Biology subjects

Zoccaratto, L.

Publications and source records attributed to Zoccaratto, L..

3 recordsLinked to original sources

bioRxiv2026

Giant bacteria in gut microbiomes

The advent of sequencing-based omics has transformed our understanding of the gut microbiome, enabling microbial communities to be characterised at unprecedented scale and resolution. However, these approaches provide limited information about cellular traits such as size and morphology. Giant bacteria remain largely overlooked in gut microbiome research, despite their extraordinary cell size, extreme polyploidy and unusual reproductive strategies. Epulopiscium, one of the largest known heterotrophic bacteria, has been studied primarily as an intestinal symbiont of surgeonfish, leaving its broader host range unresolved. Here we show, by a large-scale analysis of publicly available 16S ribosomal RNA amplicon samples, alongside locally collected human samples, that Epulopiscium spp. occur across diverse hosts, including humans and a broad diversity of animals. Full-length 16S rRNA gene phylogenies resolved multiple Epulopiscium-related lineages with distinct host compositions. Among human samples, Epulopiscium sequences were most abundant during the first year of life. In adults, abundance varied across disease states, increasing in inflammatory bowel disease and colorectal cancer while decreasing in neurological conditions compared with a healthy adult baseline. Similar patterns were also observed in mouse models. Our study broadens the known host range of Epulopiscium and establishes giant bacteria as an overlooked component of gut microbiome diversity. These findings highlight the need to combine sequence-based studies with classical microbiological techniques to identify organisms with unique traits, otherwise hidden by taxonomy or phylogeny.

microbiology↗

bioRxiv2025

Biological insights and methodological challenges learned from working with a diverse heterotrophic marine bacterial library

BackgroundOrganized collections of bacterial strains can help bridge the gap between studying model organisms and communities, through comparative experiments between genetically and phenotypically diverse strains. We describe the establishment and initial characterization of a library of 62 marine heterotrophic bacteria, selected to represent a significant fraction of the genome-encoded functional diversity and a wide range of known phytoplankton-bacteria interactions. We focus on important but often undiscussed aspects of collecting and maintaining such a library, verifying strain identity, and applying classical microbiological methods across diverse strains. ResultsCultured strains contain up to hundreds of mutations compared with the reference genomes, with non-synonymous mutations in rpoB and/or rpoC genes observed in [~]15% of the cultures. Most strains grow well at 25{degrees}C, but the dependence of growth rate on temperature and the width of the temperature niche vary between strains in a systematic manner. We describe steps towards designing a universal, defined, minimal media for marine bacteria, revealing that growth inhibition on amino acids and peptides by carbohydrates is widespread. Cell counts obtained from flow cytometry and colony plating differ systematically, as do different methods to assess motility. Finally, we discuss traits potentially related to microbial interactions such as hemolysis, biofilm formation, and antibiotic resistance. Gammaproteobacteria such as Alteromonas, Pseudoalteromonas, and Vibrio reveal consistently robust growth, and activity, perhaps explaining why these clades are well-explored. ConclusionExplicitly discussing the insights and challenges of working with strain libraries will pave the way to robust, reproducible, and generalizable mapping of bacterial traits across diversity.

microbiology↗

bioRxiv2023

Collaborative metabolic curation of an emerging model marine bacterium, Alteromonas macleodii ATCC 27126

Inferring the metabolic capabilities of an organism from its genome is a challenging process, relying on computationally-derived or manually curated metabolic networks. Manual curation can correct mistakes in the draft network and add missing reactions based on the literature, but requires significant expertise and is often the bottleneck for high-quality metabolic reconstructions. Here, we present a synopsis of a community curation workshop for the emerging model marine bacterium Alteromonas macleodii ATCC 27126 and its genome database in BioCyc, focusing on pathways for utilizing organic carbon and nitrogen sources. Due to the scarcity of biochemical information or gene knock-outs, the curation process relied primarily on published growth phenotypes and bioinformatic analyses, including comparisons with related Alteromonas strains. We report full pathways for the utilization of the algal polysaccharides alginate and pectin in contrast to inconclusive evidence for one carbon metabolism and mixed acid fermentation, in accordance with the lack of growth on methanol and formate. Pathways for amino acid degradation are ubiquitous across Alteromonas macleodii strains, yet enzymes in the pathways for the degradation of threonine, tryptophan and tyrosine were not identified. Nucleotide degradation pathways are also partial in ATCC 27126. We postulate that demonstrated growth on nitrate as sole N source proceeds via a nitrate reductase pathway that is a hybrid of known pathways. Our evidence highlights the value of joint and interactive curation efforts, but also shows major knowledge gaps regarding Alteromonas metabolism. The manually-curated metabolic reconstruction is available as a "Tier-2" database on BioCyc. ImportanceMetabolic reconstructions are vital for the systemic understanding of an organisms ecology. Here, we report the outcome of a collaborative, interactive curation workshop to build a curated "metabolic encyclopedia" for Alteromonas macleodii ATCC 27126, a marine heterotrophic bacterium with widespread occurrence. Curating pathways for polysaccharide degradation, one-carbon metabolism, and others closed major knowledge gaps, and identified further avenues of research. Our study highlights how the combination of bioinformatic, genomic and physiological evidence can be harvested into a detailed metabolic model, but also identifies challenges if little experimental data is available for support. Overall, we show how an interactive get-together by a diverse group of scientists can advance the ecological understanding of emerging model bacteria, with relevance for the entire scientific community.

microbiology↗