Biology subjects

Dugat-Bony, E.

Publications and source records attributed to Dugat-Bony, E..

6 recordsLinked to original sources

bioRxiv2026

Evidence of active phage replication during vegetable fermentation and implications for the dynamics of bacterial communities

Spontaneous vegetable fermentation is driven by the indigenous microbiota associated with the raw ingredients. The process often involves an initial heterofermentative phase followed by a predominantly homofermentative phase, both ensured by lactic acid bacteria (LAB). While microbial dynamics during fermentation are well characterized, phage communities remain poorly understood, despite evidence linking phage activity to LAB succession. We monitored viral and bacterial succession during sauerkraut and carrot fermentations using a metagenomics approach to characterize community dynamics. To further assess the impact of phage PLE001 on bacterial community dynamics, we developed a simplified carrot fermentation model comprising representative strains of Rahnella aquatilis, Leuconostoc mesenteroides and Lactiplantibacillus plantarum. Two consortia were assembled: one containing the PLE001-susceptible strain L. mesenteroides CIM3004, and the other containing also its phage-resistant derivative, CIM3004 BIM. We observed major shifts in the viral community during the first week of fermentation, coinciding with changes in bacterial structure during hetero- and homofermentative phases transition. In the simplified model, phage PLE001 reduced the population of the host during the heterofermentative phase but did not affect overall fermentation dynamics nor metabolite production. These results suggest that bacteriophages contribute to bacterial succession during fermentation, while communities remain resilient to phage infection, preserving fermentation stability.

microbiology↗

bioRxiv2026

Evaluation of growth and enzymatic characteristics of wild-type Yarrowia lipolytica strains

Yarrowia lipolytica is a yeast of industrial interest exhibiting remarkable lipolytic and proteolytic capacities, with a high potential for white biotechnology applications. This yeast can be isolated from a wide range of natural, polluted or anthropogenic environments, including various food products. The present study aims to increase the data on Y. lipolytica phenotypic diversity by evaluating the growth parameters and secreted enzymatic activities of 28 wild-type Y lipolytica (and Yarrowia sp.) strains isolated from various environments across 10 countries. These data could facilitate the selection of appropriate strains for specific research purposes, particularly when wild-type strains are prioritized over genetically engineered ones, like for food-related applications. Notably, strain SWJ-1b exhibited an outstanding combination of favourable characteristics, with optimum (or near) performances for both growth and enzymatic parameters.

microbiology↗

bioRxiv2025

Scratching on French PDO cheese surfaces sheds light on an unexplored microbial genomic and metabolic diversity

Cheeses are fermented dairy products consumed worldwide. Their global diversity results from various local variables, including technological practices, as well as the metabolic activity of diverse microorganisms. In Europe, this typicity is exemplified by Protected Designation of Origin (PDO) cheeses, for which genetic diversity remains largely unexplored. Combining culturomics (n = 373 bacterial genomes) and metagenomic (n = 146 metagenomes), we performed a national-scale survey of the microbial diversity encompassing 44 French PDO cheeses. Taxonomic (bacteria, fungi and viruses) and functional profiling reveal a high diversity in the cheese rind, mainly driven by the cheese technology. We also reconstructed 1,119 bacterial metagenome-assembled genomes (MAGs) encompassing seven phyla, including Actinomycetota, Bacillota, Pseudomonadota and Bacteroidota. Using GTDB as a reference, we identified 221 MAGs encompassing 46 genera, as well as 44 bacterial isolate genomes encompassing eight genera, which represent potentially 81 new species (based on <95% ANI). These species were particularly numerous among the genera Halomonas, Psychrobacter and Brachybacterium. Similar results were observed when compared with the cFMD database. We combined our genomic and metagenomic datasets into a catalog of 26.2 million protein clusters, with 50% of these clusters remaining unassigned to a known function and taxonomy. We illustrated the potential of this resource by searching for methionine gamma-lyase (MGL), an enzyme playing a significant role in cheese flavor. This protein was predominantly found in Pseudoalteromonas, a potentially new MGL-producing genus, Serratia, Pseudomonas, Proteus and Hafnia, and its prevalence varied with cheese technology. Our study provides a substantial genomic resource for food microbiologists and cheesemakers to further explore the biotechnological potential of PDO cheese biodiversity.

microbiology↗

bioRxiv2023

Dynamics of the viral community on the cheese surface during maturation and persistence across production years

