Recipient Organization
UNIVERSITY OF CALIFORNIA, DAVIS
410 MRAK HALL
DAVIS,CA 95616-8671
Performing Department
Entomology and Nematology
Non Technical Summary
This project supports the mission of the Agricultural Experiment Station by addressing the Hatch Act area(s) ofplant and animal procudtion, protection and health. Increasing the efficiency of vector control of mosquito borne disease is of paramount importance to animal and human health in California and globally. This research will lead to improved understanding of the mechanisms of insecticide resistance in mosquitoes and facilitate the development of rapid detection protocols for use by mosquito control operators to make decisions related to choice of insecticide formulation and type of application that will achieve maximum desired control. The biochemical and molecular approaches proposed here will provide novel insights into the mechanisms evolved by mosquitoes to survive the pesticides used to control disease vector populations. The work described in this proposal will provide proof of concept data for detection of resistance to a commonly used family of pesticides (pyrethroids) by analyzing the biochemistry of these insects. This plan aims to identify chemical markers of resistance as well as the molecular mechanisms by which these mosquitoes are able to survive exposure to pesticides. Successful implementation of these research methods will provide a pipeline by which resistance mechanisms to other pesticide types or in different mosquito populations can be characterized. Analysis of this data will be an important contribution to overcoming a significant hurdle in the implementation of effective, environmentally sound and efficient mosquito control strategies.
Animal Health Component
(N/A)
Research Effort Categories
Basic
100%
Applied
(N/A)
Developmental
(N/A)
Goals / Objectives
Vector-borne diseases are currently among the leading causes of global morbidity and mortality in humans and animals of agricultural importance. These diseases account for more than 17% of all infectious disease and cause more than 700,000 deaths each year (WHO Vector Borne Diseases Fact Sheet 2017) with 80% of the world's population at risk. The added variables of global climate change, increasing human populations, emerging vector borne diseases (such as Zika and Chikungunya) and resurgence of established diseases (such a Yellow Fever and Dengue) complicate an already difficult situation. The recent invasion of California by two of the most notorious vector species Aedes albopictus and Aedes aegypti (in 2011 and 2013 respectively) makes what was previously a distant threat a local one [1, 2].A primary tool in preventing vector borne disease includes the use of pesticides aimed at reducing insect vector populations around human populated areas. However, a significant and ongoing threat to this strategy is the evolution of insecticide resistance in mosquitoes and other disease vector organisms. Both Aedes albopictus and Aedes aegypti are disease vector mosquitoes that show varying and widespread levels of pesticide resistance on a global scale [3, 4]. In particular, resistance to the pyrethroid class of insecticides, which are commonly used against these species, is abundant. The genetic mechanisms of resistance are often associated with genes encoding the voltage gated sodium channel which is the target of these insecticides and gene duplications and over expression of detoxification enzyme genes such as P450-monooxygenases. However, detection of these gene variants does not necessarily correlate with observed resistance phenotypes as determined by CDC bottle test (Personal communication Anthony Cornel).The ability to quickly and accurately detect insecticide resistance in field collected mosquitoes would be an important tool to mosquito control programs in California that are evaluating the most effective control strategy for local mosquito populations. Testing for resistance conferring gene alleles is time consuming, requires lab facilities and personnel with the associated technical and analytical skills. An ideal test would be one that could be applied directly in the field or at a mosquito control facility with minimal training using low cost reagents and equipment. The development of such an assay would require the identification of a detectable physiological biomarker directly associated with insecticide resistance.The relatively recent development of metabolomics technologies has facilitated the rapid and comprehensive analysis of the relative abundance of hundreds to thousands of biological compounds within a single sample. The goals of this project are to leverage this technology to take a biochemical approach to identifying mechanisms of insecticide resistance in mosquitoes. This will be accomplished via the following aims.Identification of differential metabolite abundances between pyrethroid susceptible and resistant mosquitoes by untargeted metabolomic analysis of isogenic lines.Identification of pyrethroid resistance mechanisms by tracking the metabolic fate of topically applied stable isotope labeled pesticides in susceptible and resistant mosquitoes.Characterize and correlate differential gene expression profiles between isogenic lines of pyrethroid susceptible and resistant mosquitoes to correlate gene expression levels with resistance specific metabolic functions.
