Detection and monitoring of insect resistance to transgenic Bt crops

作     者：FANGNENG HUANG 

作者机构：Department of Entomology Louisiana State University AgCenter Baton Rouge Louisiana USA 

出 版 物：《Insect Science》 (昆虫科学（英文版）)

年 卷 期：2006年第13卷第2期

页      面：73-84页

核心收录：

学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 09[农学] 0904[农学-植物保护] 0901[农学-作物学] 0713[理学-生态学] 

基　　金：We thank Drs Rogers Leonard  Mike Stout  and Don Cook for reviewing an earlier draft of the manuscript. The author would also like to contribute this article as a celebration of the 10th anniversary of the successful use of transgenic Bt crops. This article is approved as publication No. 05-26-0724 from the Louisiana Agricultural Experiment Station and represents work sponsored by the US National Science Foundation Center for IPM  NC-205  and Hatch funds from Department of Entomology  Louisiana State University AgCenter 

主　　题：Bt resistance management resistance monitoring transgenic plants 

摘      要：Transgenic crops expressing Bacillus thuringiensis （Bt） endotoxins havebecome one of the most important tools for managing corn and cotton insect pests in the US and other countries. The widespread adoption of transgenic Bt crops could place a high degree of selection pressure on the target insect populations and accelerate development of resistance, raising concerns about the long-term durability of Bt plants as an effective pest management tool. Conservation of Bt susceptibility in insects has become one of the most active research areas in modern agriculture. One of the key factors for a successful Bt resistance management plan is to have a cost-effective monitoring system that can provide information on. （i） the initial Bt resistance allele frequencies at low levels in field insect populations; and （ii） early shifts in Bt resistance allele frequencies so that proactive measures for managing resistance can be deployed well before field control failures. Developing such a monitoring program has been difficult because： （i） resistance traits that occur at very low frequencies are hard to detect; （ii） many factors affect the sensitivity and accuracy of a Bt resistance monitoring program; and （iii） monitoring resistance is costly. Several novel methods for detecting Bt resistance alleles developed during the last decade have made a cost-effective monitoring system possible. Future studies should focus on how to improve and standardize the methodologies for insect sampling and Bt resistance detection.