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一种用于早期检测和监测转基因作物中昆虫对苏云金芽孢杆菌抗性的田间筛选方法。

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

作者信息

Venette R C, Hutchison W D, Andow D A

机构信息

USDA-APHIS, University of Minnesota, St. Paul 55108, USA.

出版信息

J Econ Entomol. 2000 Aug;93(4):1055-64. doi: 10.1603/0022-0493-93.4.1055.

Abstract

We present a field-based approach to detect and monitor insects with resistance to insecticidal toxins produced by transgenic plants. Our objective is to estimate the phenotypic frequency of resistance in a population by relating the densities of insects on genetically transformed plants to densities on nontransformed plants. We focus on European corn borer, Ostrinia nubilalis (Hübner), in sweet corn, Zea mays L., expressing Cry1Ab from Bacillus thuringiensis subsp. kurstaki Berliner to illustrate principles underlying the method. The probability of detecting one or more rare, resistant larvae depends on sample size, the density of larvae on nontransformed plants, and an assumed frequency of resistant phenotypes in a given population. Probability of detection increases with increases in sample size, background density, or the frequency of resistant individuals. Following binomial probability theory, if a frequency of 10(-4) is expected, 10(3)-10(4) samples must be collected from a B. thuringiensis (Bt) crop to have at least a 95% probability of locating one or more resistant larvae. In-field screens using transgenic crops have several advantages over traditional laboratory-based methods, including exposure to a large number of feral insects, discrimination of resistant individuals based on Bt dosages expressed in the field, incorporation of natural and Bt-induced mortality factors, simultaneous monitoring for more than one insect species, and ease of use. The approach is amenable to field survey crews working in research, extension, and within the seed corn industry. Estimates of the phenotypic frequency of resistance from the in-field screen can be useful for estimating initial frequency of resistant alleles. Bayesian statistical methods are outlined to estimate phenotype frequencies, allele frequencies, and associated confidence intervals from field data. Results of the approach are discussed relative to existing complementary methods currently available for O. nubilalis and corn earworm, Helicoverpa zea (Boddie).

摘要

我们提出了一种基于田间的方法,用于检测和监测对转基因植物产生的杀虫毒素具有抗性的昆虫。我们的目标是通过将转基因植物上昆虫的密度与非转基因植物上昆虫的密度相关联,来估计种群中抗性的表型频率。我们重点研究甜玉米(Zea mays L.)中的欧洲玉米螟(Ostrinia nubilalis (Hübner)),该甜玉米表达来自苏云金芽孢杆菌库尔斯塔克亚种(Bacillus thuringiensis subsp. kurstaki Berliner)的Cry1Ab,以阐明该方法的基本原理。检测到一个或多个罕见抗性幼虫的概率取决于样本大小、非转基因植物上幼虫的密度以及给定种群中抗性表型的假定频率。检测概率随样本大小、背景密度或抗性个体频率的增加而增加。根据二项式概率理论,如果预期频率为10^(-4),则必须从苏云金芽孢杆菌(Bt)作物中采集10^3 - 10^4个样本,才有至少95%的概率找到一个或多个抗性幼虫。与传统的基于实验室的方法相比,使用转基因作物进行田间筛选有几个优点,包括接触大量野生昆虫、根据田间表达的Bt剂量区分抗性个体、纳入自然和Bt诱导的死亡因素、同时监测多种昆虫物种以及易于使用。该方法适用于从事研究、推广工作以及种子玉米行业的田间调查人员。从田间筛选中获得的抗性表型频率估计值可用于估计抗性等位基因的初始频率。概述了贝叶斯统计方法,用于从田间数据估计表型频率、等位基因频率和相关的置信区间。相对于目前可用于欧洲玉米螟和玉米穗虫(Helicoverpa zea (Boddie))的现有补充方法,讨论了该方法的结果。

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