Translator Disclaimer
14 June 2019 Spodoptera frugiperda (Lepidoptera: Noctuidae) Strains from Northern Argentina: Esterases, Profiles, and Susceptibility to Bacillus thuringiensis (Bacillales: Bacillaceae)
Author Affiliations +

Spray products based on Bacillus thuringiensis (Bt) (Berliner) (Bacillales: Bacillaceae) are widely used as control agents of the fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), in some major crops such as corn, cotton, and soy. However, there is little information about the toxicity of Bt formulations to control corn and rice-infesting S. frugiperda strains. These S. frugiperda strains are morphologically indistinguishable, so they are genetically identified as corn and rice S. frugiperda strains. The main objective of this study was to evaluate the susceptibility of third instar larvae of both S. frugiperda biotypes to either the native Bt RT or the reference Bt HD1 subsp. kurstaki (Btk) formulations. In addition, the S. frugiperda populations were characterized by their esterase profile in polyacrylamide gels. This study also allowed differentiation of the S. frugiperda strains. Concerning the susceptibility assays, a significant difference in mortality values was found within some corn or rice S. frugiperda colonies when Bt RT treatment was used, whereas there were no significant differences in Btk HD1 toxicity within colonies that share the same biotype. When toxicity of either the native Bt RT or the reference Btk HD1 to each S. frugiperda biotype was compared, significant differences in mortality values also were found in the corn and the rice S. frugiperda strains. Finally, the statistical analysis of the mortality data revealed that there was a significant difference between the 2 S. frugiperda strains, regardless of the Bt preparation. These results show that the S. frugiperda control could depend not only on the bioinsecticide used, but also on the S. frugiperda biotype being treated.

Fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), is a generalist insect that attacks important crops using a diversity of plants as hosts. Two S. frugiperda biotypes that show host-plant associated genetic variation have been described. The rice strain is associated with rice (Oryza sativa L.; Poaceae) and bermudagrass (Cynodon dactylon [L.] Pers.; Poaceae), whereas the corn strain predominates on corn (Zea mays L.; Poaceae), sorghum (Sorghum bicolor [L.] Moench.; Poaceae), and cotton (Gossypium spp.; Malvaceae) (Pashley 1986). More recently, Prowell et al. (2004) reported that although host specificity generally is strong, asymmetries in host fidelity occurs, showing a wider range of host use in the rice S. frugiperda strain. The presence of both S. frugiperda biotypes was reported from southern Canada to Argentina (Starratt & McLeod 1982; Busato et al. 2004; Prowell et al. 2004; Virla et al. 2008; Juárez et al. 2012). These strains also are sympatric and morphologically identical (Pashley et al. 1985). However, there is some evidence that the S. frugiperda strains can be differentiated by their wing morphometrics (Cañas-Hoyos et al. 2014). In addition, the corn and rice S. frugiperda strains produce different female sex pheromone blends (Groot et al. 2008) and they vary, not only in the timing of the reproductive traits, but also in their temporal patterns of locomotor activity (Schöfl et al. 2009). Nagoshi & Meagher (2004) reported that the 2 S. frugiperda strains could display a markedly different response to seasonal environmental cues as well. Besides host specificity, the S. frugiperda biotypes also are identified by molecular techniques, such as allozyme markers (Prowell et al. 2004), PCR-RFLP (restriction fragment-length polymorphism) of the mitochondrial COI (cytochrome oxidase subunit I) gene (Levy et al. 2002), AFLP (amplified fragment-length polymorphism) (McMichael & Prowell 1999; Prowell et al. 2004), tandemly repeated DNA sequences (Lu et al. 1994), etc. In addition, the genome of both biotypes was recently sequenced showing that individuals of corn and rice S. frugiperda populations were significantly different from each other; specifically, the authors found significant number variations in detoxification and digestion genes between the S. frugiperda strains, which are consistent with differential adaptation to different host-plant ranges (Gouin et al. 2017).

