There is increased concern with the development of resistance to insecticidal proteins currently expressed in crop plants, especially against high-resistance-risk pests such as fall armyworm (FAW), Spodoptera frugiperda, a maize pest that already has developed resistance to Bacillus thuringiensis (Bt) proteins such as Cry1F. Lepidopteran-specific proteins that bind new insect receptors will be critical in managing current Cry1F-resistant FAW and delaying future resistance development. Results from resistant insect assays, disabled insecticidal protein (DIP) bioassays, and cell-based assays using insect cells expressing individual receptors demonstrate that target receptors of the Cry1Da_7 and Cry1B.868 proteins are different from each other and from those of commercially available Bt proteins such as Cry1F, Cry1A.105, Cry2Ab, and Vip3A. Therefore, pyramiding these two new proteins in maize will provide durable control of this economically important pest in production agriculture.
KEYWORDS: Bacillus thuringiensis, Bt toxin, Cry1B.868, Cry1Da_7, disabled insecticidal protein, insect resistance, mechanisms of action, mode of action
ABSTRACT
Two new modified Bacillus thuringiensis (Bt) proteins, Cry1Da_7 and Cry1B.868, with activity against fall armyworms (FAW), Spodoptera frugiperda (J.E. Smith), were evaluated for their potential to bind new insect receptors compared to proteins currently deployed as plant-incorporated protectants (PIPs) in row crops. Results from resistant insect bioassays, disabled insecticidal protein (DIP) bioassays, and cell-based assays using insect cells expressing individual receptors demonstrate that receptor utilizations of the newly modified Cry1Da_7 and Cry1B.868 proteins are distinct from each other and from those of commercially available Bt proteins such as Cry1F, Cry1A.105, Cry2Ab, and Vip3A. Accordingly, these two proteins target different insect proteins in FAW midgut cells and when pyramided together should provide durability in the field against this economically important pest.
IMPORTANCE There is increased concern with the development of resistance to insecticidal proteins currently expressed in crop plants, especially against high-resistance-risk pests such as fall armyworm (FAW), Spodoptera frugiperda, a maize pest that already has developed resistance to Bacillus thuringiensis (Bt) proteins such as Cry1F. Lepidopteran-specific proteins that bind new insect receptors will be critical in managing current Cry1F-resistant FAW and delaying future resistance development. Results from resistant insect assays, disabled insecticidal protein (DIP) bioassays, and cell-based assays using insect cells expressing individual receptors demonstrate that target receptors of the Cry1Da_7 and Cry1B.868 proteins are different from each other and from those of commercially available Bt proteins such as Cry1F, Cry1A.105, Cry2Ab, and Vip3A. Therefore, pyramiding these two new proteins in maize will provide durable control of this economically important pest in production agriculture.
INTRODUCTION
Maize (Zea mays L. subsp. mays) is an important food source globally for both humans and animals. Since its introduction in Central America more than 7,000 years ago, its cultivation has spread across 175 million ha in over 20 countries by 2017 (1–3). The largest maize producers, the United States (33.84 million ha) and Brazil (17.55 million ha) (3), have quickly adopted improved crop protection practices, as almost a third of the attainable yield is lost due to pests, including 16% due to animal pests (4). This is especially important in Brazil and other tropical and subtropical environments, where insect pests such as fall armyworms (FAW), Spodoptera frugiperda, produce numerous generations per year on multiple host plants (5, 6), inflicting significant economic losses to farmers (7) and increasing the risk of insecticide resistance development (8). To mitigate these impacts on their harvests, farmers in the United States and Brazil use insect-protected (IP) maize that expresses Bacillus thuringiensis (Bt) proteins, comprising the majority of the total maize in cultivation (80% in the United States and 85% in Brazil) in 2017 (3). FAW are indigenous to the tropical regions of the Western Hemisphere and have recently been detected attacking maize plants in several sub-Saharan African countries as well as in Asia (9–15). Current IP maize products commercially available in Brazil and in Argentina to control FAW express one or combinations of distinct Bt proteins, including Cry1Ab, Cry1A.105, Cry1F, Cry2Ab, and Vip3A (16). Broad adaptation of a single insecticidal trait increases the risk of resistance development; FAW resistance to maize expressing Cry1F has been reported in Puerto Rico, Argentina, Brazil, and the United States (17–20). Cross-resistance to Cry1A proteins, including Cry1Ab, Cry1Ac, and Cry1A.105, has been observed for a colony isolated from the Puerto Rico population (21–24), underscoring the need to continue developing insecticidal proteins with new receptor preferences that are effective against this resistant insect. Several proteins from the Cry1B, Cry1C, and Cry1D subclasses are toxic to FAW (25, 26), and the commercial Bt formulation XenTari WG, containing Cry1C and Cry1D proteins, has been shown to control Cry1F-resistant FAW in diet bioassays (21, 26–29). This example demonstrates the potential value in deploying different Cry1 insecticidal protein subclasses in transgenic crops to overcome field resistance to other Cry1 subclasses primarily based on differences in receptor binding (30). Therefore, knowledge of the specific receptor utilization step in the overall mechanism of action (MOA) of pore-forming insecticidal proteins is a key component in deploying new IP maize products for increased durability (31–34). There are several methods used to study the receptor utilization of insecticidal proteins, including ligand blots (35, 36), in vitro binding experiments with labeled insecticidal proteins (30) and isolated insect gut brush border membrane vesicle (BBMV) preparations (37), pulldown experiments using immobilized or immunoprecipitated insecticidal proteins (38), insect cell-based assays using cloned insect receptor genes (39, 40), the disabled insecticidal protein (DIP) assay (41), and experiments with resistant insect colonies (42–45). Here, we report the development of two new modified insecticidal proteins for use against FAW, Cry1B.868 and Cry1Da_7, with enhanced specific activity against FAW and corn earworms (CEW), Helicoverpa zea (Boddie), respectively, and our comprehensive assessment of their FAW receptor preferences based on available resistant colonies, DIP assays, and cell-based receptor screens.
RESULTS
Identification of a Cry1B variant with improved toxicity toward FAW.
Chimeric Cry1B proteins exhibiting significantly higher insecticidal activities than the buffer negative control in bioassays at concentrations between 50 and 3,500 ng/cm2 were further characterized by bioassays following sucrose gradient purification of the crystalline inclusions, and the highest specific insecticidal activity was observed for Cry1B.868, which comprises domain 1 (D1) and domain 2 from Cry1Be2 (M1 to I503), domain 3 from Cry1Ca1 (N468 to N633), and the C-terminal protoxin moiety (domains 4 to 7) from Cry1Ab3 (E626 to E1155) (see Fig. S1 in the supplemental material). Cry1B.868 exerted mortality and developmental delay on FAW (and other lepidopteran insects [not shown]) at concentrations between 100 and 34,500 ng/cm2 (Fig. S2). Its MIC50 of 430 ng/cm2 against FAW using gradient-purified protein suggested an 8-fold improvement in specific activity toward this insect compared to the parental Cry1Be2 protein (Fig. S3).
Identification of a Cry1Da variant with improved toxicity toward Helicoverpa zea.
Cry1Da.844_8 containing the S282V, Y316S, and I368P amino acid substitutions (Fig. S4) exhibited a 50-fold improvement in activity toward CEW (Fig. S5A) while maintaining toxicity toward FAW. The S282V, Y316S, and I368P mutations were also transferred back to the parent sequence, Cry1Da1, and the resulting variant was designated Cry1Da_7 (Fig. S4). The Cry1Da.844_8 and Cry1Da_7 proteins have 100% sequence identity in domains 1 to 3, and the full-length proteins were observed to readily undergo proteolysis using trypsin (data not shown). The resulting activated cores are comprised of the same pore-forming domain (D1) and same putative receptor biding domains (D2 and D3); correspondingly, their receptor utilizations were expected to be the same. The FAW activities of the Cry1Da_7 proteins with and without preproteolysis were comparable, suggesting that their PTX domains (domains 4 to 7) do not impact their stability or their receptor utilization in feeding assays (Fig. S5B). Consistent with this observation, the Cry1Da.844_8 and Cry1Da_7 proteins were also comparably active against FAW in insect feeding assays (Fig. S5C).
Assessment of FAW-active insecticidal proteins against resistant FAW colonies.
The possibility of cross-resistance of the Cry1Fa-resistant FAW colony to the Cry1B.868 and Cry1Da_7 proteins was evaluated in comparative dose-response bioassays between susceptible (Cry1Fa-SS) and resistant (Cry1Fa-RR) colonies. There was no detectable difference in insect responses between the Cry1Fa-SS and Cry1Fa-RR colonies for both Cry1Da_7 and Cry1B.868, suggesting that the Cry1F-resistant colony was not cross-resistant to either Cry1Da_7 or Cry1B.868 (Table 1). Potential cross-resistance of Vip3A-resistant FAW to Cry1Da_7 and Cry1B.868 was also evaluated in comparative dose-response bioassays between susceptible (Vip3A-SS) and resistant (Vip3A-RR) colonies (46). Both Vip3A-SS and Vip3A-RR colonies were highly susceptible to the Cry1Da_7 protein, showing 50% lethal concentration (LC50) values of 11 and 12 ng/cm2, respectively (Table 2), and all insects were dead at concentrations above 316 ng/cm2 Cry1Da_7 (data not shown). Cry1B.868 was also highly toxic to the FAW colonies, with LC50 values of 262 ng/cm2 against the Vip3A-SS colony and 43 ng/cm2 against the Vip3A-RR colony (Table 2), indicating a lack of cross-resistance. Interestingly, the Vip3A-resistant colony was significantly more sensitive to this toxin than the Vip3A-susceptible colony; the data suggest that this difference is unrelated to the Vip3A resistance allele, and it is likely due to slight genetic background differences between the susceptible and resistant colonies.
