Our hosting team EA2656, GRAM 2.0 (Military Adaptation Research Group) is a unique team, bi-site in cotutal between the universities of Caen and Rouen. She is part of a Federation Hospitalo-Universitaire (FeNOMIH) bringing together the services of bacteriology, virology, parasitology/mycology, hospital hygiene and infectiology of the CHUs of Caen and Rouen. The GRAM 2.0 team has 2 National Reference Centres Transmissible Diseases (measles/mumps/rubella, HIV). It therefore has many assets to effectively meet the objectives of the DynaMic-H project. Add to these assets the integration into this project of the Departments of General Medicine of the UFR Santé of Caen and Rouen, involved in sampling and data collection in primary care. It is a network of health professionals in contact with the general population, very valuable to describe the context of pathogen acquisition in primary care.The DynaMic-H project builds on an integrative approach to infectious pathology taking into account the influence of the dynamics of changes in the balance of microbiomes. These communities of microbial species colonise our organism throughout life. They interact significantly with our physiological activities, particularly with the immune, metabolic and neuro-cognitive systems.This research project focuses on the human microbiome (or microbiota), which is defined as all bacteria, viruses, fungi and other microorganisms present in the various compartments or ecological niches of our organism. The DynaMic-H project aims to study microbiomas and their interactions with viral and bacterial infections. Due to the areas of expertise of the GRAM 2.0 members, the main component is the oropharyngeal respiratory microbiome and also includes two pilot studies, involving the enteric compartment and the urinary/vaginal compartment.The samples will be selected and prepared for high-debit meta-transcriptomic sequencing without a priori optimised mixed optimised (long sequences and short Nanopore and Illumina technology respectively) allowing bioinformatics analysis of the abundance and functional expression of microbial genes. Multivariate analyses of high-flow data will identify profiles associated with the variables tested. They will be based on bioinformatics pipelines developed to and already available, adapted computing and storage capabilities available locally, and already available transcriptomics and (meta)genomics of pilot projects and collaborators.