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Wagenaar, J. A.

Publications and source records attributed to Wagenaar, J. A..

12 recordsLinked to original sources

Population analysis and host-disease associations of Shiga toxin-producing Escherichia coli from various sources across eleven European countries using whole genome sequencing

Shiga toxin-producing Escherichia coli (STEC) are important foodborne pathogens, able to cause severe disease in humans. In the DiSCoVeR project (https://onehealthejp.eu/jrp-discover/) a STEC inventory from human and non-human sources from 11 European countries was set up and [≥] 3500 strains were sequenced to perform comparative genomics analysis. We used this dataset to assess STEC population structure and to investigate potential associations between genomic features, host reservoirs and symptoms. Most STEC isolates analysed by Whole Genome Sequencing (WGS) in this study were collected between years 2010-2020. An ad hoc pipeline was deployed for a harmonised characterization of the STEC in the database, allowing the determination of serotyping, stx gene subtyping, 7-loci MLST, virulotyping and cgMLST. The results were analysed with Principal Component Analysis (PCoA) in relation with isolation source to assess clustering of STEC subpopulations. When human STEC data were analysed, the PCoA revealed three distinct human STEC subpopulations (STEC_1, STEC_2 and STEC_3), which were further analysed for associations between genomic features, symptoms and variance. The non-human STEC showed a more dispersed distribution, except for one subpopulation with genes linked to specific host species, and some virulence profiles overlapping with the STEC_1 population. In conclusion, our analysis identified distinct STEC subpopulations from human cases, each characterized by specific genetic features and associated with varying proportions of severe disease outcomes. These findings provide novel insights supporting the risk assessment of STEC. Impact statement[This lay summary of your article should be no more than 200 words, and should a) provide a perspective of how this article adds to the literature in the field; b) identify breadth of interest/utility; and c) state the significance of output (incremental or step), in terms of relevance.] This study is based on the establishment of a One Health STEC genomes database, including sequences from isolates of different sources. Most of the isolates had been isolated in the ten-years time span 2010-2020, in 11 different countries, for surveillance and monitoring activities or specific surveys and research purposes. The final dataset included the whole genome sequencing of 3,418 STEC isolates, mainly from human cases of infections. The metadata included the host symptoms, where available, for human STEC strains and the animal source the strains had been isolated from. We set up a pipeline for the harmonized analysis of STEC WGS, called Discover, made available though ARIES webserver or GitHub. The analysis allowed a deep characterization of STEC strains circulating in Europe. We used this resource to assess STEC population structure and to investigate potential associations between genomic features, host reservoirs, and various symptoms associated with STEC infection by PCoA. This analysis highlighted the presence of subpopulation of human STEC associated with specific features. We provide new information useful for risk characterization, as well as a large dataset genome database and associated metadata compiled from STEC strains, representing a valuable resource for the scientific community, enabling further investigations into STEC diversity, evolution, source attribution and public health relevance. Data summaryThe authors confirm all supporting data, including sequence data accession numbers, code and protocols have been provided within the article or through supplementary data files. One supplementary method and five supplementary tables are available with the online version of this article

genomics↗

Bacterial cell-free DNA profiling reveals co-elevation of multiple bacteria in newborn foals with suspected sepsis

BackgroundSepsis is the leading cause of death in newborn foals. This study investigates whether cell-free DNA (cfDNA) sequencing can enhance bacterial pathogen detection in foals with suspected sepsis and addresses existing knowledge gaps and diagnostic challenges. MethodsWe developed a foal cfDNA sequencing for bacteria identification (cfFBI) workflow, integrating wetlab and computational protocols to detect increased bacterial cfDNA abundance in blood. Specifically, cfFBI focusses on enriching bacterial cfDNA molecules and preventing false positive bacterial identifications. cfFBI was applied to blood samples of 25 hospitalized foals categorized according to the neonatal Systemic Inflammatory Response Syndrome (nSIRS) criteria and 7 healthy foals. ResultscfDNA levels of potential sepsis-causing bacterial genera were elevated in all 11 nSIRS-positive foals compared to healthy foals (n=7), and in 8/11 (72.7%) when compared to both nSIRS-negative (n=4; nSIRS=0) and healthy foals, with multiple genera elevated in 5/11 (45.5%). The total cfDNA concentration, bacterial cfDNA fraction and bacterial diversity were not different between the foal groups. However, nSIRS-positive foals showed significantly different end-motifs in host chromosomal cfDNA, and a decrease in host mitochondrial cfDNA fraction. ConclusionsThis study is the first to demonstrate that cfDNA sequencing in blood samples from newborn foals enables detection of pathogenic bacteria and can help identify novel host-related sepsis biomarkers. The elevated presence of multiple sepsis-causing genera in nSIRS-positive foals and the difference in end-motif, suggests that multibacterial elevation may be more common than previously thought. These findings indicate that cfDNA sequencing holds promise as a future diagnostic tool for identifying sepsis in newborn foals.

