Biology subjects

Sintchenko, V.

Publications and source records attributed to Sintchenko, V..

At least 19 recordsLinked to original sources

bioRxiv2026

Proteolytic control of the SARS-CoV-2 furin cleavage site defines the phenotypic evolution from the pandemic to endemic state

The successive emergence of SARS-CoV-2 variants with altered tissue tropism has progressively decoupled transmissibility from lower respiratory tract pathogenicity. Omicron lineages transmit exceptionally well whilst limiting severe lung disease. Here, we demonstrate that this phenotype has evolved through two temporally distinct tissue-specific proteolytic controls at the Spike (S) furin cleavage site (FCS). At the virion level, cell-type-dependent furin-mediated FCS hyper-cleavage depletes S in lung but not nasal epithelial cells. At the infected cell membrane during cell-cell spread, TMPRSS2 mediates S FCS cleavage but is negatively regulated in the presence of ACE2. Tissue-specific solute carriers SLC6A19 and SLC6A20 sequester ACE2, thereby relieving inhibition of TMPRSS2 and enabling S FCS cleavage during cell-cell spread. Critically, whilst all SARS-CoV-2 lineages benefit from this latter pathway, Omicron variants have evolved exclusive dependence on it, a strategic consolidation that focuses S proteolytic activation to TMPRSS2 alone. The combined outcomes of S protein regulation across viral and cell membranes reveal how tissue-specific proteolytic optimisation drives Omicron's transmission fitness advantage in the upper respiratory tract but at the cost of heavy attenuation in the lower respiratory tract.

microbiology↗

bioRxiv2026

A mobile ESX type VII secretion system enhances intracellular persistence in globally distributed Mycobacterium abscessus

Mycobacterium abscessus are non-tuberculous mycobacteria that are widespread in the environment and of increasing global clinical significance. Accumulating evidence shows that M. abscessus has emerged as an important pathogen, driven by highly drug-resistant lineages, enhanced transmissibility and the acquisition of specific virulence factors. In this study, we describe a previously uncharacterised ESX secretion system encoded on a 123-kbp plasmid identified in a clinical isolate of M. abscessus. This ESX system, termed ESX-pMA07, is distinct from ESX systems previously reported in M. abscessus in both sequence composition and locus organisation, characterised by a unique arrangement of core ESX components and low sequence identity to ESX-3, ESX-4 and plasmid-borne ESX-P systems. ESX-pMA07 was detected in geographically diverse clinical isolates but was restricted to particular genotypes within the global M. abscessus phylogeny. Transcriptional profiling revealed expression of ESX-pMA07 components in artificial cystic fibrosis media and during intracellular growth in macrophage cell lines. Using CRISPR interference, we show that inducible silencing of eccC, encoding the ATPase component of ESX-pMA07, significantly reduced intracellular survival of M. abscessus within macrophages. To our knowledge, this is the first characterisation of a functional, plasmid-borne ESX secretion system in M. abscessus, demonstrating that mobile genetic elements contribute to the pathogens intracellular persistence and may influence its evolving virulence. Author SummaryMycobacterium abscessus is a rapidly emerging, highly drug-resistant bacterium that causes chronic infections, particularly in people with underlying lung disease such as cystic fibrosis. The factors that enable certain M. abscessus strains to persist inside host cells are not fully understood. In this study, we identified a previously unrecognised type VII secretion system (ESX) encoded on a large plasmid in a clinical isolate of M. abscessus. This plasmid-borne ESX system, which we termed ESX-pMA07, is genetically distinct from the ESX systems normally found on the chromosome and was detected in geographically diverse clinical isolates, but restricted to specific lineages within the global M. abscessus population. We show that ESX-pMA07 genes are expressed under conditions relevant to lung infection and during intracellular growth in macrophages. Using inducible CRISPR interference to silence the ESX ATPase gene eccC, we demonstrate that ESX-pMA07 contributes to intracellular survival of M. abscessus in macrophages. These findings reveal that mobile genetic elements can encode functional secretion systems that enhance intracellular persistence, providing a mechanism for the emergence and spread of virulence traits in this important pathogen.

