Rapid resistance detection of resistance level is most important step to manage the resistant population in Tetranychus urticae in Korea. Residual contact vial bioassay (RCV) and quantitative sequencing (QS) methods were employed to determine the resistance level and applied to measure the resistance level of 46 field population collected from rose, strawberry and apple trees. Most populations exhibited multiple resistance pattern to various types of acaricides. Especially, the resistance levels in mites from rose cultivation area were higher than those from strawberry and apple cultivation areas. The resistance level detection would provide a useful parameter enabling the proactive action for a proper resistant population management for T. urticae.

Transcriptome analysis was conducted for the identification of genes associated with insecticide resistance in Frankliniella occidentalis. Resistant strain (FO_RDAHC) exhibited 39.2- ~ 533-fold resistance to acrinathrin, spinosad, emmamectin benzoate and thiamethoxam compared with a susceptible FO_RDA strain. Average 7.6 million reads (± 5,068,895 reads) were obtained from the pyrosequencing and were assembled into the draft CDS database. Gene annotation was conducted by BLAST (UniProt), Pfam, FUNCAT and COG analysis. In the deferentially expressed gene (DEG) analysis, 838 genes were up-regulated and 815 genes were down-regulated over 2-fold ratio in FO_RDAHC strain. Highly up-regulated genes included genes encoding several cuticle-related proteins, cytochrome P450s, esterases and transporter genes. An autotransporter protein gene exhibited the highest up-regulation (596 fold) whereas a GMC oxido-reductase revealed the highest down-regulation (12 fold). Further study would be necessary to validate the actual transcript levels of DEGs and to investigate their functional roles in insecticide resistance.

An easy and rapid resistance detection protocol for the Western flower thrips Frankliniella occidentalis was established based on the residual contact vial bioassay (RCV), in which insecticide resistance levels can be estimated at 8 h-post treatment of diagnostic doses. The RDA strain was used as a reference susceptible strain, which has been reared under laboratory conditions over 10 years without exposure to any insecticides. Seven insecticides were tested for the determination of diagnostic dose. Among them, five insecticides (chlorfenapyr, acrinathrin, spinosad, emmamectin benzoate and thiamethoxam, ranged as 0.03 ~ 0.42 μg-1cm2) were applicable to the RCV. However, two insecticides (omethoate and imidacloprid) were not able to be used for the RCV because the treated inner surface of glass vials by these insecticides were too viscous, causing non-specific mortality. The RCV detection kit was employed for the estimation of resistance levels for the five insecticides in five local populations. Almost field-collected populations revealed high levels of resistance to the four insecticides (acrinathrin, spinosad, emmamectin benzoate and thiamethoxam) by showing less than 50% mortality. The baseline resistance detection by RCV method will facilitate the selection of proper insecticides for farmers to manage insecticide resistant-populations of F. occidentalis.

Establishment of rapid resistance level detection system is essential step to adopt the adaptive management for the control of various kinds of resistant pest population. Here, we established acaricides resistance detection methods based on residual contact vial bioassay (RCV) and quantitative sequencing methods (QS), and applied to determine the resistance levels from several populations in two-spotted spider mite, Tetranychus urticae, which has been considered as major notorious pest in rose cultivation area in worldwide. 12 acaricides were applicable to the RCV among 19 representative acaricides by showing the dose-dependent mortality within 8 hr, suggesting the acaricide suitability for the RCV might be varied by toxicity mechanism in each acaricides. The QS regression was established for 10 point mutations associated with five number of acaricides resistance such as organophosphate, pyrethroid, abamectin, bifenazate and etoxazol. The 95% prediction level was ranged from 10.8±5.4∼92.2±3.2%. The resistance levels were determined by above two detection methods from a total 12 strains. The laboratory-reared populations were revealed high susceptibility with low resistance allele frequencies to some acaricides, suggesting the several acaricides would be chosen for the control of those populations. However, the field-collected populations were exhibited a severe cross resistance with low susceptibility and high resistance allele frequency to almost tested acaricides, suggesting the current acaricides resistance levels are serious in rose cultivation area in Korea. The RCV and QS methods would be useful for the rapid and accurate collection of valuable information associated with acaricide resistance.