TABLE 1.
Sample | Dosea (ng/cm2) | S. frugiperda colonyb | Total no. of insect larvae | No. of larvae/repeat | Phenotypic distribution (%) (mean ± SD)c |
|||
---|---|---|---|---|---|---|---|---|
Dead | 1st instar | 2nd instar | 3rd instar | |||||
Buffer | 0 | SS | 40 | 8 | 5.1 ± 11.1 | 0 ± 0 | 0 ± 0 | 94.9 ± 16.8 |
0 | Cry1Fa-RR | 40 | 8 | 2.5 ± 5.6 | 0 ± 0 | 7.5 ± 6.8 | 90 ± 5.6 | |
Cry1Da_7 | 690 | SS | 40 | 8 | 87.5 ± 12.5 | 12.5 ± 12.5 | 0 ± 0 | 0 ± 0 |
690 | Cry1Fa-RR | 40 | 8 | 100 ± 0 | 0 ± 0 | 0 ± 0 | 0 ± 0 | |
Cry1Da_7 | 6,900 | SS | 40 | 8 | 97.5 ± 5.6 | 2.5 ± 5.6 | 0 ± 0 | 0 ± 0 |
6,900 | Cry1Fa-RR | 40 | 8 | 97.5 ± 5.6 | 2.5 ± 5.6 | 0 ± 0 | 0 ± 0 | |
Cry1B.868 | 690 | SS | 40 | 8 | 97.5 ± 5.6 | 2.5 ± 5.6 | 0 ± 0 | 0 ± 0 |
690 | Cry1Fa-RR | 40 | 8 | 80.0 ± 6.8 | 20.0 ± 6.8 | 0 ± 0 | 0 ± 0 | |
Cry1B.868 | 6,900 | SS | 40 | 8 | 97.5 ± 5.6 | 2.5 ± 5.6 | 0 ± 0 | 0 ± 0 |
6,900 | Cry1Fa-RR | 40 | 8 | 87.5 ± 12.5 | 12.5 ± 12.5 | 0 ± 0 | 0 ± 0 | |
Cry1F.842 | 690 | SS | 40 | 8 | 90.0 ± 10.0 | 10.0 ± 10.0 | 0 ± 0 | 0 ± 0 |
690 | Cry1Fa-RR | 40 | 8 | 0 ± 0 | 0 ± 0 | 2.5 ± 5.6 | 97.5 ± 5.6 | |
Cry1F.842 | 6,900 | SS | 40 | 8 | 97.5 ± 5.6 | 2.5 ± 5.6 | 0 ± 0 | 0 ± 0 |
6,900 | Cry1Fa-RR | 39 | 8 | 0 ± 0 | 0 ± 0 | 5.1 ± 7.0 | 94.9 ± 7.0 |
Amount of protein sample per surface area of diet in a diet overlay assay.
SS, Cry1Fa-susceptible insect colony; Cry1Fa-RR, Cry1Fa-resistant insect colony.
Average phenotypic distribution of larvae across repeats.
TABLE 2.
Sample | S. frugiperda colonya | No. of insectsb | Mean slope ± SE | LC50 (ng/cm2) (95% CI)c | χ2 | dfd | Resistance ratioe |
---|---|---|---|---|---|---|---|
Cry1Da_7 | SS | 1,023 | 1.85 ± 0.18 | 12 (9–15) | 13.36 | 26 | 1 |
Vip3A-RR | 1,088 | 11 | −1.1 | ||||
Cry1B.868 | SS | 1,021 | 3.69 ± 0.73 | 262 (192–363) | 30.64 | 26 | 1 |
Vip3A-RR | 1,088 | 2.34 ± 0.16 | 43 (37–49) | 16.77 | 30 | −6.6 | |
Vip3A | SS | 1,024 | 1.85 ± 0.21 | 333 (237–475) | 83.03 | 26 | 1 |
Vip3A-RR | 1,082 | >31,600f | >94.8 |
SS, Vip3A-susceptible insect colony; Vip3A-RR, Vip3A-resistant insect colony.
Total number of insects evaluated.
CI, confidence interval.
df, degree of freedom.
Calculated from the LC50 of the Vip3A-RR colony divided by the LC50 of the SS colony.
Assumes that LC50 for Vip3A in the Vip3A-RR colony is >31,600 ng/cm2 (31,600 ng/cm2 is the highest dose tested).
Construction of insecticidal protein variants disabled in their pore-forming function.
DIP variants have been successfully developed to differentiate receptor preferences of Cry1Ab, Cry1Ca, and Cry2Ab proteins in in vivo binding studies based on introducing a substitution(s) of an amino acid(s) associated with the postbinding function of the protein, i.e., oligomerization and/or ion channel/pore formation, in domain 1 (41). We hypothesized that similar DIP probes can be developed for other three-domain endotoxins as well as for the Vip3A protein given the conserved ion channel/pore-forming function that is the recognized mode of action of these insecticidal toxins (Fig. 1) (41, 47–52). We implemented the same strategy to disable Cry1Da_7, Cry1B.868, and Cry1F.842 three-domain toxins. We targeted residues in helix 3 and helix 4 for substitution, and disruption of domain 1 function in the resulting variants was screened in insect feeding assays. We identified Cry1Da_7[V108C,E128C] (Fig. 1B), Cry1B.868[A160N,N167D] (Fig. 1C), and Cry1F.842[I108C,D128C] as DIP variants based on the selection criteria that these variants (i) had no significant insecticidal activity toward FAW (see Fig. 3), (ii) displayed similar processing with trypsin in vitro (data not shown), (iii) exhibited similar insecticidal activities in bioassays mixed with their native counterparts at a 1:1 molar concentration (see Fig. 3), and (iv) competed against their native counterparts in feeding assays with multiple lepidopteran species, including FAW, when presented in a molar excess of >10 (see Fig. 3). Substitutions in the Vip3A disabled toxin were made in the N-terminal domain of the protein, which is predicted to contain a series of α-helices similar to the reported structure of Escherichia coli hemolysin E, whereas the C-terminal putative receptor binding domains in Vip3A were unaltered (53, 54). It was also reported that Vip3A exists as a tetramer in solution before proteolysis and as an octameric complex comprised of heavy-chain (65-kDa) and light-chain (21-kDa) segments following serine protease treatment (55). We therefore hypothesized that this may be a prepore complex, and our disabled toxin design strategy was to cross-link these building blocks via four intermolecular disulfide bridges to restrict movement of these helices and membrane insertion. Comprehensive mutagenesis studies targeting the N-terminal domain of Vip3A identified Vip3Aa[S175C,L177C] as a DIP variant based on the above-described criteria.
In vivo receptor binding assessment via competition assays between FAW-active insecticidal proteins and their DIP variants.
Cry1Da_7 at 690 ng/cm2 elicited a 98% insect-stunting response, which was calculated based on the observed insect size with reference to the sizes of the positive control (100% response) and negative control (0% response). DIP assays were then implemented to comparatively assess the receptor preferences of these native insecticidal proteins (NIPs). Cry1Da_7 at 690 ng/cm2 when coadministered with Cry1Da_7-DIP exhibited (i) no competition at stoichiometric DIP-to-NIP ratios, (ii) significant competition when DIP was used at a 5- to 25-fold excess of the NIP, and (iii) full competition when the DIP was used at a 50-fold excess of the NIP, where the insect phenotype was completely rescued and the insect size was indistinguishable from the size of the negative-control insects (see Fig. 3A). When Cry1Da_7-DIP was coadministered separately with 5,520 ng/cm2 Cry1B.868, 20.7 ng/cm2 Cry1F.842, and 2,760 ng/cm2 Vip3A (approximately an MIC95 dose) (Fig. 2), the insecticidal activity of these proteins was not inhibited, even in the presence of 138,000 ng/cm2 Cry1Da_7-DIP competitor, representing 25-, 6,600-, and 50-fold DIP-to-NIP challenge ratios, respectively (Fig. 3A). Similarly, homologous competition between NIPs and their corresponding DIP variants was demonstrated for Cry1B.868 (Fig. 3B), Cry1F.842 (Fig. 3C), Vip3A (Fig. 3D), Cry1A.105 (Fig. 3E), and Cry2Ab (Fig. 3F). Heterologous competition was also assessed between each NIP/DIP pair, and the insecticidal activity of Cry1Da_7, Cry1B.868, Cry1F.842, and Vip3A was not inhibited, even in the presence of a high concentration of the DIP competitor (Fig. 3A to D). We also evaluated these new insecticidal proteins against the disabled versions of two commercial insecticidal proteins, Cry1A.105 and Cry2Ab. Significant (P < 0.05) competition was not observed (Fig. 3E and F), with the exception of the comparison between 690 ng/cm2 Cry1Da_7 and 138,000 ng/cm2 Cry1A.105-DIP (Fig. 3E), which showed a mere 15% reduction of the insecticidal response under experimental conditions where Cry1A.105-DIP fully competed against its native counterpart.