pathology↗

Targeted isolation of bacteria with potential to competitively exclude Staphylococcus aureus in the upper respiratory tract of pigs

Considering global antimicrobial resistance (AMR) prevalence, alternative or complementary strategies to antimicrobial use, are of interest. Livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) is of particular interest as despite significant AMU reduction, LA-MRSA prevalence in pig husbandry has not decreased. We performed targeted isolation of bacterial species with potential antagonism against LA-MRSA in pig farms. Duplicate piglet nasal swabs from three European countries (Germany, Ireland and The Netherlands) were taken longitudinally from birth up to 10 weeks, one for amplicon sequencing and qPCR, and the other was cryopreserved for culturing. We identified potential probiotic species by anticorrelation analysis of bacterial abundance from amplicon sequencing data with quantitative S. aureus estimates from qPCR data from the samples. A literature-screen was performed on the species identified, to determine their probiotic potential. Following this, 1302 isolates were grown from selected cryopreserved swabs and identified using MALDI-TOF and additional 16S rRNA gene sequencing to isolate the anticorrelating species. Ninety-five isolates of interest were screened for absence of tetracycline resistance and hemolytic activity and whole genome sequencing was conducted to verify their taxonomy and to assess their AMR and virulence gene profile. Additional phenotypic antimicrobial resistance testing selected three different Lactococcus lactis strains. During an in vitro challenge using spent medium, all three strains demonstrated inhibition against two S. aureus strains. These L. lactis strains may have the ability to be used safely to reduce LA-MRSA carriage in the nasal passages of pigs but further in vivo testing is necessary to confirm this potential. ImportanceAn approach to tackle antimicrobial resistance in livestock is to use competitive exclusion agents. We employed a sequencing guided isolation approach to identify bacterial species with in silico antagonism to livestock-associated Staphylococcus aureus (LA-MRSA) in the nasal microbiome of piglets. Based on this, three Lactococcus lactis isolates were found to be suitable for further probiotic testing. This strategy can be used to effectively identify, isolate, and screen bacteria that live in antagonism with opportunistic pathogens such as LA-MRSA in a complex microbiome.

microbiology↗

Flumequine, a fluoroquinolone in disguise

Fluoroquinolone resistance in E. coli isolates from livestock in Europe remains high even though the EMA restricted fluoroquinolone use in animals. However, flumequine, a quinolone similar to fluoroquinolones, is still used in livestock in the Netherland, Belgium, Greece or France. Therefore, we investigated whether flumequine selects for the same resistance mechanisms in E. coli. To accomplish this, we investigated and enumerated resistant and non-resistant E. coli isolates obtained from caecal fermentation assays and from broilers exposed to different concentrations of flumequine and enrofloxacin. Flumequine usage leads to approximately 3-fold increase of resistant E. coli in the caecal fermentation, comparable with enrofloxacin. After in vitro exposure to flumequine and enrofloxacin we detected the same SNPs (S83L, D87G) in gyrA. Furthermore, the same resistance-causing SNPs were found in phenotypic resistant E. coli isolates from broilers treated with enrofloxacin and flumequine. Flumequine induces similar resistance mechanisms as enrofloxacin and restriction for use should be the same.

microbiology↗

Extended period of selection for antimicrobial resistance due to persistency of antimicrobials in broilers

