Browsing Food Biosciences by Author "Ercolini, Danilo"
Large-scale genome-wide analysis links lactic acid bacteria from food with the gut microbiomePasolli, Edoardo; De Filippis, Francesca; Mauriello, Italia E.; Cumbo, Fabio; Walsh, Aaron M.; Leech, John; Cotter, Paul D.; Segata, Nicola; Ercolini, Danilo; European Union; et al. (Springer Science and Business Media LLC, 2020-05-25)Lactic acid bacteria (LAB) are fundamental in the production of fermented foods and several strains are regarded as probiotics. Large quantities of live LAB are consumed within fermented foods, but it is not yet known to what extent the LAB we ingest become members of the gut microbiome. By analysis of 9445 metagenomes from human samples, we demonstrate that the prevalence and abundance of LAB species in stool samples is generally low and linked to age, lifestyle, and geography, with Streptococcus thermophilus and Lactococcus lactis being most prevalent. Moreover, we identify genome-based differences between food and gut microbes by considering 666 metagenome-assembled genomes (MAGs) newly reconstructed from fermented food microbiomes along with 154,723 human MAGs and 193,078 reference genomes. Our large-scale genome-wide analysis demonstrates that closely related LAB strains occur in both food and gut environments and provides unprecedented evidence that fermented foods can be indeed regarded as a possible source of LAB for the gut microbiome.
Next-Generation Food Research: Use of Meta-Omic Approaches for Characterizing Microbial Communities Along the Food ChainYap, Min; Ercolini, Danilo; Álvarez-Ordóñez, Avelino; O'Toole, Paul W.; O'Sullivan, Orla; Cotter, Paul D.; Irish Dairy Levy; Science Foundation Ireland; European Commission; SFI/12/RC/2273; et al. (Annual Reviews, 2021-10-22)Microorganisms exist along the food chain and impact the quality and safety of foods in both positive and negative ways. Identifying and understanding the behavior of these microbial communities enable the implementation of preventative or corrective measures in public health and food industry settings. Current culture-dependent microbial analyses are time-consuming and target only specific subsets of microbes. However, the greater use of culture-independent meta-omic approaches has the potential to facilitate a thorough characterization of the microbial communities along the food chain. Indeed, these methods have shown potential in contributing to outbreak investigation, ensuring food authenticity, assessing the spread ofantimicrobial resistance, tracking microbial dynamics during fermentation and processing, and uncovering the factors along the food chain that impact food quality and safety. This review examines the community-based approaches, and particularly the application of sequencing-based meta-omics strategies, for characterizing microbial communities along the food chain.