Receptor binding assessment using insect cell-based receptor screens.
Sf9 cells expressing the Sf.APN9 gene showed little to no SYTOX green fluorescence signal when buffer was added to the medium; however, robust fluorescence was observed in the presence of 50 μg/ml activated Cry1Da_7, indicating toxin-induced membrane permeabilization (Fig. 4A). Sf9 insect cells without Sf.APN9 expression did not show an increase in fluorescence (Fig. 4A), indicating that Sf.APN9 is a functional Cry1Da_7 receptor in cell-based assays. Cry1B.868 at 50 μg/ml elicited robust membrane permeabilization in Sf9 cells expressing Sf.ABCb1 (Fig. 4B), while only a background signal was observed when this receptor was not expressed (Fig. 4B). These results indicate that SfABCb1 and Cry1B.868 are a functional receptor-toxin pair. Additional cell-based receptor screens identified other interacting receptor-toxin pairs, including Sf.APN1/Cry1A.105 (Fig. 4C), Sf.ABCc2/Cry1A.105 (Fig. 4C), Sf.ABCc3/Cry1A.105 (Fig. 4C), Sf.ABCa3/Cry2Ab (Fig. 4D), and Sf.ABCc2/Cry1F.842 (Fig. 4E). Based on a report in the literature, Sf9 cell membrane permeabilization by Vip3A was also expected at a 50-μg/ml toxin dose due to the presence of its Sf.SC-R receptor (56). Consistent with this expectation, we observed this interaction between Vip3A and Sf9 cells (Fig. 4F). None of the three-domain toxins in our study showed such a response with the base cell line under these culturing conditions (Fig. 4A to E), suggesting that these Cry1 and Cry2 toxins do not interact with the Vip3A receptor, and they will not permeabilize Sf9 cells unless their corresponding receptor is overexpressed recombinantly.
Proteomics assessment of FAW brush border membrane.
To assess whether the receptors identified in the insect cell-based screens were expressed in the FAW midgut, we isolated the brush border membrane (BBM) from FAW larval midgut and subjected BBM to bottom-up proteomics analysis (57). We confirmed the presence of Sf.APN9, Sf.ABCb1, Sf.ABCc2, Sf.ABCc3, Sf.ABCa3, and Sf.APN1 (Fig. S7).
DISCUSSION
Discovering insecticidal proteins is critical for maintaining or increasing the durability of the next generation of IP trait-based products. This is especially true for high-resistance-risk insect pests such as FAW. The small number of currently available products targeting FAW implies that hundreds, if not thousands, of proteins need to be evaluated before finding a FAW-active protein that acts via a new receptor and, therefore, is capable of controlling field-evolved resistance. As there are numerous reports of a lack of cross-resistance between different subclasses of Cry1 proteins on FAW and other lepidopteran pests (30), we modified two subclasses of Cry1 proteins that have not yet been commercialized but have been reported to have FAW activity (25, 26). Our aim was to develop insecticidal proteins with improved insecticidal activity and with receptor preferences that are different from those of commercial Bt proteins. Our campaign identified two new modified insecticidal proteins, Cry1B.868 and Cry1Da_7, with enhanced specific activity against FAW and CEW, respectively. Cry1Da_7 and Cry1B.868 are both sufficiently sequence diverse (16) from each other and from current commercially available Bt proteins to support the hypothesis that they represent two new proteins that interact with different receptor proteins present in FAW. There have been numerous reports describing modification of Bt proteins to increase toxicity while maintaining specificity (58, 59). The Cry1Da_7 protein described here was identified by applying methods similar to those used for improving Cry51 against Lygus spp. (58). Cry1B.868 was developed using chimeragenesis, similar to the method used to develop the Cry1A.105 protein, a familiar protein that has been deployed commercially as Bt maize protected against FAW. As was previously demonstrated for Cry1A.105 and Cry51Aa2.834_16, the modifications resulting in Cry1Da_7 and Cry1B.868 should not alter their pore-forming mode of action as they undergo ingestion, solubilization, proteolytic activation, binding to specific midgut receptors, oligomerization, and pore formation that leads to cell lysis and, ultimately, mortality (60). This mode of action is shared with other commercialized Cry1, Cry2, and Cry3 proteins that are known to be specific and that have a long history of safe use. While various steps in the mode of action may contribute to the overall apparent specificity (61), recognition of receptors in the midgut is a significant contributing factor to overall specificity and susceptibility (30). Correspondingly, characterization of a Cry1F-resistant FAW population clearly demonstrates that the loss of a functional ABCc2 receptor from the midgut due to a defect in the ABCC2 gene leads to a significant loss of Cry1F activity (62, 63). Also, mechanistic studies of the FAW insecticidal activity of Vip3Aa implicated the SR-C receptor interaction as a key step conferring Vip3Aa specificity (56). Cell-based assays demonstrated that both Cry1Da_7 and Cry1B.868 interact with different and very sequence-diverse (Fig. 4H) FAW receptor proteins compared to those identified for currently available commercial proteins. This suggests that loss, or modifications, of a receptor for a currently available commercial Bt protein would have very limited, if any, effect on the efficacy of Cry1Da_7 or Cry1B.868. Consistent with this hypothesis, FAW populations resistant to Cry1F and Vip3A were both at least as susceptible to Cry1Da_7 and Cry1B.868, as were comparable FAW populations that were susceptible to Cry1F and Vip3A. Interestingly, the Vip3A-resistant colony was significantly more sensitive to Cry1B.868 than the Vip3A-susceptible colony was; the data suggest that this difference is unrelated to the Vip3A resistance allele, and it is likely due to slight genetic background differences between the susceptible and resistant colonies. This is not without precedent, as a similar observation has been reported for Cry2Ab2 against Cry1Fa-resistant FAW (64).
Because we had access to resistant populations for only two of several relevant commercially available FAW-active proteins, we applied DIP assays to provide additional evidence that Cry1Da_7 and Cry1B.868 have unique receptor preferences. To validate that the observed reduction of insecticidal activity was due to competition between NIP and DIP for the limited insect receptor sites in the midgut, as opposed to other steps prerequisite for receptor binding (e.g., solubilization, reduction, and proteolytic activation) in the recognized Bt MOA model (61), we conducted DIP assays with presolubilized and trypsin-digested three-domain proteins and observed competition between each NIP-DIP pair (data not shown). Results from resistant insect assays, DIP assays, and cell-based assays demonstrate that receptor utilizations of Cry1Da_7 and Cry1B.868 proteins are significantly different from each other and from those of commercially available Bt proteins such as Cry1F.842, Cry1A.105, Cry2Ab, and Vip3A proteins. Taken together, these results support the conclusion that Cry1Da_7 and Cry1B.868 are effective insecticidal proteins against FAW that have the same pore-forming mode of action as other three-domain Bt proteins but bind to different receptors, suggesting that they would control resistance and increase product durability. Future experiments will have to be conducted to demonstrate the field efficacy of these proteins deployed as plant-incorporated protectants (PIPs) in row crops against FAW and other economically important lepidopteran species.
MATERIALS AND METHODS
Identification of the Cry1Da_7 variant with improved toxicity toward Helicoverpa zea.
A variant of Cry1Da1, designated Cry1Da.844, was selected as the parental protein for a campaign to improve toxicity toward CEW larvae. The Cry1Da.844 amino acid sequence (see Fig. S4A in the supplemental material) comprises the Cry1Da core toxin domain (M1 to K606) but utilizes the Cry1Ab3 protoxin domain (A623 to E1155) to ensure adequate expression in Bt and alkaline solubility of the parasporal crystals that are produced upon sporulation. The resulting coding region was cloned into a Bt expression vector and expressed as a crystal protein in the acrystalliferous Bt strain EG10650. A three-tiered optimization campaign employing both rational and statistically driven protein designs was used to identify Cry1Da.844 variants with significant improvements in toxicity toward CEW (3). Our rational protein design strategy was based on site saturation mutagenesis of amino acid residues in proximity to the putative receptor binding epitopes modeled via structural homology of Cry1Da to reported epitopes of Cry1A proteins (65, 66). The statistically driven protein design method was developed in-house and is similar to the previously reported protein sequence activity relationship (PROSAR) method (67). A combinatorial library was also generated from individual mutations identified as hits in the preliminary screens, and these variants were further screened in insect feeding assays to identify variants with more enhanced specific bioactivity.
Construction of the chimeric protein Cry1B.868.
