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Wiedmann, M.

Publications and source records attributed to Wiedmann, M..

26 records · Page 2Linked to original sources

Terrestrial landscape impacts the biogeographic pattern of soil Escherichia coli via altering the strength of environmental selection and dispersal

High-quality habitats for wildlife (e.g., forest) provide essential ecosystem services while increasing species diversity and habitat connectivity. Unfortunately, presence of such habitats adjacent to produce fields may increase risk for contamination of fruits and vegetables by enteric bacteria, including Escherichia coli. E. coli survives in extra-host environments (e.g., soil) and could disperse across landscapes by wildlife. Understanding how terrestrial landscapes impact the distribution of soil E. coli is of importance in assessing the contamination risk of agricultural products. Here, using multi-locus sequence typing, we characterized 938 E. coli soil isolates collected from two watersheds with different landscape patterns in New York state, USA, and compared the distribution of E. coli and the influence of two ecological forces (environmental selection and dispersal) on the distribution between these two watersheds. Results showed that for the watershed with widespread produce fields, sparse forests, and limited interaction between the two land-use types, E. coli composition was significantly different between produce field sites and forest sites; this distribution was shaped by relatively strong environmental selection likely from soil phosphorus and slight dispersal limitation. For the watershed with more forested areas and stronger interaction between produce field sites and forest sites, E. coli composition between these two land-use types was relatively homogeneous; this distribution appeared to a consequence of wildlife-driven dispersal, inferred by competing models. Collectively, our results suggest that terrestrial landscape attributes could impact the biogeographic pattern of enteric bacteria by adjusting the importance of environmental selection and dispersal. IMPORTANCEUnderstanding the ecology of enteric bacteria in extra-host environments is important to allow for development and implementation of strategies to minimize pre-harvest contamination of produce with enteric pathogens. Our findings suggest that watershed landscape is an important factor influencing the importance of ecological drivers and dispersal patterns of E. coli. For watersheds with widespread produce fields, E. coli appears to experience local adaptation, possibly due to exposure to environmental stresses associated with agricultural activities. In contrast, for watersheds with high forest coverage we found evidence for wildlife-driven dispersal of E. coli, which might facilitate more frequent genetic exchange in this environment. Agricultural areas in such watersheds may have a higher risk of produce contamination due to less environmental constraints and higher potential of dispersal of enteric bacteria between locations. The significance of our research lies in exploring ecological principles underlying the biogeographic pattern of enteric bacteria at the regional level, which can inform agricultural, environmental and public health scientists that aim to reduce the risk of food contamination by enteric bacteria.

ecology↗

Cereulide synthetase acquisition and loss events within the evolutionary history of Group III Bacillus cereus sensu lato facilitate the transition between emetic and diarrheal foodborne pathogen

Cereulide-producing members of Bacillus cereus sensu lato (B. cereus s.l.) Group III, also known as "emetic B. cereus", possess cereulide synthetase, a plasmid-encoded, non-ribosomal peptide synthetase encoded by the ces gene cluster. Despite the documented risks that cereulide-producing strains pose to public health, the level of genomic diversity encompassed by "emetic B. cereus" has never been evaluated at a whole-genome scale. Here, we employ a phylogenomic approach to characterize Group III B. cereus s.l. genomes which possess ces (ces-positive) alongside their closely related ces-negative counterparts to (i) assess the genomic diversity encompassed by "emetic B. cereus", and (ii) identify potential ces loss and/or gain events within the evolutionary history of the high-risk and medically relevant sequence type (ST) 26 lineage often associated with emetic foodborne illness. Using all publicly available ces-positive Group III B. cereus s.l. genomes and the ces-negative genomes interspersed among them (n = 150), we show that "emetic B. cereus" is not clonal; rather, multiple lineages within Group III harbor cereulide-producing strains, all of which share a common ancestor incapable of producing cereulide (posterior probability [PP] 0.86-0.89). The ST 26 common ancestor was predicted to have emerged as ces-negative (PP 0.60-0.93) circa 1904 (95% highest posterior density [HPD] interval 1837.1-1957.8) and first acquired the ability to produce cereulide before 1931 (95% HPD 1893.2-1959.0). Three subsequent ces loss events within ST 26 were observed, including among isolates responsible for B. cereus s.l. toxicoinfection (i.e., "diarrheal" illness). Importance"B. cereus" is responsible for thousands of cases of foodborne disease each year worldwide, causing two distinct forms of illness: (i) intoxication via cereulide (i.e., "emetic" syndrome) or (ii) toxicoinfection via multiple enterotoxins (i.e., "diarrheal" syndrome). Here, we show that "emetic B. cereus" is not a clonal, homogenous unit that resulted from a single cereulide synthetase gain event followed by subsequent proliferation; rather, cereulide synthetase acquisition and loss is a dynamic, ongoing process that occurs across lineages, allowing some Group III B. cereus s.l. populations to oscillate between diarrheal and emetic foodborne pathogen over the course of their evolutionary histories. We also highlight the care that must be taken when selecting a reference genome for whole-genome sequencing-based investigation of emetic B. cereus s.l. outbreaks, as some reference genome selections can lead to a confounding loss of resolution and potentially hinder epidemiological investigations.

