Genetic diversity of Nyssorhynchus (Anopheles) darlingi related to biting behavior in western Amazon

Parasites & Vectors

Kevin J. Emerson¹  Joseph M. Vinetz²  Jan E. Conn³  Melina Campos⁴  Diego Peres Alonso⁴  Paulo Eduardo Martins Ribolla⁴ 

[1] 0000 0001 0227 8514, grid.422521.2, Biology Department, St. Mary’s College of Maryland, St. Mary’s City, MD, USA;0000 0001 2107 4242, grid.266100.3, Division of Infectious Diseases, Department of Medicine, University of California, San Diego, La Jolla, California, USA;0000 0001 0673 9488, grid.11100.31, Laboratorio de Investigación y Desarrollo, Departamento de Ciencias Celulares y Moleculares, Instituto de Medicina Tropical “Alexander von Humboldt”, Universidad Peruana Cayetano Heredia, Lima, Peru;0000 0001 2151 7947, grid.265850.c, Department of Biomedical Sciences, School of Public Health, University at Albany (State University of New York), Albany, NY, USA;0000 0004 0435 9002, grid.465543.5, Wadsworth Center, New York State Department of Health, Albany, NY, USA;0000 0001 2188 478X, grid.410543.7, Biotechnology Institute (IBTEC) & Biosciences Institute at Botucatu (IBB), Sao Paulo State University (UNESP), Sao Paulo, Brazil;

关键词: Nyssorhynchus;    Biting behavior;    Genetic population;    Individual mosquito scale;    Malaria vector;    SNPs;    Genetic heterogeneity;   

DOI  :  10.1186/s13071-019-3498-4

来源: publisher

【 摘 要 】

BackgroundIn the Amazon Basin, Nyssorhynchus (Anopheles) darlingi is the most aggressive and effective malaria vector. In endemic areas, behavioral aspects of anopheline vectors such as host preference, biting time and resting location post blood meal have a key impact on malaria transmission dynamics and vector control interventions. Nyssorhynchus darlingi presents a range of feeding and resting behaviors throughout its broad distribution.MethodsTo investigate the genetic diversity related to biting behavior, we collected host-seeking Ny. darlingi in two settlement types in Acre, Brazil: Granada (~ 20-year-old, more established, better access by road, few malaria cases) and Remansinho (~ 8-year-old, active logging, poor road access, high numbers malaria cases). Mosquitoes were classified by the location of collection (indoors or outdoors) and time (dusk or dawn).ResultsGenome-wide SNPs, used to assess the degree of genetic divergence and population structure, identified non-random distributions of individuals in the PCA for both location and time analyses. Although genetic diversity related to behavior was confirmed by non-model-based analyses and FST values, model-based STRUCTURE detected considerable admixture of these populations.ConclusionsTo our knowledge, this is the first study to detect genetic markers associated with biting behavior in Ny. darlingi. Additional ecological and genomic studies may help to understand the genetic basis of mosquito behavior and address appropriate surveillance and vector control.

【 授权许可】

CC BY