- Research article
- Open Access
Pre-invasion history and demography shape the genetic variation in the insecticide resistance-related acetylcholinesterase 2 gene in the invasive Colorado potato beetle
BMC Evolutionary Biology volume 13, Article number: 13 (2013)
Invasive pest species offers a unique opportunity to study the effects of genetic architecture, demography and selection on patterns of genetic variability. Invasive Colorado potato beetle (Leptinotarsa decemlineata) populations have experienced a rapid range expansion and intense selection by insecticides. By comparing native and invasive beetle populations, we studied the origins of organophosphate (OP) resistance-associated mutations in the acetylcholinesterase 2 (AChE2) gene, and the role of selection and demography on its genetic variability.
Analysis of three Mexican, two US and five European populations yielded a total of 49 haplotypes. Contrary to the expectations all genetic variability was associated with a point mutation linked to insecticide resistance (S291G), this mutation was found in 100% of Mexican, 95% of US and 71% of European beetle sequences analysed. Only two susceptible haplotypes, genetically very differentiated, were found, one in US and one in Europe. The genetic variability at the AChE2 gene was compared with two other genes not directly affected by insecticide selection, diapause protein 1 and juvenile hormone esterase. All three genes showed reduction in genetic variability indicative of a population bottleneck associated with the invasion.
Stochastic effects during invasion explain most of the observed patterns of genetic variability at the three genes investigated. The high frequency of the S291G mutation in the AChE2 gene among native populations suggests this mutation is the ancestral state and thus, either a pre-adaptation of the beetle for OP resistance or the AChE2 is not the major gene conferring OP resistance. The long historical association with host plant alkaloids together with recombination may have contributed to the high genetic variation at this locus. The genetic diversity in the AChE2 locus of the European beetles, in turn, strongly reflects founder effects followed by rapid invasion. Our results suggest that despite the long history of insecticide use in this species, demographic events together with pre-invasion history have been strongly influential in shaping the genetic diversity of the AChE2 gene in the invasive beetle populations.
Genetic variability in a given gene is the result of a complex interplay of evolutionary forces such as selection, mutation rate and recombination, and demographic history of the populations including changes in population size, migration and divergence . The evolution of insecticide resistance in invasive pest species offers an opportunity to study these forces where the form, target and history of selection, as well as invasion routes are often well known . Evolution due to a strong directional selection by insecticides can be a rapid process [ and references therein], usually involving only a few genes with pronounced phenotypic influences [4, 5]. Typically, mutations that confer resistance are considered to occur at very low frequency in the population due to fitness costs in non-insecticide environments . Strong insecticide selection subsequently leads to an increase in the resistance allele frequency and a general change in the allele composition of populations (e.g. ). Furthermore, a strong reduction in genetic variation is often observed as the originally rare mutation increases in frequency [7, 8]. This reduction may occur not only in the locus targeted by selection but also in the surrounding areas through linkage and genetic hitchhiking [9, 10]. Alternatively, selection can act on standing genetic variation (that is, the beneficial mutation has relatively high frequency) leading to soft sweeps or even maintain variability [11–13].
In addition to selection by insecticides, populations of invasive pest species are often affected by demographic events. For instance, genetic variation is often reduced by population bottlenecks and allele frequencies can be drastically changed by founder events . Subsequent range expansions, typically observed in species invasions , can contribute to the spread of an insecticide resistance allele across large regions without local insecticide selection . However, demographic events can be difficult to disentangle from selection as the former can lead to patterns of genetic variation similar to those caused by selection . These confounding effects can, in principle, be separated by examining multiple loci since demographic history modifies the genetic pattern of the whole genome whereas only certain loci are affected by selection .
Studies of resistance genes have focused on revealing the nucleotide substitutions that are associated with resistance (e.g. [17, 18]), while less attention has been paid to genetic variation in the resistance genes themselves. Yet the level and pattern of genetic variation at the gene and population level may give a more comprehensive picture of the evolutionary forces affecting populations [7, 8, 19]. Comparing populations before and after selection (or populations differing in their exposure to pesticide selection pressure) can provide important insights on the origins of resistance and how selection modifies patterns of genetic variability [10, 13]. For instance, the Colorado potato beetle (Leptinotarsa decemlineata), an invasive insect pest of potato, is well known for its ability to evolve resistance to insecticides  and specific mutations at the target site of resistance to organophosphate and pyrethroids have been extensively investigated [21–26]. However, few studies have examined the population genetic history of agricultural insect pest populations (but see e.g. ). By examining the population genetic history of agricultural insect pests, it will provide insight as to whether insect pests appear to be preadapted to insecticide resistance, or whether resistance arises from de novo mutations under intense selection.
Organophosphates are one of the most common classes of insecticides used worldwide. They were introduced as insecticides in the 1930s after which their use increased rapidly and peaked in the 1970s and 1980s . Due to intense use of OP insecticides, resistance to OPs subsequently appeared in various insect pest species, including the Colorado potato beetle as early as 1964 in US [3, 28, 29]. OP resistance in insects can be based on several mechanisms; the major ones are target-site insensitivity and enhanced detoxification of the toxicant. Also lowered availability of the toxicant may play a role in resistance (e.g. , see also ). Target-site insensitivity is caused by point mutations in two AChE genes (AChE1 paralogous to and AChE2 orthologous to Drosophila melanogaster Ace gene)  that encode for acetylcholinesterase enzymes that function in the synapses of the nervous system. These point mutations cause insensitivity at the target site of insecticides action (e.g. ). There are at least two point mutations in the AChE2 gene that have been associated with OP resistance in the Colorado potato beetle [21, 22]. The major resistance-conferring mutation, an amino acid substitution from serine to glycine (S291G), seems to be unique to this species . The second mutation (arginine to lysine, R30K), may enhance the resistance conferred by the S291G .
In addition for being famous for its ability to evolve insecticide resistance, the invasion history of the Colorado potato beetle is relatively well known. The beetle is native to Mexico where it uses wild relatives of potato (Solanum rostratum Dunal, S. angustifolium Mill.) as host plants, and is not a pest of potato. It is thought that Spanish settlers that migrated northwards with cattle inadvertently carried S. rostratum, northwards. The beetle was first described feeding on S. rostratum in 1824 in Nebraska. The beetle became a serious pest after adapting to potato (S. tuberosum) in the American mid-west in the 1850s . The first described outbreaks of the beetle occurred in 1859 in the Midwestern US . Since, it has spread across the US and almost throughout Europe [32, 33]. Although its establishment in Europe involved a founder event  which reduced neutral genetic variability, the beetle has retained a substantial amount of genetic variability in life history traits [33, 35]. Currently, the Colorado potato beetle is considered to be the major threat to potato crops worldwide. If left uncontrolled, it can cause serious damage to potato crops . The beetle’s complicated and versatile life history has contributed to its success. For instance, the beetle has a very high reproductive potential, both larvae and adults feed on potato, and adults can survive harsh winter conditions by overwintering in diapause burrowed into the soil [29, 37].
