761,528 research outputs found

    Target identification strategies in plant chemical biology

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    The current needs to understand gene function in plant biology increasingly require more dynamic and conditional approaches opposed to classic genetic strategies. Gene redundancy and lethality can substantially complicate research, which might be solved by applying a chemical genetics approach. Now understood as the study of small molecules and their effect on biological systems with subsequent target identification, chemical genetics is a fast developing field with a strong history in pharmaceutical research and drug discovery. In plant biology however, chemical genetics is still largely in the starting blocks, with most studies relying on forward genetics and phenotypic analysis for target identification, whereas studies including direct target identification are limited. Here, we provide an overview of recent advances in chemical genetics in plant biology with a focus on target identification. Furthermore, we discuss different strategies for direct target identification and the possibilities and challenges for plant biology

    Nuclear protein phosphatases with Kelch-repeat domains modulate the response to brassinosteroids in Arabidopsis

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    Perception of the plant steroid hormone brassinolide (BL) by the membrane-associated receptor kinase BRI1 triggers the dephosphorylation and accumulation in the nucleus of the transcriptional modulators BES1 and BZR1. We identified bsu1-1D as a dominant suppressor of bri1 in A abidopsis. BSU1 encodes a nuclear-localized serine-threonine protein phosphatase with an N-terminal Kelch-repeat domain, and is preferentially expressed in elongating cells. BSU1 is able to modulate the phosphorylation state of BES1, counter acting the action of the glycogen synthase kinase-3 BIN2, and leading to inc eased steady-state levels of dephosphorylated BES1. BSU1 belongs to a small gene family; loss-of-function analyses unravel the extent of functional overlap among members of the family and confirm the role of these phosphatases in the control of cell elongation by BL. Our data indicate that BES1 is subject to antagonistic phosphorylation and dephosphorylation reactions in the nucleus, which fine-tune the amplitude of the response to BL.Fil: Mora Garcia, Santiago. Salk Institute. Plant Biology Laboratory; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina. Howard Hughes Medical Institute; Estados UnidosFil: Vert, Gregory. Howard Hughes Medical Institute; Estados Unidos. Salk Institute. Plant Biology Laboratory; Estados UnidosFil: Yin, Yanhai. Howard Hughes Medical Institute; Estados Unidos. Salk Institute. Plant Biology Laboratory; Estados UnidosFil: Caño Delgado, Ana. Howard Hughes Medical Institute; Estados Unidos. Salk Institute. Plant Biology Laboratory; Estados UnidosFil: Cheong, Hyeonsook. Howard Hughes Medical Institute; Estados Unidos. Salk Institute. Plant Biology Laboratory; Estados UnidosFil: Chory, Joanne. Howard Hughes Medical Institute; Estados Unidos. Salk Institute. Plant Biology Laboratory; Estados Unido

    BRL1 and BRL3 are novel brassinosteroid receptors that function in vascular differentiation in Arabidopsis

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    Plant steroid hormones, brassinosteroids (BRs), are perceived by the plasma membrane-localized leucine-rich-repeat-receptor kinase BRI1. Based on sequence similarity, we have identified three members of the BRI1 family, named BRL1, BRL2 and BRL3. BRL1 and BRL3, but not BRL2, encode functional BR receptors that bind brassinolide, the most active BR, with high affinity. In agreement, only BRL1 and BRL3 can rescue bri1 mutants when expressed under the control of the BRI1 promoter. While BRI1 is ubiquitously expressed in growing cells, the expression of BRL1 and BRL3 is restricted to non-overlapping subsets of vascular cells. Loss-of-function of brl1 causes abnormal phloem:xylem differentiation ratios and enhances the vascular defects of a weak bri1 mutant. bri1 brl1 brl3 triple mutants enhance bri1 dwarfism and also exhibit abnormal vascular differentiation. Thus, Arabidopsis contains a small number of BR receptors that have specific functions in cell growth and vascular differentiation.Fil: Caño Delgado, Ana. Salk Institute. Plant Biology Laboratory; Estados Unidos. Howard Hughes Medical Institute; Estados UnidosFil: Yin, Yanhai. Howard Hughes Medical Institute; Estados Unidos. Salk Institute. Plant Biology Laboratory; Estados UnidosFil: Yu, Cong. University of Michigan; Estados UnidosFil: Vafeados, Dionne. Howard Hughes Medical Institute; Estados Unidos. Salk Institute. Plant Biology Laboratory; Estados UnidosFil: Mora Garcia, Santiago. Howard Hughes Medical Institute; Estados Unidos. Salk Institute. Plant Biology Laboratory; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Cheng, Jin Chen. University of Michigan; Estados UnidosFil: Nam, Kyoung Hee. University of Michigan; Estados UnidosFil: Li, Jianming. University of Michigan; Estados UnidosFil: Chory, Joanne. Salk Institute. Plant Biology Laboratory; Estados Unidos. Howard Hughes Medical Institute; Estados Unido