microbiology↗

bioRxiv2024

Global genomic dissection of antimicrobial resistance in Salmonella Typhimurium

Salmonella Typhimurium (STm) is a globally prevalent pathogen. We compiled a dataset comprising [~]65,000 publicly available STm isolates and analysed the predicted-resistance to 15 key antibiotics. Additionally, we typed all isolates using a standardized typing method, multilevel genome typing (MGT), and characterised the resistance profiles by MGT sequence types (ST). We identified 407 MGT STs wherein at least 80% of the isolates were non-susceptible to at least one antibiotic. For the key antibiotics prescribed for severe salmonellosis, we identified three ciprofloxacin non-susceptible MGT STs, and eight cefotaxime non-susceptible MGT STs in the last two years of the dataset (2021-2022). While the ciprofloxacin non-susceptible MGT STs comprised isolates predominantly from the UK; only one cefotaxime non-susceptible MGT ST comprised isolates predominantly from UK and associated with swine, with others from USA, and associated with cattle and poultry. Integration of AMR predictions with MGT strain typing provides sharable, standardised, and specific identification and tracking of resistant isolates. This integrated analysis presents a unique approach for the global surveillance of antimicrobial resistance and resistant strains.

microbiology↗

bioRxiv2024

STECode: an automated virulence barcode generator to aid clinical and public health risk assessment of Shiga toxin-producing Escherichia coli

Shiga Toxin (Stx) producing Escherichia coli (STEC) is a subset of pathogenic E. coli that can produce two types of Stx, Stx1 and Stx2, which can be further subtyped into four and 15 subtypes respectively. Not all subtypes, however, are equal in virulence potential, and the risk of severe disease including haemolytic uraemic syndrome has been linked to certain Stx2 subtypes e.g. Stx2a, Stx2d, highlighting the importance to survey stx subtypes. Previously, we developed a STEC virulence barcode to capture pertinent information on virulence genes to infer pathogenic potential. However, the process required multiple manual curation steps to determine the barcode. Here we introduce STECode, a bioinformatic tool to automate the STEC virulence barcode generation from sequencing reads or genomic assemblies. The development, and validation of STECode is described using a set of publicly available completed STEC genomes, along with their corresponding short reads. STECode was applied to interrogate the virulence landscape and molecular epidemiology of human STEC isolated during the period of the international border closures related to COVID-19 in the state of New South Wales, Australia. Impact statementWhole genome sequencing has been used to great effect in the genomic surveillance of STEC for public health purposes via the tracking of outbreaks. With STECode, we present a method to generate a STEC virulence barcode which captures pertinent subtyping information, useful for genomic inference of pathogenic potential. A key blind spot generated in short-read sequencing is the inability to detect the presence of multiple, isogenic stx copies in STEC. STECode mitigates this by inferring and reporting on the possibility of this occurrence. We envisage that this tool will value-add current genomic surveillance workflows through the ability to infer pathogenic potential.

microbiology↗

bioRxiv2023

Genomic evolution of SARS-CoV-2 variants of concern under in vitro neutralising selection pressure following two doses of the Pfizer-BioNTech BNT162b2 COVID-19 vaccine

