Delaying evolution of insect resistance to transgenic crops by decreasing dominance and heritability

The refuge strategy is used widely for delaying evolution of insect resistance to transgenic crops that produce Bacillus thuringiensis (Bt) toxins. Farmers grow refuges of host plants that do not produce Bt toxins to promote survival of susceptible pests. Many modelling studies predict that refuges will delay resistance longest if alleles conferring resistance are rare, most resistant adults mate with susceptible adults, and Bt plants have sufficiently high toxin concentration to kill heterozygous progeny from such matings. In contrast, based on their model of the cotton pest Heliothis virescens, Vacher et al. (Journal of Evolutionary Biology, 16, 2003, 378) concluded that low rather than high toxin doses would delay resistance most effectively. We demonstrate here that their conclusion arises from invalid assumptions about larval concentration-mortality responses and dominance of resistance. Incorporation of bioassay data from H. virescens and another key cotton pest (Pectinophora gossypiella) into a population genetic model shows that toxin concentrations high enough to kill all or nearly all heterozygotes should delay resistance longer than lower concentrations.     

Detection and monitoring of insect resistance to transgenic Bt crops

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.     

Predicting evolution of insect resistance to transgenic crops in within-field refuge configurations,based on larval movement

The selection pressure imposed by the widespread use of transgenic technologies can lead to the evolution of insect resistance, and the availability of refuge areas that allow susceptible homozygous insects to survive is a key factor in delaying the evolution of resistance in agricultural landscapes. Different strategies to exploit refuge areas exist, but several insect-related ecological traits may directly affect the efficiency of refuges in slowing the development of resistance. Insect larval movement is one such trait that may affect the management of resistance, depending on the refuge strategy adopted. We developed a computational model to simulate how larval movement would affect the spatio-temporal dynamics of the evolution of resistance of insect pests to Bt crops, under different refuge configurations. In order to test the model, we used population data for Spodoptera frugiperda, one of the main target pests for control with Bt toxins. Simulations were run for spatial arrangements composed of three refuge configurations (seed mixture, blocks, and strips), with sizes ranging from 20% to 50% for two types of resistance (incomplete and complete) and three rates of larval movement (proportion of larvae moving per time step), equal to 0, 0.1 and 0.5. We demonstrated that with a seed mixture, in most cases the higher the rate of larval movement, the higher the proportion of resistant insects in the population in an area, regardless of the type of resistance tested. Strip configurations showed the opposite trend. In a block configuration, the number of resistant larvae was highest at an intermediate dispersal rate (0.1). We concluded that larval movement is an important variable affecting the evolution of resistance to Bt crops, but its effect depends on the type of resistance and the configuration and size of the refuge.     

Contamination and management of resistance evolution to high-dose transgenic insecticidal crops

For maize and cotton, transgenic varieties that express toxins derived from Bacillus thuriengensis (Bt) are now planted in several countries. To slow resistance evolution, the “high-dose/refuge” strategy is broadly implemented in which resistance is recessive and some fields (or areas within fields) are planted exclusively with Bt crops and other fields planted exclusively with non-transgenic refuge crops for susceptible insects. This strategy, however, could potentially be undermined by contamination. Here, we investigate general models of resistance evolution for high-dose events in which fields are contaminated due to the inadvertent mixing of seeds, volunteer plants, or pollen flow between Bt and non-Bt varieties coupled with seed-saving by farmers. Contamination of the refuge by Bt plants increases selection for resistance, thereby speeding resistance evolution. Nonetheless, in most situations this effect is small. Contamination of Bt fields by non-transgenic plants might be expected to have the opposite effect and always reduce the rate of resistance evolution. While this is often the case, it is not always so. If larvae move among plants within a field, then high movement rates may reverse the effect of contamination of Bt fields to slow resistance evolution. Furthermore, if the dispersal rates of adult females between Bt and refuge fields are low, then contamination of Bt fields may speed resistance. These results suggest that contamination has the potential to undermine the efficacy of the high-dose/refuge strategy, yet depending upon the particular pest and situation, contamination may not be a concern.     

