An analytical contrast between fitness maximization and selection for mixability

Adi Livnat; Christos Papadimitriou; Marcus W. Feldman

doi:10.1016/j.jtbi.2010.11.039

An analytical contrast between fitness maximization and selection for mixability

Adi Livnat, Christos Papadimitriou, Marcus W. Feldman

Research output: Contribution to journal › Letter › peer-review

Abstract

It has been recently shown numerically that sex enables selection for alleles that perform well across different genetic contexts, i.e., selection for mixability. Here we capture this result analytically in a simple case. This serves a dual purpose. First, it provides a clear distinction between fitness maximization and selection for mixability. Second, it points out a limitation of the traditional analytical approach as applied to mixability.

Original language	American English
Pages (from-to)	232-234
Number of pages	3
Journal	Journal of Theoretical Biology
Volume	273
Issue number	1
DOIs	https://doi.org/10.1016/j.jtbi.2010.11.039
State	Published - 21 Mar 2011
Externally published	Yes

Keywords

Evolutionary transient
Linear dynamics
Recombination
Sex
Symmetric fitness model

All Science Journal Classification (ASJC) codes

General Immunology and Microbiology
Applied Mathematics
General Biochemistry,Genetics and Molecular Biology
General Agricultural and Biological Sciences
Statistics and Probability
Modelling and Simulation

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10.1016/j.jtbi.2010.11.039

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title = "An analytical contrast between fitness maximization and selection for mixability",

abstract = "It has been recently shown numerically that sex enables selection for alleles that perform well across different genetic contexts, i.e., selection for mixability. Here we capture this result analytically in a simple case. This serves a dual purpose. First, it provides a clear distinction between fitness maximization and selection for mixability. Second, it points out a limitation of the traditional analytical approach as applied to mixability.",

keywords = "Evolutionary transient, Linear dynamics, Recombination, Sex, Symmetric fitness model",

author = "Adi Livnat and Christos Papadimitriou and Feldman, \{Marcus W.\}",

note = "Funding Information: A.L. acknowledges financial support from the Miller Institute for Basic Research in Science. Research supported in part by NSF Grant CCF-0635319 to CP and NIH grant GM28016 to MWF.",

year = "2011",

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doi = "10.1016/j.jtbi.2010.11.039",

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AU - Livnat, Adi

AU - Papadimitriou, Christos

AU - Feldman, Marcus W.

N1 - Funding Information: A.L. acknowledges financial support from the Miller Institute for Basic Research in Science. Research supported in part by NSF Grant CCF-0635319 to CP and NIH grant GM28016 to MWF.

PY - 2011/3/21

Y1 - 2011/3/21

N2 - It has been recently shown numerically that sex enables selection for alleles that perform well across different genetic contexts, i.e., selection for mixability. Here we capture this result analytically in a simple case. This serves a dual purpose. First, it provides a clear distinction between fitness maximization and selection for mixability. Second, it points out a limitation of the traditional analytical approach as applied to mixability.

AB - It has been recently shown numerically that sex enables selection for alleles that perform well across different genetic contexts, i.e., selection for mixability. Here we capture this result analytically in a simple case. This serves a dual purpose. First, it provides a clear distinction between fitness maximization and selection for mixability. Second, it points out a limitation of the traditional analytical approach as applied to mixability.

KW - Evolutionary transient

KW - Linear dynamics

KW - Recombination

KW - Sex

KW - Symmetric fitness model

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U2 - 10.1016/j.jtbi.2010.11.039

DO - 10.1016/j.jtbi.2010.11.039

M3 - Letter

C2 - 21130776

SN - 0022-5193

VL - 273

SP - 232

EP - 234

JO - Journal of Theoretical Biology

JF - Journal of Theoretical Biology

IS - 1

ER -

An analytical contrast between fitness maximization and selection for mixability

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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