Antimicrobials can select for antimicrobial resistant bacteria. After treatment the active compound is excreted through urine and faeces. As some antimicrobials are chemically stable and very persistent, recirculation of sub-inhibitory concentrations of antimicrobials may occur due to coprophagic behaviour of animals such as chickens. The persistence of three antimicrobials over time and their potential effects on antimicrobial resistance were determined in four groups of broilers. Groups were left untreated (control) or were treated with amoxicillin (non-persistent), doxycycline or enrofloxacin (persistent). Antimicrobials were extracted from the faecal samples and concentrations were measured by LC-MS/MS. We determined the resistome genotypically using shotgun metagenomics and phenotypically by using Escherichia coli as indicator microorganism. Up to 37 days after treatment, persistent antimicrobials (doxycycline and enrofloxacin) had concentrations in faeces equal to or higher than the minimal selective concentration (MSC), in contrast to the non-persistent (amoxicillin) treatment. The amoxicillin treatment showed a significant difference (p [≤] 0.01 and p [≤] 0.0001) in the genotypic resistance only directly after treatment. On the other hand, the doxycycline treatment showed approximately 52% increase in phenotypic and a significant difference (p [≤] 0.05 and p [≤] 0.0001) in genotypic resistance throughout the trial. Furthermore, the enrofloxacin treatment resulted in a complete enrofloxacin-resistant E. coli population but the quantity of resistance genes was similar to the control group, likely because resistance is mediated by point mutations. Based on our findings, we suggest that persistency of antimicrobials should be taken into consideration in the assessment of priority classification of antimicrobials in livestock.

microbiology↗

The developing pig respiratory microbiome harbours strains antagonistic to common respiratory pathogens

In the global efforts to combat antimicrobial resistance and reduce antimicrobial use in pig production, there is a continuous search for methods to prevent and/or treat infections. Within this scope, we explored the relationship between the developing piglet nasal microbiome and (zoonotic) bacterial pathogens from birth until ten weeks of life. The nasal microbiome of 54 pigs was longitudinally studied over 16 time-points on nine farms in three European countries (Germany, Ireland, and the Netherlands) using amplicon sequencing targeting the V3-V4 16S rRNA region as well as the tuf gene for its Staphylococcal discrimination power. The piglets age, the farm, and the litter affected the nasal microbiome, with piglets age explaining 19% of the variation in microbial composition between samples. Stabilization of the microbiome occurred around two weeks post-weaning. Notably, while opportunistic pathogens were ubiquitously present, they did not cause disease. The piglet nasal microbiome often carried species associated with gut, skin, or vagina, which suggests that contact with the vaginal and faecal microbiomes shape the piglet nasal microbiome. We identified bacterial Co-Abundance Groups (CAGs) of species that were present in the nasal microbiomes in all three countries over time. Anticorrelation between these species and known bacterial pathogens identified strains that might be exploited for pathogen reduction. Further experimental evidence is required to confirm these findings. Overall, this study advances our understanding of the longitudinal development and factors influencing the piglet nasal microbiome, providing insights into its role in health and disease. ImportanceOur study on longitudinal analysis of the developing nasal microbiota of piglets in farms in three European countries showed consistent microbiome compositions and that colonization of porcine pathogens occurred in relation with anticorrelating species. These findings enhance our knowledge of co-colonizing species in the nasal cavity, and the identified microbial interactions can be explored for the development of interventions to control pathogens in porcine husbandry.

microbiology↗

Defining minimal selective concentrations of amoxicillin, doxycycline and enrofloxacin in broiler-derived cecal fermentations by phenotype, microbiome and resistome

Antimicrobial resistance (AMR) is an emerging worldwide problem. Exposure to antimicrobials selects for resistant bacteria which are a health threat for humans and animals. The concentration at which selection for resistant bacteria occurs is often lower than the minimum inhibitory concentration (MIC) and also differs between environments. Defining this minimal selective concentration (MSC) under natural conditions is essential to understand the selective window for resistant bacteria which are exposed to residual antimicrobials in humans, animals and the environment. In this study we estimated the MSCs of three antimicrobial compounds, amoxicillin, doxycycline and enrofloxacin in a complex microbial community by conducting fermentation assays with cecal material derived from broilers. We examined the phenotypic resistance of Escherichia coli, resistome and microbiome after 6 and 30 hours of fermenting in the presence of antimicrobials of interest. The concentrations are 10 to 100 times lower than the epidemiological cut-off values in E. coli for the respective antimicrobials as determined by EUCAST (https://mic.eucast.org/). In contrast to the amoxicillin and doxycycline exposure we could not determine any molecular resistance mechanism in the resistome analysis for the enrofloxacin exposure, likely because they are the result of point mutations. Our findings show at which concentrations there still is selection for AMR bacteria. This knowledge can be used to manage the risk of the emergence of AMR bacteria. ImportanceAntimicrobial resistance is an emerging threat to the health of humans and animals; it might affect economic prosperity in the future. The rise of antimicrobial resistant bacteria is a consequence of the use of antimicrobial compounds in humans and animals which selects for resistant bacteria. It is critical to understand the relation between the concentrations of antimicrobial compounds and their selection for antimicrobial resistant bacteria. In our study we are providing the minimal selective concentrations for amoxicillin, doxycycline and enrofloxacin by using cecal fermentations assays.