Evolution of resistance to transgenic crops: interactions between insect movement and field distribution

The refuge strategy is designed to delay evolution of pest resistance to transgenic crops producing Bacillus thuringiensis Berliner (Bt) toxins. Movement of insects between Bt crops and refuges of non-Bt crops is essential for the refuge strategy because it increases chances that resistant adults mate with susceptible adults from refuges. Conclusions about optimal levels of movement for delaying resistance are not consistent among previous modeling studies. To clarify the effects of movement on resistance evolution, we analyzed simulations of a spatially explicit model based partly on the interaction of pink bollworm, Pectinophora gossypiella (Saunders), with Bt cotton. We examined resistance evolution as a function of insect movement under 12 sets of assumptions about the relative abundance of Bt cotton (50 and 75%), temporal distribution of Bt cotton and refuge fields (fixed, partial rotation, and full rotation), and spatial distribution of fields (random and uniform). The results show that interactions among the relative abundance and distribution of refuges and Bt cotton fields can alter the effects of movement on resistance evolution. The results also suggest that differences in conclusions among previous studies can be explained by differences in assumptions about the relative abundance and distribution of refuges and Bt crop fields. With fixed field locations and all Bt cotton fields adjacent to at least one refuge, resistance evolved slowest with low movement. However, low movement and fixed field locations favored rapid resistance evolution when some Bt crop fields were isolated from refuges. When refuges and Bt cotton fields were rotated to the opposite crop type each year, resistance evolved fastest with low movement. Nonrecessive inheritance of resistance caused rapid resistanceevolution regardless of movement rate. Confirming previous reports, results described here show that resistance can be delayed effectively by fixing field locations and distributing refuges uniformly to ensure that Bt crop fields are not isolated from refuges. However, rotating fields provided better insect control and reduced the need for insecticide sprays.     

昆虫对Bt作物抗性监测技术

Bt棉花等转抗虫基因作物已在许多国家商业化种植 ,靶标昆虫的潜在抗性是广泛关注的重要问题。为了准确地监测昆虫的抗性动态 ,近年来在传统的基于标准生物测定确定抗性指数的基础上先后发展了诊断剂量、单对杂交、F2 代检测和分子生物学检测抗性等位基因等抗性监测方法。该文综述了相关的研究进展。     

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

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).     

转基因作物对土壤生态系统的影响

综述了转基因作物对土壤生态系统影响的研究进展,包括转基因作物中的外源基因在土壤中的活性,转基因作物对土壤微生物区系有土壤酶活性的影响以及转基因作物对土壤动物区系的影响,转基因作物对土壤生态系统的影响与导入的外源基因特性和土壤类型相关,转基因产物进入土壤后引起的土壤生物变化的程度依赖于许多因素,最重要的决定因素是生态系统的复杂性和稳定性,评价不同转基因作物对土壤生态系统的影响具有重要的生态学意义,急需发展和完善以分子生物学为主的风险评价方法。     

转Bt基因抗虫作物对非靶标害虫的影响

转基因作物的长期大面积种植, 在为农业生产带来惠益的同时, 对农业生态系统的健康和稳定可能会产生潜在的影响。转基因作物表达的Bt蛋白对靶标害虫起到较好的控制效果, 而对Bt蛋白不敏感的非靶标害虫种群可能会迅速发展起来, 对作物造成为害。随着抗虫转基因作物的连续多年种植, 科学家们对于田间杀虫剂施用量的增减看法不尽一致。通过总结已有的研究报道, 本文以Bt玉米和Bt棉花为例, 分析了大田中非靶标害虫暴发的现状, 以及暴发的主要原因(如杀虫剂的使用、害虫天敌减少和物种替代)。在生产实践中, 抗虫作物的长期大面积释放导致广谱杀虫剂施用量减少, 田间非靶标害虫数量上升。因此今后需要继续开展更多的研究来综合评估种植转Bt基因作物产生的长期潜在影响, 优化害虫防治措施, 避免非靶标害虫暴发。     

