Estimating Nonlinear Selection Gradients Using Quadratic Regression Coefficients: Double or Nothing?

Stinchcombe, J.R., Agrawal, A.F., Hohenlohe, P.A., Arnold, S.J. and Blows, M. W. (2008) Estimating Nonlinear Selection Gradients Using Quadratic Regression Coefficients: Double or Nothing?. Evolution, 62 9: 2435-2440. doi:10.1111/j.1558-5646.2008.00449.x


Author Stinchcombe, J.R.
Agrawal, A.F.
Hohenlohe, P.A.
Arnold, S.J.
Blows, M. W.
Title Estimating Nonlinear Selection Gradients Using Quadratic Regression Coefficients: Double or Nothing?
Journal name Evolution   Check publisher's open access policy
ISSN 0014-3820
Publication date 2008-09-01
Sub-type Article (original research)
DOI 10.1111/j.1558-5646.2008.00449.x
Volume 62
Issue 9
Start page 2435
End page 2440
Total pages 6
Place of publication United States
Publisher Wiley- Blackwell Publishing Ltd
Language eng
Subject C1
970106 Expanding Knowledge in the Biological Sciences
060303 Biological Adaptation
060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
0603 Evolutionary Biology
Abstract The use of regression analysis has been instrumental in allowing evolutionary biologists to estimate the strength and mode of natural selection. Although directional and correlational selection gradients are equal to their corresponding regression coefficients, quadratic regression coefficients must be doubled to estimate stabilizing/disruptive selection gradients. Based on a sample of 33 papers published in Evolution between 2002 and 2007, at least 78% of papers have not doubled quadratic regression coefficients, leading to an appreciable underestimate of the strength of stabilizing and disruptive selection. Proper treatment of quadratic regression coefficients is necessary for estimation of fitness surfaces and contour plots, canonical analysis of the γ matrix, and modeling the evolution of populations on an adaptive landscape.
Keyword Adaptive landscape
Canonical Analysis
Correlational Selection
Disruptive Selection
Fitness Surface
Nonlinear Selection
Stabilizing selection
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
School of Biological Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 249 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 252 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 10 Dec 2008, 02:01:48 EST by Gail Walter on behalf of School of Biological Sciences