Topography and land cover of watersheds predicts the distribution of the environmental pathogen Mycobacterium ulcerans in aquatic insects

Carolan Kevin, Garchitorena Andres, Garcia-Pena Gabriel E., Morris Aaron, Landier Jordi, Fontanet Arnaud, Le Gall Philippe, Texier Gaëtan, Marsollier Laurent, Gozlan Rodolphe E., Eyangoh Sara, Lo Seen Danny, Guégan Jean-François. 2014. Topography and land cover of watersheds predicts the distribution of the environmental pathogen Mycobacterium ulcerans in aquatic insects. PLoS Neglected Tropical Diseases, 8 (11):e3298, 11 p.

Journal article ; Article de revue à facteur d'impact Revue en libre accès total
Published version - Anglais
Use under authorization by the author or CIRAD.

Télécharger (1MB) | Preview

Quartile : Q1, Sujet : TROPICAL MEDICINE / Quartile : Q1, Sujet : PARASITOLOGY

Abstract : Background: An understanding of the factors driving the distribution of pathogens is useful in preventing disease. Often we achieve this understanding at a local microhabitat scale; however the larger scale processes are often neglected. This can result in misleading inferences about the distribution of the pathogen, inhibiting our ability to manage the disease. One such disease is Buruli ulcer, an emerging neglected tropical disease afflicting many thousands in Africa, caused by the environmental pathogen Mycobacterium ulcerans . Herein, we aim to describe the larger scale landscape process describing the distribution of M. ulcerans. Methodology: Following extensive sampling of the community of aquatic macroinvertebrates in Cameroon, we select the 5 dominant insect Orders, and conduct an ecological niche model to describe how the distribution of M. ulcerans positive insects changes according to land cover and topography. We then explore the generalizability of the results by testing them against an independent dataset collected in a second endemic region, French Guiana. Principal Findings: We find that the distribution of the bacterium in Cameroon is accurately described by the land cover and topography of the watershed, that there are notable seasonal differences in distribution, and that the Cameroon model does not predict the distribution of M. ulcerans in French Guiana. Conclusions/Significance: Future studies of M. ulcerans would benefit from consideration of local structure of the local stream network in future sampling, and further work is needed on the reasons for notable differences in the distribution of this species from one region to another. This work represents a first step in the identification of large-scale environmental drivers of this species, for the purposes of disease risk mapping. (Résumé d'auteur)

Mots-clés Agrovoc : Mycobacterium, Évaluation du risque, Transmission des maladies, Surveillance épidémiologique, Modèle de simulation, Modélisation environnementale, Distribution spatiale, Topographie, couverture du sol, Biotope, Facteur du milieu, Insecte aquatique

Mots-clés géographiques Agrovoc : Guyane française, Cameroun

Mots-clés complémentaires : mycobacterium ulcerans

Classification Agris : L73 - Animal diseases
L72 - Pests of animals
U10 - Computer science, mathematics and statistics
U30 - Research methods

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Carolan Kevin, IRD (FRA)
  • Garchitorena Andres, IRD (FRA)
  • Garcia-Pena Gabriel E., IRD (FRA)
  • Morris Aaron, IRD (FRA)
  • Landier Jordi, Institut Pasteur (FRA)
  • Fontanet Arnaud, Institut Pasteur (FRA)
  • Le Gall Philippe, CNRS (FRA)
  • Texier Gaëtan, Centre Pasteur du Cameroun (CMR)
  • Marsollier Laurent, CRCNA (FRA)
  • Gozlan Rodolphe E., IRD (FRA)
  • Eyangoh Sara, Centre Pasteur du Cameroun (CMR)
  • Lo Seen Danny, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0002-7773-2109
  • Guégan Jean-François, IRD (FRA)

Source : Cirad - Agritrop (

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-02-24 ]