The use of bioinsecticides to control S. frugiperda represents a promising alternative to the intensive use of chemical insecticides. In this connection, Bacillus thuringiensis (Bt) (Berliner) (Bacillales: Bacillaceae) is the most widely used entomopathogen, and it also is compatible with sustainable and environmentally friendly agricultural practices (Brar et al. 2007). This Gram-positive bacterium produces crystalline proteinaceous inclusions called Cry toxins that turn Bt into a valuable tool for insect pest management (Bravo et al. 2011). In addition, Btbased formulations are highly specific with low toxicity to non-target organisms (Pigott & Ellar 2007).

There is little information about the toxicity of Bt formulations against molecularly identified corn and rice S. frugiperda strains. Thus, a better understanding of the insect response is of great interest in terms of biopesticide application. Accordingly, the main objective of this study was to assess the susceptibility of third instar larvae of both S. frugiperda strains to Bt preparations. In addition, the S. frugiperda populations were characterized by their esterase isozyme markers to further understand those biotypes.

Materials and Methods


At least 50 larvae of fall armyworm (S. frugiperda) were collected from 6 different localities, such as Charata (27.166666°S, 61.066666°W), El Manantial (26.816666°S, 65.266666°W), El Mollar (26.933333°W, 65.666666°W), Lules (26.900000°S, 65.133333°W), Metan (25.633333°S, 64.933333°W), and Raco (26.616666°S, 65.416666°W) in northern Argentina (Fig. 1). Larvae at different stages were manually collected from the whorl of the plants, and individually placed in glass tubes (12 cm length × 1.5 cm diam) (I.V.A., Buenos Aires, Argentina) containing host leaves of rice (Oryza sativa L.) or corn (Zea mays L.) as appropriate. Adults were reared in recycled and colorless plastic bottles (30 cm high × 10 cm diam) (M&S, Villa Del Parque, CABA, Buenos Aires, Argentina). For aeration, the top was closed with a nylon mesh cloth (locally acquired). These cages contained pieces of paper that allowed the females to oviposit. Food was provided via a cotton plug saturated with a mixture of honey and water (1: 1 vol/vol). The cages were checked daily for oviposition and adult mortality. Egg masses were collected and deposited in glass tubes as mentioned above. Once emerged, neonate larvae were placed in 250 cc plastic pots (locally acquired) covered with a nylon mesh cloth until they reached the third instar. These third instar larvae were isolated in glass tubes to prevent cannibalism. All cultures were separately maintained in the laboratory rooms at 25.0 ± 0.5 °C, 14: 10 h (L: D) artificial photoperiod, and 70 ± 15% RH. Larvae were fed with artificial diet that contained (in g per L-1): 150 bean flour; 35 wheat germ; 30 brewer's yeast; 6 ascorbic acid; 1.6 sorbic acid; 2 nipagin; 22 agar; and 2 mL formaldehyde as described by Osores et al. (1982).

Fig. 1.

Map of locations in northern Argentina where Spodoptera frugiperda larvae were collected. Populations from El Mollar, Lules, and Charata were genetically identified as corn S. frugiperda strains, whereas those from El Manantial, Raco, and Metán were typified as rice S. frugiperda strains.


All biological assays were done using third instar larvae of an F2 laboratory generation. This procedure was conducted to minimize disease and eliminate parasitoids (Perkins 1979). So newly emerged caterpillars obtained from eggs were individualized and kept in transparent tubes. Until the third instar, the daily procedures were food exchange, recipient cleanings, and collection of cephalic capsules.