microbiology↗

Comparative genomics reveals different population structures associated with host and geographic origin in antimicrobial-resistant Salmonella enterica

Genetic variation in a pathogen, including the causative agent of salmonellosis, Salmonella enterica, can occur as a result of eco-evolutionary forces triggered by dissimilarities of ecological niches. Here, we applied comparative genomics to study 90 antimicrobial resistant (AMR) S. enterica isolates from bovine and human hosts in New York state and Washington state to understand host- and geographic-associated population structure. Results revealed distinct presence/absence profiles of functional genes and pseudogenes (e.g., virulence genes) associated with bovine and human isolates. Notably, bovine isolates contained significantly more transposase genes but fewer transposase pseudogenes than human isolates, suggesting the occurrence of large-scale transposition in genomes of bovine and human isolates at different times. The high correlation between transposase genes and AMR genes, as well as plasmid replicons, highlights the potential role of horizontally transferred transposons in promoting adaptation to antibiotics. By contrast, a number of potentially geographic-associated single-nucleotide polymorphisms (SNPs), rather than geographic-associated genes, were identified. Interestingly, 38% of these SNPs were in genes annotated as cell surface protein-encoding genes, including some essential for antibiotic resistance and host colonization. Overall, different evolutionary forces and limited recent inter-population transmission appear to shape AMR S. enterica population structure in different hosts and geographic origins. Originality/Significance StatementSalmonella enterica, which is the causative agent of salmonellosis, poses a growing public health concern due to the emergence and spread of antimicrobial resistant (AMR) strains. The mechanisms underlying the population structure associated with different hosts and geographic origins of AMR S. enterica are underexplored due to limited genome-wide studies assessing the impact of ecological niches on genetic variations. By employing comparative genomics, our study provided insights into the genomic profiles of AMR S. enterica associated with two distinct hosts and two distant geographic locations, improving the mechanistic understanding of how bacterial population structure is shaped by different ecological niches. Our findings have broad implications for elucidating the impact of ecological and evolutionary forces on the adaptation, antimicrobial resistance, and pathogenicity of bacteria. Also, specific genetic markers we identified may help predict host or geographic origin of AMR Salmonella isolates, which could benefit the source tracking (e.g., host and geographic origins) of human disease cases and contamination events caused by AMR S. enterica.

microbiology↗

Complex interactions between weather, and microbial and physiochemical water quality impact the likelihood of detecting foodborne pathogens in agricultural water

Agricultural water is an important source of foodborne pathogens on produce farms. Managing water-associated risks does not lend itself to one-size-fits-all approaches due to the heterogeneous nature of freshwater environments, and because environmental conditions affect the likelihood of pathogen contamination and the relationship between indicator organism levels (e.g., E. coli) and pathogen presence. To improve our ability to develop location-specific risk management practices, a study was conducted in two produce-growing regions to (i) characterize the relationship between E. coli levels and pathogen presence in agricultural water, and (ii) identify environmental factors associated with pathogen detection. Three AZ and six NY waterways were sampled longitudinally using 10-L grab samples (GS) and 24-h Moore swabs (MS). Regression showed that the likelihood of Salmonella detection (Odds Ratio [OR]=2.18), and eaeA-stx codetection (OR=6.49) was significantly greater for MS compared to GS, while the likelihood of detecting L. monocytogenes was not. Regression also showed that eaeA-stx codetection in AZ (OR=50.2) and NY (OR=18.4), and Salmonella detection in AZ (OR=4.4) were significantly associated with E. coli levels, while Salmonella detection in NY was not. Random forest analysis indicated that interactions between environmental factors (e.g., rainfall, temperature, turbidity) (i) were associated with likelihood of pathogen detection and (ii) mediated the relationship between E. coli levels and likelihood of pathogen detection. Our findings suggest that (i) environmental heterogeneity, including interactions between factors, affects microbial water quality, and (ii) E. coli levels alone may not be a suitable indicator of the food safety risks. Instead, targeted methods that utilize environmental and microbial data (e.g., models that use turbidity and E. coli levels to predict when there is a high or low risk of surface water being contaminated by pathogens) are needed to assess and mitigate the food safety risks associated with preharvest water use. By identifying environmental factors associated with an increased likelihood of detecting pathogens in agricultural water, this study provides information that (i) can be used to assess when pathogen contamination of agricultural water is likely to occur, and (ii) facilitate development of targeted interventions for individual water sources, providing an alternative to existing one-size-fits-all approaches.