A series of chimeric Cry1B proteins was generated and screened for an expanded spectrum of insecticidal activity against lepidopteran pest species. DNA fragments encoding domains 1 and 2 of Cry1Be2 were fused to domain 3 fragments originating from a wide variety of three-domain Cry proteins. DNA sequences encoding the C-terminal half of the proteins extending beyond domain 3, and comprising the protoxin moiety, were derived from either Cry1Ab3 or Cry1Ac1. The resulting coding regions were cloned into a Bt expression vector and expressed as crystal proteins in the acrystalliferous Bt strain EG10650. Crystal proteins recovered from sporulated cultures were evaluated for toxicity against FAW.
Protein preparation, cloning, and expression.
The proteins used in this study (Fig. 1) include the native insecticidal proteins Cry1Da, Cry1Da_7, Cry1D.844, Cry1D.844_8, Cry1B.868, Cry1A.105, Cry1F.842, Cry2Ab, and Vip3A as well as their disabled variants, Cry1D.844_8[V108C,E128C], Cry1B.868[A160N,N167D], Cry1B.867[A160N,N167D] (for X-ray crystallography only), Cry1F.842[I108C,D128C], Cry1A.105[I109C,E129C], Cry2Ab[R129Q,R139Q,G119C,N123A,L156C,R160A], and Vip3A[S175C,L177C]. All proteins, with the exception of the Vip3A proteins, were expressed in recombinant B. thuringiensis strains containing their respective expression plasmids. Single colonies from a glycerol stock of each of the Bt strains were isolated on Luria broth (LB) agar plates supplemented with chloramphenicol (5 μg/ml) at 30°C following overnight growth and used to inoculate 2.5-ml LB starter cultures containing chloramphenicol (3 μg/ml). Cells were grown at 25°C on a rotating roller drum overnight and then diluted into 500 ml Bt medium containing 3 μg/ml chloramphenicol in a 2-liter baffled flask and continued to grow at 20°C at 250 rpm for 65 h. Sporulation and crystal formation in the culture were verified by phase-contrast microscopy of a 2-μl aliquot of the Bt culture. Upon confirmation of the presence of crystals, the partially lysed sporulated cells were harvested by centrifugation at 4°C at 10,000 × g for 10 min. The pellet was then resuspended in 125 ml TX wash buffer containing 10 mM Tris at pH 7.5 and 0.005% Triton X-100 supplemented with 0.1 mM phenylmethylsulfonyl fluoride (PMSF), incubated at 250 rpm at 4°C for 15 min, and centrifuged again as described above. The resulting pellet was resuspended in 50 ml 1× phosphate-buffered saline (PBS) at pH 7.4 containing 0.1% Triton X-100, 2 mM MgCl2, and 10 U/ml Benzonase; incubated at 250 rpm at 4°C for 2 h; and centrifuged at 4°C at 10,000 × g for 10 min. Subsequently, the pellet, containing the spore-crystal mixture, was subjected to resuspension and centrifugation in the above-described TX buffer twice more. Expression of the Vip3A protein outfitted with an N-terminal His tag was conducted in Rosetta2(DE3) E. coli cells harboring the pET expression plasmid with the vip3Aa1 gene ligated in. A large-scale ZYP-5052 autoinduction medium (75) supplemented with 100 μg/ml kanamycin and 25 μg/ml chloramphenicol was inoculated with cells, and the culture was stirred at 250 rpm at 18°C for 48 h. Cells were centrifuged; the cell pellet was resuspended in 50 ml lysis buffer containing a 3:1 (vol/vol) mixture of B-PER (bacterial protein extraction reagent; Thermo Scientific) and Y-PER (yeast protein extraction reagent; Thermo Scientific) supplemented with 0.1 mg/ml lysozyme, 5 μl Benzonase (ART.Sm nuclease at 1,125 U/μl, expressed from pMON101670), 1 tablet of an EDTA-free protease inhibitor cocktail (complete EDTA free, product number 11873580001; Roche), and 250 mM NaCl; and its pH was adjusted to pH 8.5. Cells were lysed while the mixture was stirred with a magnetic stir bar over a period of 30 min at 4°C. The homogenous mixture was then centrifuged at 20,000 × g at 4°C for 15 min using a FIBERLite F13-14x50cy rotor. The clean supernatant was transferred to a clean 50-ml Falcon tube and mixed with a 20-ml slurry of His-Select resin (Sigma), which was then gently rotated at 4°C for 30 min. The resin was loaded in a glass column outfitted with a glass frit and washed with 10 column volumes of buffer containing 20 mM Na-carbonate at pH 9, 300 mM NaCl, and 10 mM imidazole, followed by elution of the His tag protein in the same buffer supplemented with 500 mM imidazole. The eluted protein was concentrated and buffer exchanged into the above-described buffer without imidazole via diafiltration using Amicon Ultra centrifugal filters.
Protein purification and activation.
Insecticidal proteins were solubilized from their respective spore-crystal mixtures in a buffer containing 100 ml 50 mM Na-carbonate at pH 11, 5 mM Tris(2-carboxyethyl)phosphine hydrochloride (TCEP), 1 mM PMSF, 1 mM EDTA, and 1 mM benzamidine over a period of 60 min while shaking at 250 rpm at 22°C. The insoluble debris was pelleted, and the full-length proteins were subjected to trypsinization and follow-up purification on a Q-Sepharose anion exchange column. Intact molecular weight determination using quadrupole time of flight liquid chromatography-mass spectrometry (Q-TOF LC-MS) provided the weight difference between full-length and truncated forms of the protein and was used to assess the N and C termini of the activated protein core (68). Spot densitometry using a bovine serum albumin (BSA) standard on SDS-PAGE gels was used to quantitate the protein samples. The activated samples were evaluated in cell-based assays (Fig. 4) as well as in DIP assays (data not shown).
Insect bioassays.
Artificial-diet feeding assays were conducted with the following lepidopteran species: fall armyworm (FAW) (Spodoptera frugiperda) and corn earworm (CEW) (Helicoverpa zea Boddie). Insect eggs were obtained from Benzon Research (Carlisle, PA). Eggs for all lepidopteran assays were sourced 1 week before bioassays, and the cotton sheets containing insect eggs were stored at 15°C to 22°C until use. To hatch neonate insects, the cotton sheets were placed in a plastic Rubbermaid container with a moistened Kimwipe at the bottom to prevent excess drying of eggs. Neonates were hatched at 27°C overnight. Prior to infestation, the hatch box was cooled to 15°C to slow growth and deter clumping. CEW infestations were performed manually, and FAW infestations were performed using the entomology automated expansion (EAE) system, a modified flow cytometry system, to achieve a large fold increase in throughput. Insects were temporarily suspended in sheath solution containing 0.005% (wt/vol) Triton X-100 in distilled water and passed through the EAE system programmed to dispense one neonate insect in each well of 96-well diet microplates. These plates contained 200 μl molten Southland multiple-species diet with mold inhibitor in Serva agar, and they were treated with 20 μl of the protein sample, or a buffer control, via the surface contamination method. Following drying and infestation, the plates were sealed with preperforated heat seals and placed in an environmental chamber at 27°C with 60% relative humidity and a photoperiod of 14 h/10 h (light/dark). The size of FAW larvae was measured by an automated imaging system, and the insect stunting response was calculated based on the observed insect size with reference to the sizes of the positive control (100% response) and negative control (0% response); the positive control was Cry1A.105 at 3,450 ng/cm2, and the negative control was 20 mM sodium carbonate buffer. Toxin efficacy on CEW was evaluated manually based on insect mortality and instar stadium at day 5. Statistical analyses were performed using multiple comparisons after ordinary one-way analysis of variance (ANOVA) and a Tukey post hoc test (α = 0.05) using GraphPad Prism (GraphPad Software Inc.).
In vivo receptor binding assessment via competition assays between FAW-active insecticidal proteins and their DIP variants.
To assess receptor binding preferences between the activated core of new and commercial insecticidal proteins on FAW, we implemented DIP assays (41) (Fig. 3) using the full-length spore-crystal preparations of Cry1Da_7 (with the Cry1Ab protoxin domain), Cry1B.868, Cry1F.842, Vip3A, Cry1A.105, Cry2Ab2, as well as a variant containing the disabling mutations. In these assays, a fixed concentration of NIP was premixed with increasing concentrations of DIP, and the resulting dilution series were administered to insects in a surface contamination feeding assay. A dose-response curve was first generated for each NIP in this study (Fig. 2) to assess the specific FAW activities based on 50% inhibitory concentration (IC50) calculations (Table 3) under assay conditions and to estimate the IC95 used as the fixed native IP concentration in DIP assays (45). If receptors are shared, then the inactive DIP probe saturates the receptors to which the NIP would ordinarily bind and acts as an antidote, whereas if there is no shared receptor, the toxicity of the NIP is not inhibited (41).
TABLE 3.
