Biology subjects

Cappio Barazzone, E.

Publications and source records attributed to Cappio Barazzone, E..

6 recordsLinked to original sources

bioRxiv2025

Real-time volatilomics reveals microbiota and pathogen fingerprints in the honey bee

Understanding the complex relationship between gut microbiota and their hosts often relies on invasive sampling techniques. Honey bees provide a tractable model for host-microbe studies. Here we establish single-bee volatilomics using secondary electrospray ionization (SESI-HRMS) to examine volatile organic compounds released to the air around an individual live honey bee. Specifically, we focused on primary gut microbiota metabolites present in gnotobiotic bees. Our findings reveal distinct volatilome profiles in honey bees that depend on their gut bacterial colonization state. We cross-validated our findings using an established metabolomics technique, LC-HRMS, to compare and contrast the metabolites detectable with each mass spectrometry-based method. Finally, we assessed the ability of SESI-HRMS to detect colonization with the bee pathogen S. marcescens. By comparing the volatile signature of this bacterium grown in liquid culture with that of infected honey bee headspace, we identified overlapping compounds, including butane-2,3-diol, that were absent in uninfected bees. SESI-HRMS volatilomics, paired with LC-HRMS, therefore has potential to identify non-invasive biomarkers of bee microbiome composition and infection at the level of individual insects. These biomarkers represent practical targets for the development of simple, field-ready diagnostic tools for monitoring pollinator health.

microbiology↗

bioRxiv2025

The natural diversity of E. coli transporter-dependent capsules

Serotyping of bacteria using genomic information (in silico serotyping) has increasingly replaced serology. However, the E. coli capsule serotyping system has been largely abandoned since the 1990s, leaving gaps in our knowledge of capsule genetics, diversity, distribution, and epidemiology. To address this, we established a definitive genotype-serotype map for 35 serologically identified and structurally characterized transporter-dependent capsules. We then surveyed >37,000 E. coli genomes, cataloging 85 transporter-dependent capsule types (K-types), including 55 novel ones. We leveraged this catalog to develop an in silico serotyping tool, kTYPr, and applied it to curated sets of >25,000 E. coli genomes and metagenome-assembled genomes spanning diverse environmental and clinical sources. We found novel K-types enriched in under-sampled environments and associated with E. coli disease. This research expands our understanding of E. coli surface structures, supporting efforts for precision targeting with phage therapy or vaccines.

microbiology↗

bioRxiv2025

DMB labelling for detection and analysis of capsular polysaccharides

Bacterial capsules are major virulence factors enabling systemic infection by undermining innate and adaptive immunity. Capsular polysaccharides are also the antigen in some of the most successful antibacterial vaccines - including the pneumococcal, neisserial and Hib conjugate vaccines. However, it remains exceptionally challenging to study capsules, primarily due to their high chemical diversity and the limited methods available for their detection and analysis. We describe a robust biochemical method for detection and analysis of ABC transporter-dependent capsular polysaccharides, a major class of capsules that are associated with extraintestinal pathogenic Escherichia coli (ExPEC). The method involves release and fluorescent tagging of polysaccharides from the cell surface. Anion exchange chromatography of labelled samples reveals the presence, relative abundance, and length-distribution of these diverse polysaccharide antigens. The method provides a modern approach to detecting the capsule phenotype, bridging a critical gap left by the decline of serotyping assays. It will enhance our understanding of fundamental capsule biology and advance the development of capsule-targeting vaccines.

biochemistry↗

bioRxiv2023

A rationally designed inactivated Salmonella Typhimurium vaccine induces strong and long-lasting immune responses in pigs

Salmonella enterica subspecies enterica serovar Typhimurium (S.Tm) poses a considerable threat to public health due to its zoonotic potential. Human infections are mostly foodborne, and pork and pork products are ranked among the top culprits for transmission. In addition, the high percentage of antibiotic resistance, especially in monophasic S.Tm, limits treatment options when needed. Better S.Tm control would therefore be of benefit both for farm animals and for safety of the human food chain. A promising pre-harvest intervention is vaccination. In this study we tested safety and immunogenicity of an oral inactivated S.Tm vaccine, which has been recently shown to generate an "evolutionary trap" and to massively reduce S.Tm colonization and transmission in mice. We show that this vaccine is highly immunogenic and safe in post-weaning pigs and that administration of a single oral dose results in a strong and long-lasting serum IgG response. This has several advantages over existing - mainly live - vaccines against S.Tm, both in improved seroconversion and reduced risk of vaccine-strain persistence and reversion to virulence.

immunology↗

bioRxiv2021

ultraID: a compact and efficient enzyme for proximity-dependent biotinylation in living cells

Proximity-dependent biotinylation (PDB) combined with mass spectrometry analysis has established itself as a key technology to study protein-protein interactions in living cells. A widespread approach, BioID, uses an abortive variant of the E. coli BirA biotin protein ligase, a quite bulky enzyme with slow labeling kinetics. To improve PDB versatility and speed, various enzymes have been developed by different approaches. Here we present a novel small-size engineered enzyme: ultraID. We show its practical use to probe the interactome of Argonaute-2 after a 10 min labeling pulse and expression at physiological levels. Moreover, using ultraID, we provide a membrane-associated interactome of coatomer, the coat protein complex of COPI vesicles. To date, ultraID is the smallest and most efficient biotin ligase available for PDB and offers the possibility of investigating interactomes at a high temporal resolution.

biochemistry↗

bioRxiv2021

Accurate de novo identification of biosynthetic gene clusters with GECCO

Biosynthetic gene clusters (BGCs) are enticing targets for (meta)genomic mining efforts, as they may encode novel, specialized metabolites with potential uses in medicine and biotechnology. Here, we describe GECCO (GEne Cluster prediction with COnditional random fields; https://gecco.embl.de), a high-precision, scalable method for identifying novel BGCs in (meta)genomic data using conditional random fields (CRFs). Based on an extensive evaluation of de novo BGC prediction, we found GECCO to be more accurate and over 3x faster than a state-of-the-art deep learning approach. When applied to over 12,000 genomes, GECCO identified nearly twice as many BGCs compared to a rule-based approach, while achieving higher accuracy than other machine learning approaches. Introspection of the GECCO CRF revealed that its predictions rely on protein domains with both known and novel associations to secondary metabolism. The method developed here represents a scalable, interpretable machine learning approach, which can identify BGCs de novo with high precision.

bioinformatics↗