1,721,246 research outputs found
Metabolite profiling of plant tissues by liquid chromatography Fourier transform ion cyclotron resonance mass spectrometry
Plants accumulate an overwhelming variety of secondary metabolites that play important roles in defense and interaction of the plant with its environment. To investigate the dynamics of plant secondary metabolism, large-scale untargeted metabolite profiling (metabolomics) is mandatory. Here, we describe a detailed protocol for untargeted metabolite profiling in which methanol extracts of jasmonate-treated plant tissues are analyzed by reversed-phase liquid chromatography coupled to negative-ion electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (MS). By means of dedicated integration and alignment software, the relative abundance of thousands of mass peaks, corresponding to hundreds of compounds, is calculated, and mass peaks of which the area is significantly changed by jasmonate treatment are identified. Subsequently, the metabolites corresponding to the significantly changed peaks are tentatively annotated using the accurate mass prediction of the Fourier transform-MS and the generated MS/MS data. Via this method, compounds of medium polarity, such as glucosinolates, alkaloids, phenylpropanoids, flavonoids, polyamines, and saponins, can be analyzed
Jasmonates : what ALLENE OXIDE SYNTHASE does for plants
Most of the great diversity of oxylipins in plants is produced by a group of specialized cytochrome P450 enzymes, among which is ALLENE OXIDE SYNTHASE (AOS). Many AOSs generate precursors of the defense hormone jasmonate. As a consequence, aos mutants fail to defend themselves against herbivores and do not display restriction of vegetative growth when wounded. These links between growth and defense that are controlled by AOS-derived oxylipins are ancient. Here, we focus on oxylipin-regulated coordination of growth/defense, how this optimizes defense, and how a plant's need for light can override jasmonate activity. AOS-derived oxylipins are candidate regulators throughout land plant evolution
Analysis of RNA-Seq data with TopHat and Cufflinks for genome-wide expression analysis of jasmonate-treated plants and plant cell cultures
The recent development of various deep sequencing techniques has led to the most powerful transcript profiling method available to date, RNA sequencing or RNA-Seq. Besides the identification of new genes and new splice variants of known genes, RNA-Seq allows to compare the whole transcriptome of any organism under two or more experimental conditions, such as before and after jasmonate treatment. However, the vast amounts of data generated during RNA-Seq experiments require complex computational methods for read mapping and expression quantification. Here, we describe a detailed protocol for the analysis of deep sequencing data, starting from the raw RNA-Seq reads. First, a quality check is performed on the raw reads to assess the quality of the sequencing. Subsequently, adapters and low-quality sequences are trimmed off the raw reads. The resulting processed reads are mapped to the reference genome, and the mapped reads are counted to generate expression data for the annotated genes for each sample. This method can be used for the analysis of RNA-Seq data of any organism for which a reference genome is available
Transient expression assays in tobacco protoplasts
The sequence information generated through genome and transcriptome analysis from plant tissues has reached unprecedented sizes. Sequence homology-based annotations may provide hints for the possible function and roles of particular plant genes, but the functional annotation remains nonexistent or incomplete for many of them. To discover gene functions, transient expression assays are a valuable tool because they can be done more rapidly and at a higher scale than generating stably transformed tissues. Here, we describe a transient expression assay in protoplasts derived from suspension cells of tobacco (Nicotiana tabacum) for the study of the transactivation capacities of transcription factors. To enhance throughput and reproducibility, this method can be automated, allowing medium-throughput screening of interactions between large compendia of potential transcription factors and gene promoters
Yeast two-hybrid analysis of jasmonate signaling proteins
Protein-protein interaction studies are crucial to unravel how jasmonate (JA) signals are transduced. Among the different techniques available, yeast two-hybrid (Y2H) is commonly used within the JA research community to identify proteins belonging to the core JA signaling module. The technique is based on the reconstitution of a transcriptional activator that drives the reporter gene expression upon protein-protein interactions. The method is sensitive and straightforward and can be adapted for different approaches. In this chapter, we provide a detailed protocol to perform targeted Y2H assays to test known proteins and/or protein domains for direct interaction in a pairwise manner and present the possibility to study ternary protein complexes through Y3H
cDNA-AFLP-based transcript profiling for genome-wide expression analysis of jasmonate-treated plants and plant cultures
cDNA-AFLP is a commonly used, robust, and reproducible tool for genome-wide expression analysis in any species, without requirement of prior sequence knowledge. Quantitative expression data are generated by gel-based visualization of cDNA-AFLP fingerprints obtained by selective PCR amplification of subsets of restriction fragments from a double-stranded cDNA template. Differences in gene expression levels across the samples are reflected in different band intensities on the high-resolution polyacrylamide gels. The differentially expressed genes can be identified by direct sequencing of re-amplified cDNA-AFLP tags purified from the gels. The cDNA-AFLP technique is especially useful for profiling of transcriptional responses of jasmonate-treated plants or plant (tissue) cultures and the discovery of jasmonate-responsive genes
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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