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Weill, F.-X.

Publications and source records attributed to Weill, F.-X..

16 recordsLinked to original sources

Continued genomic surveillance of Vibrio cholerae O1 isolates from cholera cases in Europe, 2023-2024

Background: Following the global resurgence of cholera in 2022, 51 cholera cases were reported by European countries. We previously characterised 49 Vibrio cholerae O1 isolates from these cases using whole genome sequencing. In 2023 and 2024, 59 additional cholera cases were reported by 11 European countries. Aim: We aimed to confirm that V. cholerae O1 isolates associated with cholera cases reported in Europe in 2023-2024 belonged to the epidemic seventh pandemic El Tor (7PET) lineage rather than to non-epidemic V. cholerae O1 lineages, and to characterise their virulence, antimicrobial resistance (AMR) determinants and phylogenetic relationships. Methods: Fifty V. cholerae O1 isolates were available for whole genome sequencing, of which 49 yielded genomes of sufficient quality for analysis. Genomes were analysed together with more than 1,500 publicly available 7PET genomes to place the European isolates into a global phylogenetic context. Results: All 49 genomes belonged to the 7PET lineage and Wave 3. Four sub-lineages were identified: BD1.2 (2/49), AFR12 (6/49), AFR13 (8/49) and Pre-AFR15 (33/49). The predominance of Pre-AFR15 confirms its continued contribution to the ongoing global cholera resurgence. In contrast to our 2022 survey, eight highly drug-resistant AFR13 isolates were detected, documenting the international spread of this highly drug-resistant clone resistant to multiple first-line antimicrobial agents. Conclusion: Whole genome sequencing should be routinely used by reference laboratories to distinguish epidemic 7PET from non-epidemic V. cholerae O1 lineages and to monitor the emergence and international spread of AMR clones. Continued collaborative genomic surveillance of travel-associated cholera cases can provide early insights into the emergence, international spread and antimicrobial resistance of 7PET sub-lineages.

genomics↗

Evolution of multidrug-resistant IncC plasmids in the seventh pandemic Vibrio cholerae O1 El Tor lineage between 1979 and 2024

IncC plasmids played an important role in driving antimicrobial drug resistance development in the seventh pandemic Vibrio cholerae O1 El Tor (7PET) lineage during the 1970s and these have begun to re-emerge. In this study, we investigated a comprehensive dataset for 28 complete IncC plasmids -- including 17 newly sequenced plasmid genomes -- from 7PET isolates collected on various continents between 1979 and 2024 and distributed across the global phylogenetic tree for 7PET isolates. IncC type 2 predominated among the V. cholerae plasmids studied, and five new core genome sequence types (cgSTs) were identified. The antimicrobial resistance genes (ARGs) were arranged in islands inserted at specific hotspots within the common IncC backbone and were significantly associated with IncC types or islands. The IncC plasmid backbone has remained stable over the last 50 years, but the ARGs and their associated genomic islands displayed remarkable diversity, underscoring the complex evolution patterns of the 7PET lineage of V. cholerae and its considerable adaptability under selective pressure.

microbiology↗

Flex-It: A global standardised genotyping framework for Shigella flexneri

Shigella flexneri is the leading causative agent of shigellosis globally. The public health threat posed by S. flexneri is compounded by its emergence as a sexually transmissible infection, importance of international travel in driving dissemination, and the increasing prevalence of antimicrobial resistance (AMR). A rapid and robust computational method is needed to enhance genomic surveillance and systematically explore features of the population structure of this WHO priority pathogen, which is scalable and readily implementable across jurisdictions, particularly as vaccine development efforts are underway. Here, we present Flex-It, a genomic framework and genotyping scheme implemented in Mykrobe for S. flexneri serotypes 1-5, X & Y, compatible with previous approaches used to describe S. flexneris population structure. To develop Flex-It, we curated a retrospective dataset of 5,819 publicly available S. flexneri genomes. We characterised the global population structure for S. flexneri, exploring geographical and temporal traits, and showed the granular diversity of AMR and serotype profiles. We applied Flex-It to >13,000 genomes routinely generated by public health laboratories from Australia, the UK and the USA across a ten-year period. We found significant genotype diversity in all three locations, with the emergence of genotypes with converged resistance to all major drugs currently used for treatment. Flex-It provides an open-source, novel genotyping method that rapidly characterises S. flexneri and its ciprofloxacin resistance determinants in <1 minute from both short and long whole-genome sequencing reads. Flex-It provides the community with a standardised nomenclature to monitor the emergence and spread of S. flexneri lineages.