Protein | No. of insectsa | Mean slope ± SE | IC50 (ng/cm2) (95% CI)b | sy.xc | dfd | R2 |
---|---|---|---|---|---|---|
Cry1Da_7 | 479 | 1.779 ± 0.242 | 193 (162–229) | 44.49 | 477 | 0.42 |
Cry1B.868 | 399 | 1.165 ± 0.186 | 801 (599–1,073) | 50.42 | 397 | 0.30 |
Cry1A.105 | 431 | 0.668 ± 0.334 | 186 (50–701) | 48.79 | 427 | 0.30 |
Cry1F.842 | 321 | 0.694 ± 0.075 | 1.8 (1.3–2.4) | 30.89 | 319 | 0.55 |
Cry2Ab | 379 | 0.677 ± 0.089 | 361 (247–527) | 46.44 | 377 | 0.26 |
Vip3A | 504 | 2.149 ± 0.281 | 1,199 (1,050–1,370) | 39.1 | 502 | 0.51 |
Total number of insects evaluated.
IC50, concentration necessary to reduce larval growth by 50%; CI, confidence interval.
Standard deviation of the residuals calculated by GraphPad Prism.
df, degree of freedom.
Cry1Da_7 structure determination.
Only a purified sample of a construct which contained the mutations V108C, E128C, S282V, Y316S, and I368P relative to the wild-type protein yielded structure-solution-quality crystals. Crystal leads were sought via crystallization condition screening using a Phenix robot and 96-well crystal trays prefilled with commercially available crystallization condition screens. Cry1Da crystals resulted from the Wizard34 screen, condition G10 (20% polyethylene glycol 6000 [PEG 6000], 0.1 M morpholineethanesulfonic acid [MES] [pH 6] buffer, 0.2 M ammonium chloride). A 2.6-Å data set was collected remotely at the SER-CAT 22-BM beamline in the APS Synchrotron at Argonne National Laboratories. These data were reduced using the HKL package (76). The crystal was determined to have a trigonal/hexagonal lattice, with a = b = 126.18 Å and c = 126.22 Å, and angles of α = β = 90° and γ = 120°. The structure was solved by the molecular replacement method using the Phaser package (77) in CCP4i (78) with a previous 2.6-Å Cry1Ab-based structure. Successful structure solution revealed the true space group to be P3221. Refinement was performed using Refmac5 (79), and map fitting was done using Coot (80). The current structure of Cry1Da_7-DIP has an Rwork/Rfree of 15.8%/20.7% for 41- to 2.6-Å (low- and high-resolution limit) data, and it extends from Leu28 to Ala593.
Cry1B.868 structure model.
A purified sample of a disabled version of Cry1B.867 (containing mutations A160N and N167D) was crystallized using the JCSG+ screen, reagent A9 (20% PEG 3350, 0.2 M ammonium chloride). X-ray data were collected remotely at the SER-CAT 22-ID beamline, to obtain a 2.7-Å data set. HKL package analyses revealed the crystal to be hexagonal, with a lattice of a = b = 106.18 Å and c = 85.30 Å and angles of α=β = 90° and γ = 120°. The structure was solved by the molecular replacement method using the Phaser package (77) in CCP4i (78), using the Cry8Ea1 structure under PDB accession number 3EB7 for phasing. Successful structure solution revealed the true space group to be P63. Refinement was performed using Refmac5 (79), and map fitting was done using Coot (80). The current structure of the Cry1B.867-DIP variant has an Rwork/Rfree of 22.3%/27.7% for 38- to 2.7-Å data, and it extends from Ser54 to Thr640. The Cry1B.868 model was generated by the chainsaw utility in CCP4 using the PDB coordinates of the three-dimensional crystal structure of Cry1B.867 and the primary amino acid sequence of the highly homologous protein Cry1B.868 (69).
Spodoptera frugiperda insect cell assays.
Sf9 insect cells (Life Technologies), originally derived from ovarian cells of Spodoptera frugiperda (70), were used to assess receptor function in cell-based toxicity assays (71). The cells were plated in 100 μl Sf-900 III serum-free insect cell culture medium (Life Technologies) at a density of 50,000 cells and 1 μl of P3 or P4 baculovirus stocks in each well of a 96-well optical-bottom black culture plate (Nunc; Thermo Scientific). The P3 or P4 baculovirus stocks encode the receptor sequences reported in this study. The plates were kept in a humidified environment to prevent evaporation and incubated at 27°C for 48 h. Receptor expression was confirmed by Western blotting. Toxins were diluted to the same protein concentration (50 μg/ml) in unsupplemented Grace’s insect medium with 2 μM SYTOX green nucleic acid stain (catalog number S7020; Life Technologies). The medium was removed from the wells without disturbing the attached cells, and the diluted toxins or buffer controls were added in the corresponding wells. The fluorescence intensity was measured on a CLARIOstar microplate reader (BMG Labtech) after incubation at 27°C for 4 h. The data from technical replicates were averaged, and the mean signals as well as the corresponding standard deviations were plotted for each receptor condition with and without insecticidal protein addition. Statistical analyses were performed using multiple comparisons after ordinary one-way ANOVA and a Tukey post hoc test (α = 0.05) using GraphPad Prism (GraphPad Software Inc.).
Brush border membrane preparation for mass spectrometry.
The brush border membrane (BBM) or microvillar membrane was prepared using third-instar whole FAW larvae via the cation differential precipitation method using 10 mM calcium chloride, which was a modified version of the procedure implemented for Pieris brassicae (L.) by Wolfersberger et al. (72). The total protein concentration in both the BBM sample and the initial insect homogenate was determined by a Bradford assay (Bio-Rad) according to the manufacturer’s protocol, and the quality of the BBM preparation was evaluated based on a partial biochemical characterization measuring specific alkaline phosphatase (ALP) and leucine aminopeptidase (APN) (73) enzyme activities of both the BBM fraction and the initial insect homogenate.
Proteomics analysis.
BBM samples containing a total of 50 μg proteins were reduced and subjected to microwave-assisted trypsinization by Discover Proteomics (CEM, Matthews, NC, USA). The proteolysis reaction was terminated by adding trifluoroacetic acid to a final concentration of 1% (vol/vol). The sample was centrifuged at 21,000 × g for 30 min at room temperature to pellet the BBM. The supernatant was collected and subjected to proteomics analysis. For separation, the peptides were injected into an Ultimate 3000 nano-LC system equipped with an inline reverse-phase C18 trap column (PepMap, 300-μm internal diameter [ID] by 5 mm; Thermo Fisher Scientific, Waltham, MA, USA) and a high-resolution C18 Acclaim PepMap reverse-phase liquid chromatography column (75-μm ID by 150 mm; Thermo Fisher Scientific). The peptides were loaded onto the trap column at a flow rate of 5 μl/min using 0.1% formic acid in water and eluted at a flow rate of 300 nl/min using a binary mobile phase comprised of 0.1% formic acid in water and a linear gradient of acetonitrile between 10 and 30% (vol/vol) over 40 min. The eluted peptides were injected into the nanospray of a Q-Exactive HF Orbitrap mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) operating in full data-dependent tandem mass spectrometry mode. The nanospray voltage was kept at 1.9 kV, and data were collected using Xcalibur software (Thermo Fisher Scientific, Waltham, MA, USA). Full-scan mass spectra were acquired with the Orbitrap instrument over a mass range of m/z 400 to 1,600, with a resolution of 120,000 (m/z 400) and an automatic gain control (AGC) target of 3 × 106. A lock mass function was used to obtain high mass accuracy. The 12 most intense precursor ions were selected for collision-induced fragmentation, with a normalized collision energy of 27%, a resolution of 15,000, and an AGC target of 1 × 105. For each sample, the injection volume was adjusted per the protein assay to load 1 μg onto the column. Experiments for each sample were done in three technical replicates. Proteins were identified by Proteome Discoverer (version 1.4; Thermo Fisher Scientific, Waltham, MA, USA). The FAW protein database (1,786 sequences) from UniProt was combined with the FAW APN1, APN9, ABCa3, ABCb1, ABCc2, ABCc3, and SR-C protein sequences, and a reversed decoy database was used for comparison. Data files were generated from acquired raw data files with Thermo Xcalibur. The protein identifications were filtered in Proteome Discoverer, retaining only proteins that contained at least three peptides with XCorr (cross-correlation value in Proteome Discoverer) scores above the threshold. The data include only rank 1 peptides and peptides in the top-scored proteins. Trypsin was specified as the proteolytic enzyme, and one missed cleavage was allowed. Peptide mass tolerance was set at 10 ppm, fragment mass tolerance was set at 0.6 Da, and peptide charge was set at +2, +3, and +4. False discovery rates for peptide identification of all searches were less than 5.0%.
Data availability.
The current structure of Cry1Da_7-DIP was deposited in the RCSB Protein Data Bank under accession number 6OVB. The current structure of the Cry1B.867-DIP variant was deposited in the RCSB Protein Data Bank under accession number 6OWK.
Supplementary Material
ACKNOWLEDGMENTS
Funding for this research was provided by Bayer Crop Science.
We thank our current and former colleagues Randall Kerstetter, Melissa Kemp, Sara Salvador, and Crystal Dart at the Bayer Plant Biotechnology site in Cambridge, MA, for technical support. We also give special thanks to Cara Vazquez for her critical review of the manuscript and to Nancy Adams at the Bayer Insectary in Union City, TN. We also thank Jiexin Peng and her protein expression and purification team and David Duda and his team for continued structural biology support.
