Data for: A diverse parasite pool can improve effectiveness of biological control constrained by genotype-by-genotype interactions

The outcomes of biological control programs can be highly variable, with natural enemies often failing to establish or spread in pest populations. This variability has posed a major obstacle in use of the bacterial parasite Pasteuria penetrans for biological control of Meloidogyne species, economically devastating plant-parasitic nematodes for which there are limited management options. A leading hypothesis for this variability in control is that infection is successful only for specific combinations of bacterial and nematode genotypes. Under this hypothesis, failure of biological control results from the use of P. penetrans genotypes that cannot infect local Meloidogyne genotypes. We tested this hypothesis using isofemale lines of M. arenaria derived from a single field population and multiple sources of P. penetrans from the same and nearby fields. In strong support of the hypothesis, susceptibility to infection depended on the specific combination of host line and parasite source, w..., Methods to collect the Data Experiment 1: evaluating the significance of GxG interactions The objective of this first experiment was to determine if attachment varies with the interaction of host line and parasite source. To do so, we measured attachment rate and load of J2s of four of our P. penetrans sources to our 13 M. arenaria isofemale lines. Attachment rate is the percentage of nematodes with one or more endospores attached. This measurement captures variation between host-parasite combinations in the percentage of hosts susceptible to infection. To measure attachment rate, we counted the number of nematodes with and without endospores for an average of 17.45 ± 0.70 (standard error) nematodes per flask. A second measurement, attachment load, is the number of endospores attached per nematode. Attachment load is estimated only for hosts with one or more endospores attached. Thus, attachment load can capture variation between host-parasite combinations in the number of parasites tha..., The data files are saved in CSV. We used Excel to build the data set and R to analyse the data.Â生物防治项目的防治效果往往存在高度变异性，天敌常常无法在害虫种群中定殖或扩散。这种变异性极大阻碍了利用穿刺巴斯德芽菌（Pasteuria penetrans）防治根结线虫属（Meloidogyne）物种的生物防治实践——这类具有严重经济危害的植物寄生线虫（plant-parasitic nematodes）现有防治手段十分有限。针对该防治效果变异性的主流假说认为，仅当细菌与线虫的特定基因型（genotype）组合时，感染才能成功。根据这一假说，生物防治失败的原因在于使用了无法侵染当地根结线虫基因型的穿刺巴斯德芽菌基因型。我们采用源自单一田间种群的花生根结线虫（Meloidogyne arenaria）单雌系（isofemale line），以及来自同一块及邻近田块的多株穿刺巴斯德芽菌菌株，对该假说进行了验证。结果强烈支持该假说：线虫对侵染的易感性取决于寄主品系与寄生虫来源的特定组合，w..., 数据收集方法如下： 实验1：评估G×G互作（GxG interactions）的显著性 本实验的目的是明确线虫附着情况是否随寄主品系与寄生虫来源的互作而变化。为此，我们测定了4株穿刺巴斯德芽菌来源对13株花生根结线虫单雌系的二期幼虫（J2s）的附着率（attachment rate）与附着负载（attachment load）。附着率指带有1个或多个内生孢子（endospores）附着的线虫占比，该指标可反映寄主-寄生虫组合间在易感侵染的寄主比例上的差异。为测定附着率，我们统计了每个培养瓶中带有与不带有内生孢子的线虫数量，每个培养瓶平均计数17.45±0.70（标准误（standard error））头线虫。第二项指标附着负载指每头线虫所附着的内生孢子数量，该指标仅针对带有至少1个内生孢子的寄主进行统计，因此可反映寄主-寄生虫组合间在寄生虫数量上的差异，tha..., 数据文件以CSV格式存储。我们使用Excel构建数据集，并用R语言进行数据分析。