microbiology↗

A public resource of 15 genomically characterised representative strains of Shigella sonnei

Shigella sonnei is rapidly emerging as the dominant agent of shigellosis, an enteric disease responsible for a significant burden of morbidity and mortality worldwide. Whole-genome sequencing of S. sonnei isolated over the last three decades has revealed phylogenomic diversity within the population and the emergence of multiple lineages associated with distinct epidemiological patterns such as resistance to critical antimicrobials and/or transmission within different groups. However most experimental work on S. sonnei biology and pathogenicity has focused on a single laboratory strain (53G), which is phylogenetically distant from currently circulating strains. Here we introduce a set of 15 phylogenetically diverse and epidemiologically relevant S. sonnei isolates made available through publicly accessible culture collections as a resource for laboratory science. We present their complete whole-genome sequences, including the pINV invasion plasmid (missing from a large proportion of public genome data due to loss during laboratory culture). Finally, the characterisation and comparison of these complete genome sequences highlight evidence for ongoing adaptive evolution in S. sonnei, featuring the accumulation of insertion sequences, gene pseudogenisation and structural variation. Significance as a BioResource to the communityGenomic analysis of Shigella has historically been challenging due to presence of hundreds of repetitive sequence elements (which can cause fragmented assemblies) and loss of the pINV invasion plasmid (essential to virulence) during laboratory culture. Furthermore, most experimental work on S. sonnei pathogenicity uses a lab strain that is phylogenetically distant from circulating isolates. To support S. sonnei experimental and in silico research and increase its relevance to current clinical problems, we report here the complete, high-quality genome sequences of 15 S. sonnei isolates, each selected to represent distinct sub-clades of epidemiological interest. We also make the corresponding strains publicly available in national reference culture collections. Data summaryAll sequencing reads and complete assemblies have been deposited into the National Center for Biotechnology Information (NCBI) database (accessions to be determined). Genome assemblies and Bakta annotations used in the analysis can be found in Figshare (https://doi.org/10.6084/m9.figshare.28302986) together with Mauve multiple-sequence alignments for the chromosome and pINV plasmid sequences, and genome-scale metabolic models produced for each strain. Pure cultures of all strains were deposited in the publicly accessible National Collection of Type Cultures (NCTC, UK) or the "Collection de lInstitut Pasteur" (CIP, France) (accessions to be determined).

microbiology↗

"This training is bound for glory": selection by experimental evolution of a bacteriophage with expanded host-range and increased virulence