microbiology↗

Global diversity of enterococci and description of 18 novel species

Enterococci are commensal gut microbes of most land animals. They diversified over hundreds of millions of years adapting to evolving hosts and host diets. Of over 60 known enterococcal species, Enterococcus faecalis and E. faecium uniquely emerged in the antibiotic era among leading causes of multidrug resistant hospital-associated infection. The basis for the association of particular enterococcal species with a host is largely unknown. To begin deciphering enterococcal species traits that drive host association, and to assess the pool of Enterococcus-adapted genes from which known facile gene exchangers such as E. faecalis and E. faecium may draw, we collected 886 enterococcal strains from nearly 1,000 specimens representing widely diverse hosts, ecologies and geographies. This provided data on the global occurrence and host associations of known species, identifying 18 new species in the process expanding genus diversity by >25%. The novel species harbor diverse genes associated with toxins, detoxification, and resource acquisition. E. faecalis and E. faecium were isolated from a wide diversity of hosts highlighting their generalist properties, whereas most other species exhibited more restricted distributions indicative of specialized host associations. The expanded species diversity permitted the Enterococcus genus phylogeny to be viewed with unprecedented resolution, allowing features to be identified that distinguish its four deeply rooted clades as well as genes associated with range expansion, such as B-vitamin biosynthesis and flagellar motility. Collectively, this work provides an unprecedentedly broad and deep view of the genus Enterococcus, potential threats to human health, and new insights into its evolution. SIGNIFICANCEEnterococci, host-associated microbes that are now leading drug-resistant hospital pathogens, arose as animals colonized land over 400 million years ago. To globally assess the diversity of enterococci now associated with land animals, we collected 886 enterococcal specimens from a wide range of geographies and ecologies, ranging from urban environments to remote areas generally inaccessible to humans. Species determination and genome analysis revealed host associations from generalists to specialists, and identified 18 new species, increasing the genus by over 25%. This added diversity provided greater resolution of the genus clade structure, identifying new features associated with species radiations. Moreover, the high rate of new species discovery shows that tremendous genetic diversity in Enterococcus remains to be discovered.

microbiology↗

Comparing the transmission of carbapenemase-producing and extended-spectrum beta-lactamase-producing Escherichia coli between broiler chickens.

The emergence of carbapenemase-producing Enterobacteriaceae (CPE) is a threat to public health, because of their resistance to clinically important carbapenem antibiotics. The emergence of CPE in meat-producing animals is particularly worrying because consumption of meat contaminated with resistant bacteria similar to CPE, such as extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae, contributed to colonization in humans worldwide. Currently, no data on the transmission of CPE in livestock is available. We performed a transmission experiment to quantify the transmission of CPE between broilers to fill this knowledge gap and to compare the transmission rates of CPE and other antibiotic-resistant E. coli. A total of 180 Ross 308 broiler chickens were distributed on the day of hatch (day 0) over 12 pens. On day 5, half of the chickens in each pen were orally inoculated with 5{middle dot}102 colony-forming units of CPE, ESBL, or chloramphenicol-resistant E. coli (catA1). Amoxicillin drinking water treatment was given twice daily in 6 of the 12 pens from days 2 to 6 to evaluate the effect of antibiotic treatment on the transmission rates. Cloacal swabs of all animals were taken to determine the number of infectious broilers. We used a Bayesian hierarchical model to quantify the transmission of the E. coli strains. E. coli can survive in the environment and serve as a reservoir. Therefore, the susceptible-infectious transmission model was adapted to account for the transmission of resistant bacteria from the environment. In addition, the caecal microbiome was analyzed on day 5 and at the end of the experiment on day 14 to assess the relationship between the caecal microbiome and the transmission rates. The transmission rates of CPE were 52 - 68 per cent lower compared to ESBL and catA1, but it is not clear if these differences were caused by differences between the resistance genes or between the E. coli strains. Differences between the groups in transmission rates and microbiome diversity did not correspond to each other, indicating that differences in transmission rates were probably not caused by major differences in the community structure in the caecal microbiome. Amoxicillin treatment from day 2 to 6 increased the transmission rate more than three-fold in all inoculums. It also increased alpha-diversity compared to untreated animals on day 5, but not on day 14, suggesting only a temporary effect. Future research could incorporate more complex transmission models with different species of resistant bacteria into the Bayesian hierarchical model.