Bt水稻对田间非靶标害虫种群动态的影响

以转cry1Ab/cry1Ac基因水稻汕优63(以下简称汕优63/Bt)为材料,亲本汕优63(以下简称汕优63/CK)为对照,在田间自然感虫条件下研究汕优63/Bt对稻田几种非靶标害虫种群消长动态的影响。结果表明,汕优63/Bt上稻苞虫Pelopidas mathias(Fabricius)和稻眉眼蝶Mycalesis gotamaMoore幼虫数量都显著低于对照品种,但汕优63/Bt对稻苞虫的毒性强于稻眉眼蝶。汕优63/Bt上稻飞虱(白背飞虱Sogatellafurcifera(Horvath)和褐飞虱Nilaparvatalugens(Stal))混合种群数量通常与对照品种基本一致,在少数调查时间显著高于对照品种。相反,除少数调查时间与对照品种没有显著差异外,稻叶蝉(黑尾叶蝉Nephotettixcincticeps(Uhler)和二点黑尾叶蝉N.viriscens(Distant))混合种群数量通常显著高于对照品种。稻飞虱和叶蝉成为汕优63/Bt上的主要害虫。     

转Bt基因作物对非靶标土壤动物的影响

转Bt基因作物已经在世界范围内广泛种植.随着转基因作物的快速发展与推广,有必要深入研究其对土壤生态系统的影响.本文概述了转Bt作物对土壤动物群落以及蚯蚓、线虫、虫兆虫、螨类和甲虫等重要类群的种群动态影响的研究进展,介绍了转Bt基因作物的发展历史,分析了Bt蛋白进入土壤的途径及其在土壤环境中的残留与降解的动态,阐述了未来转Bt基因作物对非靶标土壤动物影响的生态风险分析的重要领域,旨在为研究转Bt基因作物对非靶标土壤动物影响提供参考.     

害虫抗药性的显性水平与抗性进化

对杀虫剂的代谢抗性和主要靶标抗性的显性水平作了理论解释,其中包括昆虫对Bt抗性的显性水平的解释。并对抗性显性具有的多变性作了阐述。分析抗性显性水平与抗药性进化的关系,认为在抗性进化早期抗性表现为显性的基因频率上升快于抗性表现为隐性时;但在抗性等位基因频率较高且出现抗性纯合子个体时,抗性表现为隐性的基因频率上升显著快于抗性表现为显性时。最后论述抗性显性在抗性治理中的应用。     

Recent developments and future prospects in insect pest control in transgenic crops

The adoption of insect-resistant transgenic crops has been increasing annually at double-digit rates since the commercial release of first-generation maize and cotton expressing a single modified Bacillus thuringiensis toxin (Bt) nine years ago. Studies have shown that these Bt crops can be successfully deployed in agriculture, which has led to a decrease in pesticide usage, and that they are environmentally benign. However, the sustainability and durability of pest resistance continues to be discussed. In this review, we focus on the science that underpins second- and third-generation insect-resistant transgenic plants and examine the appropriateness and relevance of models that are currently being used to determine deployment strategies to maximize sustainability and durability. We also review strategies that are being developed for novel approaches to transgenic insect pest control.     

