Biology subjects

Vossen, R. H. A. M.

Publications and source records attributed to Vossen, R. H. A. M..

6 recordsLinked to original sources

bioRxiv2026

Characterization of the clade 4 non-toxigenic C. difficile isolate L-NTCD03 carrying the cfr(B) gene

Clostridioides difficile infection (CDI) is a toxin-mediated gastro-intestinal disease. Yet, C. difficile is a phylogenetically diverse species that includes many non-toxigenic strains. In general, these are understudied, despite having significant potential impact for our understanding of the colonization process and as therapeutic modalities. Here, we present an in-depth characterization - including the complete genome sequence - of the non-toxigenic C. difficile strain L-NTCD03. This strain belongs to PCR ribotype 416, clade 4 and multilocus sequence type 39. It is resistant to multiple antimicrobials, but not those used for treatment of CDI. We validated the relevance of the cfr(B) gene from this strain in antimicrobial resistance to clindamycin, linezolid, retapamulin and streptogramin A. We found the L-NTCD03 strain to be non-toxic in various assays. Altogether, L-NTCD03 is a promising candidate for developing into a live biotherapeutic product.

microbiology↗

bioRxiv2024

Metagenomic global survey and in-depth genomic analyses of Ruminococcus gnavus reveal differences across host lifestyle and health status

Ruminococcus gnavus is a highly prevalent gut bacterium (present in >90% of healthy individuals), of which increased abundance is associated with chronic inflammatory diseases, most notably Crohns disease. Nevertheless, its global distribution has not been investigated and little is known about intraspecies genomic variation. Through a large-scale survey of 12,791 gut metagenomes, we recapitulated known associations with metabolic diseases and inflammatory bowel disease. We uncover a higher prevalence and abundance of R. gnavus in Westernized populations and observe relative abundances of up to 83% in newborns and infants. Next, we built a collection of existing and newly cultured R. gnavus isolates (N = 45) from both healthy individuals and Crohns disease patients and subjected these to PacBio circular consensus sequencing to greatly expand the number of complete R. gnavus genomes. Analysis of these genomes as well as publicly available high quality draft genomes (total > 300 genomes) revealed multiple clades which separated Crohns-derived isolates from healthy-derived isolates. Functional analyses of genes predicted to constitute R. gnavus virulence factors could not explain this separation. Bacterial GWAS revealed that Crohns-derived isolates were enriched in genes related to mobile elements and putative mucin foraging. Together, we present one of the largest complete genome collections of any commensal gut microbe and provide novel biological insights into the global distribution and genomic variation of R. gnavus.

microbiology↗

bioRxiv2022

Clostridioides difficile PCR ribotype 151 is polyphyletic and includes pathogenic isolates from cryptic clade C-II with mono-toxin pathogenicity loci that can escape routine diagnostics

We report a patient case with pseudomembranous colitis associated with a mono-toxin producing Clostridioides difficile belonging to the very rarely diagnosed PCR ribotype (RT) 151. The infection was difficult to diagnose, since the isolate and the feces sample tested negative for toxin-encoding genes using a routine commercial test. This prompted us to sequence n = 11 RT151s from various geographical regions to study their genomic characteristics and relatedness. By including whole genome sequence data from other sources, we could further place these isolates into the phylogenetic tree of C. difficile and assign them to their respective clades. These analyses revealed that 1) RT151s are polyphyletic with isolates falling into clades 1, and cryptic clades C-I and C-II 2) RT151 contains both non-toxigenic and toxigenic isolates and 3) RT151 C-II isolates contained mono-toxin pathogenicity loci (PaLoc). Additional analysis with PacBio circular consensus sequencing revealed that the isolate from our patient case report contains a novel PaLoc insertion site, lacked tcdA and a had significantly divergent tcdB sequence that might explain the failure of the diagnostic test. The study is noteworthy as 1) RT151 encompasses both typical and cryptic clades and 2) conclusive evidence for CDI due to clade C-II isolates was hitherto lacking.

