EconPapers    
Economics at your fingertips  
 

A statistical method for analysing cospeciation in tritrophic ecology using electrical circuit theory

Nooney Colleen, Barber Stuart (), Gusnanto Arief and Gilks Walter R.
Additional contact information
Gilks Walter R.: Department of Statistics, School of Mathematics, University of Leeds, Leeds LS2 9JT, UK

Statistical Applications in Genetics and Molecular Biology, 2017, vol. 16, issue 5-6, 313-331

Abstract: 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.

Keywords: cospeciation; electrical circuit; Kirchhoff matrix; tritrophic ecology; weighted permutation test (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://doi.org/10.1515/sagmb-2016-0049 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:sagmbi:v:16:y:2017:i:5-6:p:313-331:n:2

Ordering information: This journal article can be ordered from
https://www.degruyter.com/view/j/sagmb

DOI: 10.1515/sagmb-2016-0049

Access Statistics for this article

Statistical Applications in Genetics and Molecular Biology is currently edited by Michael P. H. Stumpf

More articles in Statistical Applications in Genetics and Molecular Biology from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2021-06-12
Handle: RePEc:bpj:sagmbi:v:16:y:2017:i:5-6:p:313-331:n:2