Effects of population size and mutation rate on the evolution of mutational robustness

It is often assumed that the efficiency of selection for mutational robustness would be proportional to mutation rate and population size, thus being inefficient in small populations. However, Krakauer and Plotkin (2002) hypothesized that selection in small populations would favor robustness mechanisms, such as redundancy, that mask the effect of deleterious mutations. In large populations, by contrast, selection is more effective at removing deleterious mutants and fitness would be improved by eliminating mechanisms that mask the effect of deleterious mutations and thus impede their removal. Here, we test whether these predictions are supported in experiments with evolving populations of digital organisms. Digital organisms are self-replicating programs that inhabit a virtual world inside a computer. Like their organic counterparts, digital organisms mutate, compete, evolve, and adapt by natural selection to their environment. In this study, 160 populations evolved at different combinations of mutation rate and population size. After 10(4) generations, we measured the mutational robustness of the most abundant genotype in each population. Mutational robustness tended to increase with mutation rate and to decline with population size, although the dependence with population size was in part mediated by a negative relationship between fitness and robustness. These results are independent of whether genomes were constrained to their original length or allowed to change in size.     

Evolutionary trade-offs of insect resistance to Bacillus thuringiensis crops: fitness cost affecting paternity

Evolution of resistance to insecticides provides a useful model for examining fitness trade-offs associated with adaptation to stress. Here, we examined male reproductive costs in pink bollworm (Pectinophora gossypiella) resistant to an insecticidal protein of Bacillus thuringiensis (Bt) produced by transgenic cotton, using contrasts between two pairs of related susceptible and resistant strains. Without competition for access to females, no costs affecting reproductive success of resistant males were observed. Resistant and susceptible males had similar mating frequency and fertility. Additionally, fecundity of females mated to resistant and susceptible males was comparable. In competition for matings with virgin females, resistant and susceptible males had comparable success in one strain, whereas susceptible males tended to mate more often than resistant males in the other. However, irrespective of strain origin, resistant males that mated first sired significantly less offspring than susceptible males that mated first. The reduced first-male paternity in resistant males may involve reduced sperm precedence caused by mutations in a cadherin gene linked with resistance to Bt cotton.     

Insect resistance to transgenic Bt crops: lessons from the laboratory and field

Transgenic crops that produce insecticidal toxins from the bacterium Bacillus thuringiensis (Bt) grew on >62 million ha worldwide from 1996 to 2002. Despite expectations that pests would rapidly evolve resistance to such Bt crops, increases in the frequency of resistance caused by exposure to Bt crops in the field have not yet been documented. In laboratory and greenhouse tests, however, at least seven resistant laboratory strains of three pests (Plutella xylostella [L.], Pectinophora gossypiella [Saunders], and Helicoverpa armigera [Hübner]) have completed development on Bt crops. In contrast, several other laboratory strains with 70- to 10,100-fold resistance to Bt toxins in diet did not survive on Bt crops. Monitoring of field populations in regions with high adoption of Bt crops has not yet detected increases in resistance frequency. Resistance monitoring examples include Ostrinia nubilalis (Hübner) in the United States (6 yr), P. gossypiella in Arizona (5 yr), H. armigera in northern China (3 yr), and Helicoverpa zea (Boddie) in North Carolina (2 yr). Key factors delaying resistance to Bt crops are probably refuges of non-Bt host plants that enable survival of susceptible pests, low initial resistance allele frequencies, recessive inheritance of resistance to Bt crops, costs associated with resistance that reduce fitness of resistant individuals relative to susceptible individuals on non-Bt hosts ("fitness costs"), and disadvantages suffered by resistant strains on Bt hosts relative to their performance on non-Bt hosts ("incomplete resistance"). The relative importance of these factors varies among pest-Bt crop systems, and violations of key assumptions of the refuge strategy (low resistance allele frequency and recessive inheritance) may occur in some cases. The success of Bt crops exceeds expectations of many, but does not preclude resistance problems in the future.     