Viral host range expansion is predicted to evolve at the cost of reduced mean fitness. We investigated the adaptive walks of a virulent phage (Tequintavirus) in a spatially variable environment composed of four susceptible bacterial isolates and four resistant ones (Salmonella enterica serotype Tennessee, sequence types ST5018 and ST319 respectively). Starting from a single ancestral phage, we evolved multiple independent populations through serial passages on non-coevolving bacteria, following the Appelmans protocol. The phage populations evolved an expanded host range and increased virulence. Whole-genome sequencing revealed recurrent parallel mutations across populations (i.e. convergent evolution), particularly in genes encoding exo- and endo-nucleases, dUTPase, and caudal proteins. Notably, two parallel mutations in the gene coding for the Long Tail Fibre became fixed early in the evolutionary trajectories. Reverse-genetics experiments introducing these mutations into the ancestral genome expanded the host range but yielded only marginal increases in virulence, highlighting the effect of compensatory mutations. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/584857v3_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@cec6b5org.highwire.dtl.DTLVardef@1579ba4org.highwire.dtl.DTLVardef@ab5ad5org.highwire.dtl.DTLVardef@1d88160_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights* A phage (Tequintavirus) was evolved on susceptible and resistant Salmonella enterica strains * Experimentally evolved phage populations displayed expanded host range and increased virulence * Convergent evolution revealed adaptive mutations modifying receptor recognition in caudal proteins * Reverse-genetic showed implication of two Long Tail Fibre mutations in host range expansion In BriefGeneralism is traditionally predicted to evolve at the cost of lower mean fitness. Contrary to this textbook view, we demonstrate that generalist phages with expanded host range and increased virulence can readily evolve in vitro and be purposely optimized for phage therapy applications.

evolutionary biology↗

Global diversity and evolution of Salmonella Panama, an understudied serovar causing gastrointestinal and invasive disease worldwide: a genomic epidemiology study

BackgroundNontyphoidal Salmonella (NTS) is a globally important bacterial pathogen, typically associated with foodborne gastrointestinal infection. Some NTS serovars can also colonise normally sterile sites in humans to cause invasive NTS (iNTS) disease. One understudied Salmonella enterica serovar which is responsible for a significant number of cases of iNTS disease is Panama. Despite global dissemination, numerous outbreaks, and a reported association with iNTS disease, S. enterica serovar Panama (S. Panama) has not been investigated in detail. MethodsUsing combined epidemiological and whole genome sequencing data we analysed 836 S. Panama genomes derived from historical collections, national surveillance datasets, and publicly available data. The collection represents all inhabited continents and includes isolates collected between 1931 and 2019. Maximum likelihood and Bayesian phylodynamic approaches were used to determine population structure & evolutionary history, and to infer geo-temporal dissemination. A combination of different bioinformatic approaches utilising short-read and long-read data were used to characterise geographic and clade-specific trends in antimicrobial resistance (AMR), and genetic markers for invasiveness. FindingsWe identified the presence of multiple geographically linked S. Panama clades, and regional trends in antimicrobial resistance profiles. Most isolates were pan-susceptible to antibiotics and belonged to clades circulating in the United States of America, Latin America, and the Caribbean. Multidrug resistant (MDR) isolates in our collection belonged to two phylogenetic clades circulating in Europe and Asia/Oceania, which exhibited the highest invasiveness indices based on the conservation of 196 extra-intestinal predictor genes. InterpretationThis first large-scale phylogenetic analysis of S. Panama revealed important information about population structure, AMR, global ecology, and genetic markers of invasiveness of the identified genomic subtypes. Our findings provide an important baseline for understanding S. Panama infection in the future. The presence of MDR clades with an elevated invasiveness index should be monitored by ongoing surveillance as such clades may pose an increased public health risk. FundingThe