Understanding the transmission of bacterial agents of sapronotic dseases in aquatic ecosystems: a first spatially realistic metacommunity model - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Preprints, Working Papers, ... (Preprint) Year : 2023

Understanding the transmission of bacterial agents of sapronotic dseases in aquatic ecosystems: a first spatially realistic metacommunity model

Abstract

Pathogens such as bacteria, fungi and viruses are important components of soil and aquatic communities, where they can benefit from decaying and living organic matter, and may opportunistically infect human and animal hosts. One-third of human infectious diseases is constituted by sapronotic disease agents that are natural inhabitants of soil or aquatic ecosystems. They are capable of existing and reproducing in the environment outside of the host for extended periods of time. However, as ecological research on sapronosis is infrequent and epidemiological models are even rarer, very little information is currently available. Their importance is overlooked in medical and veterinary research, as well as the relationships between free environmental forms and those that are pathogenic. Here, using dynamical models in realistic aquatic metacommunity systems, we analyze sapronosis transmission, using the human pathogen Mycobacterium ulcerans that is responsible for Buruli ulcer. Our work constitutes the first set of metacommunity models of sapronotic disease transmission, and is highly flexible for adaptation to other types of sapronosis. The importance of sapronotic agents on animal and human disease burden needs better understanding and new models of sapronosis disease ecology to guide the management and prevention of this important group of pathogens.
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hal-04350566 , version 1 (18-12-2023)

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Ahmadou Sylla, Christine Chevillon, Ramsès Djidjou-Demasse, Ousmane Seydi, Carlos a Vargas Campos, et al.. Understanding the transmission of bacterial agents of sapronotic dseases in aquatic ecosystems: a first spatially realistic metacommunity model. 2023. ⟨hal-04350566⟩
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