We took advantage of the knowledge on one of the main mechanisms of OP resistance and combined it with the invasion history of the Colorado potato beetle to examine the origins of OP resistance-associated mutations, and the selective and demographic forces on the genetic variation in the AChE2 gene using a population genetic approach. In order to disentangle the confounding effects of demography from selection, we examined genetic variation at two other nuclear genes, the diapause protein 1 (DP1)  and putative juvenile hormone esterase (JHE) [39, 40]. If there was a clear sign of intense directional selection, we would expect lower genetic variability both at the AChE2 locus than at the other two loci and in the invasive agricultural (US and Europe) than in native Mexican beetle populations. We would also expect a higher frequency of the OP resistance-associated S291G mutation in the invasive than in the native populations. Finally, we searched for evidence of population genetic structure at the loci among geographic regions and investigated if nucleotide variability at the AChE2, DP1 and JHE genes are compatible with neutral expectations.
Haplotypes and the frequency of resistance-associated mutations at the AChEgene
The AChE2 sequences from the 98 Colorado potato beetles (10 populations, Europe: Finland, Russia, Estonia, Poland, Italy; US: Colorado, Kansas; Mexico: Puebla, Morelos, Oaxaca) yielded a total of 49 haplotypes containing 87 polymorphic sites (see Additional file 1). No indels were observed. Of the 12 non-synonymous mutations two (R30K and S291G) are known to be associated with OP resistance [21, 22, 24] of which the major resistance-associated mutation, S291G, was encountered in all populations examined. A third non-synonymous mutation (Y54H) was present in Europe and in the Colorado population. Five non-synonymous mutations (R30K, L50M, P150S, T151S and A238D) were specific to the Colorado population, one (S55A) to the native Kansas population whereas the remaining four (Q3K, P41S, Y205F and A239T) were specific to the native Mexican populations (see Additional file 2). In general, the number of haplotypes as well as polymorphic sites was lower in Europe than in the US or Mexico (Table 1; see Additional file 1). Notably, the Puebla population yielded most of the polymorphism in Mexico (Table 1) and had many (21 of 37) private substitutions. Although the Mexican Morelos and Oaxaca populations each had only 7 polymorphic sites (Table 1) they possessed 12 private and fixed substitutions. There was only one polymorphic synonymous site present in Europe that was not found in the North American populations. In general, haplotypes were not shared among populations. Only three haplotypes (h1, h4 and h7) were common to both Europe and the US. Three haplotypes (h1, h18, h22) were shared between Colorado and Kansas and five (h42, h43, h45, h46, h49) between Morelos and Oaxaca. The DP1 and JHE-b sequences (n = 91 and 39) yielded 56 haplotypes with 67 polymorphic sites, and 38 haplotypes with 32 polymorphic sites, respectively (see Additional file 1). Similar to AChE2, the number of haplotypes and polymorphic sites was, in general, lower in Europe than in North America (Table 1).
The frequency of the OP resistance-associated mutation S291G was very high in the US (94.7%) and in Mexican (100%) whereas it was only 71% in the European beetles. At the genotypic level, 100% of genotypes carried the OP resistance-associated mutation S291G in the North America populations and 88.9% (US) and 100% (Mexico) were homozygotes for this mutation (Figure 1). The frequency of genotypes carrying the S291G mutation was 89% in the European populations, and approximately half (52%) of the beetles were homozygous. There were significant differences in the frequencies of genotypes among European populations (χ2= 16.94, df = 8, P = 0.031). Notably, all individuals in the Finnish population carried S291G whereas the percentage was only 20% in the Italian population (Figure 1). The second resistance associated mutation R30K was found in only two haplotypes (h12, h23) (see Additional file 2) in the Colorado population.
Recombination might have played a role in shaping the genetic variation of the AChE2 locus and may explain the high differentiation among the AChE2 haplotypes. Indeed, GARD identified a breakpoint (Aic = 5110.7, ΔAic = 237.07) in the alignment between nucleotides 685 and 686 with significant topological incongruence at the p-value = 0.01 while no recombination breakpoints were identified in DP1 or JHE-b. Separate haplotype genealogies for the two portions of the AChE2 gene were constructed with HapView  that uses the topology of most parsimonious trees (DNAPARS, PHYLIP Package)  with branch lengths representing haplotype genealogies, i.e. discrete mutational steps. The portion of the gene before the recombination breakpoint contained 37 haplotypes connected by relatively long branches in the haplotype genealogy (Figure 2A). The most common haplotypes in the populations were quite different, separated by 12 mutations. The US and European haplotypes did not form separate clusters but intermingled in the genealogy (Figure 2A). The Mexican Morelos and Oaxaca populations were highly differentiated from other haplotypes, forming a cluster of closely-related haplotypes. The haplotypes that lacked the OP resistance-associated mutation S291G (h22 in US and h2 in Europe) were very different from each other (12 mutational steps, Figure 2A). The portion after the recombination breakpoint showed only 24 haplotypes with the most common haplotypes in the populations being very closely related, differing by only 1 or 2 mutations (Figure 2B).
The LD analysis for AChE2 indicated that the degree of linkage between sites was considerably lower for the North American populations than in Europe, irrespective of whether sites with minor haplotype frequency (<0.1) were excluded or not (Table 2) . In general, the estimated minimum number of recombination events was higher for the North American populations (Rm = 1–7) than in Europe (Rm = 1–2) with the exceptions of the two Mexican populations, Morelos and Oaxaca, where estimated Rm was 1. The degree of linkage between sites was, in general lower in North America than in Europe for the DP1 also (Table 2). The estimated minimum number of recombination events was higher for the North American populations (Rm = 1–5) than in Europe (Rm = 0). Finally, the degree of linkage between sites of JHE-b was low in both North American and European populations and there were no large differences in Rm either (Table 2).
The haplotype genealogy for DP1 sequences showed quite differentiated haplotypes with long branches connecting them (Figure 2C). The most common haplotypes were separated by 3–8 mutation steps. The US and European haplotypes did not form separate clusters but intermingled in the haplotype genealogy while the Mexican Morelos and Oaxaca haplotypes formed a separate group as in the haplotype genealogy for the portion of the AChE2 gene before the recombination breakpoint. Although we did not have an extensive sampling for JHE-b, the haplotype genealogy was similar in structure to the DP1 haplotype genealogy (Figure 2D).