project was supported by both a Global Challenges Research Fund (GCRF) data & resources grant BBS/OS/GC/000009D and the BBSRC Core Capability Grant to the Earlham Institute BB/CCG1720/1. JCDH received a Wellcome Trust Investigator award (grant number 222528/Z/21/Z). CVP was supported by the John Lennon Memorial Scholarship from the University of Liverpool and a Fee Bursary Award from the Institute of Integrative Biology at the University of Liverpool. FXW was awarded the Institut Pasteur; Sante publique France; the Fondation Le Roch-Les Mousquetaires; and the French governments Investissement dAvenir programme, Laboratoire dExcellence "Integrative Biology of Emerging Infectious Diseases" (grant number ANR-10-LABX-62-IBEID). MDS was supported by a BBSRC grant (KSB: BB/V009184/1). RJBengtsson was supported by an MRC grant (KSB: MR/R020787/1). RJBennett was supported by a BBSRC DTP (BB/M011186/1). DJI was supported by a National Health and Medical Research Council (NHMRC) Emerging Leadership Fellowship (GNT1195210). BPH was supported by NHMRC Leadership Fellowship (GNT1196103). KSB and EVR are affiliated to the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Gastrointestinal Infections at University of Liverpool in partnership with the United Kingdom Health Security Agency, in collaboration with University of Warwick. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, the Department of Health and Social Care or UKHSA. MAC is affiliated to the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) (NIHR200892) in Genomics and Enabling Data at University of Warwick in partnership with the UK Health Security Agency (UKHSA), in collaboration with Universities of Cambridge and Oxford. MAC is based at UKHSA. The views expressed are those of the author(s) and not necessarily those of the NIHR, the Department of Health and Social Care or the UK Health Security Agency. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. No payment was received by any pharmaceutical company or other agency to write this article. The authors were not precluded from accessing data in the study, and accept responsibility to submit for publication. Research in contextO_ST_ABSEvidence before this studyC_ST_ABSSalmonella Panama has consistently been reported as a frequently isolated Salmonella serovar in national surveillance datasets, causing both sporadic cases and larger outbreaks. However, this picture has been masked due to most of the focus being placed on the top two serovars associated with nontyphoidal Salmonella (NTS) and invasive NTS disease: Typhimurium and Enteritidis. Previous works on S. Panama have determined transmission to include human faeces and breast milk, as well as non-human sources such as environmental reservoirs and animals (reptiles and pigs used for food). In contrast to most of the Salmonella serovars causing gastroenteritis, S. Panama has also been associated with a range of systemic infections including septicaemia, meningitis, and osteomyelitis, mostly affecting infants. The patterns of antimicrobial resistance of this pathogen were not well known, with studies reporting a mixture of different antimicrobial resistance profiles. Added value of this studyHere we conducted a large-scale study of 836 globally relevant S. Panama isolates to understand global population structure and disease ecology. The S. Panama genomes used in this study were sourced from a combination of historical collections (including the first ever isolated strain of this serovar dating from 1931), national surveillance datasets, and publicly available data. Some of these isolates had been linked to travel, allowing an inferred location for understanding population structure. Overall, this assembled S. Panama collection spanned a range of 88 years and covered 45 countries and regions of all inhabited continents. We applied bacterial phylodynamic approaches to determine population structure, evolutionary history, and clade-specific trends of invasiveness and antimicrobial resistance correlated with geo-temporal parameters. Implications of all the available evidenceThis study revealed the population structure and global ecology of S. Panama, indicating that multidrug resistant S. Panama circulates in European and Asian regions, and presents an increased number of genetic markers for extra-intestinal invasiveness. The transmission and expansion of antimicrobial-resistant S. Panama strains presented in this study highlight the significance of supporting control and monitoring efforts from an international perspective.

