Literature DB >> 20002165

The measurement theory of fitness.

Günter P Wagner1.   

Abstract

In this article, an approach to measure fitness is proposed that considers fitness as a measure of competitive ability among phenotypes or genotypes. This approach is based on pairwise competition tests and is related to measures of "utility" in mathematical economics. Extending the results from utility theory it is possible to recover the classical Wrightian fitness measure without reference to models of population growth. A condition, quasi-BTL, similar to the Bradley-Terry-Luce condition of classical utility theory is shown to be necessary for the existence of frequency and context-independent fitness measures. Testing for violations of this quasi-BTL condition can be used to the detect genotype-by-genotype interactions and frequency-dependent fitness. A method for the detection of genotype by environment interactions is proposed that avoids potential scaling artifacts. Furthermore the measurement theoretical approach allows one to derive Wright's selection equation. This shows that classical selection equations are entirely general and exact. It is concluded that measurement theory is able to give definite answers to a number theoretical and practical questions. For instance, this theory identifies the correct scale for measuring gene interaction with respect to fitness and shows that different scales may lead to wrong conclusions.

Mesh:

Year:  2009        PMID: 20002165     DOI: 10.1111/j.1558-5646.2009.00909.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  10 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-24       Impact factor: 11.205

2.  Commentary: Do we have a consistent terminology for species diversity? The fallacy of true diversity.

Authors:  Root Gorelick
Journal:  Oecologia       Date:  2011-09-21       Impact factor: 3.225

3.  Evolution of adaptive phenotypic variation patterns by direct selection for evolvability.

Authors:  Mihaela Pavlicev; James M Cheverud; Günter P Wagner
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4.  Causes of lifetime fitness of Darwin's finches in a fluctuating environment.

Authors:  Peter R Grant; B Rosemary Grant
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-03       Impact factor: 11.205

5.  Selection methods regulate evolution of cooperation in digital evolution.

Authors:  Pawel Lichocki; Dario Floreano; Laurent Keller
Journal:  J R Soc Interface       Date:  2013-10-23       Impact factor: 4.118

6.  Hamilton's inclusive fitness maintains heritable altruism polymorphism through rb = c.

Authors:  Changcao Wang; Xin Lu
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-02       Impact factor: 11.205

7.  Fitness consequences of female multiple mating: a direct test of indirect benefits.

Authors:  Miguel Barbosa; Sean R Connolly; Mizue Hisano; Maria Dornelas; Anne E Magurran
Journal:  BMC Evol Biol       Date:  2012-09-15       Impact factor: 3.260

8.  Estimating directional epistasis.

Authors:  Arnaud Le Rouzic
Journal:  Front Genet       Date:  2014-07-14       Impact factor: 4.599

9.  Multi-component gene network design as a survival strategy in diverse environments.

Authors:  Xinyue Luo; Ruijie Song; Murat Acar
Journal:  BMC Syst Biol       Date:  2018-09-26

10.  Gene expression noise can promote the fixation of beneficial mutations in fluctuating environments.

Authors:  Michael Schmutzer; Andreas Wagner
Journal:  PLoS Comput Biol       Date:  2020-10-26       Impact factor: 4.475

  10 in total

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