microbiology↗

Proposal of a taxonomic nomenclature for the Bacillus cereus group which reconciles genomic definitions of bacterial species with clinical and industrial phenotypes

The Bacillus cereus group comprises numerous closely related species, including bioterrorism agent B. anthracis, foodborne pathogen B. cereus, and biopescticide B. thuringiensis. Differentiating organisms capable of causing illness or death from those used in industry is essential for risk assessment and outbreak preparedness. However, current species definitions facilitate species-phenotype incongruencies, particularly when horizontally acquired genes are responsible for a phenotype. Using all publicly available B. cereus group genomes (n = 2,231), we show that current genomospecies definitions lead to overlapping species clusters, and that an average nucleotide identity (ANI) genomospecies threshold of {approx}92.5 reflects a natural gap in core genome similarity. We propose a taxonomy for the B. cereus group which accounts for (i) genomospecies using separable species clusters formed at a threshold of {approx}92.5 ANI, and (ii) phenotypes relevant to public health and industry. We anticipate that the proposed nomenclature will remain interpretable to clinicians, without sacrificing genomic species definitions, which can in turn aid in pathogen surveillance, early detection of emerging, high-risk genotypes, and outbreak preparedness. Furthermore, the nomenclatural framework outlined here serves as a model for genomics-based bacterial taxonomy which moves beyond arbitrarily set genomospecies thresholds, while maintaining congruence with phenotypes and historically important species names.

microbiology↗

The Typhoid Toxin Produced by the Nontyphoidal Salmonella Serovar Javiana Can Utilize Multiple Binding Subunits, which Compete for Inclusion in the Holotoxin

Salmonella enterica encodes a wide array of virulence factors. One novel virulence factor, a DNA-damaging toxin known as the typhoid toxin (TT), was recently characterized in >40 nontyphoidal Salmonella (NTS) serovars. Interestingly, these NTS serovars, including S. enterica subsp. enterica serovar Javiana, also encode artB, a homolog of the binding subunit (PltB) of the TT. Here, we show that ArtB and PltB compete for inclusion in the pentameric binding subunit of the TT. Using a combination of in silico modeling, a bacterial two-hybrid system expressed in S. Javiana, and tandem affinity purification (TAP) of the holotoxin subunits, we show that ArtB and PltB interact in vivo. Furthermore, binding subunits composed of homo- and heteropentamers of ArtB and PltB are able to associate with CdtB and PltA to form biologically active toxins. As artB was, (i) conserved among S. Javiana isolates, and (ii) co-expressed with pltB and cdtB under Mg2+-limiting conditions, we hypothesized that ArtB and PltB compete for inclusion in the binding subunit. Using a novel competition assay, we show that PltB outcompetes ArtB for inclusion in the binding subunit, when cultured at neutral pH. Together, our results suggest that the TT produced by S. Javiana utilizes multiple configurations of the binding subunit, representing a novel toxin form and adaptation mechanism for the AB5 toxin family. Our work suggests that Salmonella serovars, including S. Javiana, evolved to encode and maintain multiple binding subunits that can be used to form an active toxin, which may enhance the variety of cells, tissues, or hosts susceptible to this novel form of the TT.

microbiology↗

Identification of novel mobilized colistin resistance gene mcr-9 in a multidrug-resistant, colistin-susceptible Salmonella enterica serotype Typhimurium isolate using a combination of high-throughput, in silico screening and functional analysis

