Biochemistry and Pharmacology - Research Publications
Permanent URI for this collection
Search Results
1 - 5 of 5
-
ItemBeginner's guide to comparative bacterial genome analysis using next-generation sequence data.(Springer Science and Business Media LLC, 2013-04-10)High throughput sequencing is now fast and cheap enough to be considered part of the toolbox for investigating bacteria, and there are thousands of bacterial genome sequences available for comparison in the public domain. Bacterial genome analysis is increasingly being performed by diverse groups in research, clinical and public health labs alike, who are interested in a wide array of topics related to bacterial genetics and evolution. Examples include outbreak analysis and the study of pathogenicity and antimicrobial resistance. In this beginner's guide, we aim to provide an entry point for individuals with a biology background who want to perform their own bioinformatics analysis of bacterial genome data, to enable them to answer their own research questions. We assume readers will be familiar with genetics and the basic nature of sequence data, but do not assume any computer programming skills. The main topics covered are assembly, ordering of contigs, annotation, genome comparison and extracting common typing information. Each section includes worked examples using publicly available E. coli data and free software tools, all which can be performed on a desktop computer.
-
ItemExtensive Capsule Locus Variation and Large-Scale Genomic Recombination within the Klebsiella pneumoniae Clonal Group 258(OXFORD UNIV PRESS, 2015-05)Klebsiella pneumoniae clonal group (CG) 258, comprising sequence types (STs) 258, 11, and closely related variants, is associated with dissemination of the K. pneumoniae carbapenemase (KPC). Hospital outbreaks of KPC CG258 infections have been observed globally and are very difficult to treat. As a consequence, there is renewed interest in alternative infection control measures such as vaccines and phage or depolymerase treatments targeting the K. pneumoniae polysaccharide capsule. To date, 78 immunologically distinct capsule variants have been described in K. pneumoniae. Previous investigations of ST258 and a small number of closely related strains suggested that capsular variation was limited within this clone; only two distinct ST258 capsule polysaccharide synthesis (cps) loci have been identified, both acquired through large-scale recombination events (>50 kb). In contrast to previous studies, we report a comparative genomic analysis of the broader K. pneumoniae CG258 (n = 39). We identified 11 different cps loci within CG258, indicating that capsular switching is actually common within the complex. We observed several insertion sequences (IS) within the cps loci, and show further intraclone diversification of two cps loci through IS activity. Our data also indicate that several large-scale recombination events have shaped the genomes of CG258, and that definition of the complex should be broadened to include ST395 (also reported to harbor KPC). As only the second report of extensive intraclonal cps variation among Gram-negative bacterial species, our findings alter our understanding of the evolution of these organisms and have key implications for the design of control measures targeting K. pneumoniae capsules.
-
ItemISMapper: identifying transposase insertion sites in bacterial genomes from short read sequence data(BIOMED CENTRAL LTD, 2015-09-03)BACKGROUND: Insertion sequences (IS) are small transposable elements, commonly found in bacterial genomes. Identifying the location of IS in bacterial genomes can be useful for a variety of purposes including epidemiological tracking and predicting antibiotic resistance. However IS are commonly present in multiple copies in a single genome, which complicates genome assembly and the identification of IS insertion sites. Here we present ISMapper, a mapping-based tool for identification of the site and orientation of IS insertions in bacterial genomes, directly from paired-end short read data. RESULTS: ISMapper was validated using three types of short read data: (i) simulated reads from a variety of species, (ii) Illumina reads from 5 isolates for which finished genome sequences were available for comparison, and (iii) Illumina reads from 7 Acinetobacter baumannii isolates for which predicted IS locations were tested using PCR. A total of 20 genomes, including 13 species and 32 distinct IS, were used for validation. ISMapper correctly identified 97 % of known IS insertions in the analysis of simulated reads, and 98 % in real Illumina reads. Subsampling of real Illumina reads to lower depths indicated ISMapper was able to correctly detect insertions for average genome-wide read depths >20x, although read depths >50x were required to obtain confident calls that were highly-supported by evidence from reads. All ISAba1 insertions identified by ISMapper in the A. baumannii genomes were confirmed by PCR. In each A. baumannii genome, ISMapper successfully identified an IS insertion upstream of the ampC beta-lactamase that could explain phenotypic resistance to third-generation cephalosporins. The utility of ISMapper was further demonstrated by profiling genome-wide IS6110 insertions in 138 publicly available Mycobacterium tuberculosis genomes, revealing lineage-specific insertions and multiple insertion hotspots. CONCLUSIONS: ISMapper provides a rapid and robust method for identifying IS insertion sites directly from short read data, with a high degree of accuracy demonstrated across a wide range of bacteria.
