About this Research Topic
Probiotics are defined as live microorganisms (bacteria and fungi) that can exert beneficial health effects in the gut and extra-intestinal sites when consumed in sufficient quantity. Breakthroughs in the study of the human microbiome and the development of high throughput platforms have revolutionized our understanding of probiotic activity. Multi-omics approaches including: metagenomics, metabolomics, (meta)transcriptomics, and (meta)proteomics, have facilitated the study of complex probiotic-microbiome-host interactions at multiple levels. In parallel, several bioinformatic tools and pipelines have been developed to streamline the analysis of the big bulk of data generated from these studies. Accordingly, the incorporation of artificial intelligence and machine learning algorithms has enabled the accurate prediction of the in situ and in vivo probiotic behavior in microbial communities and host niches.
This Research Topic aims to cover the latest developments in probiotic research derived from studies using multi-omics approaches. Specifically, its focus is to provide mechanistic insight into the probiotic phenotype and the health-promoting activity of strains derived from different sources such as fermented products and environmental samples, using cutting-edge platforms, novel bioinformatic tools and pipelines. Furthermore, this Research Topic aims at advancing our knowledge on the probiotic-host and probiotic-microbiota interface. Detailed knowledge of these interactions can lead to targeted applications leading to host-, strain- and disease- specific supplements with increased efficiency.
We welcome Original Research, Review, Mini Review and Systematic Review articles focusing on:
• Application of bioinformatic tools and pipelines for big data analysis in probiotic research;
• The integration of artificial intelligence and modeling algorithms for the prediction of probiotic host adaptation and activity;
• Construction of databases containing probiotic microorganisms;
• Multi-omics technologies to study probiotic action and probiotic-host interactions in the gut and distal sites such as gut-skin and gut-brain axis;
• Genomics, including comparative and functional genomics, of new probiotic strains.
This Research Topic aims to cover the latest developments in probiotic research derived from studies using multi-omics approaches. Specifically, its focus is to provide mechanistic insight into the probiotic phenotype and the health-promoting activity of strains derived from different sources such as fermented products and environmental samples, using cutting-edge platforms, novel bioinformatic tools and pipelines. Furthermore, this Research Topic aims at advancing our knowledge on the probiotic-host and probiotic-microbiota interface. Detailed knowledge of these interactions can lead to targeted applications leading to host-, strain- and disease- specific supplements with increased efficiency.
We welcome Original Research, Review, Mini Review and Systematic Review articles focusing on:
• Application of bioinformatic tools and pipelines for big data analysis in probiotic research;
• The integration of artificial intelligence and modeling algorithms for the prediction of probiotic host adaptation and activity;
• Construction of databases containing probiotic microorganisms;
• Multi-omics technologies to study probiotic action and probiotic-host interactions in the gut and distal sites such as gut-skin and gut-brain axis;
• Genomics, including comparative and functional genomics, of new probiotic strains.
Keywords: probiotics, multi-omics, genomics, metagenomics, transcriptomics, proteomics, gut microbiota, databases, bioinformatic tools
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
