Abstract
Background: Members of the Bifidobacterium genus and lactobacilli are the most commonly used probiotics to promote human health. In this context, genome-based in silico analyses have been demonstrated as a fast and reliable tool for identifying and characterizing health-promoting activities imputed to probiotics.
Methods: This study is an extension of the Integrated Probiotic Database (IPDB) previously created on probiotics of the genus Bifidobacterium , facilitating a comprehensive understanding of the genetic characteristics that contribute to the diverse spectrum of beneficial effects of probiotics. The strains integrated into this new version of the IPDB, such as various lactobacilli and strains belonging to the species Streptococcus thermophilus (S. thermophilus ) and Heyndrickxia coagulans (H. coagulans ) (formerly Bacillus coagulans ), were selected based on the labels of probiotic formulations currently on the market and using the bacterial strains whose genome had already been sequenced. On these bacterial strains, comparative genome analyses were performed, mainly focusing on genetic factors that confer structural, functional, and chemical characteristics predicted to be involved in microbe-host and microbe-microbe interactions.
Results: Our investigations revealed marked inter- and intra-species variations in the genetic makeup associated with the biosynthesis of external structures and bioactive metabolites putatively associated with microbe- and host-microbe interactions.
Conclusion: Although genetic differences need to be confirmed as functional or phenotypic differences before any probiotic intervention, we believe that considering these divergences will aid in improving effective and personalized probiotic-based interventions.