Biology subjects

Beatson, S.

Publications and source records attributed to Beatson, S..

5 recordsLinked to original sources

bioRxiv2022

Systematic benchmarking of all-in-one microbial SNP calling pipelines

Clinical and public health microbiology is increasingly utilising whole genome sequencing (WGS) technology and this has lead to the development of a myriad of analysis tools and bioinformatics pipelines. Single nucleotide polymorphism (SNP) analysis is an approach used for strain characterisation and determining isolate relatedness. However, in order to ensure the development of robust methodologies suitable for clinical application of this technology, accurate, reproducible, traceable and benchmarked analysis pipelines are necessary. To date, the approach to benchmarking of these has been largely ad-hoc with new pipelines benchmarked on their own datasets with limited comparisons to previously published pipelines. In this study, Snpdragon, a fast and accurate SNP calling pipeline is introduced. Written in Nextflow, Snpdragon is capable of handling small to very large and incrementally growing datasets. Snpdragon is benchmarked using previously published datasets against six other all-in-one microbial SNP calling pipelines, Lyveset, Lyveset2, Snippy, SPANDx, BactSNP and Nesoni. The effect of dataset choice on performance measures is demonstrated to highlight some of the issues associated with the current available benchmarking approaches. The establishment of an agreed upon gold-standard benchmarking process for microbial variant analysis is becoming increasingly important to aid in its robust application, improve transparency of pipeline performance under different settings and direct future improvements and development. Snpdragon is available at https://github.com/FordeGenomics/SNPdragon. Impact statementWhole-genome sequencing has become increasingly popular in infectious disease diagnostics and surveillance. The resolution provided by single nucleotide polymorphism (SNP) analyses provides the highest level of insight into strain characteristics and relatedness. Numerous approaches to SNP analysis have been developed but with no established gold-standard benchmarking approach, choice of bioinformatics pipeline tends to come down to laboratory or researcher preference. To support the clinical application of this technology, accurate, transparent, auditable, reproducible and benchmarked pipelines are necessary. Therefore, Snpdragon has been developed in Nextflow to allow transparency, auditability and reproducibility and has been benchmarked against six other all-in-one pipelines using a number of previously published benchmarking datasets. The variability of performance measures across different datasets is shown and illustrates the need for a robust, fair and uniform approach to benchmarking. Data SummaryO_LIPreviously sequenced reads for Escherichia coli O25b:H4-ST131 strain EC958 are available in BioProject PRJNA362676. BioSample accession numbers for the three benchmarking isolates are: O_LIEC958: SAMN06245884 C_LIO_LIMS6573: SAMN06245879 C_LIO_LIMS6574: SAMN06245880 C_LI C_LIO_LIAccession numbers for reference genomes against the E. coli O25b:H4-ST131 strain EC958 benchmark are detailed in table 2. C_LIO_LISimulated benchmarking data previously described by Yoshimura et al. is available at http://platanus.bio.titech.ac.jp/bactsnp (1). C_LIO_LISimulated datasets previously described by Bush et al. is available at http://dx.doi.org/10.5287/bodleian:AmNXrjYN8 (2). C_LIO_LIReal sequencing benchmarking datasets previously described by Bush et al. are available at http://dx.doi.org/10.5287/bodleian:nrmv8k5r8 (2). C_LI O_TBL View this table: org.highwire.dtl.DTLVardef@f2446corg.highwire.dtl.DTLVardef@16a299corg.highwire.dtl.DTLVardef@d1c7a5org.highwire.dtl.DTLVardef@8a3cbaorg.highwire.dtl.DTLVardef@198f455_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2.C_FLOATNO O_TABLECAPTIONReference genomes used in the EC958 benchmarking dataset and the percent identity against the three included samples. C_TABLECAPTION C_TBL

bioinformatics↗

bioRxiv2017

Dominance of ST131 Escherichia coli carrying blaCTX-M in patients with bloodstream infections caused by cephalosporin-resistant strains in Australia, New Zealand and Singapore: whole genome analysis of isolates from a randomised trial

Synopsis/AbstractO_ST_ABSObjectivesC_ST_ABSTo characterise multi-drug resistant Escherichia coli isolated from patients in Australia, New Zealand and Singapore with bloodstream infection (BSI).\n\nMethodsWe prospectively collected third-generation cephalosporin resistant (3GC-R) E. coli from blood cultures obtained from patients enrolled in a randomised controlled trial. Whole genome sequencing was used to characterise antibiotic resistance genes, sequence types (STs), plasmids and phylogenetic relationships. Antibiotic susceptibility was determined using disk diffusion and Etest.\n\nResultsA total of 70 E. coli were included, of which the majority were ST131 (61.4%). BSI was most frequently from a urinary source (69.6%), community-associated (62.9%) and in older patients (median age 71 years [IQR 64-81]). The median Pitt bacteraemia score at presentation was 1 (IQR 0-2, range 0-3) and ICU admission was infrequent (3.1%). ST131 possessed significantly more acquired resistance genes than non-ST131 (p=0.003). Clade C1/C2 ST131 predominated (30.2% and 53.5% of all ST131 respectively) and these were all resistant to ciprofloxacin. All clade A ST131 were community-associated. The predominant ESBL types were blaCTX-M (78.6% of isolates) and were strongly associated with ST131, with the majority blaCTX-M-15. Clade C1 was associated with blaCTX-M-14 and blaCTX-M-27, whereas blaCTX-M-15 predominated in clade C2. Plasmid-mediated AmpC (p-AmpC) genes (mainly blaCMY-2) were also frequent (17.1%) but were more common with non-ST131 strains (p< 0.001). The majority of plasmid replicon types were IncF.\n\nConclusionsIn a prospective collection of 3GC-R E. coli causing BSI in the Australasian region, community-associated Clade C1/C2 ST131 predominate in association with blaCTX-M ESBLs, although a significant proportion of non-ST131 strains carried blaCMY-2.

microbiology↗

bioRxiv2017

Use of whole genome sequencing to investigate an outbreak of gonorrhoea among females in urban New South Wales, Australia, 2012 to 2014.