Nucleotide diversity and population genetic structure
There was genetic variation in the AChE2 gene among the invasive Colorado potato beetle populations (Europe and the Colorado population) (Table 1). Genetic diversity tended to be higher in North America than in Europe for both AChE2 and DP1 (Table 1; see Additional file 1 and Additional file 3) but this was statistically significant only for haplotype diversity (Mann–Whitney U-test, P = 0.009-0.047). In general, genetic diversity was highest in the US and in the Mexican Puebla populations, and lowest, especially for the AChE2, in the other two Mexican populations (Table 1; see Additional file 3). Diversity did not differ among European populations (Kolmogorov-Smirnov test, P > 0.245 for all diversity indices and loci). As for JHE-b, there were no significant differences in genetic diversity between North American and European populations (Mann–Whitney U-test, P > 0.275 for all diversity indices). There were no significant differences in diversity indices among genes (Kruskal-Wallis test, P > 0.249 for all diversity indices). For Mexican Morelos and Oaxaca populations, diversity tended to be lowest in the AChE2 gene and highest in the JHE-b gene (Table 1; see Additional file 3).
The AMOVA analysis on AChE2, PD1 and JHE-b sequences showed significant population genetic structure among regions (Europe, US and Mexico) (P = 0.015-0.024) as well as among populations within regions (P < 0.001-0.045) (Table 3). Among-region variation accounted for most of the genetic variation for AChE2 (39.86%) and JHE-b (56.93%) genes while within-population variation accounted for most of the genetic variation for DP1 (43.75%). Although, the number of US populations analysed is lower than that of Europe, these differences are large enough that additional sampling would be unlikely to influence our results. No isolation by distance was detected among European populations. Pairwise Φ ST values for the three loci showed that, in general, the Mexican and the US populations were genetically distinct from European populations, and Mexican populations were genetically distinct from the US populations (Table 4; see Additional file 4). There were few exceptions. There was no significant genetic differentiation between the Colorado and the Estonian populations for AChE2 (Table 4). And the Kansas and Colorado populations were not genetically different from the Estonian and Italian populations for DP1 (see Additional file 4). In Mexico, the Puebla population was genetically different from the Morelos and Oaxaca populations while the latter two populations showed no significant genetic differentiation (see Additional file 4). In the US, the Colorado population was genetically different from the native Kansas population (collected from S. rostratum) only for AChE2. In contrast to North America, the pairwise Φ ST values showed only a few significant differences among European populations, with the Finnish population being genetically differentiated most often. There was a high correlation between Φ ST statistics among populations with the three genes (r = 0.796-0.987).
In general, European and the North American populations were in Hardy-Weinberg equilibrium (H-W- test for populations P > 0.05), except for the Mexican Morelos and Oaxaca populations for AChE2, Oaxaca and Estonian population for DP1, and Oaxaca and Russian populations for JHE-b (P < 0.05). In general, the Mexican populations showed no strong deviations from neutrality expectations for all genes (Table 2; see Additional file 3). Tajima’s D and Fu and Li’s D* were mostly close to zero or slightly positive. Neither US population showed strong deviations from neutrality expectations, Colorado had consistently negative and Kansas positive D and D* values. European populations showed some deviation from neutrality expectations, especially for the AChE2 gene: all neutrality tests were significant for the Finnish and Italian populations while one of the tests was significant for Russia and Estonia (Table 2). All neutrality tests for the DP1 gene were significant for the Polish population while only one was significant for Finland and Italy. There were no strong deviations from neutrality expectations for the JHE-b gene. In contrast to North American populations, most European populations had strong positive neutrality (D and D*) values, indicating an excess of intermediate-frequency variants. An exception was the DP1 gene for which the Russian population had slightly negative (non-significant) values (Table 2). When European populations were pooled, both Tajima’s D (1.848) and Kelly’s ZnS (0.207) were significant when recombination was included in the coalescence simulations.
Contrary to the expectation that the pattern of genetic variability at the AChE2 gene would have been shaped by intense insecticide selection, we found that all genetic variability was associated with the insecticide resistance-associated S291G mutation and that the frequency of this mutation was very high both in the native Mexican and Kansas populations and in the agricultural population in US, though lower in Europe (Figure 1). This lower frequency of S291G among European populations is most likely explained by founder effects associated with the species invasion of Europe (see discussion below) rather than fitness costs of OP resistance in the absence of selection . All three loci showed comparable level of genetic variability with reduced levels of variability in Europe compared to US. There results suggest that pre-invasion history and demographic forces have strongly influenced the evolution of the AChE2 locus in the invasive Colorado potato beetles.
The high frequency of the insecticide resistance-associated S291G mutation in the native beetle populations together with a high number of substantially differentiated haplotypes (Figure 2A) suggest that the glycine form of AChE2 is the ancestral state. This high frequency of S291G could be related to the native beetles’ adaptation to wild Solanaceous plants which, in general, have higher concentrations of steroidal alkaloids than commercial potato plants [44, 45]. Steroidal alkaloids inhibit AChE enzyme and beetle AChE has been shown to be less sensitive to these alkaloids than that of other insects . Thus, most of the observed genetic variation (and the high frequency of S291G) could be related to the beetle’s historical association with alkaloids which caused a pre-adaptation to withstand OP insecticides. Support for this possibility comes from a study on museum samples of blowflies, Lucilia cuprina, in which Hartley et al. suggested that rapid evolution of OP resistance (malathion) was possible due to a high frequency of resistance alleles before the onset of OP selection.
The unexpected high allelic variation in the AChE2 gene in addition to the ancestral origin could be due to recombination or to multiple origins of resistance-associated mutations as suggested in the case of Tribolium castaneum resistance to cyclodiene insecticide . The recombination analysis indicated several recombination events in both the North American and European samples (Table 2) and GARD indicated the presence of a recombination breakpoint in the middle of the AChE2 fragment. The portion of the AChE2 gene after the recombination breakpoint, which is linked to the resistance-associated mutation S291G, showed less allelic variability than the portion before the recombination breakpoint (see Figures 2A and B). This either indicates that selection by OPs could have reduced genetic variability but the variability was subsequentially enhanced by recombination creating the high variability among haplotypes or the portion of the gene linked to the S291G mutation is most constrained. The possibility of multiple origins is difficult to determine since only two susceptible haplotypes have been retained by European and North American populations.
