Function-valued traits in evolution
File(s)
Published version
Author(s)
Jones, NS
Hadjipantelis, PZ
Moriarty, J
Springate, DA
Knight, CG
Type
Journal Article
Abstract
Many biological characteristics of evolutionary interest are not scalar variables but continuous functions. Given a dataset of function-valued traits generated by evolution, we develop a practical, statistical approach to infer ancestral function-valued traits, and estimate the generative evolutionary process. We do this by combining dimension reduction and phylogenetic Gaussian process regression, a non-parametric procedure that explicitly accounts for known phylogenetic relationships. We test the performance of methods on simulated, function-valued data generated from a stochastic evolutionary model. The methods are applied assuming that only the phylogeny, and the function-valued traits of taxa at its tips are known. Our method is robust and applicable to a wide range of function-valued data, and also offers a phylogenetically aware method for estimating the autocorrelation of function-valued traits.
Date Issued
2013-02-20
Date Acceptance
2013-01-28
Citation
Interface, 2013, 10 (82), pp.1-8
ISSN
1742-5662
Publisher
The Royal Society
Start Page
1
End Page
8
Journal / Book Title
Interface
Volume
10
Issue
82
Copyright Statement
© 2013 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.
License URL
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
MULTIDISCIPLINARY SCIENCES
comparative analysis
Ornstein-Uhlenbeck process
non-parametric Bayesian inference
functional phylogenetics
ancestral reconstruction
functional Gaussian process regression
INDEPENDENT COMPONENT ANALYSIS
STABILIZING SELECTION
ADAPTIVE EVOLUTION
PHYLOGENIES
ADAPTATION
ENVIRONMENT
CHARACTERS
PATTERNS
MODEL
Animals
Evolution, Molecular
Humans
Models, Genetic
Normal Distribution
Phylogeny
Quantitative Trait Loci
Stochastic Processes
MD Multidisciplinary
General Science & Technology
Publication Status
Published