genomics↗

An unusual two-strain cholera outbreak in Lebanon, 2022-2023: a genomic epidemiology study

BackgroundCholera is a bacterial infection caused by the ingestion of contaminated water or food. It principally affects the gastrointestinal system and spreads easily, causing outbreaks. The first case of cholera in this outbreak was detected in Lebanon in October 2022. The outbreak lasted three months, with 8,007 suspected cases (671 laboratory-confirmed) and 23 deaths. We characterised the Vibrio cholerae strain responsible for this cholera outbreak. MethodsIn total, 34 Vibrio cholerae isolates collected by random sampling of stools, water and plant samples throughout the outbreak and over the affected regions were studied by phenotypic methods and microbial genomics. FindingsAll isolates were V. cholerae O1, serotype Ogawa strains from wave 3 of the seventh pandemic El Tor (7PET) lineage. Phylogenomic analysis unexpectedly revealed the presence of two different 7PET strains, a highly unusual finding outside the Bay of Bengal, where several sublineages circulate together. The dominant strain had a narrow antibiotic resistance profile and was phylogenetically related to South Asian V. cholerae isolates. The second strain, which was found exclusively in South Lebanon and Beqaa, was resistant to multiple antibiotics, including macrolides, third-generation cephalosporins and cotrimoxazole. It belonged to the AFR13 sublineage and clustered with V. cholerae isolates collected in Yemen from 2016 to 2019. This second Lebanese strain also harboured the same multidrug-resistance (MDR) IncC-type plasmid found in Yemeni isolates from 2018. InterpretationThe 2022-2023 Lebanese cholera outbreak was caused by the simultaneous introduction of two different 7PET strains. The MDR strain was geographically limited, but the spread of this clone or the horizontal transfer of the MDR plasmid to more susceptible clones could affect epidemic cholera case management. Genomic surveillance is crucial to prevent further spread, and to ensure a prompt and effective response to outbreaks. FundingThe study was funded by the Centers for Disease Control (CDC) award number BAA 75D301-21-C-12132, a grant awarded to the American University of Beirut, WHO country office Lebanon, the Lebanese University, and Institut Pasteur. RESEARCH IN CONTEXT PANELO_ST_ABSEvidence before this studyC_ST_ABSWhole-genome sequencing (WGS) has greatly advanced our understanding and the characterisation of Vibrio cholerae outbreaks. However, few studies in the Middle East and North Africa (MENA) region have used this powerful technology. We searched PubMed for studies investigating the molecular epidemiology of V. cholerae by WGS in the MENA region, including Lebanon, with the terms "cholera*" AND "a country name of MENA countries" with no restrictions on language or date. The very small number of studies identified concerned Yemen and Algeria. All the outbreaks in the MENA region investigated to date and many others worldwide were caused by a single strain introduced once, contrasting with the endemic setting (the Bay of Bengal) in which several lineages circulate together. One manuscript addressing the history of cholera in Africa from a genomic perspective assigned three Lebanese strains from past outbreaks in 1970 and 1993 as O1 Ogawa isolates from waves 1 and 2 of the seventh pandemic lineage (7PET). Added value of the studyWe provide the first comprehensive overview of the molecular epidemiology of the V. cholerae strains responsible for the 2022-2023 Lebanese cholera outbreak. The use of WGS made it possible to distinguish clearly between two phylogenetically distant strains from genomic wave 3 of the 7PET lineage responsible for the Lebanese outbreak and to assign their putative origins to South Asia and Yemen. Based on their different susceptibility patterns (a predominant strain with a narrow resistance profile and a minor strain with an extended resistance profile), WGS excluded the hypothesis of the multidrug-resistant (MDR) minor strain emerging from the susceptible dominant strain through the acquisition of the MDR plasmid, instead clearly demonstrating the seeding of the outbreak by two different introductions. Implications of all available evidenceThis study demonstrates the importance of WGS associated with national surveillance for obtaining new insights and perspectives, modifying our perception of V. cholerae outbreak. This unexpected occurrence of a two-strain outbreak in a setting considered non-endemic for V. cholerae requires tight control by the local health authorities to prevent the sporadic introduction and spread of additional strains. Our findings raise the question of the extent to which the strains identified, particularly those from South Asia, spread in Iraq and Syria, neighbouring countries that declared cholera outbreaks before Lebanon. It is difficult to answer this question due to the lack of strains collected from these countries. Regional surveillance of the causal agent of cholera is therefore essential, to unravel transmission events and monitor the emergence of antimicrobial drug-resistant strains observed in many countries around the world.

