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Meola, M.

Publications and source records attributed to Meola, M..

4 recordsLinked to original sources

Microbial community dynamics in a traditional Swiss mountain cheese over 142 years of cheesemaking

The history of cheesemaking is deeply intertwined with the evolution of microbial communities, from spontaneous fermentation to modern, standardized practices. Despite centuries of refinement, the most profound shifts in cheese production occurred in the last century, driven by advances in microbiology and production technologies. These changes have shaped the bacterial and viral communities within cheese, yet the specific impacts remain underexplored. Using shotgun metagenomics and 16S rRNA gene amplicon sequencing approaches, we examined microbial community changes in Raclette du Valais, a traditional Swiss cheese, using preserved cheese wheels from 1875 to 2017 from the same alpine dairy in Switzerland. Our results reveal that significant shifts in microbial community composition coincide with changes in production practices. Notably, the oldest cheese harbored a distinct bacterial community, dominated by Lactiplantibacillus paraplantarum, Streptococcus thermophilus, Pseudolactococcus laudensis, and taxa commonly associated with the gut environment, indicative of spontaneous fermentation and the use of calf stomach for milk coagulation. Functionally, we can also track the rise and fall of antibiotic resistance genes mirroring their use. Furthermore, we found that domestication of lactic acid bacteria predates the studied period, and that bacteriophage genera detected in 1875 are representatives of those commonly found in modern cheesemaking. These findings highlight how microbial communities have adapted to changing production methods and how human intervention, through practices like antibiotic use in animal husbandry, has influenced these ecosystems in remote alpine cheesemaking. Significance StatementCheesemaking relies on complex microbial ecosystems shaped by long-standing human practices, yet how these communities responded to the modernization of food production has remained largely unknown. By analyzing DNA preserved in historical cheese wheels from a single alpine dairy, we examine microbial community changes across a key technological transition. We show that modernization impacted bacterial composition and functional potential, that cheese microbiomes record the rise of agricultural antibiotic use, and that major cheese-associated phages and domesticated starter bacteria were already established over a century ago. These findings demonstrate that historical cheeses preserve long-term microbial records and offer a glimpse how changes in food production practices shape fermented-food microbiomes.

microbiology↗

Mapping gut bacteria into functional niches reveals the ecological structure of human gut microbiomes

Microbiomes are an essential contributor to the metabolic activity in the human gastrointestinal tract. The fermentation of otherwise indigestible nutritional components like dietary fibers relies on a complex interplay of metabolic pathways that are distributed across the individual bacteria. Yet, which of the bacteria are responsible for which parts of the distributed metabolism and how they should be grouped together is insufficiently understood. Here, we present the NicheMap, an approach to map the different bacterial taxa that make up the gut microbiome onto the different functional niches of microbial carbohydrate fermentation. Our approach uses in vitro measurements of bacterial growth and metabolic activity to identify which bacterial taxa are responsible for which metabolic function in the relevant complex context of whole human fecal microbiomes. We identified characteristic taxa selected for by a panel growth substrates representative of dietary components that are resistant to digestion by host enzymes. These characteristic taxa offer predictions of which bacteria are stimulated by the various components of human diet. We validated these predictions using microbiome data from a human nutritional supplementation study. We suggest a template of how bacterial taxonomic diversity is organized along the trophic cascade of intestinal carbohydrate fermentation. We anticipate that our results and our approach will provide a key contribution towards building a structure-function map for gut microbiomes. Having such a map on hand is an important step in moving the microbiome from a descriptive science to an interventional one.

microbiology↗

DAIRYdb: A manually curated gold standard reference database for improved taxonomy annotation of 16S rRNA gene sequences from dairy products

Reads assignment to taxonomic units is a key step in microbiome analysis pipelines. To date, accurate taxonomy annotation, particularly at species rank, is still challenging due to the short size of read sequences and differently curated classification databases. However, the close phylogenetic relationship between species encountered in dairy products requires accurate species annotation to achieve sufficient phylogenetic resolution for further downstream ecological studies or for food diagnostics. Taxonomy annotation in universal 16S databases with environmental sequences like Silva, RDP or Greengenes is based on predictions rather than on studies of type strains or isolates. We provide a manually curated database composed of 10290 full-length 16S rRNA gene sequences from prokaryotes tailored for dairy products analysis (https://github.com/marcomeola/DAIRYdb). The performance of the DAIRYdb was compared with the universal databases Silva, LTP, RDP and Greengenes. The DAIRYdb significantly outperformed all other databases independently of the classification algorithm by enabling higher accurate taxonomy annotation down to the species rank. The DAIRYdb accurately annotates over 90% of the sequences of either single or paired hypervariable regions automatically.\n\nThe manually curated DAIRYdb strongly improves taxonomic classification accuracy for microbiome studies in dairy environments. The DAIRYdb is a practical solution that enables automatization of this key step, thus facilitating the routine application of NGS microbiome analyses for microbial ecology studies and diagnostics in dairy products.

genomics↗

Taxonomic identification from metagenomic and metabarcoding data using any genetic marker

Correct taxonomic identification of DNA sequences is central to studies of biodiversity using both shotgun metagenomic and metabarcoding approaches. However, there is no genetic marker that gives sufficient performance across all the biological kingdoms, hampering studies of taxonomic diversity in many groups of organisms. We here present a major update to Metaxa2 (http://microbiology.se/software/metaxa2/) that enables the use of any genetic marker for taxonomic classification of metagenome and amplicon sequence data.

bioinformatics↗