    Gene flow risk assessment in centres of crop origin and diversity

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    Poster presented at Plant Biology & Botany Join Congress. Chicago (USA), 7-11 Jul 200

    Metabolomics : a tool for studying plant biology

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    In recent years new technologies have allowed gene expression, protein and metabolite profiles in different tissues and developmental stages to be monitored. This is an emerging field in plant science and is applied to diverse plant systems in order to elucidate the regulation of growth and development. The goal in plant metabolomics is to analyze, identify and quantify all low molecular weight molecules of plant organisms. The plant metabolites are extracted and analyzed using various sensitive analytical techniques, usually mass spectrometry (MS) in combination with chromatography. In order to compare the metabolome of different plants in a high through-put manner, a number of biological, analytical and data processing steps have to be performed. In the work underlying this thesis we developed a fast and robust method for routine analysis of plant metabolite patterns using Gas Chromatography-Mass Spectrometry (GC/MS). The method was performed according to Design of Experiment (DOE) to investigate factors affecting the extraction and derivatization of the metabolites from leaves of the plant Arabidopsis thaliana. The outcome of metabolic analysis by GC/MS is a complex mixture of approximately 400 overlapping peaks. Resolving (deconvoluting) overlapping peaks is time-consuming, difficult to automate and additional processing is needed in order to compare samples. To avoid deconvolution being a major bottleneck in high through-put analyses we developed a new semi-automated strategy using hierarchical methods for processing GC/MS data that can be applied to all samples simultaneously. The two methods include base-line correction of the non-processed MS-data files, alignment, time-window determinations, Alternating Regression and multivariate analysis in order to detect metabolites that differ in relative concentrations between samples. The developed methodology was applied to study the effects of the plant hormone GA on the metabolome, with specific emphasis on auxin levels in Arabidopsis thaliana mutants defective in GA biosynthesis and signalling. A large series of plant samples was analysed and the resulting data were processed in less than one week with minimal labour; similar to the time required for the GC/MS analyses of the samples

    DNA Topoisomerase 1α Promotes Transcriptional Silencing of Transposable Elements through DNA Methylation and Histone Lysine 9 Dimethylation in Arabidopsis