microbiology↗

bioRxiv2022

Carriage of three plasmids in a single human clinical isolate of Clostridioides difficile

A subset of clinical isolates of Clostridioides difficile contains one or more plasmids and these plasmids can harbor virulence and antimicrobial resistance determinants. Despite their potential importance, C. difficile plasmids remain poorly characterized. Here, we describe a human clinical isolate that carries three plasmids from three different plasmid families that are therefore compatible. For two of these, we identify a region capable of sustaining plasmid replication in C. difficile. Together, our data advance our understanding of C. difficile plasmid biology. HighlightsThe complete circular genome sequence is provided for a C. difficile isolate harboring three plasmids These three plasmids (pJMR5-1, pJMR5-4 and pJRM5-W) are therefore compatible in a single strain Sequence analysis suggest a modular nature of plasmid families to which the pJMR-plasmids belong A functional replicon was cloned from pJMR5-1 (pCD-ECE1 family) and pJMR5-W (pCD-WTSI1 family) and plasmids carrying this replicon are compatible with plasmid pCD630

microbiology↗

bioRxiv2020

A unifying model to predict variable drug response for personalised medicine

Pharmacogenomics is a key component of personalized medicine. It promises a safer and more effective drug treatment by individualizing the choice of drug and dose based on an individuals genetic profile1,2. The majority of commonly prescribed drugs are metabolized by a small set of Cytochrome P450 (CYP) enzymes3. In clinical practice, genetic biomarkers are being used to categorize patients into predefined *-alleles to predict CYP450 enzyme activity and adjust drug dosages accordingly. Yet, this approach has important limitations as it leaves a large part of variability in drug response unexplained4,5. Here, we present a novel approach and introduce a continuous scale (instead of categorical) assignments to predict metabolic enzyme activity. The proposed strategy uses full gene sequencing data, a neural network model and CYP2D6 mediated tamoxifen metabolism from a prospective study of 561 breast cancer patients. The model explains 79% of the interindividual variability in CYP2D6 activity compared to 54% with the conventional approach. It is capable of assigning accurate enzyme activity to alleles containing previously uncharacterized combinations of variants and were replicated in an independent cohort of tamoxifen treated patients, a cohort of Venlafaxine users as well as in vitro functional assays using HEK cells. These results demonstrate the advantage of a continuous scale and a completely phased genotype for prediction of CYP450 enzyme activity and thereby enables more accurate prediction of individual drug response.

pharmacology and toxicology↗

bioRxiv2019

Reference-free resolution of long-read metagenomic data

BackgroundRead binning is a key step in proper and accurate analysis of metagenomics data. Typically, this is performed by comparing metagenomics reads to known microbial sequences. However, microbial communities usually contain mixtures of hundreds to thousands of unknown bacteria. This restricts the accuracy and completeness of alignment-based approaches. The possibility of reference-free deconvolution of environmental sequencing data could benefit the field of metagenomics, contributing to the estimation of metagenome complexity, improving the metagenome assembly, and enabling the investigation of new bacterial species that are not visible using standard laboratory or alignment-based bioinformatics techniques.\n\nResultsHere, we apply an alignment-free method that leverages on k-mer frequencies to classify reads within a single long read metagenomic dataset. In addition to a series of simulated metagenomic datasets, we generated sequencing data from a bioreactor microbiome using the PacBio RSII single-molecule real-time sequencing platform. We show that distances obtained after the comparison of k-mer profiles can reveal relationships between reads within a single metagenome, leading to a clustering per species.\n\nConclusionsIn this study, we demonstrated the possibility to detect substructures within a single metagenome operating only with the information derived from the sequencing reads. The obtained results are highly important as they establish a principle that might potentially expand the toolkit for the detection and investigation of previously unknow microorganisms.

bioinformatics↗