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A neural network prediction of environmental determinants of Anopheles sinensis knockdown resistance mutation to pyrethroids in China
- Source :
- Journal of vector ecology : journal of the Society for Vector Ecology. 41(2)
- Publication Year :
- 2016
-
Abstract
- Selection pressure caused by long-term intensive use of insecticides is the key driving force in resistance development. Additional parameters such as environmental conditions may affect both the mosquito response to insecticides and the selection of resistance mechanisms. In this context, we analyzed the environmental determinants of kdr prevalence in Anopheles sinensis across China. We collected kdr frequency from 48 sites across central and southern China, together with key environmental factors including long-term climatic data, topographic features, main crops, and land cover types. Trend surface analysis found that the distribution of kdr frequency can be partitioned into three regions, namely central China (kdr frequency >80%), western China (kdr frequency varies from 0% to 60%), and southern China (kdr frequency
- Subjects :
- 0301 basic medicine
Mutation rate
Veterinary medicine
China
030231 tropical medicine
ved/biology.organism_classification_rank.species
Central china
Context (language use)
Crop cultivation
Biology
Environment
Anopheles sinensis
Insecticide Resistance
03 medical and health sciences
0302 clinical medicine
parasitic diseases
Anopheles
Pyrethrins
Animals
neoplasms
Ecology, Evolution, Behavior and Systematics
Ecology
business.industry
ved/biology
Knockdown resistance
Biotechnology
Spatial heterogeneity
030104 developmental biology
Mutation (genetic algorithm)
Mutation
cardiovascular system
Neural Networks, Computer
business
circulatory and respiratory physiology
Subjects
Details
- ISSN :
- 19487134
- Volume :
- 41
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of vector ecology : journal of the Society for Vector Ecology
- Accession number :
- edsair.doi.dedup.....11f912b791df076f699de387ce5f3caf