AimsTo explore viral evolution during in vitro neutralisation using next generation sequencing, and to determine whether sera from individuals immunised with two doses of the Pfizer-BioNTech vaccine (BNT162b2) are as effective at neutralising the SARS-CoV-2 variant of concern (VOC) Delta (B 1.617.2) compared to the earlier lineages Beta (B.1.351) and wild-type (A.2.2) virus. MethodsUsing a live-virus SARS-CoV-2 neutralisation assay in Vero E6 cells we determined neutralising antibody titres (nAbT) in 14 participants (vaccine-naive (n=2) and post-second dose of BNT162b2 vaccination (n=12), median age 45 years [IQR 29-65], median time after second dose = 21 days [IQR 19-28] against three SARS-CoV-2 strains: wild-type, Beta and Delta. The determination of nAbT was performed by visual inspection of cytopathic effect (CPE) and in-house quantitative reverse transcriptase real time quantitative polymerase chain reaction (RT-qPCR) to confirm SARS-CoV-2 replication. A total of 110 representative samples including inoculum, neutralisation breakpoints at 72 hrs, negative and positive controls underwent genome sequencing using the Respiratory Viral Oligo Panel version 2 (RVOP) (Illumina Inc. (San Diego, United States of America)) viral enrichment and short read sequencing using (Illumina Inc.San Diego, United States of America)(Figure 1). O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=35 SRC="FIGDIR/small/558921v1_fig1.gif" ALT="Figure 1"> View larger version (11K): org.highwire.dtl.DTLVardef@1f04650org.highwire.dtl.DTLVardef@1986fceorg.highwire.dtl.DTLVardef@d47ab9org.highwire.dtl.DTLVardef@1c524d5_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO Outline of virus neutralisation assays of emerging SARS-CoV-2 variants of concern C_FIG ResultsThere was a significant reduction in nAbT observed against the Delta and Beta VOC compared with wild-type, 4.4-fold (p = >0.0006) and 2.3-fold (p = 0.0140), respectively (Figure 2). Neutralizing antibodies were not detected in one vaccinated immunosuppressed participant nor the vaccine-naive participants (n=2). The highest nAbT against the SARS-CoV-2 variants investigated was obtained from a participant who was vaccinated following SARS-CoV-2 infection 12 months prior (Table S1). Limited consensus level mutations occurred in the SARS-CoV-2 genome of any lineage during in vitro neutralisation, however, consistent minority allele frequency variants (MFV) were detected in the SARS-CoV-2 polypeptide, spike (S) and membrane protein. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=161 SRC="FIGDIR/small/558921v1_fig2.gif" ALT="Figure 2"> View larger version (18K): org.highwire.dtl.DTLVardef@1f51ee8org.highwire.dtl.DTLVardef@1c03b61org.highwire.dtl.DTLVardef@17a77d2org.highwire.dtl.DTLVardef@15084f4_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 2:C_FLOATNO Neutralising Antibody Titres Figure description: Differences in neutralising antibody titres (nAbT) against the Wildtype, Beta and Delta SARS-CoV-2 lineages median of 21 days (IQR 19-28) after receiving the second dose of Pfizer-BioNTech (BNT162b2) vaccine measured by visual inspection of cytopathic effect (CPE) with confirmation of viral replication by SARS-CoV-2 by inhouse reverse transcriptase real time quantitative polymerase chain reaction (RT-qPCR). Results are reported in the box-whiskers plots as medians and upper and lower quartiles. There was a significant fold reduction in nAbT observed between both the Delta (M = 4.4, SD = 2), t(11) =-4.9, p = .00059, and Beta (M=2.3, SD=2) t(11) =-3 p = .01397 compared with wild-type. There was also a significant fold reduction in nAbT between Beta (M = 2.6, SD = 1.4), t(11) =-2.5, p = .02897 and Delta. Key: Delta - Delta (B.1.617.2) lineage; Beta - Beta (B.1.351) lineage; Wildtype - Wildtype (A.2.2) lineage; C_FIG DiscussionSignificant reductions in nAbT post-vaccination were identified, with Delta demonstrating a 4.4-fold reduction. The reduction in nAbT for the VOC Beta has been previously documented, however, limited data is available on vaccine evasion for the Delta VOC, the predominant strain currently circulating worldwide at the time. Studies in high incidence countries may not be applicable to low incidence settings such as Australia as nAbT may be significantly higher in vaccine recipients previously infected with SARS-CoV-2, as seen in our cohort. Monitoring viral evolution is critical to evaluate the impact of novel SARS-CoV-2 variants on vaccine effectiveness as mutational profiles in the sub-consensus genome could indicate increases in transmissibility, virulence or allow the development of antiviral resistance.

microbiology↗

bioRxiv2023

A laboratory framework for ongoing optimisation of amplification based genomic surveillance programs

Constantly evolving viral populations affect the specificity of primers and quality of genomic surveillance. This study presents a framework for continuous optimisation of sequencing efficiency for public health surveillance based on the ongoing evolution of the COVID-19 pandemic. SARS-CoV-2 genomic clustering capacity based on three amplification based whole genome sequencing schemes was assessed using decreasing thresholds of genome coverage and measured against epidemiologically linked cases. Overall genome coverage depth and individual amplicon depth were used to calculate an amplification efficiency metric. Significant loss of genome coverage over time was documented which was recovered by optimisation of primer pooling or implementation of new primer sets. A minimum of 95% genome coverage was required to cluster 94% of epidemiologically defined SARS-CoV-2 transmission events. Clustering resolution fell to 70% when only 85% of genome coverage was achieved. The framework presented in this study can provide public health genomic surveillance programs a systematic process to ensure an agile and effective laboratory response during rapidly evolving viral outbreaks.

