Scott Beatson

Dr. Scott Beatson


Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 January 2011 in Bioinformatics
Verified
Journal Article
Open access
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MSMitchell J. Sullivan
Mitchell J. Sullivan
NPNicola K. Petty
Nicola K. Petty
SBScott Beatson
Scott Beatson
Summary: Easyfig is a Python application for creating linear comparison figures of multiple genomic loci with an easy-to-use graphical user interface. BLAST comparisons between multiple genomic regions, ranging from single genes to whole prokaryote chromosomes, can be generated, visualized and interactively coloured, enabling a rapid transition between analysis and the preparation of publication quality figures. Availability: Easyfig is freely available (under a GPL license) for download (for Mac OS X, Unix and Microsoft Windows) from the SourceForge web site: http://easyfig.sourceforge.net/. Contact:s.beatson@uq.edu.au

8 August 2011 in BMC Genomics
Verified
Journal Article
Open access
PDF file
NANabil-Fareed Alikhan
Nabil-Fareed Alikhan
NPNicola K Petty
Nicola K Petty
NZNouri L Ben Zakour
Nouri L Ben Zakour
SBScott Beatson
Scott Beatson
Background: Visualisation of genome comparisons is invaluable for helping to determine genotypic differences between closely related prokaryotes. New visualisation and abstraction methods are required in order to improve the validation, interpretation and communication of genome sequence information; especially with the increasing amount of data arising from next-generation sequencing projects. Visualising a prokaryote genome as a circular image has become a powerful means of displaying informative comparisons of one genome to a number of others. Several programs, imaging libraries and internet resources already exist for this purpose, however, most are either limited in the number of comparisons they can show, are unable to adequately utilise draft genome sequence data, or require a knowledge of command-line scripting for implementation. Currently, there is no freely available desktop application that enables users to rapidly visualise comparisons between hundreds of draft or complete genomes in a single image. Results: BLAST Ring Image Generator (BRIG) can generate images that show multiple prokaryote genome comparisons, without an arbitrary limit on the number of genomes compared. The output image shows similarity between a central reference sequence and other sequences as a set of concentric rings, where BLAST matches are coloured on a sliding scale indicating a defined percentage identity. Images can also include draft genome assembly information to show read coverage, assembly breakpoints and collapsed repeats. In addition, BRIG supports the mapping of unassembled sequencing reads against one or more central reference sequences. Many types of custom data and annotations can be shown using BRIG, making it a versatile approach for visualising a range of genomic comparison data. BRIG is readily accessible to any user, as it assumes no specialist computational knowledge and will perform all required file parsing and BLAST comparisons automatically. Conclusions: There is a clear need for a user-friendly program that can produce genome comparisons for a large number of prokaryote genomes with an emphasis on rapidly utilising unfinished or unassembled genome data. Here we present BRIG, a cross-platform application that enables the interactive generation of comparative genomic images via a simple graphical-user interface. BRIG is freely available for all operating systems at http://sourceforge.net/projects/brig/.

17 June 2020 in Clinical Microbiology Reviews
Verified
Journal Article
Closed access
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DODavid M. P. De Oliveira
David M. P. De Oliveira
BFBrian M. Forde
Brian M. Forde
TKTimothy J. Kidd
Timothy J. Kidd
PHPatrick Harris
Patrick Harris
MSMark Schembri
Mark Schembri
Mark Joseph WalkerMark Joseph Walker
Mark Joseph Walker
Antimicrobial-resistant ESKAPE ( E nterococcus faecium , S taphylococcus aureus , K lebsiella pneumoniae , A cinetobacter baumannii , P seudomonas aeruginosa , and E nterobacter species) pathogens represent a global threat to human health. The acquisition of antimicrobial resistance genes by ESKAPE pathogens has reduced the treatment options for serious infections, increased the burden of disease, and increased death rates due to treatment failure and requires a coordinated global response for antimicrobial resistance surveillance.

11 September 2018 in JAMA
Verified
Journal Article
Open access
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PHPatrick Harris
Patrick Harris
PTPaul A. Tambyah
Paul A. Tambyah
DLDavid C. Lye
David C. Lye
YMYin Mo
Yin Mo
TLTau H. Lee
Tau H. Lee
F(for the MERINO Trial Investigators and the Australasian Society for Infectious Disease Clinical Research Network (ASID-CRN)
for the MERINO Trial Investigators and the Australasian Society for Infectious Disease Clinical Research Network (ASID-CRN)
Quiz Ref ID Gram-negative bacteria that produce extended-spectrum β-lactamase (ESBL) enzymes are a global public health concern.1 Based on national surveillance data from 2011, the US Centers for Disease Control and Prevention estimated that ESBL producers accounted for at least 26 000 infections and 1700 deaths annually.2 A key feature of ESBL-producing Enterobacteriaceae is phenotypic resistance to oxyiminocephalosporins, in addition to penicillins.3 ESBL producers are increasingly commonplace in both community and health care settings.4 Carbapenems have been regarded as the treatment of choice for serious infections caused by ESBL producers.3,5 However, increased use of carbapenems may select for carbapenem resistance in gram-negative bacilli,6,7 which currently represents the greatest threat in terms of antibiotic resistance.

31 March 2014 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
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NPNicola K. Petty
Nicola K. Petty
NZNouri L. Ben Zakour
Nouri L. Ben Zakour
MSMitchell Stanton-Cook
Mitchell Stanton-Cook
ESElizabeth Skippington
Elizabeth Skippington
MTMakrina Totsika
Makrina Totsika
SBScott Beatson
Scott Beatson
Significance: Escherichia coli sequence type 131 (ST131) is a globally disseminated multidrug-resistant clone associated with human urinary tract and bloodstream infections. Here, we have used genome sequencing to map the temporal and spatial relationship of a large collection of E. coli ST131 strains isolated from six distinct geographical regions across the world. We show that E. coli ST131 strains are distinct from other extraintestinal pathogenic E. coli and arose from a single progenitor strain prior to the year 2000.

3 October 2006 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
TTToru Tobe
Toru Tobe
SBScott Beatson
Scott Beatson
HTHisaaki Taniguchi
Hisaaki Taniguchi
HAHiroyuki Abe
Hiroyuki Abe
CBChristopher M. Bailey
Christopher M. Bailey
MPMark Pallen
Mark Pallen
Several pathogenic strains of Escherichia coli exploit type III secretion to inject “effector proteins” into human cells, which then subvert eukaryotic cell biology to the bacterium's advantage. We have exploited bioinformatics and experimental approaches to establish that the effector repertoire in the Sakai strain of enterohemorrhagic E. coli (EHEC) O157:H7 is much larger than previously thought. Homology searches led to the identification of >60 putative effector genes. Thirteen of these were judged to be likely pseudogenes, whereas 49 were judged to be potentially functional. In total, 39 proteins were confirmed experimentally as effectors: 31 through proteomics and 28 through translocation assays. At the protein level, the EHEC effector sequences fall into >20 families. The largest family, the NleG family, contains 14 members in the Sakai strain alone. EHEC also harbors functional homologs of effectors from plant pathogens (HopPtoH, HopW, AvrA) and from Shigella (OspD, OspE, OspG), and two additional members of the Map/IpgB family. Genes encoding proven or predicted effectors occur in >20 exchangeable effector loci scattered throughout the chromosome. Crucially, the majority of functional effector genes are encoded by nine exchangeable effector loci that lie within lambdoid prophages. Thus, type III secretion in E. coli is linked to a vast phage “metagenome,” acting as a crucible for the evolution of pathogenicity.