scholarly journals Rapid Evolution of Knockdown Resistance Haplotypes in Response to Pyrethroid Selection in Aedes aegypti

2021 ◽  
Author(s):  
Jennifer Baltzegar ◽  
Michael Vella ◽  
Christian Gunning ◽  
Gissella Vasquez ◽  
Helvio Astete ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Rapid Evolution ◽  
Knockdown Resistance

Inheritance and stability of sodium channel mutations associated with permethrin knockdown resistance in Aedes aegypti

2012 ◽  
Vol 104 (2) ◽  
pp. 136-142 ◽  
Author(s):  
Cheng Chang ◽  
Xin-Yi Huang ◽  
Pin-Chun Chang ◽  
Huai-Hui Wu ◽  
Shu-Mei Dai
Keyword(s):  
Aedes Aegypti ◽  
Sodium Channel ◽  
Knockdown Resistance

scholarly journals Association between Three Mutations, F1565C, V1023G and S996P, in the Voltage-Sensitive Sodium Channel Gene and Knockdown Resistance in Aedes aegypti from Yogyakarta, Indonesia

Insects ◽  
2015 ◽  
Vol 6 (3) ◽  
pp. 658-685 ◽  
Author(s):  
Juli Wuliandari ◽  
Siu Lee ◽  
Vanessa White ◽  
Warsito Tantowijoyo ◽  
Ary Hoffmann ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Sodium Channel ◽  
Knockdown Resistance ◽  
Channel Gene ◽  
Sodium Channel Gene

scholarly journals The V410L knockdown resistance mutation occurs in island and continental populations of Aedes aegypti in West and Central Africa

2020 ◽  
Vol 14 (5) ◽  
pp. e0008216 ◽  
Author(s):  
Constância F. J. Ayres ◽  
Gonçalo Seixas ◽  
Sílvia Borrego ◽  
Cátia Marques ◽  
Inilça Monteiro ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Resistance Mutation ◽  
Central Africa ◽  
Knockdown Resistance ◽  
West And Central Africa

Knockdown Resistance Mutations in Aedes aegypti (Diptera: Culicidae) From Puerto Rico

2016 ◽  
Vol 53 (6) ◽  
pp. 1410-1414 ◽  
Author(s):  
Gustavo Ponce-García ◽  
Samantha Del Río-Galvan ◽  
Roberto Barrera ◽  
Karla Saavedra-Rodriguez ◽  
Karina Villanueva-Segura ◽  
...  
Keyword(s):  
Puerto Rico ◽  
Aedes Aegypti ◽  
Knockdown Resistance ◽  
Resistance Mutations

scholarly journals Temporal Pattern of Mutations in the Knockdown Resistance (kdr) Gene of Aedes aegypti Mosquitoes Sampled from Southern Taiwan

2019 ◽  
Vol 101 (5) ◽  
pp. 973-975 ◽  
Author(s):  
Sandrine Biduda ◽  
Chia-Hsien Lin ◽  
Fatma Saleh ◽  
Flemming Konradsen ◽  
Helle Hansson ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Temporal Pattern ◽  
Knockdown Resistance ◽  
Southern Taiwan

scholarly journals Larval density mediates knockdown resistance to pyrethroid insecticides in adult Aedes aegypti

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Marissa K. Grossman ◽  
Valentin Uc-Puc ◽  
Adriana E. Flores ◽  
Pablo C. Manrique-Saide ◽  
Gonzalo M. Vazquez-Prokopec
Keyword(s):  
Aedes Aegypti ◽  
Larval Density ◽  
Knockdown Resistance ◽  
Pyrethroid Insecticides

scholarly journals Spatial variation in the frequency of knockdown resistance genotypes in Florida Aedes aegypti populations

2020 ◽  
Author(s):  
Stephanie Jane Mundis ◽  
Alden S. Estep ◽  
Christy M. Waits ◽  
Sadie J. Ryan
Keyword(s):  
Aedes Aegypti ◽  
Insecticide Resistance ◽  
Vector Control ◽  
Mosquito Species ◽  
Explanatory Power ◽  
Beta Regression ◽  
Knockdown Resistance ◽  
Resistant Variant ◽  
Pyrethroid Insecticides ◽  
Use Factors

