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首页> 外文期刊>Biological Journal of the Linnean Society >Host specificity and multivariate diagnostics of cryptic species in predacious cheyletid mites of the genus Cheletophyes (Acari: Cheyletidae) associated with large carpenter bees.
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Host specificity and multivariate diagnostics of cryptic species in predacious cheyletid mites of the genus Cheletophyes (Acari: Cheyletidae) associated with large carpenter bees.

机译：寄主的特异性和与大型木匠蜜蜂相关的石竹属（Chearitophyes）（Acari：Cheyletidae）的珍贵的che螨的隐性物种的多变量诊断。

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摘要

Three closely related species of mites of the genus Cheletophyes were collected from large African carpenter bees: C. venator (Vitzthum) is associated with Xylocopa nigrita; C. torridae sp. nov. and C. mbomba sp. nov. are associated with Xylocopa torrida. Ranges of 21 morphometric variables in C. venator and putative C. torridae are overlapping. However, a large gap between the two groups was detected in multivariate shape space, indicating the presence of two sibling species. The best subset canonical variates analysis (CVA) produced a model with fewer predictors and higher classification accuracy compared to other tested approaches, stepwise CVA and elimination of variables based on absolute correlation with canonical function. The model differentiates the two sibling species with 100% accuracy in jackknife resampling and external validation (N=100) using four variables. A logistic regression model built as an alternative to CVA has two variables and 97.6% and 100% classification accuracy for the analysis sample and external validation, respectively. Both models are available online at http://insects.ummz.lsa.umich.edu/beemites/morphometrics.html. Host specificity of predacious Cheletophyes to their bee hosts in the community that includes bees, cleptoparasitic mites and their predators is discussed. Formal descriptions and synonymy of the species based on the results of the analyses are also given..
机译：从大型非洲木匠蜜蜂中收集了三种化学亲缘关系较近的螨： C. torridae sp。十一月和C. mbomba sp。十一月与toryida xylocopa相关。 C. venator和推定的C. torridae中21个形态计量变量的范围重叠。但是，在多元形状空间中检测到两组之间的间隙较大，表明存在两个同级物种。与其他测试方法相比，最佳子集典型变量分析（CVA）产生的模型具有较少的预测变量和较高的分类准确度，逐步CVA以及基于与函数的绝对相关性的变量消除。该模型使用四个变量在折刀重采样和外部验证（N = 100）中以100％的精度区分了两个同级物种。替代CVA的逻辑回归模型具有两个变量，分别对分析样本和外部验证具有97.6％和100％的分类精度。两种模型都可以从http://insects.ummz.lsa.umich.edu/beemites/morphometrics.html在线获得。讨论了珍贵的石竹植物对它们在社区中的蜜蜂寄主的寄主特异性，其中包括蜜蜂，钩端螨和它们的天敌。还给出了基于分析结果的物种的形式描述和同义词。

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