Insecticide resistance associated to environment in Triatoma infestans: what do we know and what remains unknown

FRONZA, GEORGINA; TOLOZA ARIEL C; MOUGABURE CUETO, GASTÓN; CARBAJO, ANIBAL E

La Plata

Congreso; II Congress of the Latin American Society for Vector Ecology; 2022

Latin American Society for Vector Ecology

Resistance to insecticides is considered as a barrier to chemical control of Triatomainfestans, the main vector of Chagas disease in the Southern Cone of South America.Although initiatives of disease incidence reduction in the area have integrated differentstrategies, they have been based mainly on vector elimination through pyrethroidsinsecticides like deltamethrin. The first reports of pyrethroids resistance were found in T.infestans populations from Salvador Mazza (northern Argentina) and Yacuiba (southernBolivia). Recently, a mosaic pyrethroid resistant focus was described in the center of theArgentine Gran Chaco (General Güemes department, Chaco province), characterized by thepresence in the same area of susceptible and very high resistant populations. Differentresistance mechanisms were proposed to be involved together with the contribution ofenvironmental variables that promote the toxicological heterogeneity described. In thiscontext, new questions arise: Is there another resistant focus along T. infestans Argentinianendemic zone? Are the environmental predictors influencing the distribution of resistance atendemic area scale? To contribute to this knowledge, we studied toxicological informationfrom insects collected and analyzed in 224 Argentinian localities during 2010- 2020 as part of the resistance monitoring performed by Chagas National Programme. The sites wereclassified according to insects survival rate exposed to deltamethrin discriminant dose: with0- 0.19 were considered susceptible, 0.2-0.79 low resistant, and 0.8- 1 high resistant. Then,it was georeferenced in order to describe the spatial distribution of resistance and to set upspatial variables (demographic, land use, urbanization, connectivity, climatic) potentiallyrelated to resistance. The association between resistance and spatial variables was studiedusing generalized linear models (GLM), with error distribution selected according to theresponse variable definition: the number of surviving insects was modeled with Poisson error distribution with log link, while the presence/ absence of resistance was modeled withBinomial error structure with n= 1 (Bernoulli distribution) and logit link function. Concerning spatial distribution, 197 susceptible localities were spread along the endemic zone. Resistant localities with different survival rates were registered throughout the area, 9 of them with high resistance circumscribed to the two resistant foci described by the moment. 18 localities with low resistance were present in Chaco, Salta, Tucumán, Catamarca, Formosa and Santiago del Estero provinces, highlighting their relevance in control activities planning. Precipitation variables were associated with resistance in all GLM evaluated. Models of presence/absence were the most accurate, with precipitation, distance to the capital city and land usecontributing to resistance distribution. This information could be valuable to improve control strategies of T. infestans in future scenarios characterized by unpredictable changes in land use and precipitation.