All S. frugiperda populations were tested by PCR-RFLP of the cytochrome oxidase I COI gene. Extraction of genomic DNA was performed using a cetyl trimethyl ammonium bromide (CTAB) based extraction protocol as described by Clark et al. (2007). Its PCR amplification was conducted in a 25 μL reaction mix containing 2.5 μL 10 X STR reaction buffer (Promega Corporation, Madison, Wisconsin, USA), 20 ng total DNA, 20 pmol L-1 of JM76 and JM77 primers, and 2 units of Taq DNA polymerase (Promega Corporation, Madison, Wisconsin, USA). Amplification was performed on a DNA thermocycler (Perkin-Elmer, Waltham, Massachusetts, USA) with the following program: an initial incubation at 94 °C (5 min), followed by 35 cycles of 94 °C (1 min), 58 °C (1 min), 72 °C (2 min), and a final segment of 72 °C for 7 min. Samples were electrophoresed in 7% PAGE (polyacrylamide gel electrophoresis) gel, then stained with ethidium bromide. The PCR amplified DNA products (0.5 μL) were digested in separated reactions with either SacI or MspI restriction endonuclease (Promega Corporation, Madison, Wisconsin, USA). Samples were incubated at 37 °C for 1 h. The restriction enzyme profiles also were visualized with ethidium bromide in 8.0% PAGE gel. Primers were synthesized by Tecnolab S.A. (Buenos Aires, Argentina). They included JM76 (5′-GAGCTGAATTAGG(G/A)ACTCCAGG-3′) and JM77(5′-ATCACCTCC(A/T)CCTGCAGGATC-3′) (Levy et al. 2002).


Third instar larvae of F1 laboratory generation were macerated in 10 mM Tris-HCl buffer (pH 8.0). Homogenates were centrifuged at 12,000 g for 5 min at 4 °C, and supernatants were used immediately for electrophoresis. Extracts were separated by non-denaturing PAGE using a 10% (wt vol-1) polyacrylamide gel. The molecular weight estimation of each esterase was determined by comparing its electrophoretic mobility with that of proteins contained in the high molecular weight calibration kit from GE Healthcare (Little Chalfont, Amersham, Buckinghamshire, United Kingdom). Esterase activity was assayed using 1.3 mM of α-naphthyl acetate (C2) as a substrate. Released naphthol was bound with 1 mM Fast Blue to give a colored product. Reactions were carried out at 37 °C in shaken plates containing 100 mM phosphate buffer (pH 7).


The native Bt RT strain from our own culture collection was used throughout this study. Its 16 S rRNA partial nucleotide sequence was deposited in GenBank database under the accession number EF638795. The reference strain Btk HD1 was kindly provided by Daniel Zaigler, Bacillus Genetic Stock Center, Columbus, Ohio, USA. Spore-crystal suspensions were prepared by suspending in sterilized water a 5-d culture grown on LB agar at 30 °C. The presence of crystal proteins was checked with Coomasie blue reagent (Sharif & Alaeddinoğlu 1988). To determine protein concentration, 1 mL of the suspension was washed twice with NaCl 0.14 M 0.01% Triton X100. The pellet was suspended in 1 mL of NaOH 0.02 N for 5 h. Samples were centrifuged at 12,000 g for 10 min. At the end, the protein content was measured in the supernatant by the Lowry method (Lowry et al. 1951) using bovine serum albumin as the standard.


All experiments were conducted in a climate-controlled room at 25.0 ± 0.5 °C, 70 ± 15% RH, and a photoperiod of 14: 10 h (L: D). Ten replicates of 10 third instar larvae were fed the artificial diet (approximately 0.25 cm2), previously soaked with 40 μL of a Bt spore-crystal suspension containing a protein concentration of 0.75 mg mL-1. Before the start of the bioassay, those pieces were dried for 30 min under sterile conditions. Control groups were conducted with a piece of artificial diet soaked with 40 μL of sterile distilled water.

Larvae that could not crawl after being touched with a brush were considered dead. Mortality was scored every 24 h for 7 d.


The analysis of the variance (ANOVA) and the subsequent Tukey's post-hoc test were performed using the Minitab (version 14; Minitab Inc., State College, Pennsylvania, USA) software for windows. Differences were accepted as significant when P < 0.05. Esterase activity bands were individually identified by their specific migration rates in the electrophoretic assay. Once bands were properly and distinctively identified, binary (0/1) matrices were constructed to compare the patterns. Simple matching similarity coefficients were generated by the SIMQUAL subroutine from the NTSYS-pc 2.02f (Applied Biostatistics, Inc., Setauket, New York, USA). Clusters were then constructed by the unweighted pair group method with arithmetic average (UPGMA) algorithm with the NTSYS program (Rohlf 1998).