The surface of smear-ripened cheeses constitutes a dynamic microbial ecosystem resulting from the successive development of different microbial groups such as lactic acid bacteria, fungi and ripening bacteria. Recent studies indicate that a viral community, mainly composed of bacteriophages, also represents a common and substantial part of the cheese microbiome. However, the composition of this community, its temporal variations and associations between bacteriophages and their hosts remain poorly characterized. Here, we studied a French smear-ripened cheese by both viral metagenomics and 16S metabarcoding approaches to assess both the succession of phages and bacterial communities on the cheese surface during cheese ripening, and their temporal variations in ready-to-eat cheeses over the years of production. We observed a clear transition of the phage community structure during ripening with a decreased relative abundance of viral species (vOTUs) associated with Lactococcus phages, which were replaced by vOTUs associated with phages infecting ripening bacteria such as Brevibacterium, Glutamicibacter, Pseudoalteromonas and Vibrio. The dynamics of the phage community was strongly associated with bacterial successions observed on the cheese surface. Finally, while some variations in the distribution of phages were observed in ready-to-eat cheeses produced at different dates spanning more than 4 years of production, the most abundant phages were detected throughout. This result revealed the long-term persistence of the dominant phages in the cheese production environment. Together, these findings offer novel perspectives on the ecology of bacteriophages in smear-ripened cheese and emphasize the significance of incorporating bacteriophages in the microbial ecology studies of fermented foods. IMPORTANCEThe succession of diverse microbial populations is critical for ensuring the production of high-quality cheese. We observed a temporal succession of phages on the surface of a smear-ripened cheese, with new phage communities showing up at the time when ripening bacteria start covering this surface. Interestingly, the final phage community of this cheese is also consistent over large periods of time, as the same bacteriophages were found in cheese products from the same manufacturer made over 4-years. This research highlights the importance of considering these bacteriophages when studying the microbial life of fermented foods like cheese.

microbiology↗

bioRxiv2023

Comparison of metabarcoding taxonomic markers to describe fungal communities in fermented foods

AO_SCPLOWBSTRACTC_SCPLOWNext generation sequencing offers several ways to study microbial communities. For agri-food sciences, identifying species in diverse food ecosystems is key for both food sustainability and food security. The aim of this study was to compare metabarcoding pipelines and markers to determine fungal diversity in food ecosystems, from Illumina short reads. We built mock communities combining the most representative fungal species in fermented meat, cheese, wine and bread. Four barcodes (ITS1, ITS2, D1/D2 and RPB2) were tested for each mock and on real fermented products. We created a database, including all mock species sequences for each barcode to compensate for the lack of curated data in available databases. Four bioinformatics tools (DADA2, QIIME, FROGS and a combination of DADA2 and FROGS) were compared. Our results clearly showed that the combined DADA2 and FROGS tool gave the most accurate results. Most mock community species were not identified by the RPB2 barcode due to unsuccessful barcode amplification. When comparing the three rDNA markers, ITS markers performed better than D1D2, as they are better represented in public databases and have better specificity to distinguish species. Between ITS1 and ITS2, differences in the best marker were observed according to the studied ecosystem. While ITS2 is best suited to characterize cheese, wine and fermented meat communities, ITS1 performs better for sourdough bread communities. Our results also emphasized the need for a dedicated database and enriched fungal-specific public databases with novel barcode sequences for 118 major species in food ecosystems.

microbiology↗

bioRxiv2018

Viral metagenomic analysis of the cheese surface: a comparative study of rapid procedures for extracting virus-like particles

The structure and functioning of microbial communities from fermented foods, including cheese, have been extensively studied during the past decade. However, there is still a lack of information about both the occurrence and the role of viruses in modulating the function of this type of spatially structured and solid ecosystems. Viral metagenomics was recently applied to a wide variety of environmental samples and standardized procedures for recovering virus-like particles from different type of materials has emerged. In this study, we adapted a procedure originally developed to extract viruses from fecal samples, in order to enable efficient virome analysis of cheese surface. We tested and validated the positive impact of both addition of a filtration step prior to virus concentration and substitution of purification by density gradient ultracentrifugation by a simple chloroform treatment to eliminate membrane vesicles. Viral DNA extracted from the several procedures, as well as a vesicle sample, were sequenced using Illumina paired-end MiSeq technology and the subsequent clusters assembled from the virome were analyzed to assess those belonging to putative phages, plasmid-derived DNA, or even from bacterial chromosomal DNA. The best procedure was then chosen, and used to describe the Epoisses cheese virome. This study provides the basis of future investigations regarding the ecological importance of viruses in cheese microbial ecosystems.\n\nIMPORTANCEWhether bacterial viruses (phages) are necessary or not to maintain food ecosystem function is not clear. They could play a negative role by killing cornerstone species that are necessary for fermentation. But they might also be positive players, by preventing the overgrowth of unwanted species (e.g. food spoilers). To assess phages contribution to food ecosystem functioning, it is essential to set up efficient procedures for extracting viral particles in solid food matrix, then selectively sequence their DNA without being contaminated by bacterial DNA, and finally to find strategies to assemble their genome out of metagenomic sequences. This study, using cheese rind surface as a model, describes a comparative analysis of procedures for selectively extracting viral DNA from cheese and to efficiently characterize the genome of dominant phages with cross-sample assembly.

microbiology↗