It should be noted that under a scenario in which a beneficial mutation is already relatively common at the onset of positive selection (as it is a likely case in the Colorado potato beetle), the pattern of genetic variation may differ markedly from the classical signature of positive selection , not for example, leading to substantial reduction in genetic diversity (e.g. ). This may partly explain why no clear signs of insecticide selection at the AChE2 locus were observed and most allelic variation at the AChE2 gene in the invasive beetle populations was associated with the resistance-associated mutation. In contrast, for example, in invasive olive fly, Bactrocera oleae, the amount of genetic variation of the Mediterranean populations was reduced in areas of high OP usage with two resistant haplotypes reaching proportions above 60% .
Although the S291G mutation in the AChE2 gene has been associated with OP resistance in the Colorado potato beetle [21, 24, 45], the intensity of OP selection targeting the S291G mutation may have not been as strong as expected. One reason could be that AChE2 may not be the major gene conferring OP insecticide resistance. In a recent paper Revuelta et al. found that the Colorado potato beetle has a second AChE gene that is homologous to the AChE1 of other insects which in some instance has been found to be the main target of OP selection . Moreover, associations between the resistance S291G mutation and the resistant level of beetle populations have not been very strong [48, 49]. Nevertheless, the site-directed mutagenesis has confirmed that the S291G mutation affects the sensitivity of the enzyme to OP insecticides  and thus the AChE2 gene cannot be totally neutral.
Additionally, negative cross-sensitivity and the fact that the sensitivity of insect AChE to various inhibitors depends on different combinations of several other point mutations at the locus  means that selection pressures by OP insecticides and other inhibitors that target AChE may select for different point mutations or combinations of mutations at the AChE locus, adding further complexity to the evolutionary history of the locus. For instance, kinetic analyses have indicated that the R30K mutation, in combination with the S291G, enhances AChE2 insensitivity in the beetle , whereas a second (I392T) mutation modifies the AChE2 to be susceptible to organophosphates (azinphosmethyl in particular). The exact mechanisms responsible for the mutations’ resistance enhancement/reduction are still unknown. The R30K resistance-associated mutation was very rare in our sample (1%) and found only in Colorado (Table 2) indicating either that the mutation is relatively new or is counter-selected due to the fitness costs . Unfortunately, the AChE2 sequence we amplified did not include the whole gene, including the I392T mutation, and thus we could not examine the presence of this mutation and other possible mutations elsewhere at the locus. We found another relatively common non-synonymous mutation (Y205F) previously not-described which was fixed in Mexican Morelos and Oaxaca populations. It is unlikely that this mutation affects the function of AChE2 as both tyrosine and phenylalanine have closely similar chemical properties. It is also noted that selection by OPs may have also targeted other resistance mechanisms e.g. enhanced detoxification (reviewed in ), which may complicate the situation even further.
The higher frequency of susceptible haplotypes (i.e. serine form of AChE2) among the invasive agricultural populations in Colorado and Europe is intriguing. It could be explained by a relaxation of selection by the original host plant (S. rostratum) when the beetle expanded its host range onto cultivated potatoes. In other words, serine form of AChE2 would be the derived form. An interesting scenario, albeit still hypothetical in the light of this data, is that the switch to commercial potato could have counter-selected the glycine form of AChE2, whereas the later usage of OP insecticides could have selected for the S291G mutation restoring the frequency of the ancestral genotype. A historical survey of the frequency of the S291G mutation could reveal whether this hypothesis is true.
The level of genetic variation in the AChE2 gene (Table 1) was about three times higher than the mtDNA variability in the same populations , but similar to that found in the other two nuclear genes, DP1 and JHE-b. There was a high correlation between Φ ST statistics among populations with the three genes indicating that all three have been affected by similar evolutionary forces. The North American populations were highly genetically differentiated from each other for all three loci examined. The agricultural population in Colorado showed high diversity, similar to the population in Kansas collected on S. rostratum. The two populations also shared several haplotypes for all genes analysed suggesting that the switch to potatoes resulted in a large founder population and/or multiple host expansions occurred. The European populations instead showed a strong founder event with a considerable reduction in the genetic variability at all loci (see also ). Compared to the North American population, European beetles have lost rare variants and rare mutations (Table 1, Figure 2), which is typical for populations that have experienced a founder event . The bottleneck experienced during the invasion of Europe may also explain the lack of structure among the European populations. In addition to the founder event, the surfing of a few variants on the wave front of the expanding invasive population, reaching relatively high frequencies, could explain the lower genetic variability in Europe [16, 50]. These general conclusions are unlikely to be changed by additional sampling. Sampling additional populations in Europe would unlikely lead to an accumulation of additional haplotypes. Although we had only one agricultural population analysed from US, this was the most variable population according to an AFLP and mtDNA survey . Furthermore, our results are also in agreement with those obtained with AFLPs and mtDNA  where more populations in US were sampled. Finally, the differences in the distribution of genetic variation among and within regions are large enough that additional sampling would be unlikely to influence our results.
Examining both native and invasive pest populations can provide important insights on the origins of insecticide resistance mutations and how selection and demographic events modify patterns of genetic variability [10, 13]. Here, we have shown that despite the long history of organophosphate (OP) use in the invasive Colorado potato beetle populations, the genetic variability in the AChE2 gene associated with resistance to OP insecticides has been strongly influenced by the pre-invasion history of the species and demographic events. The high frequency of the S291G mutation in the AChE2 gene among native populations suggests this mutation is the ancestral state and thus, either a pre-adaptation of the beetle for OP resistance or alternatively AChE2 is not the main gene conferring OP resistance. The present high genetic variability at the AChE2 gene could be due to the enduring relationship with host plant alkaloids before the onset of insecticide use and possibly due to recombination events. The genetic diversity in the AChE2 locus of European beetles strongly reflects founder effects followed by rapid invasion. Our study is a snapshot of the genetic variation as it involves only three genes. It is therefore possible that selection by OP insecticides could show signature elsewhere in the genome. The new omics techniques will allow to test variation as well function of genes and genes network, and thus reveal the effects of insecticide selection at the whole genome level.
