Koshihikari) with short, round grains, and an indica cultivar (IR64) with long, slender grains. We compared the ability of these materials to reveal QTLs for grain shape with that of an F2 population. Only 8 QTLs for grain length or grain width were detected in the F2 population, versus 47 in the CSSL population and 65 in the BC4F2 population. These results strongly suggest that advanced mapping populations can reveal QTLs for agronomic traits under complicated genetic control, and that DNA markers linked with the QTLs are useful for choosing superior allelic combinations to enhance grain shape in the Koshihikari and IR64 genetic backgrounds.

BackgroundHeading date, a crucial factor determining regional and seasonal adaptation in rice (Oryza sativa L.), has been a major selection target in breeding programs. Although considerable progress has been made in our understanding of the molecular regulation of heading date in rice during last two decades, the previously isolated genes and identified quantitative trait loci (QTLs) cannot fully explain the natural variation for heading date in diverse rice accessions.ResultsTo genetically dissect naturally occurring variation in rice heading date, we collected QTLs in advanced-backcross populations derived from multiple crosses of the japonica rice accession Koshihikari (as a common parental line) with 11 diverse rice accessions (5 indica, 3 aus, and 3 japonica) that originate from various regions of Asia. QTL analyses of over 14,000 backcrossed individuals revealed 255 QTLs distributed widely across the rice genome. Among the detected QTLs, 128 QTLs corresponded to genomic positions of heading date genes identified by previous studies, such as Hd1, Hd6, Hd3a, Ghd7, DTH8, and RFT1. The other 127 QTLs were detected in different chromosomal regions than heading date genes.ConclusionsOur results indicate that advanced-backcross progeny allowed us to detect and confirm QTLs with relatively small additive effects, and the natural variation in rice heading date could result from combinations of large- and small-effect QTLs. We also found differences in the genetic architecture of heading date (flowering time) among maize, Arabidopsis, and rice.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-015-0501-x) contains supplementary material, which is available to authorized users.