As shown in Figure 1, S. frugiperda larvae were collected from corn fields and grass plants located in northern Argentina. They were molecularly characterized by the presence of diagnostic mitochondrial markers. Briefly, amplified products (569 base pairs) obtained with the JM-76/JM-77 primers, were separately digested with SacI and MspI restriction enzymes. The amplified product from the rice S. frugiperda strain was cut once by SacI but not by MspI, whereas the corn S. frugiperda strain showed a reciprocal pattern. According to these molecular markers, populations from Charata, Lules, and El Mollar were identified as corn strains, whereas those from Metán, Raco, and El Manantial were found to be rice strains.


To further knowledge about these S. frugiperda biotypes, the regional populations were characterized by their esterase isozyme markers. Esterase patterns of third instar larvae from both S. frugiperda biotypes are shown in Figure 2. Two distinct esterase bands groups called EST 1 and EST 2 were detected. A group of lower molecular weight esterase (EST 1) was found in both strains, marking differences between individuals. The group of heavier esterase bands (EST 2) displayed differences between biotypes, allowing their differentiation. A band of 220 kDa was found exclusively in rice biotype larvae. In the same way, for the corn biotype, 2 polymorphic esterase bands of either 86 or 112 kDa were observed.

The degree of similarity among of S. frugiperda populations based on their respective esterase profile (Fig. 2) is depicted in Figure 3. The numerical analysis clearly revealed 2 major clusters at a similarity level of 51%. Cluster a comprised corn strains, while cluster b included rice strains.


The susceptibility of 6 S. frugiperda populations (100 individuals per population) to Bt preparations was evaluated. As mentioned above, 3 colonies of rice, as well as corn, S. frugiperda strains were studied by using third instar larvae of each biotype exposed to either Bt RT or Btk HD1 formulations. The mean ± SD of mortality values obtained for each treatment are shown in Table 1. It was observed that a significant difference in mortality values was found within some corn or rice colonies when Bt RT treatment was used, whereas there were no significant differences in Btk HD1 toxicity within colonies that share the same biotype. In addition, no larvae death was observed in the control group.

Fig. 2.

Esterase profiles of corn and rice S. frugiperda strains collected from corn fields and grass plants located in northern Argentina. Individuals from El Mollar (a), El Manantial (b), Raco (c), and Charata (d). Populations from El Mollar and Charata were genetically identified as corn S. frugiperda strains, whereas those from El Manantial and Raco were identified as rice S. frugiperda strains. For comparison, 1 individual from corn (1) and rice (2) S. frugiperda strain also was shown (e). Molecular weight markers (MWM, kDa).


On the other hand, when toxicity of either Bt RT or Btk HD1 to each biotype (300 individuals per biotype) was compared, significant differences were found in corn (F = 39.93; P < 0.001) and rice (F = 6.83; P = 0.011) S. frugiperda strains. For S. frugiperda corn colonies, the percentage of larvae that died due to Bt RT and Btk HD1 was 71 ± 11 and 52 ± 11, respectively, whereas for S. frugiperda rice colonies, the percentage of larvae that died due to Bt RT and Btk HD1 was 83 ± 11 and 74 ± 14, respectively. According to these results, the native Bt RT was more toxic to S. frugiperda populations than the reference strain Btk HD1.

An additional statistical analysis of mortality data from 3 populations (600 individuals; 300 treated with Bt Rt, and 300 treated with Btk HD1) of each biotype also revealed that there was a significant difference between the 2 S. frugiperda strains (F = 45.24; P < 0.001). The mortality values for rice and corn S. frugiperda strains were 79 ± 13 and 62 ± 14 %, respectively. Those mortality values showed that rice S. frugiperda strains were more sensitive than corn S. frugiperda strains, regardless of the Bt preparation used.