Increasing rates of gonorrhoea have been observed among urban heterosexuals within the Australian state of New South Wales (NSW). Here, we applied whole genome sequencing (WGS) to better understand transmission dynamics. Ninety-four isolates of a particular N. gonorrhoeae genotype (G122) associated with female patients (years 2012 to 2014) underwent phylogenetic analysis using core single nucleotide polymorphisms (SNPs). Context for genetic variation was provided by including an unbiased selection of 1,870 N. gonorrhoeae genomes from a recent United Kingdom (UK) study. NSW genomes formed a single clade, with the majority of isolates belonging to one of five clusters, and comprised patients of varying age groups. Intra-patient variability was less than 7 core SNPs. Several patients had indistinguishable core SNPs, suggesting a common infection source. These data have provided an enhanced understanding of transmission of N. gonorrhoeae among urban heterosexuals in NSW, Australia, and highlight the value of using WGS in N. gonorrhoeae outbreak investigations.

epidemiology↗

bioRxiv2017

SMRT sequencing reveals differential patterns of methylation in two O111:H- Shiga toxigenic Escherichia coli isolates from a historic hemolytic uremic syndrome outbreak in Australia

Shiga toxigenic Escherichia coli (STEC) are important food-borne pathogens and a major cause of haemorrhagic colitis and haemolytic-uremic syndrome (HUS) worldwide. In 1995 a severe HUS outbreak in Adelaide occurred. A recent genomic analysis of STEC O111:H-strains 95JB1 and 95NR1 from this outbreak found that the more virulent isolate, 95NR1, harboured two additional copies of the Shiga toxin 2 (Stx2) genes although the structure of the Stx2-converting prophages could not be fully resolved due to the fragmented assembly. In this study we have used Pacific Biosciences (PacBio) single molecule real-time (SMRT) long read sequencing to characterise the complete epigenome (genome and methylome) of 95JB1 and 95NR1. Using long reads we completely resolved the structure of two, tandemly inserted, stx2-converting phage in 95NR1. Our analysis of the methylome of 95NR1 and 95JB1 identified hemi-methylation of a novel motif (5-CTGCm6AG-3) in more than 4000 sites in the 95NR1 genome. These sites were entirely unmethalyted in the 95JB1, including at least 180 potential promoter regions that could explain regulatory differences between the strains. We identified a Type IIG methyltransferase encoded in both genomes in association with three additional genes in an operon-like arrangement. IS1203 mediated disruption of this operon in 95JB1 is the likely cause of the observed differential patterns of methylation between 95NR1 and 95JB1. This study demonstrates the enormous potential of PacBio SMRT sequencing to resolve complex prophage regions and reveal the genetic and epigenetic heterogeneity within a clonal population of bacteria.

genomics↗

bioRxiv2017

Genomic investigation of an outbreak of carbapenemase-producing Enterobacter cloacae: long-read sequencing reveals the context of blaIMP4 on a widely distributed IncHI2 plasmid

Carbapenem-resistant Enterobacteriaceae (CRE) represent one of the most urgent threats to human health posed by antibiotic resistant bacteria. Enterobacter hormaechei and other members of the Enterobacter cloacae complex are the most commonly encountered Enterobacter spp. within clinical settings, responsible for numerous outbreaks and ultimately poorer patient outcomes. Here we applied three complementary whole genome sequencing (WGS) technologies to characterise a hospital cluster of blaIMP-4 carbapenemase-producing E. hormaechei.\n\nIn response to a suspected CRE outbreak in 2015 within an Intensive Care Unit (ICU)/Burns Unit in a Brisbane tertiary referral hospital we used Illumina sequencing to determine that all outbreak isolates were sequence type (ST)90 and near-identical at the core genome level. Comparison to publicly available data unequivocally linked all 10 isolates to a 2013 isolate from the same ward, confirming the hospital environment as the most likely original source of infection in the 2015 cases. No clonal relationship was found to IMP-4-producing isolates identified from other local hospitals. However, using Pacific Biosciences long-read sequencing we were able to resolve the complete context of the blaIMP-4 gene, which was found to be on a large IncHI2 plasmid carried by all IMP-4-producing isolates. Continued surveillance of the hospital environment was carried out using Oxford Nanopore long-read sequencing, which was able to rapidly resolve the true relationship of subsequent isolates to the initial outbreak. Shotgun metagenomic sequencing of environmental samples also found evidence of ST90 E. hormaechei and the IncHI2 plasmid within the hospital plumbing.\n\nOverall, our strategic application of three WGS technologies provided an in-depth analysis of the outbreak, including the transmission dynamics of a carbapenemase-producing E. hormaechei cluster, identification of possible hospital reservoirs and the full context of blaIMP-4 on a multidrug resistant IncHI2 plasmid that appears to be widely distributed in Australia.

genomics↗