genomics↗

bioRxiv2023

Genomic epidemiology and multilevel genome typing of Bordetella pertussis

Bordetella pertussis is responsible for the respiratory infectious disease pertussis (or whooping cough), which causes one of the most severe diseases in infants, although it can be prevented by whole cell and acellular vaccines. The recent resurgence of pertussis is partially due to pathogen adaptation to vaccines as well as resistance to antimicrobials. Surveillance of current circulating and emerging strains is therefore vital to understand the risks they pose to public health. Although there is increased genomics based typing, a genomic nomenclature for this pathogen has not been well established. Here, we implemented the Multilevel Genome Typing (MGT) system for B. pertussis with five levels of resolution, which provide targeted typing of relevant lineages as well as discrimination of closely related strains at the finest scale. The low resolution levels can describe the distribution of alleles of major vaccine antigen genes such as ptxP, fim3, fhaB and prn as well as temporal and spatial trends within the B. pertussis global population. Mid-resolution levels enables typing of antibiotic resistant lineages and Prn deficient lineages within the ptxP3 clade. High resolution levels can capture small-scale epidemiology such as local transmission events and has comparable resolution to existing genomic methods of strain relatedness assessment. The scheme offers stable MGT type assignments aiding harmonisation of typing and communication between laboratories. The scheme is available at www.mgtdb.unsw.edu.au/pertussis/ is regularly updated from global data repositories and accepts public data submissions. The MGT scheme provides a comprehensive, robust, and scalable system for global surveillance of B. pertussis.

microbiology↗

bioRxiv2023

Genomic markers of drug resistance in Mycobacterium tuberculosis populations with minority variants

Minority variants of Mycobacterium tuberculosis harbouring mutations conferring resistance can become dominant populations during tuberculosis (TB) treatment, leading to treatment failure. Our understanding of drug resistant within-host sub-populations and the frequency of resistance conferring mutations in minority variants remains limited. M. tuberculosis sequences recovered from liquid cultures of culture-confirmed TB cases notified between January 2017 and December 2021 in New South Wales, Australia were examined. Potential drug resistance conferring minority variants were identified using LoFreq, and mixed populations of different M. tuberculosis strains ([≥]100 SNPs apart) were examined using QuantTB. A total of 1831 routinely sequenced M. tuberculosis strains were included in the analysis. Drug resistance conferring minority variants were detected in 3.5% (65/1831) of sequenced cultures; 84.6% (55/65) had majority strains that were drug susceptible and 15.4% (10/65) had majority strains that were drug resistant. Minority variants with high confidence drug resistance conferring mutations were 1.5 times more common when the majority strains were drug resistant. Mixed M. tuberculosis strain populations were documented in 10.0% (183/1831) of specimens. Minority variants with high confidence drug resistance conferring mutations were more frequently detected in mixed M. tuberculosis strain populations (2.7%, 5/183) than in single strain populations (0.6%, 10/1648; p=0.01). Drug resistant minority variants require careful monitoring in settings that implement routine M. tuberculosis sequencing. The frequency with which drug resistant minority variants are detected is influenced by selective culture methods and culture-independent sequencing should provide a more accurate picture.

microbiology↗

bioRxiv2022

Can genomics and meteorology predict outbreaks of legionellosis in urban settings?