Footnotes
Supplemental material for this article may be found at https://doi.org/10.1128/AEM.00579-19.
REFERENCES
- 1.Iltis HH. 1983. From teosinte to maize: the catastrophic sexual transmutation. Science 222:886–894. doi: 10.1126/science.222.4626.886. [DOI] [PubMed] [Google Scholar]
- 2.Doebley J, Stec A, Hubbard L. 1997. The evolution of apical dominance in maize. Nature 386:485–488. doi: 10.1038/386485a0. [DOI] [PubMed] [Google Scholar]
- 3.ISAAA. 2017. Global status of commercialized biotech/GM crops in 2017: biotech crop adoption surges as economic benefits accumulate in 22 years. ISAAA brief no. 53. ISAAA, Ithaca, NY. [Google Scholar]
- 4.Oerke EC. 2006. Crop losses to pests. J Agric Sci 144:31–43. doi: 10.1017/S0021859605005708. [DOI] [Google Scholar]
- 5.Fatoretto JC, Michel AP, Silva Filho MC, Silva N. 2017. Adaptive potential of fall armyworm (Lepidoptera: Noctuidae) limits Bt trait durability in Brazil. J Integr Pest Manag 8:17. doi: 10.1093/jipm/pmx011. [DOI] [Google Scholar]
- 6.Montezano DG, Specht A, Sosa-Gómez DR, Roque-Specht VF, Sousa-Silva JC, Paula-Moraes SV, Peterson JA, Hunt TE. 2018. Host plants of Spodoptera frugiperda (Lepidoptera: Noctuidae) in the Americas. Afr Entomol 26:286. doi: 10.4001/003.026.0286. [DOI] [Google Scholar]
- 7.Oliveira CM, Auad AM, Mendes SM, Frizzas MR. 2014. Crop losses and the economic impact of insect pests on Brazilian agriculture. Crop Prot 56:50–54. doi: 10.1016/j.cropro.2013.10.022. [DOI] [Google Scholar]
- 8.Cruz I, Corrêa Figueiredo M, da Silva RB, Fernandes da Silva I, de Souza Paula C, Foster JE. 2012. Using sex pheromone traps in the decision-making process for pesticide application against fall armyworm (Spodoptera frugiperda [Smith] [Lepidoptera: Noctuidae]) larvae in maize. Int J Pest Manag 58:83–90. doi: 10.1080/09670874.2012.655702. [DOI] [Google Scholar]
- 9.Johnson SJ. 1987. Migration and the life history strategy of the fall armyworm, Spodoptera frugiperda in the western hemisphere. Int J Trop Insect Sci 8:543–549. doi: 10.1017/S1742758400022591. [DOI] [Google Scholar]
- 10.Cruz I. 1995. A lagarta-do-cartucho na cultura do milho (circular técnica, 21). EMBRAPA-CNPMS, Sete Lagoas, Brazil. [Google Scholar]
- 11.Carvalho RA, Omoto C, Field LM, Williamson MS, Bass C. 2013. Investigating the molecular mechanisms of organophosphate and pyrethroid resistance in the fall armyworm Spodoptera frugiperda. PLoS One 8:e62268. doi: 10.1371/journal.pone.0062268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Goergen G, Kumar PL, Sankung SB, Togola A, Tamò M. 2016. First report of outbreaks of the fall armyworm Spodoptera frugiperda (J E Smith) (Lepidoptera, Noctuidae), a new alien invasive pest in west and central Africa. PLoS One 11:e0165632. doi: 10.1371/journal.pone.0165632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Nagoshi RN, Goergen G, Tounou KA, Agboka K, Koffi D, Meagher RL. 2018. Analysis of strain distribution, migratory potential, and invasion history of fall armyworm populations in northern sub-Saharan Africa. Sci Rep 8:3710. doi: 10.1038/s41598-018-21954-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Sharanabasappa KCM, Asokan R, Mahadeva Swamy HM, Maruthi MS, Pavithra HB, Hedge K, Navi S, Prabhu ST, Goergen G. 2018. First report of the fall armyworm, Spodoptera frugiperda (J E Smith) (Lepidoptera: Noctuidae), an alien invasive pest on maize in India. Pest Manag Hortic Ecosyst 24:23–29. [Google Scholar]
- 15.Sisodiya DB, Raghunandan BL, Bhatt NA, Verma HS, Shewale CP, Timbadiya BG, Borad PK. 2018. The fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae); first report of new invasive pest in maize fields of Gujarat, India. J Entomol Zool Stud 6:2089–2091. [Google Scholar]
- 16.Crickmore N, Baum J, Bravo A, Lereclus D, Narva K, Sampson K, Schnepf E, Sun M, Zeigler DR. 2018. Bacillus thuringiensis toxin nomenclature. http://www.btnomenclature.info/.
- 17.Storer NP, Kubiszak ME, King JE, Thompson GD, Santos AC. 2012. Status of resistance to Bt maize in Spodoptera frugiperda: lessons from Puerto Rico. J Invertebr Pathol 110:294–300. doi: 10.1016/j.jip.2012.04.007. [DOI] [PubMed] [Google Scholar]
- 18.Farias JR, Andow DA, Horikoshi RJ, Sorgatto RJ, Fresia P, dos Santos AC, Omoto C. 2014. Field-evolved resistance to Cry1F maize by Spodoptera frugiperda (Lepidoptera: Noctuidae) in Brazil. Crop Prot 64:150–158. doi: 10.1016/j.cropro.2014.06.019. [DOI] [Google Scholar]
- 19.Vélez AM, Vellichirammal NN, Jurat-Fuentes JL, Siegfried BD. 2016. Cry1F resistance among lepidopteran pests: a model for improved resistance management? Curr Opin Insect Sci 15:116–124. doi: 10.1016/j.cois.2016.04.010. [DOI] [PubMed] [Google Scholar]
- 20.Chandrasena DI, Signorini AM, Abratti G, Storer NP, Olaciregui ML, Alves AP, Pilcher CD. 2018. Characterization of field‐evolved resistance to Bacillus thuringiensis‐derived Cry1F δ‐endotoxin in Spodoptera frugiperda populations from Argentina. Pest Manag Sci 74:746–754. doi: 10.1002/ps.4776. [DOI] [PubMed] [Google Scholar]
- 21.Jakka SR, Knight VR, Jurat-Fuentes JL. 2014. Spodoptera frugiperda (J.E. Smith) with field-evolved resistance to Bt maize are susceptible to Bt pesticides. J Invertebr Pathol 122:52–54. doi: 10.1016/j.jip.2014.08.009. [DOI] [PubMed] [Google Scholar]
- 22.Bernardi D, Salmeron E, Horikoshi RJ, Bernardi O, Dourado PM, Carvalho RA, Martinelli S, Head GP, Omoto C. 2015. Cross-resistance between Cry1 proteins in fall armyworm (Spodoptera frugiperda) may affect the durability of current pyramided Bt maize hybrids in Brazil. PLoS One 10:e0140130. doi: 10.1371/journal.pone.0140130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Omoto C, Bernardi O, Salmeron E, Sorgatto RJ, Dourado PM, Crivellari A, Carvalho RA, Willse A, Martinelli S, Head GP. 2016. Field-evolved resistance to Cry1Ab maize by Spodoptera frugiperda in Brazil. Pest Manag Sci 72:1727–1736. doi: 10.1002/ps.4201. [DOI] [PubMed] [Google Scholar]
- 24.Signorini AM, Abratti G, Grimi D, Machado M, Bunge FF, Parody B, Ramos L, Cortese P, Vesprini F, Whelan A, Araujo MP, Podworny M, Cadile A, Malacarne MF. 2018. Management of field-evolved resistance to Bt maize in Argentina: a multi-institutional approach. Front Bioeng Biotechnol 6:67. doi: 10.3389/fbioe.2018.00067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Luo K, Banks D, Adang MJ. 1999. Toxicity, binding, and permeability analyses of four Bacillus thuringiensis Cry1 delta-endotoxins using brush border membrane vesicles of Spodoptera exigua and Spodoptera frugiperda. Appl Environ Microbiol 65:457–464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Van Frankenhuyzen K. 2009. Insecticidal activity of Bacillus thuringiensis crystal proteins. J Invertebr Pathol 101:1–16. doi: 10.1016/j.jip.2009.02.009. [DOI] [PubMed] [Google Scholar]
- 27.Valent BioSciences Corporation. 2009. What makes DiPel DF biological insecticide and XenTari DF biological insecticide superior products? XenTari protoxin blend technical bulletin. Valent BioSciences Corporation, Libertyville, IL: https://valentbiosciences.com/cropprotection/wp-content/uploads/sites/2/2017/2006/xentari-protoxin-blend-technical-bulletin-ag-5398.pdf. [Google Scholar]
- 28.BenFarhat-Touzri D, Driss F, Jemli S, Tounsi S. 2018. Molecular characterization of Cry1D-133 toxin from Bacillus thuringiensis strain HD133 and its toxicity against Spodoptera littoralis. Int J Biol Macromol 112:1–6. doi: 10.1016/j.ijbiomac.2018.01.081. [DOI] [PubMed] [Google Scholar]
