用电路理论分析三养生态共生的统计方法。

Pub Date : 2017-11-27 DOI:10.1515/sagmb-2016-0049
Colleen Nooney, Stuart Barber, Arief Gusnanto, Walter R Gilks
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引用次数: 2

摘要

我们介绍了一种新的方法来有效地测试在营养系统的共共生。我们的方法利用与电路理论的类比,将高阶系统简化为保留原始系统信息的双营养数据集。我们使用了一个复杂的排列方案,根据它们与系统中第三层的连接来加权两个营养层之间的相互作用。与Mramba等人的方法相比,我们的方法有几个优势。[Mramba, L. K., S. Barber, K. Hommola, L. A. Dyer, J. S. Wilson, M. L. Forister和W. R. Gilks(2013):“分析多种系统发育中共同形态的排列测试:在三营养生态学中的应用,”Stat. Appl.。麝猫。摩尔。杂志。[j].中国农业科学,2012,33(2):679-701。我们不需要三角相互作用来连接三个系统发育树,并且一步即可获得易于解释的p值。我们的方法的另一个优点是推广到高阶系统和系统发育网络的范围。我们的方法与Hommola等人的方法进行了比较。[Hommola, K., J. E. Smith, Y. Qiu和W. R. Gilks(2009):“宿主-寄生虫共种的排列测试”,《Mol. Biol》。另一个星球。, 26, 1457-1468。[Mramba, L. K, S. Barber, K. Hommola, L. A. Dyer, J. S. Wilson, M. L. Forister和W. R. Gilks(2013):“分析多种系统发育中共同形态的排列测试:在三营养生态学中的应用”,Stat. applied。麝猫。摩尔。杂志。, 12, 679-701。]分别在两养和三养水平。这是通过评估I型误差和统计功率来实现的。结果表明,我们的方法产生无偏p值,并且在两个营养水平上都具有相当的总体能力。我们的方法成功地应用于采叶蛾、寄生蜂和寄主植物的数据集[Lopez-Vaamonde, C., H. Godfray, S. West, C. Hansson和J. Cook(2005):“achrysocharoides寄生蜂的寄主使用和不寻常繁殖策略的进化,”J. evolution。医学杂志。, 18, 1029-1041。],两营养型和三营养型都有。
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A statistical method for analysing cospeciation in tritrophic ecology using electrical circuit theory.

We introduce a new method to test efficiently for cospeciation in tritrophic systems. Our method utilises an analogy with electrical circuit theory to reduce higher order systems into bitrophic data sets that retain the information of the original system. We use a sophisticated permutation scheme that weights interactions between two trophic layers based on their connection to the third layer in the system. Our method has several advantages compared to the method of Mramba et al. [Mramba, L. K., S. Barber, K. Hommola, L. A. Dyer, J. S. Wilson, M. L. Forister and W. R. Gilks (2013): "Permutation tests for analyzing cospeciation in multiple phylogenies: applications in tri-trophic ecology," Stat. Appl. Genet. Mol. Biol., 12, 679-701.]. We do not require triangular interactions to connect the three phylogenetic trees and an easily interpreted p-value is obtained in one step. Another advantage of our method is the scope for generalisation to higher order systems and phylogenetic networks. The performance of our method is compared to the methods of Hommola et al. [Hommola, K., J. E. Smith, Y. Qiu and W. R. Gilks (2009): "A permutation test of host-parasite cospeciation," Mol. Biol. Evol., 26, 1457-1468.] and Mramba et al. [Mramba, L. K., S. Barber, K. Hommola, L. A. Dyer, J. S. Wilson, M. L. Forister and W. R. Gilks (2013): "Permutation tests for analyzing cospeciation in multiple phylogenies: applications in tri-trophic ecology," Stat. Appl. Genet. Mol. Biol., 12, 679-701.] at the bitrophic and tritrophic level, respectively. This was achieved by evaluating type I error and statistical power. The results show that our method produces unbiased p-values and has comparable power overall at both trophic levels. Our method was successfully applied to a dataset of leaf-mining moths, parasitoid wasps and host plants [Lopez-Vaamonde, C., H. Godfray, S. West, C. Hansson and J. Cook (2005): "The evolution of host use and unusual reproductive strategies in achrysocharoides parasitoid wasps," J. Evol. Biol., 18, 1029-1041.], at both the bitrophic and tritrophic levels.

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