Legionella pneumophila is ubiquitous and sporadically infects humans causing Legionnaires disease (LD). Globally, reported cases of LD has risen four-fold from 2000-2014. In 2016, Sydney, Australia was the epicentre of an outbreak caused by L. pneumophila serogroup 1 (Lpsg1). Whole genome sequencing was instrumental in identifying the causal clone which was found in multiple locations across the city. This study examined the epidemiology of Lpsg1 in an urban environment, assessed typing schemes to classify resident clones and investigated the association between local climate variables and LD outbreaks. Of 223 local Lpsg1 isolates, we identified dominant clones with one clone isolated from patients in high frequency during outbreak investigations. The cgMLST scheme was the most reliable in identifying this Lpsg1 clone. While an increase in humidity and rainfall was found to coincide with a rise in LD cases, the incidence of the major L. pneumophila outbreak clone did not link to weather phenomena. These findings demonstrated the role of high resolution typing and weather context assessment in determining source attribution for LD outbreaks in urban settings, particularly when clinical isolates remain scarce. ImportanceWe investigated the genomic and meteorological influences of infections caused by Legionella pneumophila in Sydney, Australia. Our study contributes to a knowledge gap of factors that drive outbreaks of legionellosis compared to sporadic infections in urban settings. In such cases, clinical isolates can be rare and other data is then relied upon to inform decision making around control measures. We found that cgMLST typing offered a robust and scalable approach for high-resolution investigation of Lpsg1 outbreaks. The genomic landscape of Lpsg1 in Sydney was dominated by a single clone which was responsible for multiple clusters of community cases over four decades. While legionellosis incidence peaked in Autumn, this was not linked to the dominant outbreak clone. The synthesis of meteorological data with Lpsg1 genomics can be a part of the risk assessment for legionellosis in urban settings and is relevant for other densely populated areas around the world.

microbiology↗

bioRxiv2022

MGTdb: A web service and database for studying the global and local genomic epidemiology of bacterial pathogens

Multilevel genome typing (MGT) enables the genomic characterization of bacterial isolates and the relationships among them. The MGT system describes an isolate using multiple multilocus sequence typing (MLST) schemes, referred to as levels. Thus, for a new isolate, sequence types (STs) assigned at multiple precisely defined levels can be used to type isolates at multiple resolutions. The MGT designation for isolates is stable, and assignment is faster than existing approaches. MGTs utility has been demonstrated in multiple species. This paper presents a publicly accessible web service called MGTdb, which enables the assignment of MGT sequence types to isolates, along with their storage, retrieval and analysis. The MGTdb web service enables upload of genome data as sequence reads or alleles, which are processed and assigned MGT identifiers. Additionally, any newly sequenced isolates deposited in NCBI Sequence Read Archive are also regularly retrieved (currently daily), processed, assigned MGT and made publicly available in MGTdb. Interactive visualisation tools are presented to assist analysis, along with capabilities to download publicly available isolates and assignments for use with external software. MGTdb is currently available for Salmonella enterica serovars Typhimurium and Enteritidis, and Vibrio cholerae. We demonstrate the usability of MGTdb through three case studies to study the long-term national surveillance of S. Typhimurium, and the local epidemiology and outbreaks of S. Typhimurium, and the global epidemiology of V. cholerae. Thus, MGTdb enables epidemiological and microbiological investigations at multiple levels of resolution for all publicly available isolates of these pathogens. Database URLhttps://mgtdb.unsw.edu.au

bioinformatics↗

bioRxiv2022

Genomic epidemiology and multilevel genome typing of Australian Salmonella enterica serovar Enteritidis