microbiology↗

Recent O-antigen diversification masks highly pathogenic STEC O104:H4

Shiga toxin-producing E. coli (STEC) can give rise to a range of clinical outcomes from diarrhea to the life-threatening systemic condition, hemolytic uremic syndrome (HUS). Although STEC O157:H7 is the serotype most frequently associated with HUS, a major outbreak of HUS occurred in 2011 in Germany, and was caused by a rare serotype, STEC O104:H4. Prior to 2011 and since the outbreak, STEC O104:H4 strains have only rarely been associated with human infections. From 2012 to 2020 intensified STEC surveillance was performed in Germany where subtyping of [~]8,000 clinical isolates by molecular methods including whole genome sequencing was carried out. A rare STEC serotype O181:H4 associated with HUS was identified and, like the STEC O104:H4 outbreak strain, this strain belongs to sequence type (ST) 678. Genomic and virulence comparisons revealed that the two strains are phylogenetically related and differ principally in the gene cluster encoding their respective lipopolysaccharide O-antigens but exhibit similar virulence phenotypes. In addition, five other serotypes belonging to ST678 from human clinical infection, such as OX13:H4, O127:H4, OgN-RKI9:H4, O131:H4, and O69:H4, were identified from diverse locations worldwide. ImportanceOur data suggest the high virulence ensemble of the STEC O104:H4 outbreak strain remains a global threat because genomically similar strains cause disease worldwide, but that horizontal acquisition of O-antigen gene clusters has diversified the O-antigens of strains belonging to ST678. Thus, identification of these highly pathogenic strains is masked by diverse and rare O-antigens, thereby confounding the interpretation of their potential risk.

microbiology↗

Rapid emergence of extensively drug-resistant Shigella sonnei in France

Shigella sonnei, the main cause of bacillary dysentery in high-income countries, has become increasingly resistant to antibiotics. We monitored the antimicrobial susceptibility of 7,121 S. sonnei isolates collected in France between 2005 and 2021. We identified a dramatic increase in the proportion of extensively drug-resistant (XDR) isolates (i.e., simultaneously resistant to ciprofloxacin, third-generation cephalosporins and azithromycin), to 22.3% of all S. sonnei isolates in 2021. Our genomic analysis identified 13 different clusters of XDR isolates descended from a ciprofloxacin-resistant sublineage originating from South Asia. The 164 XDR isolates detected were resistant to azithromycin, principally through a pKSR100-like plasmid, and to third-generation cephalosporins through various genes and plasmids. This rapid emergence of XDR S. sonnei in different transmission networks, particularly among men who have sex with men, is a matter of concern, and good laboratory-based surveillance of Shigella infections will be crucial for informed decision-making and appropriate public health action.

microbiology↗

Genomic epidemiology of the cholera outbreak in Yemen reveals the spread of a multi-drug resistance plasmid between diverse lineages of Vibrio cholerae

The humanitarian crisis in Yemen led in 2016 to the biggest cholera outbreak documented in modern history, with more than 2.5 million suspected cases to date. In late 2018, epidemiological surveillance showed that V. cholerae isolated from cholera patients had turned multi-drug resistant (MDR). We generated genomes from 260 isolates sampled in Yemen between 2018 and 2019 to identify a possible shift in circulating genotypes. 84% of V. cholerae isolates were serogroup O1 belonging to the seventh pandemic El Tor (7PET) lineage, sublineage T13 - same as in 2016 and 2017 - while the remaining 16% of strains were non-toxigenic and belonged to divergent V. cholerae lineages, likely reflecting sporadic gut colonisation by endemic strains. Phylogenomic analysis reveals a succession of T13 clones, with 2019 dominated by a clone that carried an IncC-type plasmid harbouring an MDR pseudo-compound transposon (PCT). Identical copies of these mobile elements were found independently in several unrelated lineages, suggesting exchange and recombination between endemic and epidemic strains. Treatment of severe cholera patients with macrolides in Yemen from 2016 to early 2019 coincides with the emergence of the plasmid-carrying T13 clone. The unprecedented success of this genotype where an SXT-family integrative and conjugative element (SXT/ICE) and an IncC plasmid coinhabit show the stability of this MDR plasmid in the 7PET background, which may durably reduce options for epidemic cholera case management. We advocate a heightened genomic epidemiology surveillance of cholera to help control the spread of this highly-transmissible, MDR clone.