Mobilized colistin resistance (mcr) genes are plasmid-borne genes that confer resistance to colistin, an antibiotic used to treat severe bacterial infections. To date, eight known mcr homologues have been described (mcr-1 to -8). Here, we describe mcr-9, a novel mcr homologue, detected in a Salmonella enterica serotype Typhimurium (S. Typhimurium) genome using an in silico approach, followed by experimental functional analysis. The amino acid sequence of mcr-9, detected in a multidrug resistant (MDR) S. Typhimurium strain isolated from a human patient in Washington State in 2010, most closely resembled mcr-3, aligning with 64.5% amino acid identity and 99.5% coverage using translated nucleotide blast. The S. Typhimurium strain was tested for phenotypic resistance to colistin and was found to be sensitive at the 2 mg/L European Committee on Antimicrobial Susceptibility Testing breakpoint under the tested conditions. To determine whether it was capable of conferring resistance to colistin when expressed in a heterologous host, mcr-9 was cloned in colistin-susceptible Escherichia coli NEB5 under an IPTG-induced promoter. Expression of mcr-9 conferred resistance to colistin in E. coli NEB5 at 1, 2, and 2.5 mg/L colistin, albeit at a lower level when compared to mcr-3. Pairwise comparisons of the predicted protein structures associated with all nine mcr homologues (Mcr-1 to -9) revealed that Mcr-9, Mcr-3, and Mcr-7 share a high degree of similarity at the structural level. The results of our approach indicate that mcr-9 is capable of conferring phenotypic resistance to colistin in Enterobacteriaceae and should be immediately considered when monitoring plasmid-mediated colistin resistance. Importance: Colistin is a last-resort antibiotic that is used to treat severe infections caused by MDR and extensively drug resistant (XDR) bacteria. The World Health Organization (WHO) has designated colistin as a Highest Priority Critically Important Antimicrobial for human medicine (WHO, Critically Important Antimicrobials for Human Medicine, 5th Revision, 2017), as it is often one of the only therapies available for treating serious bacterial infections in critically ill patients. Plasmid-borne mcr genes that confer resistance to colistin pose a threat to public health at an international scale, as they can be transmitted via horizontal gene transfer and have the potential to spread globally. Therefore, the establishment of a complete reference of mcr genes that can be used to screen for plasmid-mediated colistin resistance is essential for developing effective control strategies.

microbiology↗

Characterization of emetic and diarrheal Bacillus cereus strains from a 2016 foodborne outbreak using whole-genome sequencing: addressing the microbiological, epidemiological, and bioinformatic challenges

The Bacillus cereus group comprises multiple species capable of causing emetic or diarrheal foodborne illness. Despite being responsible for tens of thousands of illnesses each year in the U.S. alone, whole-genome sequencing (WGS) has not been routinely employed to characterize B. cereus group isolates from foodborne outbreaks. Here, we describe the first WGS-based characterization of isolates linked to an outbreak caused by members of the B. cereus group. In conjunction with a 2016 outbreak traced to a supplier of refried beans served by a fast food restaurant chain in upstate New York, a total of 33 B. cereus group strains were obtained from human cases (n =7) and food samples (n = 26). Emetic (n = 30) and diarrheal (n = 3) isolates were most closely related to B. paranthracis (clade III) and B. cereus sensu stricto (clade IV), respectively. WGS indicated that the 30 emetic isolates (24 and 6 from food and humans, respectively) were closely-related and formed a well-supported clade relative to publicly-available emetic clade III genomes with an identical sequence type (ST 26). When compared to publicly-available emetic clade III ST 26 B. cereus group genomes, the 30 emetic clade III isolates from this outbreak differed from each other by a mean of 8.3 to 11.9 core single nucleotide polymorphisms (SNPs), while differing from publicly-available genomes by a mean of 301.7 to 528.0 core SNPs, depending on the SNP calling methodology used. Using a WST-1 cell proliferation assay, the strains isolated from this outbreak had only mild detrimental effects on HeLa cell metabolic activity compared to reference diarrheal strain B. cereus ATCC 14579. Based on both WGS and epidemiological data, we hypothesize that the outbreak was a single source outbreak caused by emetic clade III B. cereus belonging to the B. paranthracis species. In addition to showcasing how WGS can be used to characterize B. cereus group strains linked to a foodborne outbreak, we also discuss potential microbiological and epidemiological challenges presented by B. cereus group outbreaks, and we offer recommendations for analyzing WGS data from the isolates associated with them.

microbiology↗