Salmonella enterica serovar Enteritidis is one of the leading causes of salmonellosis in Australia. However, the majority of S. Enteritidis cases in Australia are travel-related with a small proportion being locally acquired. This study aimed to characterise the genomic features of Australian S. Enteritidis and compare them with international strains using multilevel genome typing (MGT). A total of 568 S. Enteritidis isolates from two Australian states across two consecutive years were analysed using the S. Enteritidis MGT scheme and database (MGTdb) - which contained 40,390 publicly available genomes from 99 countries. The Australian S. Enteritidis strains were divided into three phylogenetic clades (A, B and C). Clades A and C represented 16.4% and 3.5% of the total isolates, respectively, and were of local origin. Clade B accounted for 80.1% of the isolates which belonged to seven previously defined lineages but was dominated by the global epidemic lineage (MGT4-CC1). At MGT5 level, three out of five top sequence types (STs) in Australia were also top STs in Asia, suggesting that a fair proportion of Australian S. Enteritidis cases may be epidemiologically linked with Asian strains. In 2018, a large egg-associated local outbreak was caused by a recently defined clade B lineage prevalent in Europe and was closely related, but not directly linked, to three isolates from Europe. Additionally, antimicrobial-resistance genes were only found in Australian clade B isolates, with a predicted multidrug resistance (MDR) rate of 11.7%. Over half (54.8%) of the MDR isolates belonged to 10 MDR-associated MGT-STs, which were also frequent in Asian S. Enteritidis. IncX1 plasmids were frequently present in the Australian MDR isolates. Overall, this study investigated the genomic epidemiology of S. Enteritidis in Australia, including the first large local outbreak, using MGT. The open MGT platform enables a standardised and sharable nomenclature that can be effectively applied to public health for unified surveillance of S. Enteritidis nationally and globally. ImportanceSalmonella enterica serovar Enteritidis is a leading cause of foodborne infections. We previously developed a genomic typing database - MGTdb for S. Enteritidis to facilitate global surveillance of this pathogen. In this study we examined the genomic features of Australian S. Enteritidis using the MGTdb and found that Australian S. Enteritidis is mainly epidemiologically linked with Asian strains (especially strains carrying antimicrobial resistance genes) followed by European strains. The first large-scale egg-associated local outbreak in Australia was caused by a recently defined lineage prevalent in Europe, and three European isolates in the MGTdb were closely related but not directly linked to this outbreak. In summary, the S. Enteritidis MGTdb open platform is shown to be a potential powerful tool for national and global public health surveillance of this pathogen.

genomics↗

bioRxiv2022

Genomic dissection of the microevolution of Australian epidemic Bordetella pertussis

Whooping cough (pertussis) is a highly contagious respiratory disease caused by the bacterium Bordetella pertussis. Despite high vaccine coverage, pertussis has re-emerged in many countries and caused two large epidemics in Australia since 2007. Here, we undertook a genomic and phylogeographic study of 385 Australian B. pertussis isolates collected from 2008 to 2017. The Australian B. pertussis population was found to be composed of mostly ptxP3 strains carrying different fim3 alleles, with ptxP3-fim3A genotype expanded far more than ptxP3-fim3B. Within the former, there were six co-circulating epidemic lineages (EL1 to EL6). The multiple ELs emerged, expanded, and then declined at different time points over the two epidemics, likely driven by immune selection from pertussis vaccination and natural infection in addition to local and global transmission events. Both hard and soft selective sweeps through vaccine selection pressures determined the current B. pertussis population dynamics. Relative risk analysis found that once a new B. pertussis lineage emerged, it was more likely to spread locally within the first 1.5 years. However, after 1.5 years, any new lineage was likely to expand to a wider region and became no longer spatially structured across the country. Phylogenetic analysis revealed the expansion of ptxP3 strains was also associated with replacement of the type III secretion system allele bscI1 with bscI3. This study advanced our understanding of the epidemic population structure and spatial and temporal dynamics of B. pertussis in a highly immunised population.

microbiology↗

bioRxiv2021

Improved neutralization of the SARS-CoV-2 Omicron variant after Pfizer-BioNTech BNT162b2 COVID-19 vaccine boosting

In late November 2021, the World Health Organization declared the SARS-CoV-2 lineage B.1.1.529 the fifth variant of concern, Omicron. This variant has acquired 15 mutations in the receptor binding domain of the spike protein, raising concerns that Omicron could evade naturally acquired and vaccine-derived immunity. We utilized an authentic virus, multicycle neutralisation assay to demonstrate that sera collected one, three and six months post-two doses of Pfizer-BioNTech BNT162b2 has a limited ability to neutralise SARS-CoV-2. However, four weeks after a third dose, neutralising antibody titres are boosted. Despite this increase, neutralising antibody titres are reduced four-fold for Omicron compared to lineage A.2.2 SARS-CoV-2.

microbiology↗

bioRxiv2021

SARS-CoV-2 Genome Sequencing Methods Differ In Their Ability To Detect Variants From Low Viral Load Samples

