Our newly developed bioinformatics pipelines enable unprecedented depth (of over 95%) in identifying the microbiota species that are present in the sequenced samples, and in discovering bacterial species that are present at different levels during certain metabolically-beneficial conditions. We used these tools to compare the metagenomics changes with the changes in metabolomics, which allowed us to gain functional and mechanistic explanations of the microbiota importance during the metabolically healthy stimuli, and to narrow down several bacterial species as candidates that could mediate these effects. We conclusively demonstrated the importance of the identified bacterial species in improving metabolic diseases, such as obesity and impaired insulin sensitivity. We also determined their importance in potentially limiting the age-related deterioration of the bone strength, and their capacity in preventing the age-related metabolic diseases, such as osteoporosis. Finally, our work provided mechanistic insights into the molecular and cellular machinery by which microbiota communicates with the host, and further analysed the overall compositional changes of various organs induced by the microbiota, in particular the adipose tissues and the intestine.