转基因作物对土壤微生物的影响

全球范围内转基因农作物的大量种植不仅带来巨大的经济利益,同时也引发了人们关于转基因作物对包含土壤微生物在内的土壤生态系统的潜在风险的忧虑.转基因作物对土壤微生物的影响包括外源基因表达蛋白对非靶标土壤微生物的直接影响,也包括因外源基因导入而植物根系分泌物组分变化引起的间接影响.目前,对转基因作物的大多数研究表明,转基因作物能引起土壤微生物种群数量和结构的变化.但是,转基因作物对土壤微生物的影响力度有大有小,持续时间有长有短,评价不一.本文综述了不同种类转基因作物对土壤微生物的影响,对转基因作物种类、试验技术和原则等影响评价结果准确性的因素进行了讨论,提出了进一步研究需要注意的问题.     

农业活动及转基因作物对农田生物多样性的影响

农田生物多样性是生态系统生物多样性的重要组成部分,但较少受到关注.近50年来,由于农业活动引起的环境污染、生境破碎和单一化种植等严重威胁着农田生物多样性.为了了解各因素对农田生物多样性的影响程度,优化农田管理措施,以提高农作物产量并降低环境影响,本文综述了种植方式、地膜覆盖、农药和化肥使用等农业活动及转基因作物对我国农田生物多样性的影响.农药和化肥的过度使用对农田生物多样性的影响最大;而转基因作物对农田生物多样性的影响受诸多因素影响,如携带的转基因性状等.需要加强转基因作物生态环境影响评价研究,特别是对农田生物多样性的潜在影响.农业生产活动应当与农田生物多样性保护密切结合,不仅有利于提高农作物产量,同时也可减少对环境的负面影响.     

Insect resistance of transgenic tobacco expressing an insect chitinase gene

Chitinase expression in the insect gut normally occurs only during moulting, where the chitin of the peritrophic membrane is presumably degraded. Thus, insects feeding on plants that constitutively express an insect chitinase gene might be adversely affected, owing to an inappropriately timed exposure to chitinase. This hypothesis was tested by introducing a cDNA encoding a tobacco hornworm (Manduca sexta) chitinase (EC 3.2.1.14) into tobacco via Agrobacterium tumefaciens-mediated transformation. A truncated but enzymatically active chitinase was present in plants expressing the gene. Segregating progeny of high-expressing plants were compared for their ability to support growth of tobacco budworm (Heliothis virescens) larvae and for feeding damage. Both parameters were significantly reduced when budworms fed on transgenic tobacco plants expressing high levels of the chitinase gene. In contrast, hornworm larvae showed no significant growth reduction when fed on the chitinase-expressing transgenics. However, both budworm and hornworm larvae, when fed on chitinase-expressing transgenic plants coated with sublethal concentrations of a Bacillus thuringiensis toxin, were significantly stunted relative to larvae fed on toxin-treated non-transgenic controls. Foliar damage was also reduced. Plants expressing an insect chitinase gene may have agronomic potential for insect control     

Sustainability of insect resistance management strategies for transgenic Bt corn

Increasing interest in the responsible management of technology in the industrial and agricultural sectors of the economy has been met thorough the development of broadly applicable tools to assess the "sustainability" of new technologies. An arena ripe for application of such analysis is the deployment of transgenic crops. The new transgenic pesticidal or plant-incorporated protectant (PIP) crops have seen widespread application in the United States based on the features of higher yield, lower applications of insecticides, and control of mycotoxin content. However, open rejection of these new crops in Europe and in other countries has been a surprising message and has limited their worldwide acceptance. The US Environmental Protection Agency's (USEPA) Office of Pesticide Programs (OPP) has worked on the development and analysis of insect resistance management (IRM) strategies and has mandated specific IRM requirements for Bacillus thuringiensis (Bt) crops since 1995 under the Food, Fungicide, Insecticide, and Rodenticide Act. Improvement of data quality and sustainability of IRM strategies have been targeted in an ongoing partnership between the USEPA Office of Research and Development and the Office of Pesticide Programs that will further enhance the agency's ability to develop sustainable insect resistance management strategies for transgenic field corn (Bt corn) producing B. thuringiensis (Bt) insecticidal proteins.