1,720,954 research outputs found
Characterisation of epigenomic variation in natural isolates of E. coli : a thesis submitted in partial fulfilment of the requirements for the degree of Ph.D in Genetics, Massey University, College of Science, School of Natural Sciences, Auckland
DNA methylation is ubiquitous in bacteria and has a range of roles including self versus non-self recognition, DNA repair, and regulation of gene expression in response to internal and external cues. Regulation of gene expression by DNA methylation can lead to the establishment of phenotypic variation in otherwise isogenic populations. Until recently methods for the genome-wide study of DNA methylation in bacteria have been limited and therefore the full extent of DNA methylation's role in bacterial genomes is not well understood.
In this thesis I use Oxford Nanopore Technologies sequencing to investigate the presence and activity of DNA methyltransferase in natural isolates of E. coli. The first aim of this thesis is to produce high quality genome assemblies that can be used to determine methylation patterns. To achieve this, in Chapter 2 I first use in silico methods to quantify the effects of different read length characteristics on assembly quality. I then optimise DNA isolation and library prep methods to obtain high quality DNA.
In Chapter 3 I apply the results of Chapter 2 to sequence 49 natural isolates of E. coli from across the E. coli clade. I next benchmark five genome assembly methods for assembly accuracy. I base accuracy on five metrics designed to measure both the overall structural accuracy and the sequence accuracy of each assembly. The large number of isolates (49) used in this study, allows identification of the strengths associated with each assembly method. These results quantitatively describe best practices for bacterial genome assembly and highlight the current variability in genome assembly accuracy and therefore the importance of tailoring assembly methods to the study objectives.
Finally, in chapter 4 I use the data produced in Chapter 3 to investigate DNA methylation in three E. coli natural isolates. After in silico identification of all the methyltransferases in each genome, I show that the activity of all predicted methyltransferases can be detected, as well as the activity of unexpected putative methyltransferases which are present in our isolates. Finally, I show that the genome wide DNA methylation patterns show consistent differences across growth conditions. These results suggest that E. coli exhibits transient DNA methylation patterns depending on growth environment and state.
Overall this thesis establishes methods for assessing genome assemblies and broadens our understanding of genome wide DNA methylation patterns and the dynamics of these patterns in E. coli. Additionally this work provides insight into the possibility of transient epigenetic differentiation in E. coli which is reflected in the DNA methylation patterns across the genome
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
Hybrid assembly comparison ONT reads
Oxford Nanopore (ONT) reads for 49 natural isolates of E.coli used in the Hybrid genome assembly comparison study, first isolated by Ishii et al.
Ishii, S., W.B. Ksoll, R.E. Hicks, and M.J. Sadowsky. 2006. Presence and Growth of Naturalized Escherichia Coli in Temperate Soils from Lake Superior Watersheds. Applied and Environmental Microbiology 72, no. 1: 612–62
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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