To identify the chromosomal regions controlling the eating quality of Koshihikari rice, we performed a quantitative trait locus (QTL) analysis using two backcross inbred lines (BILs): N-BILs (79 lines derived from a cross of Nipponbare/Koshihikari//Nipponbare) and K-BILs (89 lines derived from a cross of Nipponbare/ Koshihikari//Koshihikari). We evaluated several components of the eating quality of cooked rice, namely glossiness, taste, stickiness, hardness, and overall evaluation, based on sensory tests by a trained panel, and amylose and protein contents. Ten QTLs for these components were detected in N-BILs (two regions of chromosome [chr.] 3 and one of chr. 11), and six in K-BILs (chr. 3 and chr. 6). Each QTL explained 11.6% to 32.0% of the total phenotypic variance. QTLs at the distal end of the short arm of chr. 3 were commonly identified in both BILs. The Koshihikari alleles at these QTLs increased eating quality. The genetic effect of the Koshihikari alleles was confirmed by analysis of a chromosome segment substitution line containing a Koshihikari segment of the short arm of chr. 3 in the Nipponbare background.
Using the transition matrix of inbreeding and coancestry coefficients, the inbreeding (N eI ), variance (N eV ), and asymptotic (N e ) effective sizes of mixed sexual and asexual populations are formulated in terms of asexuality rate (␦), variance of asexual (C ) and sexual (K ) reproductive contributions of individuals, correlation between asexual and sexual contributions ( ck ), selfing rate (), and census population size (N ). The trajectory of N eI toward N e changes crucially depending on ␦, N, and , whereas that of N eV is rather consistent. With increasing asexuality, N e either increases or decreases depending on C, K, and ck . The parameter space in which a partially asexual population has a larger N e than a fully sexual population is delineated. This structure is destroyed when N(1 Ϫ ␦) Ͻ 1 or ␦ Ͼ 1 Ϫ 1/N. With such a high asexuality, tremendously many generations are required for the asymptotic size N e to be established, and N e is extremely large with any value of C, K, and ck because the population is dominated eventually by individuals of the same genotype and the allelic diversity within the individuals decays quite slowly. In reality, the asymptotic state would occur only occasionally, and instantaneous rather than asymptotic effective sizes should be practical when predicting evolutionary dynamics of highly asexual populations.
Recent exploitation of DNA markers of desirable trait genes facilitates construction of high‐degree, gene‐pyramided lines via assembling markers from multiple donor lines. In such a program, a plant that has all the target markers in a heterozygous state must be produced first. Efficient procedures for that are discussed. When pyramiding the genes onto the genetic background of a particular recipient line, the backcross should be performed separately for each donor before the crossing between the donors. The plants produced through the backcross should be crossed in a schedule with structure and disposition of the plants as symmetric as possible. When four such plants (A, B, C, and D) are produced, for instance, they should be crossed in a schedule like (A × B) × (C × D) in which the number of target markers of A plus B should be as similar as possible to that of C plus D. Ideal‐type schedules in the presence of four to eight donors are presented. A contrastingly different guideline applies when the donors themselves are crossed without the backcross; they should be crossed in a schedule with completely tandem structure in which donors with fewer target markers enter the schedule in earlier stages. The disposition of donors in the schedule should be modified in the presence of linked or redundant markers. Donors should be disposed in a pattern to minimize the occurrence of repulsion linkages. Formulae for the modification under a high redundancy are presented.
Biomass yield of rice (Oryza sativa L.) is an important breeding target, yet it is not easy to improve because the trait is complex and phenotyping is laborious. Using progeny derived from a cross between two high-yielding Japanese cultivars, we evaluated whether quantitative trait locus (QTL)-based selection can improve biomass yield. As a measure of biomass yield, we used plant weight (aboveground parts only), which included grain weight and stem and leaf weight. We measured these and related traits in recombinant inbred lines. Phenotypic values for these traits showed a continuous distribution with transgressive segregation, suggesting that selection can affect plant weight in the progeny. Four significant QTLs were mapped for plant weight, three for grain weight, and five for stem and leaf weight (at α = 0.05); some of them overlapped. Multiple regression analysis showed that about 43% of the phenotypic variance of plant weight was significantly explained (P < 0.0001) by six of the QTLs. From F2 plants derived from the same parental cross as the recombinant inbred lines, we divergently selected lines that carried alleles with positive or negative additive effects at these QTLs, and performed successive selfing. In the resulting F6 lines and parents, plant weight significantly differed among the genotypes (at α = 0.05). These results demonstrate that QTL-based selection is effective in improving rice biomass yield.
BackgroundHigh-yielding cultivars of rice (Oryza sativa L.) have been developed in Japan from crosses between overseas indica and domestic japonica cultivars. Recently, next-generation sequencing technology and high-throughput genotyping systems have shown many single-nucleotide polymorphisms (SNPs) that are proving useful for detailed analysis of genome composition. These SNPs can be used in genome-wide association studies to detect candidate genome regions associated with economically important traits. In this study, we used a custom SNP set to identify introgressed chromosomal regions in a set of high-yielding Japanese rice cultivars, and we performed an association study to identify genome regions associated with yield.ResultsAn informative set of 1152 SNPs was established by screening 14 high-yielding or primary ancestral cultivars for 5760 validated SNPs. Analysis of the population structure of high-yielding cultivars showed three genome types: japonica-type, indica-type and a mixture of the two. SNP allele frequencies showed several regions derived predominantly from one of the two parental genome types. Distinct regions skewed for the presence of parental alleles were observed on chromosomes 1, 2, 7, 8, 11 and 12 (indica) and on chromosomes 1, 2 and 6 (japonica). A possible relationship between these introgressed regions and six yield traits (blast susceptibility, heading date, length of unhusked seeds, number of panicles, surface area of unhusked seeds and 1000-grain weight) was detected in eight genome regions dominated by alleles of one parental origin. Two of these regions were near Ghd7, a heading date locus, and Pi-ta, a blast resistance locus. The allele types (i.e., japonica or indica) of significant SNPs coincided with those previously reported for candidate genes Ghd7 and Pi-ta.ConclusionsIntrogression breeding is an established strategy for the accumulation of QTLs and genes controlling high yield. Our custom SNP set is an effective tool for the identification of introgressed genome regions from a particular genetic background. This study demonstrates that changes in genome structure occurred during artificial selection for high yield, and provides information on several genomic regions associated with yield performance.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-15-346) contains supplementary material, which is available to authorized users.
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