The susceptibility of S. frugiperda populations to Bt products has been explored in different ways. One was the incidence of the geographical region. In an interesting work, Monnerat et al. (2006) found differences among 3 S. frugiperda populations from Latin American countries such as Mexico, Colombia, and Brazil when Bt strains or pure Cry1B, Cry1C, and Cry1D toxins were studied. Additionally, by using the random amplification of polymorphic DNA-PCR technique, the authors detected a genetic variability among S. frugiperda colonies that allows the clustering of S. frugiperda populations associated with corn according to their geographical origin. Another scenario was the evaluation of the susceptibility of S. frugiperda host-associated strains to the δ-endotoxin present in transgenic crops. For example, S. frugiperda larvae collected from bermudagrass (Cynodon dactylon [L.] Pers; Poaceae) and browntop millet (Urochloa ramosa [L.] Nguyen; Poaceae) were significantly more susceptible to transgenic Bt cotton that expresses the Cry1Ac protein than larvae collected from field corn (Adamczyk et al. 1997). In our research, it was shown that S. frugiperda colonies molecularly identified as rice biotype displayed a higher susceptibility to Bt formulates than the corn biotype in populations from northern Argentina. These results are compatible with those reported by Ingber et al. (2018) using diet-based bioassays, in which corn and hybrid populations also were more tolerant to the Bt toxins than the rice S. frugiperda strain.

Fig. 3.

Dendrogram showing clustering and relationships of S. frugiperda samples based on the presence or absence of esterase activity bands in non-denaturing polyacrylamide gel. Associations were produced by using the UPGMA clustering method. Major clusters are denoted as (a) and (b). Sample numbers correspond to individuals from El Mollar (Mo), El Manantial (Mn), Raco (Rc), and Charata (Ch) shown in Figure 2. Populations were genetically identified as corn (C) or rice (R) S. frugiperda strains.


Additionally, it is necessary to mention that there are some reports that fail to show associations between molecularly identified S. frugiperda biotypes and their respective hosts (Martinelli et al. 2007; Virla et al. 2008; Salinas-Hernandez & Saldamando-Benjumea 2011; Rosas-García et al. 2016). In fact, our results also showed 2 cases where the rice S. frugiperda biotypes were collected from corn host plants (populations from Metán and El Manantial) (Table 1). Thus, because a host plant is not always determinant for the identification of the colonizing S. frugiperda strain, its molecular characterization is highly recommended before studying any aspect of the pest. Accordingly, in this work, both S. frugiperda biotypes were properly identified by the presence of diagnostic mitochondrial markers before the susceptibility assays were conducted. It is interesting to note that although these results were obtained using isolated DNA, the strain characterization also may be done by amplifying DNA directly from S. frugiperda tissues, such as eggs or neonate larva that is either frozen or ethanol preserved (Loto et al. 2013). The use of ethanol-preserved larvae is very attractive, especially in those cases where the sample is required to maintain optimum conditions for extended periods, e.g., during the collection of insect specimens.

Table 1.

Origin of Spodoptera frugiperda populations and their susceptibility to Bacillus thuringiensis preparations in bioassays done with third instar larvae.


Furthermore, allozymes studies allowed the differentiation between related species (Stuchi et al. 2012) and biotypes (Coats et al. 1994) when they were used as molecular makers. Additionally, zymographic analysis also is frequently applied for the identification of species and biotypes of insect populations (Loxdale & Brookes 1989). Here, S. frugiperda larvae collected from corn fields and grass plants located in northern Argentina also were analyzed by using their esterase activities. Non-denaturing polyacrylamide gel electrophoresis showed different esterase patterns among the strains and between individuals. The presence of enzymes from the EST 1 group was repeated in populations from different localities. However, bands grouped in EST 2 were biotype specific. An esterase of 220 kDa was found exclusively in S. frugiperda rice populations, while a band of 86 kDa or 112 kDa was specific for the corn biotype. Thus, according to the esterase activity data, the S. frugiperda biotypes also were differentiated. Furthermore, in addition to its application as a molecular marker, the functionality of these enzymes in insects is typically associated with insecticide resistance (Li et al. 2007). Resistant S. frugiperda strains usually have a metabolism of esterases higher than their susceptible counterparts (Yu et al. 2003). So, the presence of differential esterase patterns in both S. frugiperda biotypes also could explain part of the differences in Bt susceptibility. In addition, the genome comparison of both S. frugiperda strains showed differences in detoxification genes, including esterases, glicosyltransferases, and Cytochrome P450 enzymes. The corn strain presents 6 esterase genes that are absent in the rice strain. Meanwhile, 1 esterase gene is present only in the rice strain genome (Gouin et al. 2017).