Beetles were collected from five regions in Europe: Russia (60°43’N, 33°33’E), Finland (61°41’N, 27°15’E), Estonia (58°23’N, 26°43’E), Poland (53°23’N, 14°32’E) and Italy (45°33’N, 11°33’E) (in all populations n = 10) in 2003. In North America, beetles were collected from two regions in the US: Colorado (40°55’N, 105°07’W) in 2003 and Kansas (38°52’N, 99°19’W) in 2010, and from three regions in Mexico: Puebla (19°01’N, 97°57’W), Morelos (18°47’N, 99°17’W), and Oaxaca (16°43’N, 96°41’W) in 2010 (in all populations n = 10). The Colorado population was chosen for its high levels of genetic variation in AFLP markers , and because Colorado presumably was one of the first sites of US invasion . The Kansas and Mexican beetle populations live on the wild relatives of potato, S. rostratum (Morelos, Oaxaca and Kansas) and S. angustifolium (Puebla). They represent native populations not adapted to use potato as a host  and not exposed to insecticide selection. In Mexico, beetles are very host specific  and have never been found on potatoes and are not pests of potato [31, 53]. Also, the beetle samples collected in Mexico (Morelos, Oaxaca, Puebla) were far from the potato growing regions (Toluca), and thus, unlikely to be exposed to insecticides. Also, the beetles in Kansas were collected from rangelands, where potatoes are not grown.
Total genomic DNA was obtained from the legs of beetle individuals. DNA extraction was performed using the DNeasy Tissue Kit (QIAGEN) according to the manufacturer’s protocol. The purification of the lysate was performed with a slight modification from the protocol in which magnetic particles (MagAttract® Suspension G, QIAGEN) were used to shift DNA through purification phases using a Kingfisher (ThermoScientific) automated purification system. Primers used in the amplification of gene sequences were obtained from previously described primers [40, 54] as well as designed from the published AChE2, DP1 and JHE Colorado potato beetle genes available from Genbank [Genbank: L41180.1, X86074.1]. For primer sequences, PCR mixture and thermal cycle programs, see Additional file 5. ExoI-SAP (Amersham Biosciences) was used to purify the PCR products. Sequencing reactions were performed using the BigDye® Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems) and were run on an ABI 3100 automated sequencer. In general, amplification success was variable. For each of the AChE2, DP1 and JHE genes, we were able to obtain sequence data from 98, 91 and 69 individuals of the 100 individuals included in the study, respectively. As for JHE, we obtained the JHE-b form of the gene  for 49 individuals and the JHE-a form for 20 individuals. Therefore, only the JHE-b form was used in this study.
SeqScape v2.1.1 (Applied Biosystems) was used to assemble and align the sequences. As for AChE2, we obtained a 1037 bp long fragment consisting of a short noncoding region [sites 20–109; nucleotide sites were numbered according to the published Colorado potato beetle AChE cDNA sequence  and a coding region (sites 110–1057) spanning exon 2 to exon 5 of Drosophila melanogaster AChE. As for DP1, we obtained a 931 bp long fragment consisting of exon 2 [sites 2664–2769; nucleotide sites according to the published Colorado potato beetle DP1 DNA sequence ], a short intron (sites 2770–2827) and part of exon 3 (sites 2828–3594). As for JHE-b, we obtained a 1550 bp long fragment (sites 25–1575; nucleotide sites according to . Because the quality of the sequence data for many JHE-b samples was poor, we included a 583 bp long fragment (sites 58–641) from 39 individuals (5 populations) in the analyses. No introns were observed in the fragment of the AChE and JHE-b genes sequenced from the beetle.
Haplotypes were inferred from genotypic data using the program PHASE 2.1.1  which is a Bayesian statistical method for reconstructing haplotypes. Nineteen (AChE2) and 17 (DP1) individuals, in which the haplotypes could not be inferred reliably by PHASE, were cloned to determine the correct phase of the variable sites. The PCR mix and cycles were as described in Additional file 5 except that the primers used in the amplification of AChE2 had no M13 tails. The PCR products were purified according to the manufacturer’s instructions using the Qiaquick® PCR purification Kit (QIAGEN) (for AChE2) or GeneJET Gel Extraction Kit (Fermentas) (for DP1). The ligation and transformation were performed according to the manufacturer’s instructions using Qiagen PCR Cloning Kit (QIAGEN) and Qiagen EZ competent cells (for AChE2) or CloneJET PCR Cloning Kit (Fermentas) with NovaBlue Singles cells (Novagen) (for DP1). The PCR mixes used to amplify the cloned inserts were as described in Additional file 5 but the primers were M13 for AChE2 and pJET1.2 for DP1. The PCR cycle programs to amplify cloned inserts are described in Additional file 5 and the PCR products were purified and sequenced as described above. Sequences were deposited in GenBank, [GenBank: GU066317 - GU066339, KC342668-KC342788].
The following diversity indices were calculated using DNASP 4.10.9 : nucleotide diversity (π) , allele diversity (h) , the average number of nucleotide differences (k)  and the Watterson estimator theta (per site) (θW) .
To assess whether recombination has had a significant role in shaping genetic variation, we estimated the degree of linkage disequilibrium (LD) by D  and its standardized coefficient D’  obtained with the program DNASP. Statistical significance was tested between all pairs of polymorphic sites in each population and for European populations pooled together with the two-tailed Fisher’s exact test . A Bonferroni correction for multiple comparisons was performed . The recombination parameter, R, was estimated by Hudson’s  method. The minimum number of recombination events in the history of the sample, Rm, was obtained using the four-gamete test . The confidence limits for Rm were obtained by incorporating recombination in to the simulations implemented in the DNASP (10000 replicates). Finally, we estimated the number and the position of possible breakpoints using the GARD  included in the on-line DataMonkey package http://www.datamonkey.org, ]. The method screens the multiple-sequence alignments for recombination by searching for evidence of segment-specific phylogenies and assesses goodness-of-fit using an information-based criterion. Departures from Hardy-Weinberg equilibrium were tested in each population with the program ARLEQUIN 3.1 . Haplotype genealogies were constructed with HapView . The parsimonous trees were first constructed with DNAPARS program [PHYLIP package ] run from Hapview. Then a consensus tree was constructed with CONSENSE in PHYLIP package. This approach was adopted as phylogenetic reconstruction methods have been shown to perform better than commonly used haplotype network constructing methods for highly genetically divergent haplotype sequence data .
We performed a hierarchical analysis of molecular variance (AMOVA)  computed with ARLEQUIN to estimate the level of differentiation among populations and between regions. We grouped the populations according to the geographic areas (Mexico, US and Europe), which represent also the different stages of beetle’s invasion. Population pair-wise Φ ST values for each locus were performed with ARLEQUIN (number of permutations 10000). To test whether genetic distance correlated with geographical distance among European populations, and whether population pair-wise Φ ST values correlated among populations with genes, a Mantel test was conducted with the program FSTAT 2.9.3  using 10000 randomizations. Geographic distances (kilometers) were entered as log transformed. Φ ST and Reynold’s distance values for European populations were obtained with ARLEQUIN.
