An in-field screen for early detection and monitoring of insect resistanceto Bacillus thuringiensis in transgenic crops

Citation
Rc. Venette et al., An in-field screen for early detection and monitoring of insect resistanceto Bacillus thuringiensis in transgenic crops, J ECON ENT, 93(4), 2000, pp. 1055-1064
Citations number
54
Categorie Soggetti
Entomology/Pest Control
Journal title
JOURNAL OF ECONOMIC ENTOMOLOGY
ISSN journal
00220493 → ACNP
Volume
93
Issue
4
Year of publication
2000
Pages
1055 - 1064
Database
ISI
SICI code
0022-0493(200008)93:4<1055:AISFED>2.0.ZU;2-R
Abstract
We present a field-based approach to detect and monitor insects with resist ance to insecticidal toxins produced ty transgenic plants. Out objective is to estimate the phenotypic frequency of resistance in a population by rela ting the densities of insects on genetically transformed plants to densitie s on nontransformed plants. We focus on European corn borer, Ostrinia nubil alis (Hubner), in sweet corn, Zea mays L., expressing Cry1Ab from Bacillus thuringiensis subsp. kurstaki Berliner to illustrate principles underlying the method. Thr probability of detecting one or more rare, resistant larvae depends on sample size, the density of larvae on nontransformed plants. an d an assumed frequency of resistant phenotypes in a given population. Proba bility of detection increases with increases in sample size, background den sity, or the frequency of resistant individuals. Following binomial probabi lity theory, if a frequency of 10(-4) is expected. 10(3)-10(4) samples must Le collected from a B. thuringiensis (Bt) crop to have at least a 95% prob ability of locating one or more resistant larvae. In-field screens using tr ansgenic crops have several advantages over traditional laboratory-based me thods, including exposure to a large number of feral insects, discriminatio n of resistant individuals based on Bt dosages expressed in the field, inco rporation of natural and Bt-induced mortality factors, simultaneous monitor ing for more than one insect species, and ease of use. The approach is amen able to field survey crews working in research, extension, and within the s eed corn industry. Estimates of the phenotypic frequency of resistance fron t the in-field screen can Le useful for estimating Initial frequency of res istant alleles. Bayesian statistical methods are outlined to estimate pheno type frequencies, allele frequencies, and associated confidence intervals f rom field data. Results of the approach are discussed relative to existing complementary methods currently available for O. nubilalis and corn earworm , Helicoverpa zea (Boddie).