Dataset Information

Global potential distribution of Drosophila suzukii (Diptera, Drosophilidae).

ABSTRACT: Drosophila suzukii (Matsumura) is a species native to Western Asia that is able to pierce intact fruit during egg laying, causing it to be considered a fruit crop pest in many countries. Drosophila suzukii have a rapid expansion worldwide; occurrences were recorded in North America and Europe in 2008, and South America in 2013. Due to this rapid expansion, we modeled the potential distribution of this species using the Maximum Entropy Modeling (MaxEnt) algorithm and the Genetic Algorithm for Ruleset Production (GARP) using 407 sites with known occurrences worldwide and 11 predictor variables. After 1000 replicates, the value of the average area under the curve (AUC) of the model predictions with 1000 replicates was 0.97 for MaxEnt and 0.87 for GARP, indicating that both models had optimal performances. The environmental variables that most influenced the prediction of the MaxEnt model were the annual mean temperature, the maximum temperature of the warmest month, the mean temperature of the coldest quarter and the annual precipitation. The models indicated high environmental suitability, mainly in temperate and subtropical areas in the continents of Asia, Europe and North and South America, where the species has already been recorded. The potential for further invasions of the African and Australian continents is predicted due to the environmental suitability of these areas for this species.

SUBMITTER: Dos Santos LA

PROVIDER: S-EPMC5360346 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Global potential distribution of Drosophila suzukii (Diptera, Drosophilidae).

Dos Santos Luana A LA Mendes Mayara F MF Krüger Alexandra P AP Blauth Monica L ML Gottschalk Marco S MS Garcia Flávio R M FR

PloS one 20170321 3

Drosophila suzukii (Matsumura) is a species native to Western Asia that is able to pierce intact fruit during egg laying, causing it to be considered a fruit crop pest in many countries. Drosophila suzukii have a rapid expansion worldwide; occurrences were recorded in North America and Europe in 2008, and South America in 2013. Due to this rapid expansion, we modeled the potential distribution of this species using the Maximum Entropy Modeling (MaxEnt) algorithm and the Genetic Algorithm for Rul ...[more]

PMID: 28323903

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Project description:The goal of this study is to proactively assess the risk of insecticide resistance development by determining susceptibility of field-collected D. suzukii and their response to insecticide treatment at the transcriptome level using next-generation sequencing technology. Methods:LC50 values were calculated for zeta-cypermethrin, spinosad, malathion treated D. suzukii field-collected and lab-reared populations. LC50 dosage survived and untreated (10 individuals per replicate) field-collected and lab reared D.suzukii transcript profiles were generated by RNA sequencing, in triplicate, using Illumina NextSeq 500. The 24 samples (paired-end reads, including replicates) were independently mapped onto the D. suzukii genome (SpottedWingFlybase v.1) by using TopHat followed by Cufflinks to estimate the expression values of the transcripts in FPKM (Fragments Per Kilobase per Million mapped reads) with the Cuffdiff 2 default geometric normalization. Differentially expressed genes (FDR < 0.05 after Benjamini-Hochberg correction for multiple-testing) were identified for insecticide-treated or untreated control for either (1) lab-reared populations or (2) field-collected populations. Results: As an approach to proactively assess the risk of insecticide resistance development, we determined the LC50 (lethal concentration, 50%) values of commonly used insecticides zeta-cypermethrin, spinosad, and malathion against laboratory-reared and field-collected D. suzukii populations. The LC50 values were significantly higher in field-collected populations when compared to lab-reared populations, indicating that field populations are less susceptible to these insecticides. Furthermore, we used RNA sequencing to analyze the response of D. suzukii at the transcriptome level upon treatment with the same three insecticide classes that are used in our bioassays. We identified differentially expressed genes (DEGs) in D. suzukii that survived LD50 doses of zeta-cypermethrin, spinosad, and malathion and gene classes that are overrepresented in DEGs. We observed that a high number of significantly DEGs are involved in detoxification and reduced cuticular penetration, especially in field population, thus providing potential molecular mechanisms for the higher LC50 values for field-collected population. Conclusion: Our study identified a high number of metabolic detoxification genes that are induced in field-collected D. suzukii upon insecticide treatment and a high degree of overlap when examining the lists of genes that are induced when D. suzukii is treated with three commonly used insecticides. Based on our results, we conclude that there is a substantial risk of insecticide resistance and cross-resistance development in D. suzukii in the field.

Dataset Information

Global potential distribution of Drosophila suzukii (Diptera, Drosophilidae).

Publications

Global potential distribution of Drosophila suzukii (Diptera, Drosophilidae).

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