The growing world population and shrinkage of arable land demand yield improvement of rice, one of the most important staple crops. To elucidate the genetic basis of yield and uncover its associated loci in rice, we resequenced the core recombinant inbred lines of Liang-YouPei-Jiu, the widely cultivated super hybrid rice, and constructed a high-resolution linkage map. We detected 43 yield-associated quantitative trait loci, of which 20 are unique. Based on the high-density physical map, the genome sequences of paternal variety 93-11 and maternal cultivar PA64s of Liang-You-Pei-Jiu were significantly improved. The large recombinant inbred line population combined with plentiful high-quality single nucleotide polymorphisms and insertions/deletions between parental genomes allowed us to fine-map two quantitative trait loci, qSN8 and qSPB1, and to identify days to heading8 and lax panicle1 as candidate genes, respectively. The quantitative trait locus qSN8 was further confirmed to be days to heading8 by a complementation test. Our study provided an ideal platform for molecular breeding by targeting and dissecting yieldassociated loci in rice.Oryza sativa | QTL dissection | genome sequence update R ice is one of the most important staple crops in the world and serves as a model for monocots (1). Currently, rice breeding faces the challenge of overcoming the yield plateau. All important agronomic traits would ultimately need to consider their impacts on the yield, which is linked to various growth and developmental components, such as tiller number, seed number and set, and grain weight, to name a few. A number of quantitative trait loci (QTLs) have been reported to control these components, including those revealed by map-based cloning studies, such as IPA1/WFP for tiller and spikelet numbers (2, 3); days to heading8 (DTH8)/Ghd8 and Ghd7 for heading date, plant height, and spikelet number (4, 5); Gn1 for spikelet number (6); GIF1 for seed set (7); and grain size3 (GS3) and GW5 for grain size and weight (8, 9). Although a series of QTLs for yield components have been cloned, elucidation of the genetic mechanisms underlying the inheritance of superior yield in super hybrid rice still has a long way to go.Hybrid rice has a notable contribution to yield improvement. Various commercialized hybrids are derived by crossing different varieties within or between two subspecies, Oryza sativa ssp. indica and ssp. japonica (10, 11). As a pioneer super hybrid rice, Liang-You-Pei-Jiu (LYP9) realized the target of 10.5 tons/ha in 2000 (12). LYP9 was developed by a cross of the paternal 93-11, an indica variety widely grown in China (13), and the maternal PA64s cultivar with a mixed genetic background of indica and javanica. To date, it has been widely cultivated for commercial production in China. Such a feature was thought to make LYP9 recombinant inbred lines (RILs) ideal materials for exploring molecular mechanisms underlying rice yield.Here, we constructed a high-density linkage map by resequencing the parents of LYP9 and 132 c...

Background: Stripe rust is a serious fungal disease of wheat (Triticum aestivum L.) caused by Puccinia striiformis f. sp. tritici (Pst), which results in yield reduction and decreased grain quality. Breeding for genetic resistance to stripe rust is the most cost-effective method to control the disease. In the present study, a genome-wide association study (GWAS) was conducted to identify markers linked to stripe rust resistance genes (or loci) in 93 Northern Chinese wheat landraces, using Diversity Arrays Technology (DArT) and simple sequence repeat (SSR) molecular marker technology based on phenotypic data from two field locations over two growing seasons in China. Results: Seventeen accessions were verified to display stable and high levels of adult plant resistance (APR) to stripe rust via multi-environment field assessments. Significant correlations among environments and high heritability were observed for stripe rust infection type (IT) and disease severity (DS). Using mixed linear models (MLM) for the GWAS, a total of 32 significantly associated loci (P < 0.001) were detected. In combination with the linkage disequilibrium (LD) decay distance (6.4 cM), 25 quantitative trait loci (QTL) were identified. Based on the integrated map of previously reported genes and QTL, six QTL located on chromosomes 4A, 6A and 7D were mapped far from resistance regions identified previously, and represent potentially novel stripe rust resistance loci at the adult plant stage. Conclusions: The present findings demonstrated that identification of genes or loci linked to significant markers in wheat by GWAS is feasible. Seventeen elite accessions conferred with stable and high resistance to stripe rust, and six putative newly detected APR loci were identified among the 93 Northern Chinese wheat landraces. The results illustrate the potential for acceleration of molecular breeding of wheat, and also provide novel sources of stripe rust resistance with potential utility in the breeding of improved wheat cultivars.

Maximum parsimony, maximum likelihood, and Bayesian analyses of nuclear ribosomal DNA internal transcribed spacer sequences were used to infer the phylogenetic affinities and historical biogeography of Angelica and its allies (Apiaceae tribe Selineae), with emphasis on those species of Angelica and Peucedanum endemic to the Hengduan Mountains of south-central China. Results of these analyses corroborate a monophyletic Angelica (Angelica sensu stricto) upon the inclusion of Coelopleurum, Czernaevia, and one of two examined species of Ostericum, but with the exclusion of several species previously attributable to Angelica. Angelica oncosepala and A. likiangensis arise within the genus Heracleum in tribe Tordylieae; the former is recognized under its original name, Heracleum oncosepalum. Angelica sinensis, A. tianmuensis and A. paeoniifolia arise within the Sinodielsia clade of previous circumscription, closely related to Levisticum officinale. Angelica anomala is a sister group to Ostericum grosseserratum in the previously delimited Acronema clade. Angelica apaensis and A. decursiva, taxa whose phylogenetic affinities have previously been controversial, are confirmed within Angelica. Northeast Asia (including Japan, northeast China, Korea and adjacent areas of Russia), Western Europe, and North America are inferred to be ancestral areas of Angelica based on optimal solutions of a dispersal-vicariance analysis, with the Hengduan Mountains likely providing a refugium for Angelica during the latter part of the Tertiary.

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