microbiology↗

The phylogenomic landscape of the genus Serratia

The genus Serratia has been studied for over a century and includes clinically-important and diverse environmental members. Despite this, there is a paucity of genomic information across the genus and a robust whole genome-based phylogenetic framework is lacking. Here, we have assembled and analysed a representative set of 664 genomes from across the genus, including 215 historic isolates originally used in defining the genus. Phylogenomic analysis of the genus reveals a clearly-defined population structure which displays deep divisions and aligns with ecological niche, as well as striking congruence between historical biochemical phenotyping data and contemporary genomics data. We show that Serratia is a diverse genus which displays striking plasticity and ability to adapt to its environment, including a highly-varied portfolio of plasmids, and provide evidence of different patterns of gene flow across the genus. This work provides an essential platform for understanding the emergence of clinical and other lineages of Serratia.

microbiology↗

Population structure analysis and laboratory monitoring of Shigella with a standardised core-genome multilocus sequence typing scheme: a validation study

The laboratory surveillance of bacillary dysentery is based on a standardised Shigella typing scheme that classifies Shigella strains into four serogroups and more than 50 serotypes on the basis of biochemical tests and lipopolysaccharide O-antigen serotyping. Real-time genomic surveillance of Shigella infections has been implemented in several countries, but without the use of a standardised typing scheme. We studied over 4,000 reference strains and clinical isolates of Shigella, covering all serotypes, with both the current serotyping scheme and the standardised EnteroBase core-genome multilocus sequence typing scheme (cgMLST). The Shigella genomes were grouped into eight phylogenetically distinct clusters, within the E. coli species. The cgMLST hierarchical clustering (HC) analysis at different levels of resolution (HC2000 to HC400) recognised the natural groupings for Shigella. By contrast, the serotyping scheme was affected by horizontal gene transfer, leading to a conflation of genetically unrelated Shigella strains and a separation of genetically related strains. The use of this cgMLST scheme will enhance the laboratory surveillance of Shigella infections.

genomics↗

Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei

Shigella sonnei is the most common agent of shigellosis in high-income countries, and causes a significant disease burden in low- and middle-income countries. Antimicrobial resistance is increasingly common in all settings. Whole genome sequencing (WGS) is increasingly utilised for S. sonnei outbreak investigation and surveillance, but comparison of data between studies and labs is challenging. Here, we present a genomic framework and genotyping scheme for S. sonnei to efficiently identify genotype and resistance determinants from WGS data. The scheme is implemented in the software package Mykrobe and tested on thousands of genomes. Applying this approach to analyse >4,000 S. sonnei isolates sequenced in public health labs in three countries identified several common genotypes associated with increased rates of ciprofloxacin resistance and azithromycin resistance, confirming intercontinental spread of highly-resistant S. sonnei clones and demonstrating the genomic framework can facilitate monitoring of the emergence and spread of resistant clones at local and global scales.

microbiology↗

The speciation and hybridization history of the genus Salmonella

Bacteria and archaea make up most of natural diversity but the mechanisms that underlie the origin and maintenance of prokaryotic species are poorly understood. We investigated the speciation history of the genus Salmonella, an ecologically diverse bacterial lineage, within which S. enterica subsp. enterica is responsible for important human food-borne infections. We performed a survey of diversity across a large reference collection using multilocus sequence typing, followed by genome sequencing of distinct lineages. We identified eleven distinct phylogroups, three of which were previously undescribed. Strains assigned to S. enterica subsp. salamae are polyphyletic, with two distinct lineages that we designate Salamae A and Salamae B. Strains of subspecies houtenae are subdivided into two groups, Houtenae A and B and are both related to Selanders group VII. A phylogroup we designate VIII was previously unknown. A simple binary fission model of speciation cannot explain observed patterns of sequence diversity. In the recent past, there have been large scale hybridization events involving an unsampled ancestral lineage and three distantly related lineages of the genus that have given rise to Houtenae A, Houtenae B and VII. We found no evidence for ongoing hybridization in the other eight lineages but detected more subtle signals of ancient recombination events. We are unable to fully resolve the speciation history of the genus, which might have involved additional speciation-by-hybridization or multi-way speciation events. Our results imply that traditional models of speciation by binary fission and divergence may not apply in Salmonella.\n\nData summaryIllumina sequence data were submitted to the European Nucleotide Archive under project number PRJEB2099 and are available from INSDC (NCBI/ENA/DDBJ) under accession numbers ERS011101 to ERS011146. The MLST sequence and profile data generated in this study have been publicly available on the Salmonella MLST web site between 2010 and the migration of the Salmonella MLST website to EnteroBase (https://enterobase.warwick.ac.uk/), and subsequently from there.