Concerning the susceptibility of third instar larvae of both S. frugiperda strains to Bt preparations, the native Bt RT was found to be highly pathogenic, even more so than the reference strain Btk HD1. In this connection, it was previously reported that each Bt strain shows a different combination of cry genes. Under the same assays conditions, Btk HD1 amplifies for cry1Aa, cry1Ab, cry1Ac, cry2Aa, and cry2Ab, whereas Bt RT amplifies only for cry1Ab, cry1Ac, and cry2Ab. However, it also was observed that the native Bt RT strain has a significantly higher specific biomass-bound protease activity (1,988 ± 98 U g dry wt-1) than the reference Btk HD1 strain (946 ± 14 U g dry wt-1) (Álvarez et al. 2009). Although it is known that Cry toxins are solubilized and activated by host proteases once ingested (Pigott & Ellar 2007), these results and those reviewed by Brar et al. (2007), who discussed the role of Bt proteases as a potential indicator of entomotoxicity, could be an alternative or complementary toxicity mechanism of Bt-based biopesticides.

As a conclusion to this research, S. frugiperda control could depend not only on the bioinsecticide used, but also on the S. frugiperda biotype being treated. Thus, the bioassays conducted in this work showed that third instar larvae of rice S. frugiperda strains were more sensitive than those of corn S. frugiperda strains, regardless of the Bt preparation used. In this connection, the S. frugiperda characterization by either genetic or esterase isozyme markers is highly recommended before studying any aspect of the pest. Additionally, the search for novel Bt strains such as the native Bt RT also will expand the repertoire of Bt-based biopesticides.


This work was supported by grants PICT 2015 2596 Fondo para la Investigación Científica y Tecnológica (FONCyT), and PIP 339 Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET).

References Cited


Adamczyk Jr JJ, Holloway JW, Leonard BR, Graves JB. 1997. Susceptibility of fall armyworm collected from different plant hosts to selected insecticides and transgenic Bt cotton.Journal of Cotton Science1: 21–28. Google Scholar


Álvarez A, Pera LM, Loto F, Virla EG, Baigorí MD. 2009. Insecticidal crystal proteins from native Bacillus thuringiensis: numerical analysis and biological activity against Spodoptera frugiperda.Biotechnology Letters31: 77–82. Google Scholar


Brar SK, Verma M, Tyagi RD, Surampalli RY, Barnabé S, Valéro JR. 2007. Bacillus thuringiensis proteases: production and role in growth, sporulation and synergism.Process Biochemistry42: 773–790. Google Scholar


Bravo A, Likitvivatanavong S, Gill SS, Soberón M. 2011. Bacillus thuringiensis: a story of a successful bioinsecticide.Insect Biochemistry and Molecular Biology41: 423–431. Google Scholar


Busato GR, Grützmacher AD, DE Oliveira AC, Vieira EA, Zimmer PD, Kopp MM, Bandeira JD, Magalhaes TR. 2004. Análise da estructura e diversidade molecular de populacoes de Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) associadas as culturas de milho e arroz no Rio Grande do Sul.Neotropical Entomology31: 525–529. Google Scholar


Cañas-Hoyos N, Márquez EJ, Saldamando-Benjumea. 2014. Differentiation of Spodoptera frugiperda (Lepidoptera: Noctuidae) corn and rice strains from Central Colombia: a wing morphometric approach.Annals of the Entomological Society of America107: 575–581. Google Scholar


Clark PL, Molina-Ochoa J, Martinelli S, Skoda SR, Isenhour DJ, Lee DJ, Krumm JT, Foster JE. 2007. Population variation of the fall armyworm, Spodoptera frugiperda, in the Western Hemisphere.Journal of Insect Science7: 1–10. Google Scholar