Abstract Background The development of insecticide resistance in disease-vectoring mosquito species can lead to vector control failure and disease resurgence. However, insecticide applications remain an essential public health intervention. In Florida, insecticide resistance in Aedes aegypti , an anthropophilic mosquito species capable of transmitting dengue, chikungunya, and Zika virus, is a major concern. Understanding the location, scale, and driving factors of insecticide resistance can enhance the ability of vector control organizations to target populations effectively. Methods We used previously collected data on frequencies of mutations that confer resistance to commonly used pyrethroid insecticides in Aedes aegypti specimens from 62 sites distributed across 18 counties in Florida. To determine the scale of clustering for the most resistant variant, we used a Ripley’s K function. We also used a spatial scanning statistic technique to identify the locations of clusters where higher than expected frequencies of susceptible or resistant mosquitoes occurred. We then tested for associations between landscape, demographic, and insecticide-use factors using a beta regression modelling approach and evaluated the effect of spatial lag and spatial error terms on overall explanatory power of these models. Results The scale at which maximum clustering of the most resistant variant occurs is approximately 20 kilometers. We identified statistically significant clusters of genotypes associated with resistancein several coastal cities, although some of these clusters were near significant clusters of susceptible mosquitoes, indicating selection pressures vary at the local scale. Vegetation density, distance from roads, and pyrethroid-use by vector control districts were consistently significant predictors of knockdown resistance genotype frequency in the top-performing beta regression models, although pyrethroid-use surprisingly had a negatively associated with resistance. The incorporation of spatial lags resulted in improvements to the fit and explanatory power of the models, indicating an underlying diffusion process likely explains some of the spatial patterns observed. Conclusions The genetic mutations that confer resistance to pyrethroids in Aedes aegpyti mosquitoes in Florida exhibit spatial autocorrelation and patterns that can be partially explained by landscape and insecticide-use factors. Further work at local scales should be able to identify the mechanisms by which these variables influence selection for alleles associated with resistance.

scholarly journals Spatial variation in the frequency of knockdown resistance genotypes in Florida Aedes aegypti populations

2020 ◽  
Author(s):  
Stephanie Jane Mundis ◽  
Alden S. Estep ◽  
Christy M. Waits ◽  
Sadie J. Ryan
Keyword(s):  
Aedes Aegypti ◽  
Insecticide Resistance ◽  
Vector Control ◽  
Mosquito Species ◽  
Explanatory Power ◽  
Beta Regression ◽  
Knockdown Resistance ◽  
Resistant Variant ◽  
Pyrethroid Insecticides ◽  
Use Factors

Abstract Background The development of insecticide resistance in disease-vectoring mosquito species can lead to vector control failure and disease resurgence. However, insecticide applications remain an essential public health intervention. In Florida, insecticide resistance in Aedes aegypti , an anthropophilic mosquito species capable of transmitting dengue, chikungunya, and Zika virus, is a major concern. Understanding the location, scale, and driving factors of insecticide resistance can enhance the ability of vector control organizations to target populations effectively. Methods We used previously collected data on frequencies of mutations that confer resistance to commonly used pyrethroid insecticides in Aedes aegypti specimens from 62 sites distributed across 18 counties in Florida. To determine the scale of clustering for the most resistant variant, we used a Ripley’s K function. We also used a spatial scanning statistic technique to identify the locations of clusters where higher than expected frequencies of susceptible or resistant mosquitoes occurred. We then tested for associations between landscape, demographic, and insecticide-use factors using a beta regression modelling approach and evaluated the effect of spatial lag and spatial error terms on overall explanatory power of these models. Results The scale at which maximum clustering of the most resistant variant occurs is approximately 20 kilometers. We identified statistically significant clusters of genotypes associated with resistancein several coastal cities, although some of these clusters were near significant clusters of susceptible mosquitoes, indicating selection pressures vary at the local scale. Vegetation density, distance from roads, and pyrethroid-use by vector control districts were consistently significant predictors of knockdown resistance genotype frequency in the top-performing beta regression models, although pyrethroid-use surprisingly had a negatively associated with resistance. The incorporation of spatial lags resulted in improvements to the fit and explanatory power of the models, indicating an underlying diffusion process likely explains some of the spatial patterns observed. Conclusions The genetic mutations that confer resistance to pyrethroids in Aedes aegpyti mosquitoes in Florida exhibit spatial autocorrelation and patterns that can be partially explained by landscape and insecticide-use factors. Further work at local scales should be able to identify the mechanisms by which these variables influence selection for alleles associated with resistance.

scholarly journals Pyrethroid-Resistance and Presence of Two Knockdown Resistance (kdr) Mutations, F1534C and a Novel Mutation T1520I, in Indian Aedes aegypti

2015 ◽  
Vol 9 (1) ◽  
pp. e3332 ◽  
Author(s):  
Raja Babu S. Kushwah ◽  
Cherry L. Dykes ◽  
Neera Kapoor ◽  
Tridibes Adak ◽  
Om P. Singh
Keyword(s):  
Aedes Aegypti ◽  
Pyrethroid Resistance ◽  
Novel Mutation ◽  
Knockdown Resistance
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