Geographical distribution and ecological niche modeling of the etiological agents of human sporotrichosis in Venezuela.
Laura BarretoGrisel VelásquezMireya MendozaEmma CamachoEstefany GoncalvesSabrina RodríguezGustavo A Niño-VegaPublished in: Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] (2020)
The geographical distribution and ecological niche of the two circulating species of the Sporothrix genus in Venezuela was established. For this, 68 isolates of Sporothrix spp. from patients of different regions of the country were analyzed. A molecular taxonomy analysis was conducted using a fragment of the calmodulin gene (CAL), and ITS regions, confirming the presence of S. schenckii (62%) and S. globosa (38%). Computational models of ecological niche for each species were obtained by the maximum entropy method using the MaxEnt software, which predicted the best environmental conditions for the presence of the two species. These models predict that the main variables influencing the presence of S. schenckii were altitude and annual mean temperature, while for S. globosa, the more influent variable was the land use, with 82% of S. globosa located at urban areas vs 56% for S. schenckii. The results here presented could contribute to understand the specific environmental factors that might modulate the occurrence of Sporothrix spp. as well as its transmission. To our knowledge, our analyses show for the first time Sporothrix spp.-specific ecological niche data, a valuable tool to promote evidence-based public health policymaking within endemic areas of sporotrichosis.
Keyphrases
- human health
- public health
- climate change
- risk assessment
- end stage renal disease
- genetic diversity
- chronic kidney disease
- ejection fraction
- endothelial cells
- healthcare
- newly diagnosed
- copy number
- big data
- protein kinase
- data analysis
- machine learning
- induced pluripotent stem cells
- electronic health record
- deep learning
- artificial intelligence
- pluripotent stem cells