Last Updated: 24/04/2026
Screening of Anopheles sinensis resistance genes by RNA-seq and QTL mapping
Objectives
This project will apply high-through out sequencing in next generation system (RNA-seq), combined with quantitative trait loci (QTL) mapping techniques to investigate insecticide resistance in Anopheles sinensis.
Anopheles sinensis is an important vector of malaria in China, pyrethroid insecticides indoor-residual spraying (IRS) is the main measures to eliminate malaria. In recent years, the monitoring results on insecticide resistance to Anopheles sinensis indicate that, due to the rapid development of resistance to deltamethrin, high resistance groups have appeared in some areas. Therefore, the intensive usage of deltamethrin has resulted in the severe insecticide resistance in this vector and it has leaded to significant impediment of progress in malaria elimination program in China. Firstly, the gene expression between deltamethrin-susceptible and resistant An. sinensis populations will be analyzed by high-through out sequencing. The specifically and the differentially expressed genes related to insecticide resistance will be identified by transcriptome analysis. Secondly, the genetic linkage map will then be constructed based on the bulked segregant analysis (BSA) method, combined with random amplified fragment length polymorphism (AFLP) technique. The quantitative trait locus (QTL) mapping will be conducted according to the phenotype of insecticide and genotype of molecular markers to identify the gene loci conferring the insecticide resistance of An. sinensis. The RNA-seq results will be combined with QTL mapping outcome to demonstrate the explicitly insecticide resistant genes in An. sinensis. This study considerably improves the understanding of insecticide resistances in An. sinenis, provides the critical references in genomics study in An. sinensis, lays a sold foundation for insecticide resistance of An. sinensis in molecular mechanism, and can support project of malaria elimination in China.
Jan 2015 — Dec 2018
$114,410