SARS-CoV-2 genomic surveillance has been vital in understanding the spread of COVID-19, the emergence of viral escape mutants and variants of concern. However, low viral loads in clinical specimens affect variant calling for phylogenetic analyses and detection of low frequency variants, important in uncovering infection transmission chains. We systematically evaluated three widely adopted SARS-CoV-2 whole genome sequencing methods for their sensitivity, specificity, and ability to reliably detect low frequency variants. Our analyses highlight that the ARTIC v3 protocol consistently displays high sensitivity for generating complete genomes at low viral loads compared with the probe-based Illumina respiratory viral oligo panel, and a pooled long-amplicon method. We show substantial variability in the number and location of low-frequency variants detected using the three methods, highlighting the importance of selecting appropriate methods to obtain high quality sequence data from low viral load samples for public health and genomic surveillance purposes.

microbiology↗

bioRxiv2021

Genomic evaluation of Bordetella spp. originating from Australia

Bordetella pertussis is the primary causative agent of pertussis, a highly infectious respiratory disease associated with prolonged coughing episodes. Pertussis infections are typically mild in adults, however in neonates, infections can be fatal. Despite successful vaccine uptake, the disease is re-emerging across the globe, therefore it is critical to determine the mechanism by which B. pertussis is escaping vaccination control. Studies have suggested that significant changes have occurred in B. pertussis genomes in response to whole cell and acellular vaccines. Continued molecular monitoring is therefore crucial for public health surveillance. High-resolution molecular surveillance of B. pertussis can be achieved through the sequencing of the whole genome. In public health laboratories, whole genome sequencing is primarily performed by short-read sequencing technologies as they are most cost-effective. However short read sequencing does not resolve the extensive genomic rearrangement evident in Bordetella genomes. This is because repeat regions present in Bordetella genomes are collapsed by downstream analysis. For example, the B. pertussis genome contains more than 200 copies of the IS481 insertion element, hence assemblies generally consist of >200 contigs. Advancements in long-read technologies however increase the potential to circularise and close genomes by bridging the locations of the IS481 insertion element. In this study, we aimed to contextualise the Bordetella spp. circulating in NSW, Australia and assess their relationship with global isolates utilising core genome, SNP and structural clustering analysis using long read technology. We report five closed genomes of Bordetella spp. isolated from Australian patients. Two of the three B. pertussis closed isolates, were unique with their own genomic structure, while the other structurally clustered with global isolates. We found that Australian B. holmesii and B. parapertussis strains cluster with global isolates and do not appear to be unique to Australia. Australian draft B. holmesii SNP analysis showed that between 1999 and 2007, isolates were relatively similar, however post-2012, isolates were distinct from each other. The closed isolates can also be used as high-quality reference sequences for both surveillance and other investigations into pertussis spread.

microbiology↗

bioRxiv2021

Comparison of library preparation and sequencing depths for direct sequencing of Bordetella pertussis positive samples

Whooping cough, or pertussis, is a highly transmissible respiratory infection caused by Bordetella pertussis. Due to the high burden of pertussis, vaccine programmes were introduced internationally and in Australia since the 1950s. This has resulted in a significant decrease of pertussis infections. However, since the 1990s the number of pertussis notifications has increased considerably. Currently circulating B. pertussis strains differ in vaccine antigen composition compared to strains that circulated in the pre-vaccination era. These genetic differences are thought to contribute, in part, to the re-emergence of pertussis in Australia and around the world. Whole genome sequencing (WGS) can resolve minute differences in circulating strains and provides unparalleled resolution of vaccine antigens. This high-resolution snapshot can provide clues that enable more targeted public health interventions. However, pertussis is primarily diagnosed with culture-independent diagnostic assays which offer fast turnaround result times and reduced laboratory costs, eliminating the need to culture isolates. Current WGS methods require a cultured isolate, resulting in an absence of B. pertussis genome sequences in the post vaccination era. This scarcity has, in turn, limited understanding of currently circulating strains and respective vaccine antigen compositions. Recent advancements of WGS technologies have allowed direct sequencing of clinical specimens without the need for a cultured isolate. However, recovering reliable sequence data from clinical samples of low bacterial load infections such as B. pertussis is a pressing challenge. We sought to increase the yield of B. pertussis sequences direct from a clinical sample by evaluating widely available WGS library preparation methods. We report that the Illumina DNA prep library preparation kit combined with deep sequencing allowed the detection of important surveillance information such as allelic variations in the B. pertussis vaccine antigens. Further, our method generates high coverage over the 23S ribosomal RNA of B. pertussis enabling macrolide resistance to be easily determined. Overall, this method can improve surveillance of B. pertussis, by monitoring changes in vaccine antigens, detecting antimicrobial resistance and guiding Public Health control interventions.

