ImpactU Versión 3.11.2 Última actualización: Interfaz de Usuario: 16/10/2025 Base de Datos: 29/08/2025 Hecho en Colombia
Study of Bacterial Communities in Water and Different Developmental Stages of Aedes aegypti from Aquatic Breeding Sites in Leticia City, Colombian Amazon Biome
Aedes aegypti is a key vector in the transmission of arboviral diseases in the Colombian Amazon. This study aimed to characterize microbiota composition using DNA extracted from water in artificial breeding sites, immature stages, and adults of Ae. aegypti in Leticia, Amazonas. Additionally, the physicochemical water variables were correlated with the bacterial communities present. Eight artificial breeding sites were identified, with bucket, plant pot, and tire being the most frequent. The breeding sites exhibited similar physicochemical profiles, with significant temperature and salinity differences (p-value < 0.03). The most representative bacterial genera included Ottowia (82%), Xanthobacter (70.59%), and Rhodocyclaceae (92.78%) in breeding site water; Aquabacterium (61.07%), Dechloromonas (82.85%), and Flectobacillus (58.94%) in immature stages; and Elizabethkingia (70.89%) and Cedecea (39.19%) in males and females of Ae. aegypti. Beta diversity analysis revealed distinct clustering between adults and the water and immature communities (p-value < 0.001). Multivariate analysis showed strong correlations among bacterial communities, breeding sites, and physicochemical variables such as tire and drum cover which exhibited high levels of total dissolved solids, conductivity, and salinity associated with Flectobacillus, Leifsonia, Novosphingobium, Ottowia, and Rhodobacter. Bacterial genera such as Mycobacterium, Escherichia, Salmonella, and Clostridium, present in artificial breeding sites, are associated with public health relevance. This study provides insights into bacterial community dynamics across Ae. aegypti's life cycle and underscores the importance of water physicochemical and biological characteristics for developing new vector control strategies.