Limitations of inclusive fitness

被引:83
作者
Allen, Benjamin [1 ,2 ]
Nowak, Martin A. [2 ,3 ]
Wilson, Edward O. [4 ]
机构
[1] Emmanuel Coll, Dept Math, Boston, MA 02115 USA
[2] Harvard Univ, Program Evolutionary Dynam, Cambridge, MA 02138 USA
[3] Harvard Univ, Dept Math, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA
[4] Harvard Univ, Museum Comparat Zool, Cambridge, MA 02138 USA
关键词
social evolution; Hamilton's rule; cooperation; kin selection; STRUCTURED POPULATION-MODELS; KIN SELECTION; EVOLUTIONARY DYNAMICS; HAMILTONS RULE; GENETICAL EVOLUTION; ADAPTIVE DYNAMICS; COOPERATION; ALTRUISM; FORMULATION; EQUIVALENT;
D O I
10.1073/pnas.1317588110
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Until recently, inclusive fitness has been widely accepted as a general method to explain the evolution of social behavior. Affirming and expanding earlier criticism, we demonstrate that inclusive fitness is instead a limited concept, which exists only for a small subset of evolutionary processes. Inclusive fitness assumes that personal fitness is the sum of additive components caused by individual actions. This assumption does not hold for the majority of evolutionary processes or scenarios. To sidestep this limitation, inclusive fitness theorists have proposed a method using linear regression. On the basis of this method, it is claimed that inclusive fitness theory (i) predicts the direction of allele frequency changes, (ii) reveals the reasons for these changes, (iii) is as general as natural selection, and (iv) provides a universal design principle for evolution. In this paper we evaluate these claims, and show that all of them are unfounded. If the objective is to analyze whether mutations that modify social behavior are favored or opposed by natural selection, then no aspect of inclusive fitness theory is needed.
引用
收藏
页码:20135 / 20139
页数:5
相关论文
共 54 条
[1]  
Abbot P, 2011, NATURE, V471, pE1, DOI [10.1038/nature09831, 10.1038/nature09835]
[2]   Measures of success in a class of evolutionary models with fixed population size and structure [J].
Allen, Benjamin ;
Tarnita, Corina E. .
JOURNAL OF MATHEMATICAL BIOLOGY, 2014, 68 (1-2) :109-143
[3]   Adaptive Dynamics with Interaction Structure [J].
Allen, Benjamin ;
Nowak, Martin A. ;
Dieckmann, Ulf .
AMERICAN NATURALIST, 2013, 181 (06) :E139-E163
[4]  
[Anonymous], 2021, Tractatus logico-philosophicus
[5]  
[Anonymous], 2008, Evolution and the levels of selection, DOI DOI 10.1093/ACPROF:OSO/9780199267972.001.0001
[6]  
[Anonymous], 1998, EVOLUTIONARY GAMES P
[7]  
Broom M., 2013, Game-Theoretical Models in Biology
[8]   DARWINIAN SELECTION AND ALTRUISM [J].
CAVALLISFORZA, LL ;
FELDMAN, MW .
THEORETICAL POPULATION BIOLOGY, 1978, 14 (02) :268-280
[9]   Unifying evolutionary dynamics:: From individual stochastic processes to macroscopic models [J].
Champagnat, N ;
Ferrière, R ;
Méléard, S .
THEORETICAL POPULATION BIOLOGY, 2006, 69 (03) :297-321
[10]   Cooperation and Hamilton's rule in a simple synthetic microbial system [J].
Chuang, John S. ;
Rivoire, Olivier ;
Leibler, Stanislas .
MOLECULAR SYSTEMS BIOLOGY, 2010, 6