-
ItemA platform for leveraging next generation sequencing for routine microbiology and public health use(BIOMED CENTRAL LTD, 2015-12)Even with the advent of next-generation sequencing (NGS) technologies which have revolutionised the field of bacterial genomics in recent years, a major barrier still exists to the implementation of NGS for routine microbiological use (in public health and clinical microbiology laboratories). Such routine use would make a big difference to investigations of pathogen transmission and prevention/control of (sometimes lethal) infections. The inherent complexity and high frequency of data analyses on very large sets of bacterial DNA sequence data, the ability to ensure data provenance and automatically track and log all analyses for audit purposes, the need for quick and accurate results, together with an essential user-friendly interface for regular non-technical laboratory staff, are all critical requirements for routine use in a public health setting. There are currently no systems to answer positively to all these requirements, in an integrated manner. In this paper, we describe a system for sequence analysis and interpretation that is highly automated and tackles the issues raised earlier, and that is designed for use in diagnostic laboratories by healthcare workers with no specialist bioinformatics knowledge.
-
ItemEvidence of microevolution of Salmonella Typhimurium during a series of egg-associated outbreaks linked to a single chicken farm(BMC, 2013-11-19)BACKGROUND: The bacterium Salmonella enterica serovar Typhimurium (S. Typhimurium) is one of the most frequent causes of foodborne outbreaks of gastroenteritis. Between 2005-2008 a series of S. Typhimurium outbreaks occurred in Tasmania, Australia, that were all traced to eggs originating from a single chicken farm. We sequenced the genomes of 12 isolates linked to these outbreaks, in order to investigate the microevolution of a pathogenic S. Typhimurium clone in a natural, spatiotemporally restricted population. RESULTS: The isolates, which shared a phage type similar to DT135 known locally as 135@ or 135a, formed a clade within the S. Typhimurium population with close similarity to the reference genome SL1334 (160 single nucleotide polymorphisms, or SNPs). Ten of the isolates belonged to a single clone (<23 SNPs between isolate pairs) which likely represents the population of S. Typhimurium circulating at the chicken farm; the other two were from sporadic cases and were genetically distinct from this clone. Divergence dating indicated that all 12 isolates diverged from a common ancestor in the mid 1990 s, and the clone began to diversify in 2003-2004. This clone spilled out into the human population several times between 2005-2008, during which time it continued to accumulate SNPs at a constant rate of 3-5 SNPs per year or 1x10-6 substitutions site-1 year-1, faster than the longer-term (~50 year) rates estimated previously for S. Typhimurium. Our data suggest that roughly half of non-synonymous substitutions are rapidly removed from the S. Typhimurium population, after which purifying selection is no longer important and the remaining substitutions become fixed in the population. The S. Typhimurium 135@ isolates were nearly identical to SL1344 in terms of gene content and virulence plasmids. Their phage contents were close to SL1344, except that they carried a different variant of Gifsy-1, lacked the P2 remnant found in SL1344 and carried a novel P2 phage, P2-Hawk, in place SL1344's P2 phage SopEϕ. DT135 lacks P2 prophage. Two additional plasmids were identified in the S. Typhimurium 135@ isolates, pSTM2 and pSTM7. Both plasmids were IncI1, but phylogenetic analysis of the plasmids and their bacterial hosts shows these plasmids are genetically distinct and result from independent plasmid acquisition events. CONCLUSIONS: This study provides a high-resolution insight into short-term microevolution of the important human pathogen S. Typhimurium. It indicates that purifying selection occurs rapidly in this population (≤ 6 years) and then declines, and provides an estimate for the short-term substitution rate. The latter is likely to be more relevant for foodborne outbreak investigation than previous estimates based on longer time scales.