34 research outputs found

    Gramene database in 2010: updates and extensions

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    Now in its 10th year, the Gramene database (http://www.gramene.org) has grown from its primary focus on rice, the first fully-sequenced grass genome, to become a resource for major model and crop plants including Arabidopsis, Brachypodium, maize, sorghum, poplar and grape in addition to several species of rice. Gramene began with the addition of an Ensembl genome browser and has expanded in the last decade to become a robust resource for plant genomics hosting a wide array of data sets including quantitative trait loci (QTL), metabolic pathways, genetic diversity, genes, proteins, germplasm, literature, ontologies and a fully-structured markers and sequences database integrated with genome browsers and maps from various published studies (genetic, physical, bin, etc.). In addition, Gramene now hosts a variety of web services including a Distributed Annotation Server (DAS), BLAST and a public MySQL database. Twice a year, Gramene releases a major build of the database and makes interim releases to correct errors or to make important updates to software and/or data

    Genomic Prediction in Maize Breeding Populations with Genotyping-by-Sequencing

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    Genotyping-by-sequencing (GBS) technologies have proven capacity for delivering large numbers of marker genotypes with potentially less ascertainment bias than standard single nucleotide polymorphism (SNP) arrays. Therefore, GBS has become an attractive alternative technology for genomic selection. However, the use of GBS data poses important challenges, and the accuracy of genomic prediction using GBS is currently undergoing investigation in several crops, including maize, wheat, and cassava. The main objective of this study was to evaluate various methods for incorporating GBS information and compare them with pedigree models for predicting genetic values of lines from two maize populations evaluated for different traits measured in different environments (experiments 1 and 2). Given that GBS data come with a large percentage of uncalled genotypes, we evaluated methods using nonimputed, imputed, and GBS-inferred haplotypes of different lengths (short or long). GBS and pedigree data were incorporated into statistical models using either the genomic best linear unbiased predictors (GBLUP) or the reproducing kernel Hilbert spaces (RKHS) regressions, and prediction accuracy was quantified using cross-validation methods. The following results were found: relative to pedigree or marker-only models, there were consistent gains in prediction accuracy by combining pedigree and GBS data; there was increased predictive ability when using imputed or nonimputed GBS data over inferred haplotype in experiment 1, or nonimputed GBS and information-based imputed short and long haplotypes, as compared to the other methods in experiment 2; the level of prediction accuracy achieved using GBS data in experiment 2 is comparable to those reported by previous authors who analyzed this data set using SNP arrays; and GBLUP and RKHS models with pedigree with nonimputed and imputed GBS data provided the best prediction correlations for the three traits in experiment 1, whereas for experiment 2 RKHS provided slightly better prediction than GBLUP for drought-stressed environments, and both models provided similar predictions in well-watered environments

    A Novel, Low-Volume Method for Organ Culture of Embryonic Kidneys That Allows Development of Cortico-Medullary Anatomical Organization

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    Here, we present a novel method for culturing kidneys in low volumes of medium that offers more organotypic development compared to conventional methods. Organ culture is a powerful technique for studying renal development. It recapitulates many aspects of early development very well, but the established techniques have some disadvantages: in particular, they require relatively large volumes (1–3 mls) of culture medium, which can make high-throughput screens expensive, they require porous (filter) substrates which are difficult to modify chemically, and the organs produced do not achieve good cortico-medullary zonation. Here, we present a technique of growing kidney rudiments in very low volumes of medium–around 85 microliters–using silicone chambers. In this system, kidneys grow directly on glass, grow larger than in conventional culture and develop a clear anatomical cortico-medullary zonation with extended loops of Henle

    The larvæ of the British butterflies and moths /

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    Vols. 1-5 edited by H. Stainton; v. 6- by G. T. Porritt.1. The butterflies. 1886.--II. The sphinges or hawk-moths and part of the Bombyces. 1887.--III. The concluding portion of the Bombyces. 1889.--IV. The first portion of the Nocíuæ. 1891.--V. The second portion of the Nocíuæ. 1893.--VI. The third and concluding portion of the Noctíuæ. 1895.--VII. The first portion of the Geometræ. 1897.--VIII. The concluding portion of the Geometræ. 1899.--IX. The deltiodes, pyrales, crambites, tortrices, tineæ, and pterophori, concluding the work. 1901.Mode of access: Internet

    Phylogeny of Neolitsea (Lauraceae) inferred from Bayesian analysis of nrDNA ITS and ETS sequences

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    ITS and ETS-based sequence analyses of 29 Neolitsea, six Actinodaphne and five outgroup `core' Laureae taxa show that Neolitsea is monophyletic with two large subclades, whereas most of the sampled Actinodaphne are paraphyletic below it. Inflorescence features appear to be among the more reliable morphological characters for explaining relationships between Neolitsea and other genera within the `core' Laureae, with the Neolitsea/Actinodaphne clade defined by inflorescences lacking vegetative terminal buds in the main axis. Although the relationships within Neolitsea are still poorly resolved, there is enough structure to suggest that the genus seems to divide into two groups based on fruit shape: elliptic or ovoid, versus globose, although more evidence (both molecular and morphological) and wider taxon sampling are required to confirm this.L. Li, J. Li, J. G. Conran, X.-W. Li (H.-W. Li
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