microbiology↗

Global phylogenomics of multidrug resistant Salmonella enterica serotype Kentucky ST198

Salmonella enterica serotype Kentucky (S. Kentucky) can be a common causative agent of salmonellosis, usually associated with consumption of contaminated poultry. Antimicrobial resistance (AMR) to multiple drugs, including ciprofloxacin, is an emerging problem within this serotype. We used whole-genome sequencing (WGS) to investigate the phylogenetic structure and AMR content of 121 S. Kentucky ST198 isolates from five continents. Population structure was inferred using phylogenomic analysis and whole genomes were compared to investigate changes in gene content, with a focus on acquired AMR genes. Our analysis showed that multidrug resistant (MDR) S. Kentucky isolates belonged to a single lineage, which we estimate emerged circa 1989 following the acquisition of the AMR-associated Salmonella genomic island 1 (variant SGI1-K) conferring resistance ampicillin, streptomycin, gentamicin, sulfamethoxazole, and tetracycline. Phylogeographic analysis indicates this clone emerged in Egypt before disseminating into Northern, Southern and Western Africa, then to the Middle East, Asia and the European Union. The MDR clone has since accumulated various substitution mutations in the quinolone resistance determining regions (QRDR) of DNA gyrase (gyrA) and DNA topoisomerase (parC), such that most strains carry three QRDR mutations which together confer resistance to ciprofloxacin. The majority of AMR genes in the S. Kentucky genomes were carried either on plasmids or SGI structures. Remarkably, each genome carried a different SGI1-K derivative structure; this variation could be attributed to IS26-mediated insertions and deletions, which appear to have hampered previous attempts to trace the clone's evolution using sub-WGS resolution approaches. Several different AMR plasmids were also identified, encoding resistance to chloramphenicol, third-generation cephalosporins, carbapenems, and/or azithromycin. These results indicate that most MDR S. Kentucky circulating globally result from the clonal expansion of a single lineage that acquired chromosomal AMR genes 30 years ago, and has continued to diversify and accumulate additional resistances to last-line oral antimicrobials.

microbiology↗

Millennia of genomic stability within the invasive Para C Lineage of Salmonella enterica

Salmonella enterica serovar Paratyphi C is the causative agent of enteric (paratyphoid) fever. While today a potentially lethal infection of humans that occurs in Africa and Asia, early 20th century observations in Eastern Europe suggest it may once have had a wider-ranging impact on human societies. We recovered a draft Paratyphi C genome from the 800-year-old skeleton of a young woman in Trondheim, Norway, who likely died of enteric fever. Analysis of this genome against a new, significantly expanded database of related modern genomes demonstrated that Paratyphi C is descended from the ancestors of swine pathogens, serovars Choleraesuis and Typhisuis, together forming the Para C Lineage. Our results indicate that Paratyphi C has been a pathogen of humans for at least 1,000 years, and may have evolved after zoonotic transfer from swine during the Neolithic period.\n\nOne Sentence SummaryThe combination of an 800-year-old Salmonella enterica Paratyphi C genome with genomes from extant bacteria reshapes our understanding of this pathogens origins and evolution.

microbiology↗