Tests of selective neutrality were analysed with the program DNASP to assess whether the observed frequency distribution of nucleotide polymorphism departs from neutral expectations. Neutrality tests performed included Tajima’s D , Fu and Li’s D*  and Kelly’s ZnS . The Tajima’s D test compares differences between the number of segregating and the average number of nucleotide differences. It is sensitive to the excess of rare variants (observed after a selective sweep). Fu and Li’s D* test works in a similar manner to the D test where D* is based on the differences between the number of singletons (new mutations) and the total number of mutations, thus, being more sensitive to positive selection than the D test. Kelly’s ZnS statistic tests for the excess of linkage disequilibrium compared with that expected under neutrality. The confidence limits (and the P values) for neutrality test statistics were obtained by coalescent simulations with and without recombination (number of replicates as above).
Nielsen R: Statistical tests of selective neutrality in the age of genomics. Heredity. 2001, 86: 641-647. 10.1046/j.1365-2540.2001.00895.x.
McKenzie JA: Pesticide resistance. Evolutionary Ecology; Concepts and Case Studies. Edited by: Fox CA, Rolf DA, Fairbairn DJ. 2001, New York: Oxford University Press, 347-360.
Georghiou GP: The magnitude of the resistance problem. Pesticide Resistance: Strategies and Tactics for Management. 1986, Washington, D.C: National Academy Press, 14-43.
Daborn PJ, Yen JL, Bogwitz MR, Le Goff G, Feil E, Jeffers S, Tijet N, Perry T, Heckel D, Batterham P, Feyereisen R, Wilson TG, Ffrench-Constant RH: A single P450 allele associated with insecticide resistance in Drosophila. Science. 2002, 297: 2253-2256. 10.1126/science.1074170.
Ffrench-Constant RH, Daborn PJ, Goff GL: The genetics and genomics of insecticide resistance. Trends Genet. 2004, 20: 163-170. 10.1016/j.tig.2004.01.003.
Labbé P, Berticat C, Berthomieu A, Unal S, Bernard C, Weill M, Lenormand T: Forty years of erratic insecticide resistance evolution in the mosquito Culex pipiens. PLoS Genet. 2007, 3: 2190-2199.
Catania F, Kauer MO, Daborn PJ, Yen JL, Ffrench-Constant RH, Schloetterer C: World-wide survey of an Accord insertion and its association with DDT resistance in Drosophila melanogaster. Mol Ecol. 2004, 13: 2491-2504. 10.1111/j.1365-294X.2004.02263.x.
Nardi F, Carapelli A, Vontas JG, Dallai R, Roderick GK, Frati F: Geographical distribution and evolutionary history of organophosphate-resistant Ace alleles in the olive fly (Bactrocera oleae). Insect Biochem Mol Biol. 2006, 36: 593-602. 10.1016/j.ibmb.2006.05.002.
Maynard-Smith J, Haigh J: Hitch-hiking effect of a favorable gene. Genet Res. 1974, 23: 23-35. 10.1017/S0016672300014634.
Newcomb RD, Gleeson DM, Yong CG, Russell RJ, Oakeshott JG: Multiple mutations and gene duplications conferring organophosphorus insecticide resistance have been selected at the Rop-1 locus of the sheep blowfly, Lucilia cuprina. J Mol Evol. 2005, 60: 207-220. 10.1007/s00239-004-0104-x.
Hermisson J, Pennings PS: Soft sweeps: molecular population genetics of adaptation from standing genetic variation. Genetics. 2005, 169: 2335-2352. 10.1534/genetics.104.036947.
Przeworski M, Coop G, Wall JD: The signature of positive selection on standing genetic variation. Evolution. 2005, 59: 2312-2323.
Hartley CJ, Newcomb RD, Russell RJ, Yong CG, Stevens JR, Yeates DK, La Salle J, Oakeshott JG: Amplification of DNA from preserved specimens shows blowflies were preadapted for the rapid evolution of insecticide resistance. Proc Natl Acad Sci USA. 2006, 103: 8757-8762. 10.1073/pnas.0509590103.
Piccinali RV, Mascord LJ, Barker JSF, Oakeshott JG, Hasson E: Molecular population genetics of the α-esterase5 gene locus in original and colonized populations of Drosophila buzzatii and its sibling Drosophila koepferae. J Mol Evol. 2007, 64: 158-170. 10.1007/s00239-005-0224-y.
Sakai AK, Allendorf FW, Holt JS, Lodge DM, Molofsky J, With KA, Baughman S, Cabin RJ, Cohen JE, Ellstrand NC, McCauley DE, Neil P, Parker IM, Thompson JN, Weller SG: The population biology of invasive species. Ann Rev Ecol Syst. 2001, 32: 305-332. 10.1146/annurev.ecolsys.32.081501.114037.
Excoffier L, Foll M, Petit R: Genetic consequences of range expansions. Annu Rev Ecol Evol Syst. 2009, 40: 481-501. 10.1146/annurev.ecolsys.39.110707.173414.
Ffrench-Constant RH, Rocheleau TA, Steichen JC, Chalmers AE: A point mutation in a Drosophila GABA receptor confers insecticide resistance. Nature. 1993, 363: 449-451. 10.1038/363449a0.
Menozzi P, Shi M, Lougarre A, Tang Z, Fournier D: Mutations of acetylcholinesterase which confer insecticide resistance in Drosophila melanogaster populations. BMC Evol Biol. 2004, 4: 1-7. 10.1186/1471-2148-4-1.
Chevillon C, Raymond M, Guillemaud T, Lenormand T, Pasteur N: Population genetics of insecticide resistance in the mosquito Culex pipiens. Biol J Linn Soc. 1999, 68: 147-157. 10.1111/j.1095-8312.1999.tb01163.x.
Mutero A, Pralavorio M, Bride JM, Fournier D: Resistance-associated point mutations in insecticide-insensitive acetylcholinesterase. Proc Natl Acad Sci USA. 1994, 91: 5922-5926. 10.1073/pnas.91.13.5922.
Zhu KY, Lee SH, Clark JM: A point mutation of acetylcholinesterase associated with azinphosmethyl resistance and reduced fitness in Colorado potato beetle. Pestic Biochem Physiol. 1996, 55: 100-108. 10.1006/pest.1996.0039.
Zhu KY, Clark JM: Validation of a point mutation of acetylcholinesterase in Colorado potato beetle by polymerase chain reaction coupled in enzyme inhibition assay. Pestic Biochem Physiol. 1997, 57: 28-35. 10.1006/pest.1997.2252.
