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Associations between plant hosts and the pathogen X. fastidiosa
Xylella fastidiosa was the first bacterial plant pathogen to have its whole genome sequenced. Nonetheless, the scientific community remains uncertain about the mechanism by which this pathogen causes disease. The determinants of its host range are largely unknown. While as a species, X. fastidiosa can infect hundreds of plants, any individual strain’s potential hosts cannot be predicted. This dissertation is an interrogation of host specificity at three vastly different scales. The research is ordered from broad to narrow, beginning with a global analysis. I computationally modeled pathogen host range using 23 plant genera. Through this breadth, I was able to find correlations between hosts and genome content, as well as make estimates for likely ancestral hosts at internal phylogenetic nodes. My second chapter compares strains from Central America with strains introduced into the United States. I show that the introduced pathogen population is poor at infecting an ancestral host. I also found a suite of genes in the introduced population associated with the host jump. Finally, I dive into disease progression in one host species grown in Northern California, Vitis vinifera. Over the course of three years, I documented how disease development can vary among grapevine cultivars. This final chapter provides suggestions for disease management through more accurate detection of X. fastidiosa in an agricultural setting. The overarching goal of these works is to improve our understanding of the determinants of host specificity and disease progression of the economically and environmentally important pathogen species Xylella fastidiosa
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
Emerging plant disease epidemics: Biological research is key but not enough.
The effective management of plant diseases is of fundamental importance for food production, forestry, and other plant-derived products, as well as for the sustainability of natural environments. When considering the impact of a plant pathogen, the financial costs incurred by an outbreak usually receive the most focus, but there are other much less understood consequences for the affected society, culture, and environment due to disease. This poorly studied layer of complexity is particularly relevant for emerging outbreaks, of which often only limited knowledge is available to devise management strategies, but decisions and actions must be made quickly. The recent outbreak of a bacterial plant pathogen in Europe illustrates how understanding not only the biology of an emerging pathogen but also the cultural context is critical for effectively communicating and engaging with stakeholders and policy makers in order to implement successful disease control strategies
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Can Apulia's olive trees be saved?
An introduced plant pathogen proves difficult to contain in southern Ital
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