microbiology↗

Development of Kaptive databases for Vibrio parahaemolyticus O- and K-antigen serotyping

Vibrio parahaemolyticus is an important food-borne human pathogen and is divided in 16 O- serotypes and 71 K-serotypes. Agglutination tests are still the gold standard for serotyping, but many V. parahaemolyticus isolates are not typable by agglutination. An alternative for agglutination tests is serotyping using whole genome sequencing data. In this study, V. parahaemolyticus isolates are serotyped and sequenced, and all known and several novel O- and K-loci are identified. We developed Kaptive databases for all O- and K-loci after manual curation of the loci. These Kaptive databases with the identified V. parahaemolyticus O- and K -loci can be used to identify the O- and K-serotypes of V. parahaemolyticus isolates from genome sequences.

microbiology↗

RFPlasmid: Predicting plasmid sequences from short read assembly data using machine learning

Antimicrobial resistance (AMR) genes in bacteria are often carried on plasmids and these plasmids can transfer AMR genes between bacteria. For molecular epidemiology purposes and risk assessment, it is important to know if the genes are located on highly transferable plasmids or in the more stable chromosomes. However, draft whole genome sequences are fragmented, making it difficult to discriminate plasmid and chromosomal contigs. Current methods that predict plasmid sequences from draft genome sequences rely on single features, like k-mer composition, circularity of the DNA molecule, copy number or sequence identity to plasmid replication genes, all of which have their drawbacks, especially when faced with large single copy plasmids, which often carry resistance genes. With our newly developed prediction tool RFPlasmid, we use a combination of multiple features, including k-mer composition and databases with plasmid and chromosomal marker proteins, to predict if the likely source of a contig is plasmid or chromosomal. The tool RFPlasmid supports models for 17 different bacterial species, including Campylobacter, E. coli, and Salmonella, and has a species agnostic model for metagenomic assemblies or unsupported organisms. RFPlasmid is available both as standalone tool and via web interface.

bioinformatics↗

Proficiency of WHO Global Foodborne Infections Network External Quality Assurance System participants in the identification and susceptibility testing of thermo-tolerant Campylobacter spp. from 2003-2012.

Campylobacter spp. are food- and water borne pathogens. While rather accurate estimates for these pathogens are available in industrialized countries, a lack of diagnostic capacity in developing countries limits accurate assessments of prevalence in many regions. Proficiency in the identification and susceptibility testing of these organisms is critical for surveillance and control efforts. The aim of the study was to assess performance for identification and susceptibility testing of thermo-tolerant Campylobacter among laboratories participating in the World Health Organization (WHO) Global Foodborne Infections Network (GFN) External Quality Assurance System (EQAS) over a nine year period.\n\nParticipants (primarily national level laboratories) were encouraged to self-evaluate performance as part of continuous quality improvement.\n\nThe ability to correctly identify Campylobacter spp. varied by year and ranged from 61.9 % (2008) to 90.7 % (2012), and the ability to correctly perform antimicrobial susceptibility testing (AST) for Campylobacter spp. appeared to steadily increase from 91.4 % to 93.6 % in the test period (2009-2012).\n\nPoorest performance (60.0 % correct identification and 86.8 % correct AST results) was observed in African laboratories.\n\nOverall, approximately 10 % of laboratories reported either an incorrect identification or antibiogramme. As most participants were (supra)-national reference laboratories, these data raise significant concerns regarding capacity and proficiency at the local, clinical level. Addressing these diagnostic challenges is critical for both patient level management and broader surveillance and control efforts.

microbiology↗