Kim HJ, Dunn JB, Yoon KS, Clark JM: Target site insensitivity and mutational analysis of acetylcholinesterase from a carbofuran-resistant population of Colorado potato beetle, Leptinotarsa decemlineata (Say). Pestic Biochem Physiol. 2006, 84: 165-179. 10.1016/j.pestbp.2005.07.006.
Kim HJ, Yoon KS, Clark JM: Functional analysis of mutations in expressed acetylcholinesterase that result in azinphosmethyl and carbofuran resistance in Colorado potato beetle. Pestic Biochem Physiol. 2007, 88: 181-190. 10.1016/j.pestbp.2006.11.004.
Lee SH, Dunn JB, Clark JM, Soderlund DM: Molecular analysis of kdr-like resistance in a permethrin-resistant strain of Colorado potato beetle. Pestic Biochem Physiol. 1999, 63: 63-75. 10.1006/pest.1999.2395.
Argentine JA, Lee SH, Sos MA, Barry SR, Clark JM: Permethrin resistance in a near isogenic strain of Colorado potato beetle. Pestic Biochem Physiol. 1995, 53: 97-115. 10.1006/pest.1995.1058.
PAN - Pesticide action network UK: Organophosphate insecticides. Pesticides News. 1996, 34: 20-21.
Forgash AJ: Insecticide resistance in the Colorado potato beetle. Proceedings of the Symposium on the Colorado potato beetle. XVII International Congress of Entomology. Edited by: Ferro DN, Voss RH. 1985, Amherst: University of Massachusetts, 33-53.
Alyokhin A, Baker M, Mota-Sanchez D, Dively G, Grafius E: Colorado potato beetle resistance to insecticides. Am J Pot Res. 2008, 85: 395-413. 10.1007/s12230-008-9052-0.
Kono Y, Tomita T: Amino acid substitutions conferring insecticide insensitivity in Ace-paralogous acetylcholinesterase. Pestic Biochem Physiol. 2006, 85: 123-132. 10.1016/j.pestbp.2005.12.002.
Casagrande RA: The Colorado potato beetle: 125 years of mismanagement. Bull Entomol Soc Am. 1987, 33: 142-150.
EPPO: Distribution Maps of Quarantine Pests for Europe, Leptinotarsa Decemlineata. 2006, Nottingham, UK: ADAS
Boman S, Grapputo A, Lindström L, Lyytinen A, Mappes J: Quantitative genetic approach for assessing invasiveness: geographic and genetic variation in life-history traits. Biol Invasions. 2008, 10: 1135-1145. 10.1007/s10530-007-9191-0.
Grapputo A, Boman S, Lindström L, Lyytinen A, Mappes J: The voyage of an invasive species across continents: genetic diversity of North American and European Colorado potato beetle populations. Mol Ecol. 2005, 14: 4207-4219. 10.1111/j.1365-294X.2005.02740.x.
Lyytinen A, Lindström L, Mappes J: Genetic variation in growth and development time under two selection regimes in Leptinotarsa decemlineata. Entomol Exp Appl. 2008, 127: 157-167. 10.1111/j.1570-7458.2008.00685.x.
Hare JD: Ecology and management of the Colorado potato beetle. Annu Rev Entomol. 1990, 35: 81-100. 10.1146/annurev.en.35.010190.000501.
Alyokhin A, Udalov M, Benkovskaya G: The Colorado potato beetle. Insect Pests of Potato. Global Perspectives on Biology and Management. Edited by: Giordanengo P, Vincent P, Alyokhin A. 2013, Oxford, UK: Academic Press, 11-29.
Koopmanschap AB, Lammers JHM, de Kort CAD: The structure of the gene encoding diapause protein 1 of the Colorado potato beetle (Leptinotarsa decemlineata). J Insect Physiol. 1995, 41: 509-518. 10.1016/0022-1910(94)00130-9.
Vermunt AMW, Koopmanschap AB, Vlak JM, De Kort CAD: Cloning and sequence analysis of cDNA encoding a putative juvenile hormone esterase from the Colorado potato beetle. Insect Biochem Mol Biol. 1997, 27: 919-928.
Vermunt AMW, Koopmanschap AB, Vlak JM, De Kort CAD: Evidence for two juvenile hormone esterase-related genes in the Colorado potato beetle. Insect Mol Biol. 1998, 7: 327-336. 10.1046/j.1365-2583.1998.740327.x.
Salzburger W, Ewing GB, Haeseler A: The performance of phylogenetic algorithms in estimating haplotype genealogies with migration. Mol Ecol. 2011, 20: 1952-1963. 10.1111/j.1365-294X.2011.05066.x.
Felsenstein J: PHYLIP - phylogeny inference package (version 3.2). Cladistics. 1989, 5: 164-166.
Argentine JA, Clark JM, Ferro DN: Relative fitness of insecticide-resistant Colorado potato beetle strains (Coleoptera: Chrysomelidae). Environ Entomol. 1989, 18: 705-710.
Wierenga JM, Hollingworth RM: Inhibition of insect acetylcholinesterase by the potato glycoalkaloid alpha-chaconine. Nat Toxins. 1992, 1: 96-99. 10.1002/nt.2620010207.
Zhu KY, Clark JM: Comparisons of kinetic properties of acetylcholinesterase purified from azinphosmethyl-susceptible and resistant strains of Colorado potato beetle. Pestic Biochem Physiol. 1995, 51: 57-67. 10.1006/pest.1995.1007.
Revuelta L, Ortego F, Díaz-Ruís P, Castañera F, Tenllado P, Hernández-Crespo P: Contribution of Ldace1 gene to acetylcholinesterase activity in Colorado potato beetle. Insect Biochem Mol Biol. 2011, 41: 795-803. 10.1016/j.ibmb.2011.06.001.
Baek JH, Kim JI, Lee DW, Chung BK, Miyata T, Lee SH: Identification and characterization of ace1-type acetylcholinesterase likely associated with organophosphate resistance in Plutella xylostella. Pestic Biochem Physiol. 2005, 81: 164-175. 10.1016/j.pestbp.2004.12.003.
Jiang W, Guo W, Lu W, Shi X, Xiong M, Wang Z, Li G: Target site insensitivity mutations in the AChE and LdVssc1 confer resistance to pyrethroids and carbamates in Leptinotarsa decemlineata in northern Xinjiang Uygur autonomous region. Pestic Biochem Physiol. 2011, 100: 74-81. 10.1016/j.pestbp.2011.02.008.
Zichová T, Kocourek F, Salava J, Nad’ová K, Stará J: Detection of organophosphate and pyrethroid resistance alleles in Czech Leptinotarsa decemlineata (Coleoptera: Chrysomelidae) populations by molecular methods. Pest Manag Sci. 2010, 66: 853-860.