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    RNA-directed DNA methylation (RdDM) and histone H3K9 dimethylation (H3K9me2) are related transcriptional silencing mechanisms that target transposable elements (TEs) and repeats to maintain genome stability in plants. RdDM is mediated by small and long noncoding RNAs produced by the plant-specific RNA polymerases Pol IV and Pol V, respectively. Through a chemical genetics screen with a luciferase-based DNA methylation reporter, LUCL, we found that camptothecin, a compound with anti- cancer properties that targets DNA topoisomerase 1α (TOP1α) was able to de-repress LUCL by reducing its DNA methylation and H3K9me2 levels. Further studies with Arabidopsis top1α mutants showed that TOP1α silences endogenous RdDM loci by facilitating the production of Pol V-dependent long non-coding RNAs, AGONAUTE4 recruitment and H3K9me2 deposition at TEs and repeats. This study assigned a new role in epigenetic silencing to an enzyme that affects DNA topology.Fil: Dinh, Thanh Theresa. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados Unidos. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology. ChemGen IGERT program; Estados UnidosFil: Gao, Lei. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados UnidosFil: Liu, Xigang . University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados UnidosFil: Li, Dongming. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados Unidos. Lanzhou University. School of Life Sciences Plant Biology Laboratory; ChinaFil: Li, Shengben. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados UnidosFil: Zhao, Yuanyuan. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados UnidosFil: O'leary, Michael. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados UnidosFil: Le, Brandon. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados UnidosFil: Schmitz, Robert J.. The Salk Institute for Biological Studies. Plant Biology Laboratory; Estados UnidosFil: Manavella, Pablo Andrés. Max Planck Institute for Developmental Biology. Department of Molecular Biology; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Agrobiotecnologia del Litoral; ArgentinaFil: Li, Shaofang. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados UnidosFil: Weigel, Detlef. Max Planck Institute for Developmental Biology. Department of Molecular Biology; AlemaniaFil: Pontes, Olga. University of New Mexico. Department of Biology; Estados UnidosFil: Ecker, Joseph R.. The Salk Institute for Biological Studies. Howard Hughes Medical Institute; Estados Unidos. The Salk Institute for Biological Studies. Plant Biology Laboratory; Estados UnidosFil: Chen, Xuemei. University of California Riverside. Center for Plant Cell Biology, Institute of Integrative Genome Biology, Department of Botany and Plant Sciences; Estados Unidos. University of California Riverside. Howard Hughes Medical Institute, ; Estados Unido

    The potential of text mining in data integration and network biology for plant research : a case study on Arabidopsis

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    Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of texts. However, only recently has advanced text mining methodology been implemented with sufficient computational power to process texts at a large scale. In this study, we assess the potential of large-scale text mining for plant biology research in general and for network biology in particular using a state-of-the-art text mining system applied to all PubMed abstracts and PubMed Central full texts. We present extensive evaluation of the textual data for Arabidopsis thaliana, assessing the overall accuracy of this new resource for usage in plant network analyses. Furthermore, we combine text mining information with both protein-protein and regulatory interactions from experimental databases. Clusters of tightly connected genes are delineated from the resulting network, illustrating how such an integrative approach is essential to grasp the current knowledge available for Arabidopsis and to uncover gene information through guilt by association. All large-scale data sets, as well as the manually curated textual data, are made publicly available, hereby stimulating the application of text mining data in future plant biology studies

    Natural history of Arabidopsis thaliana and oomycete symbioses

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    Molecular ecology of plant–microbe interactions has immediate significance for filling a gap in knowledge between the laboratory discipline of molecular biology and the largely theoretical discipline of evolutionary ecology. Somewhere in between lies conservation biology, aimed at protection of habitats and the diversity of species housed within them. A seemingly insignificant wildflower called Arabidopsis thaliana has an important contribution to make in this endeavour. It has already transformed botanical research with deepening understanding of molecular processes within the species and across the Plant Kingdom; and has begun to revolutionize plant breeding by providing an invaluable catalogue of gene sequences that can be used to design the most precise molecular markers attainable for marker-assisted selection of valued traits. This review describes how A. thaliana and two of its natural biotrophic parasites could be seminal as a model for exploring the biogeography and molecular ecology of plant–microbe interactions, and specifically, for testing hypotheses proposed from the geographic mosaic theory of co-evolution

    Proceedings of the COST SUSVAR/ECO-PB Workshop on organic plant breeding strategies and the use of molecular markers

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    In many countries,national projects are in progress to investigate the sustainable low-input approach.In the present COST network,these projects are coordinated by means of exchange of materials,establishing common methods for assessment and statistical analyses and by combining national experimental results.The common framework is cereal production in low-input sustainable systems with emphasis on crop diversity.The network is organised into six Working Groups,five focusing on specific research areas and one focusing on the practical application of the research results for variety testing:1)plant genetics and plant breeding,2)biostatistics,3)plant nutrition and soil microbiology,4)weed biology and plant competition,5)plant pathology and plant disease resistance biology and 6)variety testing and certification.It is essential that scientists from many disciplines work together to investigate the complex interactions between the crop and its environment,in order to be able to exploit the natural regulatory mechanisms of different agricultural systems for stabilising and increasing yield and quality.The results of this cooperation will contribute to commercial plant breeding as well as official variety testing,when participants from these areas disperse the knowledge achieved through the EU COST Action
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