Coats AS, Donald JK, Hendrix L. 1994. Biochemical characterization of biotype-specific esterases in the whitefly, Bemisia tabaci Genn (Homoptera: Aleyrodidae).Insect Biochemistry and Molecular Biology24: 723–728. Google Scholar


Gouin A, Bretaudeau A, Nam K, Gimenez S, Aury JM, Duvic B, Hilliou F, Durand N, Montagné N, Darboux I. 2017.Two genomes of highly polyphagous lepidopteran pests (Spodoptera frugiperda, Noctuidae) with different host-plant ranges.Scientific Reports, Nature Publishing Group1: 1–12. Google Scholar


Groot AT, Marr M, Schöfl G, Lorenz S, Svatos A, Heckel DG. 2008. Host strain specific sex pheromone variation in Spodoptera frugiperda.Frontiers in Zoology13: 1–13. Google Scholar


Ingber DA, Mason CE, Flexner L. 2018. Cry1 Bt susceptibilities of fall armyworm (Lepidoptera: Noctuidae) host strains.Journal of Economic Entomology111: 361–368. Google Scholar


Juárez ML, Murúa MG, García MG, Ontivero M, Vera MT, Vilardi JC, Groot AT, Castagnaro AP, Gastaminza G, Willink E. 2012. Host association of Spodoptera frugiperda (Lepidoptera: Noctuidae) corn and rice strains in Argentina, Brazil and Paraguay.Journal of Economic Entomology105: 573–582. Google Scholar


Levy HC, Garcia-Maruniak A, Maruniak JE. 2002. Strain identification of Spodoptera frugiperda (Lepidoptera: Noctuidae) insects and cell line: PCR-RFLP of cytochrome oxidase subunit I gene.Florida Entomologist85: 186–190. Google Scholar


Li X, Schuler MA, Berenbaum MR. 2007. Molecular mechanisms of metabolic resistance to synthetic and natural xenobiotics.The Annual Review of Entomology52: 231–253. Google Scholar


Loto F, Romero CM, Baigorí MD, Pera LM. 2013. Direct DNA amplification from fall armyworm (Lepidoptera: Noctuidae) samples.Florida Entomologist96: 1618–620. Google Scholar


Lowry OH, Rosenbrough NJ, Farr AL, Randall RJ. 1951. Protein measurement with the Folin phenol reagent.Journal of Biological Chemistry193: 265–275. Google Scholar


Loxdale HD, Brookes CP. 1989. Use of genetic markers (allozymes) to study the structure, overwintering and dynamics of pest aphid populations, pp. 231–270 In Loxdale HD, Hollander J [eds.], Electrophoretic Studies on Agriculture Pests.Clarendon Press, Oxford, United Kingdom. Google Scholar


Lu YL, Kochert GD, Isenhour DJ, Adang MJ. 1994. Molecular characterization of a strain-specific repeated DNA sequence in the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae).Insect Molecular Biology3: 123–130. Google Scholar


Martinelli S, Clark PL, Zucchi MI, Silva-Filho MC, Foster JE, Omoto C. 2007. Genetic structure and molecular variability of Spodoptera frugiperda (Lepidoptera: Noctuidae) collected in maize and cotton fields in Brazil.Bulletin of Entomological Research97: 225–231. Google Scholar


McMichael M, Prowell DP. 1999. Differences in amplified fragment-length polymorphisms in fall armyworm (Lepidoptera: Noctuidae) host strains.Annals of the Entomological Society of America92: 175–181. Google Scholar


Monnerat R, Martins E, Queiroz P, Ordúz S, Jaramillo G, Benintende G, Cozzi J, Real MD, Martinez-Ramirez A, Rausell C, Cerón J, Ibarra JE, Del Rincon-Castro MC, Espinoza AM, Meza-Basso L, Cabrera L, Sánchez J, Soberon M, Bravo A. 2006. Genetic variability of Spodoptera frugiperda Smith (Lepidoptera: Noctuidae) populations from Latin America is associated with variations in susceptibility to Bacillus thuringiensis cry toxins.Applied Environmental Microbiology72: 7029–7035. Google Scholar