Klopfstein S, Currat M, Excoffier L: Tha fate of mutations surfing on the wave of a range expansion. Mol Biol Evol. 2006, 23: 482-490.
Tower WL: An Investigation of Evolution in Chrysomelid Beetles of the Genus Leptinotarsa. 1906, Washington, D.C.: Carnegie Institution
Lu W, Logan P: Inheritance of host-related feeding and ovipositional bahaviors in Leptinotarsa decemlineata (Coleoptera: Chrysomelidae). Environ Entomol. 1995, 24: 278-287.
Alyokhin A, Chen YH, Udalov M, Benkovskaya G, Lindström L: Evolutionary considerations in potato pest management. Insect Pests of Potato. Global Perspectives on Biology and Management. Edited by: Giordanengo P, Vincent C, Alyokhin A. 2013, Oxford, UK: Academic Press, 543-571.
Clark JM, Lee SH, Kim HJ, Yoon KS, Zhang AG: DNA-based genotyping techniques for the detection of point mutations associated with insecticide resistance in Colorado potato beetle Leptinotarsa decemlineata. Pest Manag Sci. 2001, 57: 968-974. 10.1002/ps.369.
Zhu KY, Clark JM: Cloning and sequencing of a cDNA encoding acetylcholinesterase in Colorado potato beetle, Leptinotarsa decemlineata (say). Insect Biochem Mol Biol. 1995, 25: 1129-1138. 10.1016/0965-1748(95)00055-0.
Fournier D, Karch F, Bride JM, Hall LM, Berge JB, Spierer P: Drosophila melanogaster acetylcholinesterase gene: structure, evolution and mutations. J Mol Biol. 1989, 210: 15-22. 10.1016/0022-2836(89)90287-8.
Stephens M, Smith NI, Donnelly P: A new statistical method for haplotype reconstruction from population data. Am J Hum Genet. 2001, 68: 978-989. 10.1086/319501.
Rozas J, Sanchez-DelBarrio JC, Messeguer X, Rozas R: DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics. 2003, 19: 2496-2497. 10.1093/bioinformatics/btg359.
Nei M: Molecular Evolutionary Genetics. 1987, New York: Columbia University Press
Tajima F: Evolutionary relationship of DNA-sequences in finite populations. Genetics. 1983, 105: 437-460.
Watterson GA: Number of segregating sites in genetic models without recombination. Theor Popul Biol. 1975, 7: 256-276. 10.1016/0040-5809(75)90020-9.
Lewontin RC, Kojima K: The evolutionary dynamics of complex polymorphisms. Evolution. 1960, 14: 458-472. 10.2307/2405995.
Lewontin RC: Interaction of selection and linkage. I. General considerations; heterotic models. Genetics. 1964, 49: 49-67.
Sokal RR, Rohlf FJ: Biometry. 1981, New York: W.H. Freeman and Company, 2
Weir BS: Genetic Data Analysis II. 1996, Sinauer Associates, Inc., Sunderland
Hudson RR: Estimating the recombination parameter of a finite population model without selection. Genet Res. 1987, 50: 245-250. 10.1017/S0016672300023776.
Hudson RR, Kaplan NL: Statistical properties of the number of recombination events in the history of a sample of DNA sequences. Genetics. 1985, 111: 147-164.
Kosakovsky Pond SL, Posada D, Gravenor MB, Woelk CH, Frost SDW: GARD: a genetic algorithm for recombination detection. Bioinformatics. 2006, 22: 3096-3098. 10.1093/bioinformatics/btl474.
Kosakovsky Pond SL, Frost SDW: Datamonkey: rapid detection of selective pressure on individual sites of codon alignments. Bioinformatics. 2005, 21: 2531-2533. 10.1093/bioinformatics/bti320.
Excoffier L, Laval G, Schneider S: Arlequin ver. 3.0: An integrated software package for population genetics data analysis. Evol Bioinf. 2005, 1: 47-50.
Excoffier L, Smouse PE, Quattro JM: Analysis of molecular variance inferred from metric distances among DNA haplotypes - Application to human mitochondrial-DNA restriction data. Genetics. 1992, 131: 479-491.
Goudet J: FSTAT, a program to estimate and test gene diversities and fixation indices (version 2.9.3). 2001, http://www2.unil.ch/popgen/softwares/fstat.htm,
Tajima F: Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989, 123: 585-595.
Fu Y, Li W: Statistical tests of neutrality of mutations. Genetics. 1993, 133: 693-709.
Kelly JK: A test of neutrality based on interlocus associations. Genetics. 1997, 146: 1197-1206.
We thank Maria Pawinska, Kylli Hiessaar, Pekka Honkala, Whitney Cranshaw and Andrea Pilastro for providing beetles. Mats Björklund, Emily Knott, Juan Galarza, Giorgio Bertorelle, Journal Club members and two anonymous reviewers gave valuable comments on the manuscript. We also thank Maxine Iversen for language correction. Sari Viinikainen provided technical help in the laboratory. The study was financed by the Academy of Finland (project numbers 118456 & 131406), the Centre of Excellence in Evolutionary Research and University of Padua Institutional research grants ex60% 2010.
The authors declare that they have no competing interests.
SP, LL, AL, JM and AG designed the study. LL, JM, YHC, VI and AG collected the samples. SP and AG carried out the experimental work, performed the analyses and drafted the manuscript. LL, AL, JM, YHC and VI participated in the draft of the manuscript. All authors contributed and approved to the final version of the manuscript.
Electronic supplementary material
Additional file 2: AChE2 variants in North American and European Colorado potato beetle populations.(PDF 23 KB)
Additional file 3: W , Watterson’s theta estimate) and neutrality tests (Tajima’s D, Fu and Li’s D*) for Mexican, US, and European Colorado potato beetle populations.(PDF 106 KB)
Additional file 4: Φ ST ) for (a) DP1 and (b) JHE-b loci between European and North American Colorado potato beetle populations.(PDF 47 KB)
Additional file 5: AChE2, DP1 and JHE-b genes.(PDF 18 KB)
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Piiroinen, S., Lindström, L., Lyytinen, A. et al. Pre-invasion history and demography shape the genetic variation in the insecticide resistance-related acetylcholinesterase 2 gene in the invasive Colorado potato beetle. BMC Evol Biol 13, 13 (2013). https://doi.org/10.1186/1471-2148-13-13
- Diapause protein 1
- Invasion biology
- Invasive species
- Juvenile hormone esterase
- Pesticide resistance
- Resistance evolution