Function-valued traits in evolution
نویسندگان
چکیده
منابع مشابه
Function-valued traits in evolution
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 regress...
متن کاملThe evolution of function-valued traits for conditional cooperation.
In this paper we study the evolution of function-valued traits for cooperation in environments that display varying degrees of population viscosity. Traits measure an individual's intrinsic propensity to cooperate in a standard bilateral Prisoner's dilemma and can be increasing, decreasing or constant functions of the probability to interact with individuals of ones own genotype. We first analy...
متن کاملPhylogenetic inference for function-valued traits: speech sound evolution.
Phylogenetic models have recently been proposed for data that are best represented as a mathematical function (i.e. function valued). Such methods can be used to model the change over time in function-based descriptions of various data of interest to evolutionary biologists, including the sound of speech. This approach to phylogenetic inference and analysis is challenging, both in terms of mode...
متن کاملPhylogenetic inference for function - valued traits : speech sound 1 evolution
Phylogenetic models have recently been proposed for data that are best 17 represented as a mathematical function (function-valued). Such methods can used 18 to model the change over time in function-based descriptions of various data of 19 interest to evolutionary biologists, including the sound of speech. This approach to 20 phylogenetic inference and analysis is challenging, both in terms of ...
متن کاملOptimizing selection for function-valued traits.
We consider a function-valued trait z(t) whose pre-selection distribution is Gaussian, and a fitness function W that models optimizing selection, subject to certain natural assumptions. We show that the post-selection distribution of z(t) is also Gaussian, compute the selection differential, and derive an equation that expresses the selection gradient in terms of the parameters of W and of the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of The Royal Society Interface
سال: 2013
ISSN: 1742-5689,1742-5662
DOI: 10.1098/rsif.2012.1032