- 29.Horikoshi RJ, Bernardi O, Amaral FSAE, Miraldo LL, Durigan MR, Bernardi D, Silva SS, Omoto C. 2019. Lack of relevant cross-resistance to Bt insecticide XenTari in strains of Spodoptera frugiperda (J. E. Smith) resistant to Bt maize. J Invertebr Pathol 161:1–6. doi: 10.1016/j.jip.2018.12.008. [DOI] [PubMed] [Google Scholar]
- 30.Jakka S, Ferré J, Jurat-Fuentes JL. 2015. Cry toxin binding site models and their use in strategies to delay resistance evolution, p 138 In Soberón M, Gao Y, Bravo A (ed), Bt resistance. CABI, Wallingford, United Kingdom. [Google Scholar]
- 31.Granero F, Ballester V, Ferré J. 1996. Bacillus thuringiensis crystal proteins Cry1Ab and Cry1Fa share a high affinity binding site in Plutella xylostella (L.). Biochem Biophys Res Commun 224:779–783. doi: 10.1006/bbrc.1996.1099. [DOI] [PubMed] [Google Scholar]
- 32.González-Cabrera J, Escriche B, Tabashnik BE, Ferré J. 2003. Binding of Bacillus thuringiensis toxins in resistant and susceptible strains of pink bollworm (Pectinophora gossypiella). Insect Biochem Mol Biol 33:929–935. doi: 10.1016/S0965-1748(03)00099-7. [DOI] [PubMed] [Google Scholar]
- 33.Estela A, Escriche B, Ferre J. 2004. Interaction of Bacillus thuringiensis toxins with larval midgut binding sites of Helicoverpa armigera (Lepidoptera: Noctuidae). Appl Environ Microbiol 70:1378–1384. doi: 10.1128/AEM.70.3.1378-1384.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Jurat-Fuentes JL, Crickmore N. 2017. Specificity determinants for Cry insecticidal proteins: insights from their mode of action. J Invertebr Pathol 142:5–10. doi: 10.1016/j.jip.2016.07.018. [DOI] [PubMed] [Google Scholar]
- 35.Keeton TP, Francis BR, Maaty WS, Bulla LA Jr.. 1998. Effects of midgut-protein-preparative and ligand binding procedures on the toxin binding characteristics of BT-R1, a common high-affinity receptor in Manduca sexta for Cry1A Bacillus thuringiensis toxins. Appl Environ Microbiol 64:2158–2165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Banks DJ, Jurat-Fuentes JL, Dean DH, Adang MJ. 2001. Bacillus thuringiensis Cry1Ac and Cry1Fa delta-endotoxin binding to a novel 110 kDa aminopeptidase in Heliothis virescens is not N-acetylgalactosamine mediated. Insect Biochem Mol Biol 31:909–918. doi: 10.1016/S0965-1748(01)00038-8. [DOI] [PubMed] [Google Scholar]
- 37.Martin FG, Wolfersberger MG. 1995. Bacillus thuringiensis delta-endotoxin and larval Manduca sexta midgut brush-border membrane vesicles act synergistically to cause very large increases in the conductance of planar lipid bilayers. J Exp Biol 198:91–96. [DOI] [PubMed] [Google Scholar]
- 38.Luo K, Sangadala S, Masson L, Mazza A, Brousseau R, Adang MJ. 1997. The Heliothis virescens 170 kDa aminopeptidase functions as “receptor A” by mediating specific Bacillus thuringiensis Cry1A delta-endotoxin binding and pore formation. Insect Biochem Mol Biol 27:735–743. doi: 10.1016/S0965-1748(97)00052-0. [DOI] [PubMed] [Google Scholar]
- 39.Onofre J, Gaytán MO, Peña-Cardeña A, García-Gomez BI, Pacheco S, Gómez I, Bravo A, Soberón M. 2017. Identification of aminopeptidase-N2 as a Cry2Ab binding protein in Manduca sexta. Peptides 98:93–98. doi: 10.1016/j.peptides.2017.01.006. [DOI] [PubMed] [Google Scholar]
- 40.Tanaka S, Miyamoto K, Noda H, Jurat-Fuentes JL, Yoshizawa Y, Endo H, Sato R. 2013. The ATP-binding cassette transporter subfamily C member 2 in Bombyx mori larvae is a functional receptor for Cry toxins from Bacillus thuringiensis. FEBS J 280:1782–1794. doi: 10.1111/febs.12200. [DOI] [PubMed] [Google Scholar]
- 41.Jerga A, Evdokimov AG, Moshiri F, Haas JA, Chen M, Clinton W, Fu X, Halls C, Jimenez-Juarez N, Kretzler CN, Panosian TD, Pleau M, Roberts JK, Rydel TJ, Salvador S, Sequeira R, Wang Y, Zheng M, Baum JA. 2019. Disabled insecticidal proteins: a novel tool to understand differences in insect receptor utilization. Insect Biochem Mol Biol 105:79–88. doi: 10.1016/j.ibmb.2018.12.006. [DOI] [PubMed] [Google Scholar]
- 42.Tabashnik BE, Johnson KW, Engleman JT, Baum JA. 2000. Cross-resistance to Bacillus thuringiensis toxin Cry1Ja in a strain of diamondback moth adapted to artificial diet. J Invertebr Pathol 76:81–83. doi: 10.1006/jipa.2000.4941. [DOI] [PubMed] [Google Scholar]
- 43.Tabashnik BE, Liu YB, de Maagd RA, Dennehy TJ. 2000. Cross-resistance of pink bollworm (Pectinophora gossypiella) to Bacillus thuringiensis toxins. Appl Environ Microbiol 66:4582–4584. doi: 10.1128/AEM.66.10.4582-4584.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Herrero S, Oppert B, Ferre J. 2001. Different mechanisms of resistance to Bacillus thuringiensis toxins in the indianmeal moth. Appl Environ Microbiol 67:1085–1089. doi: 10.1128/AEM.67.3.1085-1089.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Siqueira HAA, Moellenbeck D, Spencer T, Siegfried BD. 2004. Cross-resistance of Cry1Ab-selected Ostrinia nubilalis (Lepidoptera: Crambidae) to Bacillus thuringiensis δ-endotoxins. J Econ Entomol 97:1049–1057. doi: 10.1093/jee/97.3.1049. [DOI] [PubMed] [Google Scholar]
- 46.Yang F, Morsello S, Head GP, Sansone C, Huang F, Gilreath RT, Kerns DL. 2018. F2 screen, inheritance and cross-resistance of field-derived Vip3A resistance in Spodoptera frugiperda (Lepidoptera: Noctuidae) collected from Louisiana, USA. Pest Manag Sci 74:1769–1778. doi: 10.1002/ps.4805. [DOI] [PubMed] [Google Scholar]
- 47.Vachon V, Prefontaine G, Rang C, Coux F, Juteau M, Schwartz JL, Brousseau R, Frutos R, Laprade R, Masson L. 2004. Helix 4 mutants of the Bacillus thuringiensis insecticidal toxin Cry1Aa display altered pore-forming abilities. Appl Environ Microbiol 70:6123–6130. doi: 10.1128/AEM.70.10.6123-6130.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Girard F, Vachon V, Prefontaine G, Marceau L, Su Y, Larouche G, Vincent C, Schwartz JL, Masson L, Laprade R. 2008. Cysteine scanning mutagenesis of α4, a putative pore-lining helix of the Bacillus thuringiensis insecticidal toxin Cry1Aa. Appl Environ Microbiol 74:2565–2572. doi: 10.1128/AEM.00094-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Girard F, Vachon V, Préfontaine G, Marceau L, Schwartz JL, Masson L, Laprade R. 2009. Helix alpha 4 of the Bacillus thuringiensis Cry1Aa toxin plays a critical role in the postbinding steps of pore formation. Appl Environ Microbiol 75:359–365. doi: 10.1128/AEM.01930-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Schwartz JL, Juteau M, Grochulski P, Cygler M, Préfontaine G, Brousseau R, Masson L. 1997. Restriction of intramolecular movements within the Cry1Aa toxin molecule of Bacillus thuringiensis through disulfide bond engineering. FEBS Lett 410:397–402. doi: 10.1016/S0014-5793(97)00626-1. [DOI] [PubMed] [Google Scholar]
- 51.Alzate O, You T, Claybon M, Osorio C, Curtiss A, Dean DH. 2006. Effects of disulfide bridges in domain I of Bacillus thuringiensis Cry1Aa delta-endotoxin on ion-channel formation in biological membranes. Biochemistry 45:13597–13605. doi: 10.1021/bi061474z. [DOI] [PubMed] [Google Scholar]
- 52.Rodríguez-Almazán C, Zavala LE, Muñoz-Garay C, Jiménez-Juárez N, Pacheco S, Masson L, Soberón M, Bravo A. 2009. Dominant negative mutants of Bacillus thuringiensis Cry1Ab toxin function as anti-toxins: demonstration of the role of oligomerization in toxicity. PLoS One 4:e5545. doi: 10.1371/journal.pone.0005545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Sellami S, Jemli S, Abdelmalek N, Cherif M, Abdelkefi-Mesrati L, Tounsi S, Jamoussi K. 2018. A novel Vip3Aa16-Cry1Ac chimera toxin: enhancement of toxicity against Ephestia kuehniella structural study and molecular docking. Int J Biol Macromol 117:752–761. doi: 10.1016/j.ijbiomac.2018.05.161. [DOI] [PubMed] [Google Scholar]