Project Methods
Mosquitoes utilized for the proposed assays will be generated from single gravid Aedes aegypti females (isogenic female lines) collected from Fresno, Clovis or Los Angeles. Representative offspring from these lines will be tested for pyrethroid resistance by CDC bottle assay. An isogenic line derived from the pyrethroid susceptible Rockefeller strain of Aedes aegypti will be generated as a control. Lines demonstrating a resistance phenotype relative to the susceptible Rockefeller will be inbred to ensure genetic homogeneity and reduce phenotypic heterogeneity. Respective susceptible and resistant strains will be reared and maintained in captivity in the Tupper Hall arthropod containment level 2 insectary in the UC Davis School of Veterinary Medicine using established rearing protocols.Aim 1: To identify baseline differences in metabolic function between pyrethroid susceptible and resistant Aedes aegypti, mosquitos at different physiological states will be collected and submitted for metabolomic analysis. Female mosquitoes will be collected at 0-24 hours post-eclosion (teneral), 96-120 hours post eclosion (pre-vitellogenic), 2-4 hrs post blood meal, 24 hours post blood meal (vitellogenic), 72 hours post blood meal (gravid). Mosquitoes will be anesthetized on ice and snap frozen in liquid nitrogen. Pools of 5 mosquitoes will be collected for each condition with at least 6 replicates per condition from the representative susceptible and resistant colonies. The samples will be submitted to the NIH: West Coast Metabolomics Center at UC Davis for untargeted metabolomic analysis. The untargeted analyses consist of 3 panels of metabolites including primary metabolites (carbohydrates and sugar phosphates, amino acids, hydroxyl acids, free fatty acids, purines, pyrimidines, aromatics, exposome-derived chemicals), complex lipids (ceramides, sphingomyelins, cholesteryl esters, oxysterols, lyso- and phospholipids, mono-, di- and triacylglycerols, galactosyl- and glucuronyllipids) and biogenic amines (acylcarnitines, TMAO, cholines, betaines, SAM, SAH, nucleotides and nucleosides, methylated and acetylated amines, di- and oligopeptides) for a total of ~800 metabolites. Differential abundance of individual metabolites will be determined by Welshes two sample t-test followed by a False Discovery Rate Test (FDR) to determine confidence levels (q-values) for individual P-value scores. Metabolites with a P-value of < 0.05 and a Q-value of <0.05 will be considered to have differential abundances between samples. Metabolites with differential abundances will be mapped to the KEGG (Kyoto Encyclopedia of Genes and Genomes) metabolic pathway library [5] to identify resistance associated pathways.Aim 2: Susceptible and resistant mosquitoes at 5 days post eclosion will be given topical treatments of stable isotope (13C) labeled pyrethroids (Sigma/Aldrich) and parallel groups will be treated with unlabeled pesticide suspended in acetone. Control mosquitoes will be treated with an equivalent volume of acetone alone. At 15 minutes post treatment, mosquitoes will be anesthetized on ice, collected, flash frozen in liquid nitrogen and stored at -80°C. The samples will be submitted to the NIH: West Coast Metabolomics Center at UC Davis for targeted quantitation of 13C labeled pesticides and associated 13C labeled secondary compounds derived metabolic processes within the mosquito. The methodologies for sample preparation, isolation and quantitation of these compounds will be determined in consultation with the metabolomics center to optimize the identification of relevant metabolites. Mosquitoes treated with unlabeled pesticides will be used in a subtractive manner to eliminate peaks associated with unlabeled compounds and emphasize labeledcompounds resulting from a shift in mass. This analysis will determine differences in metabolic flux and the ultimate fate of applied pyrethroids in the context of susceptible and resistant phenotypes.Aim 3: To determine differential gene expression profiles between susceptible and resistant mosquitoes we will isolate total RNA from pyrethroid susceptible and resistant mosquitoes and perform high throughput RNA-seq analysis. Mosquitoes will be collected at 0-24 hours post-eclosion (teneral), 96-120 hours post eclosion (pre-vitellogenic), 2-4 hrs post blood meal, 24 hours post blood meal (vitellogenic), 72 hours post blood meal (gravid). Each time point will include 3 replicates of 5 mosquitoes for susceptible and resistant mosquitoes. Mosquitoes will be anesthetized on ice and homogenized in Trizol reagent (Invitrogen). Total RNA will be isolated via the Direct-zol kit (Zymo) according to the kit protocol. RNA quantity will be determined by nanodrop spectrophotometry. Isolated RNA will be submitted to the UC Davis Genome Center Expression Analysis Core. Sample RNAs will be used to generate multiplexed single stand paired end polyA specific RNA-seq libraries which will be sequenced on an Illumina HiSeq 4000 sequencer. Sequencing data will be aligned to the Aedes aegypti transcriptome using the Star sequence alignment software package [6]. Differential gene expression will be determined using the count data output from STAR using the EdgeR differential expression analysis package in R [7]. Genes identified as differentially expressed will be analyzed for functional enrichment using the topGO package in R [8]. Differentially expressed enzyme functions will be compared with the metabolomics data generated in Aims 1 + 2 to determine metabolic overlap between insecticide resistance associated metabolites and resistance associated gene expression. Transcriptomic and metabolomic data will be analyzed using the KEGG mapper software suite [9] to correlate genes and metabolites with differential abundances with metabolic pathways associated with pyrethroid resistance.