Hackett Sean C, Bonsall Michael B
Department of Zoology Mathematical Ecology Research Group University of Oxford South Parks Road Oxford OX1 3PS UK.
Department of Zoology Mathematical Ecology Research Group University of Oxford South Parks Road Oxford OX1 3PS UK; St. Peter's College New Inn Hall Street Oxford OX1 2DL UK.
J Appl Ecol. 2016 Oct;53(5):1391-1401. doi: 10.1111/1365-2664.12680. Epub 2016 May 5.
The evolution of resistance to pesticides by insect pests is a significant challenge for sustainable agriculture. For transgenic crops expressing (Bt), crystalline (Cry) toxins resistance evolution may be delayed by the high-dose/refuge strategy in which a non-toxic refuge is planted to promote the survival of susceptible insects. The high-dose/refuge strategy may interact with fitness costs associated with resistance alleles to further delay resistance. However, while a diverse range of fitness costs are reported in the field, they are typically represented as a fixed reduction in survival or viability which is insensitive to ecological conditions such as competition. Furthermore, the potential dynamic consequences of restricting susceptible insects to a refuge which represents only a fraction of the available space have rarely been considered.We present a generalized discrete time model which utilizes dynamic programming methods to derive the optimal management decisions for the control of a theoretical insect pest population exposed to Bt crops. We consider three genotypes (susceptible homozygotes, resistant homozygotes and heterozygotes) and implement fitness costs of resistance to Bt toxins as either a decrease in the relative competitive ability of resistant insects or as a penalty on fecundity. Model analysis is repeated and contrasted for two types of density dependence: uniform density dependence which operates equally across the landscape and heterogeneous density dependence where the intensity of competition scales inversely with patch size and is determined separately for the refuge and Bt crop.When the planting of Bt is decided optimally, fitness costs to fecundity allow for the planting of larger areas of Bt crops than equivalent fitness costs that reduce the competitive ability of resistant insects.Heterogeneous competition only influenced model predictions when the proportional area of Bt planted in each season was decided optimally and resistance was not recessive. . The high-dose/refuge strategy alone is insufficient to preserve susceptibility to transgenic (Bt) crops in the long term when constraints upon the evolution of resistance are not insurmountable. Fitness costs may enhance the delaying effect of the refuge, but the extent to which they do so depends upon how the cost is realized biologically. Fitness costs which apply independently of other variables may be more beneficial to resistance management than costs which are only visible to selection under a limited range of ecological conditions.
害虫对杀虫剂产生抗性的进化是可持续农业面临的重大挑战。对于表达苏云金芽孢杆菌(Bt)晶体(Cry)毒素的转基因作物,高剂量/避难所策略可能会延迟抗性进化,该策略是种植无毒避难作物以促进敏感昆虫的存活。高剂量/避难所策略可能会与抗性等位基因相关的适合度代价相互作用,从而进一步延迟抗性。然而,虽然在田间报道了多种适合度代价,但它们通常表现为存活或活力的固定降低,对竞争等生态条件不敏感。此外,将敏感昆虫限制在仅占可用空间一小部分的避难所所产生的潜在动态后果很少被考虑。我们提出了一个广义离散时间模型,该模型利用动态规划方法来推导控制暴露于Bt作物的理论害虫种群的最优管理决策。我们考虑三种基因型(敏感纯合子、抗性纯合子和杂合子),并将对Bt毒素的抗性适合度代价设定为抗性昆虫相对竞争能力的降低或对繁殖力的惩罚。针对两种类型的密度依赖性重复并对比模型分析:均匀密度依赖性在整个景观中同等作用,以及异质密度依赖性,其中竞争强度与斑块大小成反比,并分别针对避难所和Bt作物确定。当Bt的种植最优决策时,繁殖力的适合度代价允许种植比降低抗性昆虫竞争能力的等效适合度代价更大面积的Bt作物。只有当每个季节种植Bt的比例面积最优决策且抗性不是隐性时,异质竞争才会影响模型预测。当抗性进化的限制并非不可克服时,仅靠高剂量/避难所策略不足以长期保持对转基因(Bt)作物的敏感性。适合度代价可能会增强避难所的延迟效应,但其增强程度取决于代价在生物学上的实现方式。独立于其他变量起作用的适合度代价可能比仅在有限生态条件范围内对选择可见的代价对抗性管理更有益。