- 54.Wallace AJ, Stillman TJ, Atkins A, Jamieson SJ, Bullough PA, Green J, Artymiuk PJ. 2000. E. coli hemolysin E (HlyE, ClyA, SheA): X-ray crystal structure of the toxin and observation of membrane pores by electron microscopy. Cell 100:265–276. doi: 10.1016/S0092-8674(00)81564-0. [DOI] [PubMed] [Google Scholar]
- 55.Palma L, Scott DJ, Harris G, Din SU, Williams TL, Roberts OJ, Young MT, Caballero P, Berry C. 2017. The Vip3Ag4 insecticidal protoxin from Bacillus thuringiensis adopts a tetrameric configuration that is maintained on proteolysis. Toxins (Basel) 9:E165. doi: 10.3390/toxins9050165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Jiang K, Hou XY, Tan TT, Cao ZL, Mei SQ, Yan B, Chang J, Han L, Zhao D, Cai J. 2018. Scavenger receptor-C acts as a receptor for Bacillus thuringiensis vegetative insecticidal protein Vip3Aa and mediates the internalization of Vip3Aa via endocytosis. PLoS Pathog 14:e1007347. doi: 10.1371/journal.ppat.1007347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Zhang Y, Fonslow BR, Shan B, Baek MC, Yates JR. 2013. Protein analysis by shotgun/bottom-up proteomics. Chem Rev 113:2343–2394. doi: 10.1021/cr3003533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Gowda A, Rydel TJ, Wollacott AM, Brown RS, Akbar W, Clark TL, Flasinski S, Nageotte JR, Read AC, Shi X, Werner BJ, Pleau MJ, Baum JA. 2016. A transgenic approach for controlling Lygus in cotton. Nat Commun 7:12213. doi: 10.1038/ncomms12213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Bravo A, Gómez I, Porta H, García-Gómez BI, Rodriguez-Almazan C, Pardo L, Soberón M. 2013. Evolution of Bacillus thuringiensis Cry toxins insecticidal activity. Microb Biotechnol 6:17–26. doi: 10.1111/j.1751-7915.2012.00342.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Pigott CR, Ellar DJ. 2007. Role of receptors in Bacillus thuringiensis crystal toxin activity. Microbiol Mol Biol Rev 71:255–281. doi: 10.1128/MMBR.00034-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Adang MJ, Crickmore N, Jurat-Fuentes JL. 2014. Diversity of Bacillus thuringiensis crystal toxins and mechanism of action. Adv Insect Physiol 47:39–87. doi: 10.1016/B978-0-12-800197-4.00002-6. [DOI] [Google Scholar]
- 62.Banerjee R, Hasler J, Meagher R, Nagoshi R, Hietala L, Huang F, Narva K, Jurat-Fuentes JL. 2017. Mechanism and DNA-based detection of field-evolved resistance to transgenic Bt corn in fall armyworm (Spodoptera frugiperda). Sci Rep 7:10877. doi: 10.1038/s41598-017-09866-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Flagel L, Lee YW, Wanjugi H, Swarup S, Brown A, Wang J, Kraft E, Greenplate J, Simmons J, Adams N, Wang Y, Martinelli S, Haas JA, Gowda A, Head G. 2018. Mutational disruption of the ABCC2 gene in fall armyworm, Spodoptera frugiperda, confers resistance to the Cry1Fa and Cry1A.105 insecticidal proteins. Sci Rep 8:7255. doi: 10.1038/s41598-018-25491-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Yang F, Kerns DL, Head GP, Brown S, Huang F. 2017. Susceptibility of Cry1F-maize resistant, heterozygous, and susceptible Spodoptera frugiperda to Bt proteins used in the transgenic cotton. Crop Prot 98:128–135. doi: 10.1016/j.cropro.2017.03.023. [DOI] [Google Scholar]
- 65.Pigott CR, King MS, Ellar DJ. 2008. Investigating the properties of Bacillus thuringiensis Cry proteins with novel loop replacements created using combinatorial molecular biology. Appl Environ Microbiol 74:3497–3511. doi: 10.1128/AEM.02844-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Pacheco S, Gómez I, Arenas I, Saab-Rincon G, Rodríguez-Almazán C, Gill SS, Bravo A, Soberón M. 2009. Domain II loop 3 of Bacillus thuringiensis Cry1Ab toxin is involved in a “ping pong” binding mechanism with Manduca sexta aminopeptidase-N and cadherin receptors. J Biol Chem 284:32750–32757. doi: 10.1074/jbc.M109.024968. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Fox R. 2005. Directed molecular evolution by machine learning and the influence of nonlinear interactions. J Theor Biol 234:187–199. doi: 10.1016/j.jtbi.2004.11.031. [DOI] [PubMed] [Google Scholar]
- 68.Jerga A, Chen D, Zhang C, Fu J, Kouadio JK, Wang Y, Duff SMG, Howard JE, Rydel TJ, Evdokimov AG, Ramaseshadri P, Evans A, Bolognesi R, Park Y, Haas JA. 2016. Mechanistic insights into the first Lygus-active β-pore forming protein. Arch Biochem Biophys 600:1–11. doi: 10.1016/j.abb.2016.03.016. [DOI] [PubMed] [Google Scholar]
- 69.Stein N. 2008. CHAINSAW: a program for mutating pdb files used as templates in molecular replacement. J Appl Crystallogr 41:641–643. doi: 10.1107/S0021889808006985. [DOI] [Google Scholar]
- 70.Vaughn JL, Goodwin RH, Tompkins GJ, McCawley P. 1977. The establishment of two cell lines from the insect Spodoptera frugiperda (Lepidoptera; Noctuidae). In Vitro 13:213–217. doi: 10.1007/BF02615077. [DOI] [PubMed] [Google Scholar]
- 71.Badran AH, Guzov VM, Huai Q, Kemp MM, Vishwanath P, Kain W, Nance AM, Evdokimov A, Moshiri F, Turner KH, Wang P, Malvar T, Liu DR. 2016. Continuous evolution of Bacillus thuringiensis toxins overcomes insect resistance. Nature 533:58–63. doi: 10.1038/nature17938. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Wolfersberger M, Luethy P, Maurer A, Parenti P, Sacchi FV, Giordana B, Hanozet GM. 1987. Preparation and partial characterization of amino acid transporting brush border membrane vesicles from the larval midgut of the cabbage butterfly (Pieris brassicae). Comp Biochem Physiol A Physiol 86:301–308. doi: 10.1016/0300-9629(87)90334-3. [DOI] [Google Scholar]
- 73.Sangadala S, Walters FS, English LH, Adang MJ. 1994. A mixture of Manduca sexta aminopeptidase and phosphatase enhances Bacillus thuringiensis insecticidal CryIA(c) toxin binding and 86Rb+-K+ efflux in vitro. J Biol Chem 269:10088–10092. [PubMed] [Google Scholar]
- 74.Edgar RC. 2004. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32:1792–1797. doi: 10.1093/nar/gkh340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Sturdier FW. 2005. Protein production by auto-induction in high-density shaking cultures. Protein Expr Purif 41:207–234. doi: 10.1016/j.pep.2005.01.016. [DOI] [PubMed] [Google Scholar]
- 76.Otwinowski Z, Minor W. 1997. Processing of X-ray diffraction data collected in oscillation mode, p 307–326. In Carter CW Jr, Sweet RM (ed), Macromolecular crystallography, part A Methods in enzymology, vol 276 Academic Press, New York, NY. doi: 10.1016/S0076-6879(97)76066-X. [DOI] [PubMed] [Google Scholar]
- 77.McCoy AJ, Grosse-Kunstleve RW, Adams PD, Winn MD, Storoni LC, Read RJ. 2007. Phaser crystallographic software. J Appl Crystallogr 40:658–674. doi: 10.1107/S0021889807021206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.CCP4 Collaborative. 1994. The CCP4 suite: programs for protein crystallography. Acta Crystallogr D 50:760–763. doi: 10.1107/S0907444994003112. [DOI] [PubMed] [Google Scholar]
- 79.Murshudov GN, Vagin AA, Dodson EJ. 1997. Refinement of macromolecular structures by the maximum-likelihood method. Acta Crystallogr D 53:240–255. doi: 10.1107/S0907444996012255. [DOI] [PubMed] [Google Scholar]
- 80.Emsley P, Cowtan K. 2004. Coot: model-building tools for molecular graphics. Acta Crystallogr D 60:2126–2132. doi: 10.1107/S0907444904019158. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The current structure of Cry1Da_7-DIP was deposited in the RCSB Protein Data Bank under accession number 6OVB. The current structure of the Cry1B.867-DIP variant was deposited in the RCSB Protein Data Bank under accession number 6OWK.