1,720,959 research outputs found
Structural characterization of HSP101 genes and of their promoter in durum wheat
In agriculture, heat stress is one of the most important constraints on crop yield.
Many efforts have been made to understand the molecular and physiological mechanisms
involved in the thermotolerance process in order to find new traits to use in breeding programs.
Heat shock proteins, mainly chaperones or proteases, play the essential role of preventing or
minimizing the deleterious effects of heat at the cellular and molecular levels.
Clear evidence of the protective role of HSP101 and its involvement in thermotolerance was
previously demonstrated in yeast and Arabidopsis.
In many plant species many cDNA sequences have been isolated suggesting that HSP101 is a
member of a small gene family strongly induced by heat.
So far in durum wheat two isoforms of HSP101(TdHSP101-B and C) with two forms for each
genome, have been isolated and characterized at cDNA level (Gulli et al 2007).
The oncoming rising of the temperature worldwide claimed for new traits to introduce in
breeding programs therefore the complete coding sequence of candidate genes for heat resilience is
necessary for functional genetics studies.
In the present work the isolation and the structural characterization of the complete coding
sequence and of the promoter region of TdHSP101-B and C isoforms will be presented
Gel-based and gel-free analytical methods for the detection of HMW-GS and LMW-GS in wheat flour
Durum wheat (Triticum turgidum L.) flour is instrumental for the production of pasta worldwide. The quality of this food rests on flour processing and on its protein content and composition. Gluten proteins as high and low-molecular weight glutenins (GS) are important to predict the flour technological property in pasta making. Different methods were compared to separate, identify and quantify GS in flours from two wheat cultivars. Sodium dodecyl sulphate-polyacrilamide gel electrophoresis (SDS-PAGE) gave in a fast way information about the GS assets. Two-dimensional gel electrophoresis (2D-GE) allowed for the highest resolution in detecting and quantifying single GS, subsequently identified by liquid chromatography-electrospray ionization mass spectrometry (LC-ESI-MS/MS). Reversed-phase high-performance liquid chromatography (RP-HPLC) is a non-gel alternative system for separation and quantification of single GS that when combined with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/MS) gave information about their exact masses. This method gives also quantitative indications of each individual GS. Different GS patterns and contents were detected in the flour of the two cultivars, underlining the importance of these analytical methods before determining the best flour processing procedure in pasta making. The different methods were evaluated with a modular approach consisting of a grid of different parameters and a non-linear score within each module
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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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