microbiology↗

bioRxiv2020

Whole genome sequencing based differentiation between re-infection and relapse in Indian patients with tuberculosis recurrence, with and without HIV co-infection

Differentiation between relapse and reinfection in cases with tuberculosis (TB) recurrence has important implications for public health, especially in patients with human immunodeficiency virus (HIV) co-infection. Forty-one paired M. tuberculosis isolates collected from 20 HIV-positive and 21 HIV-negative patients, who experienced TB recurrence after previous successful treatment, were subjected to whole genome sequencing (WGS) in addition to spoligotyping and mycobacterial interspersed repeat unit (MIRU) typing. Comparison of M. tuberculosis genomes indicated that 95% of TB recurrences in the HIV-negative cohort were due to relapse, while the majority of TB recurrences (75%) in the HIV-positive cohort was due to re-infection (P=0.0001). Drug resistance conferring mutations were documented in four pairs (9%) of isolates associated with relapse. The high contribution of re-infection to TB among HIV patients warrants further study to explore risk factors for TB exposure in the community.

genomics↗

bioRxiv2020

Elucidation of global and local epidemiology of Salmonella Enteritidis through multilevel genome typing

Salmonella enterica serovar Enteritidis is a major cause of foodborne Salmonella infections and outbreaks in humans. Effective surveillance and timely outbreak detection are essential for public health control. Multilevel genome typing (MGT) with multiple levels of resolution has been previously demonstrated as a promising tool for this purpose. In this study, we developed MGT with nine levels for S. Enteritidis and characterised the genomic epidemiology of S. Enteritidis in detail. We examined 26,670 publicly available S. Enteritidis genome sequences from isolates spanning 101 years from 86 countries to reveal their spatial and temporal distributions. Using the lower resolution MGT levels, globally prevalent and regionally restricted sequence types (STs) were identified; avian associated MGT4-STs were found that were common in human cases in the USA were identified; temporal trends were observed in the UK with MGT5-STs from 2014 to 2018, revealing both long lived endemic STs and the rapid expansion of new STs. Using MGT3 to MGT6, we identified MDR associated STs at various MGT levels, which improves precision of detection and global tracking of MDR clones. We also found that the majority of the global S. Enteritidis population fell within two predominant lineages, which had significantly different propensity of causing large scale outbreaks. An online open MGT database has been established for unified international surveillance of S. Enteritidis. We demonstrated that MGT provides a flexible and high-resolution genome typing tool for S. Enteritidis surveillance and outbreak detection. Impact statementSalmonella enterica serovar Enteritidis is a common foodborne pathogen that can cause large outbreaks. Surveillance and high-resolution typing are essential for outbreak prevention and control. Genome sequencing offers unprecedented power for these purposes and a standardised method or platform for the interpretation, comparison and communication of genomic typing data is highly desirable. In this work, we developed a genomic typing scheme called Multilevel Genome Typing (MGT) for S. Enteritidis. We analysed 26,670 publicly available genomes of S. Enteritidis using MGT. We characterised the geographic and temporal distribution of S. Enteritidis MGT types as well as their association with multidrug resistance (MDR) and virulence genes. A publicly available MGT database for S. Enteritidis was established, which has the potential facilitate the unified global public health surveillance for this pathogen. Data SummaryO_LIThe MGT database for S. Enteritidis is available at https://mgtdb.unsw.edu.au/enteritidis/. C_LIO_LIAll accession numbers of the public available genomes were available in the MGT database and Data Set S1, Tab 1. And there were no newly sequenced data in this study. C_LIO_LISupplementary material: Supplementary Fig. S1 to S7, supplementary methods and supporting results about the evaluation of potential repeat sequencing bias. C_LIO_LIData Set S1: Supporting tables of the main results. C_LIO_LIData Set S2. Supporting tables of the repeat sequencing bias evaluation by removing the potential repeat sequencing isolates. Note outbreak isolates may also be removed. C_LI

genomics↗