Nagoshi RN, Meagher RL. 2004. Seasonal distribution of fall armyworn (Lepidoptera: Noctuidae) host strains in agricultural and turf grass habitats.Environmental Entomology33: 881–889. Google Scholar


Osores V, Willink E, Costilla M. 1982. Cría de Diatraea saccharalis F. en laboratorio.Boletín de la EEAOC, Tucumán139: 1–10. Google Scholar


Pashley DP. 1986. Host-associated genetic differentiation in fall armyworm (Lepidoptera: Noctuidae): a sibling species complex?Annals of the Entomological Society of America79: 898–904. Google Scholar


Pashley DP, Johnson SJ, Sparks AN. 1985. Genetic population structure of migratory moths: the fall armyworm (Lepidoptera: Noctuidae).Annals of the Entomological Society of America78: 756–762. Google Scholar


Perkins WD. 1979. Laboratory rearing of the fall armyworm.Florida Entomologist62: 87–91. Google Scholar


Pigott CR, Ellar DJ. 2007. Role of receptors in Bacillus thuringiensis crystal toxin activity.Microbiology and Molecular Biology Reviews71: 255–281. Google Scholar


Prowell DP, McMichael M, Silvain JF. 2004. Multilocus genetic analysis of host use, introgression, and speciation in host strains of fall armyworm (Lepidoptera: Noctuidae).Annals of the Entomological Society of America97: 1034–1044. Google Scholar


Rohlf FJ. 1998. NTSYS-pc Numerical Taxonomy and Multivariate Analysis System, ver. 2.02f.Applied Biostatistics, New York, USA. Google Scholar


Rosas-García NM, Herrera-Mayorga V, Rivera G, Mireles-Martínez M, Paredes Sánchez FA, Villegas-Mendoza JM. 2016. Identificación de biotipos de Spodoptera frugiperda provenientes de plantas hospederas de maíz en diferentes regiones de México.Southwestern Entomologist41: 761–770. Google Scholar


Salinas-Hernandez H, Saldamando-Benjumea CI. 2011. Haplotype identification within Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) corn and rice strains from Colombia.Neotropical Entomology40: 421–430. Google Scholar


Schöfl G, Heckel DG, Groot AT. 2009. Time-shifted reproductive behaviours among fall armyworm (Noctuidae: Spodoptera frugiperda) host strains: evidence of differing modes of inheritance.Journal of Evolutionary Biology22: 1447–1459. Google Scholar


Sharif FA, Alaeddinoğlu NG. 1988. A rapid and simple method for staining of the crystal protein of Bacillus thuringiensis.Journal of Industrial Microbiology3: 227–229. Google Scholar


Starratt AN, McLeod DGR. 1982. Monitoring fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae), moth populations in southwestern Ontario with sex pheromone traps.The Canadian Entomologist114: 545–549. Google Scholar


Stuchi ALPB, Toledo VAA, Lopes DA, Cantagalli LB, Ruvolo-Takasusuki MCC. 2012. Molecular marker to identify two stingless bee species: Tetragonisca angustula and Tetragonisca fiebrigi (Hymenoptera, Meliponinae).Sociobiology59: 123–134. Google Scholar


Virla E, Alvarez A, Loto F, Pera LM, Baigorí M. 2008. Fall armyworm strains (Lepidoptera: Noctuidae) in Argentina, their associate host plants and response to different mortality factors in laboratory.Florida Entomologist91: 63–69. Google Scholar


Yu SJ, Nguyen SN, Abo-Elghar GE. 2003. Biochemical characteristics of insecticide resistance in the fall armyworm, Spodoptera frugiperda (J. E. Smith).Pesticide Biochemistry and Physiology77: 1–11. Google Scholar
Flavia del Valle Loto, Alfonso Emanuel Carrizo, Cintia Mariana Romero, Mario Domingo Baigorí, and Licia María Pera "Spodoptera frugiperda (Lepidoptera: Noctuidae) Strains from Northern Argentina: Esterases, Profiles, and Susceptibility to Bacillus thuringiensis (Bacillales: Bacillaceae)," Florida Entomologist 102(2), 347-352, (14 June 2019).
Published: 14 June 2019

Back to Top