Quantitative genetic versions of Hamilton's rule with empirical applications

被引:31
|
作者
McGlothlin, Joel W. [1 ]
Wolf, Jason B. [2 ]
Brodie, Edmund D., III [3 ]
Moore, Allen J. [4 ,5 ]
机构
[1] Virginia Tech, Dept Biol Sci, Blacksburg, VA 24061 USA
[2] Univ Bath, Dept Biol & Biochem, Bath BA2 7AY, Avon, England
[3] Univ Virginia, Dept Biol, Charlottesville, VA 22904 USA
[4] Univ Exeter, Ctr Ecol & Conservat, Penryn TR10 9EZ, England
[5] Univ Georgia, Dept Genet, Athens, GA 30602 USA
基金
英国自然环境研究理事会; 英国生物技术与生命科学研究理事会;
关键词
inclusive fitness theory; indirect genetic effects; kin selection; quantitative genetics; relatedness; social selection; KIN SELECTION; MULTILEVEL SELECTION; INTERACTING PHENOTYPES; DIRECTIONAL SELECTION; EVOLUTIONARY PROCESS; FUNDAMENTAL THEOREM; CONTEXTUAL ANALYSIS; SOCIAL SELECTION; BODY-SIZE; POPULATIONS;
D O I
10.1098/rstb.2013.0358
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Hamilton's theory of inclusive fitness revolutionized our understanding of the evolution of social interactions. Surprisingly, an incorporation of Hamilton's perspective into the quantitative genetic theory of phenotypic evolution has been slow, despite the popularity of quantitative genetics in evolutionary studies. Here, we discuss several versions of Hamilton's rule for social evolution from a quantitative genetic perspective, emphasizing its utility in empirical applications. Although evolutionary quantitative genetics offers methods to measure each of the critical parameters of Hamilton's rule, empirical work has lagged behind theory. In particular, we lack studies of selection on altruistic traits in the wild. Fitness costs and benefits of altruism can be estimated using a simple extension of phenotypic selection analysis that incorporates the traits of social interactants. We also discuss the importance of considering the genetic influence of the social environment, or indirect genetic effects (IGEs), in the context of Hamilton's rule. Research in social evolution has generated an extensive body of empirical work focusing-with good reason-almost solely on relatedness. We argue that quantifying the roles of social and non-social components of selection and IGEs, in addition to relatedness, is now timely and should provide unique additional insights into social evolution.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] A Quantitative Test of Hamilton's Rule for the Evolution of Altruism
    Waibel, Markus
    Floreano, Dario
    Keller, Laurent
    PLOS BIOLOGY, 2011, 9 (05)
  • [2] Hamilton's rule
    van Veelen, Matthijs
    Allen, Benjamin
    Hoffman, Moshe
    Simon, Burton
    Veller, Carl
    JOURNAL OF THEORETICAL BIOLOGY, 2017, 414 : 176 - 230
  • [3] Hamilton's Rule
    Gardner, Andy
    AMERICAN NATURALIST, 2015, 186 (02): : II - III
  • [4] Haldane's Rule: Genetic Bases and Their Empirical Support
    Delph, Lynda F.
    Demuth, Jeffery P.
    JOURNAL OF HEREDITY, 2016, 107 (05) : 383 - 391
  • [5] Beyond Hamilton's rule
    de Vladar, Harold P.
    Szathmary, Eors
    SCIENCE, 2017, 356 (6337) : 485 - 486
  • [6] Limits of Hamilton's rule
    Doebeli, M.
    Hauert, C.
    JOURNAL OF EVOLUTIONARY BIOLOGY, 2006, 19 (05) : 1386 - 1388
  • [7] WITHIN-GROUP AND BETWEEN-GROUP SELECTION - A QUANTITATIVE GENETIC VERSION OF HAMILTON RULE
    CHEVERUD, J
    AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 1983, 60 (02) : 181 - 182
  • [8] Quantitative versions of the Subspace Theorem and applications
    Bugeaud, Yann
    JOURNAL DE THEORIE DES NOMBRES DE BORDEAUX, 2011, 23 (01): : 35 - 57
  • [9] Hamilton's Rule and Its Discontents
    Birch, Jonathan
    BRITISH JOURNAL FOR THE PHILOSOPHY OF SCIENCE, 2014, 65 (02): : 381 - 411
  • [10] The causal meaning of Hamilton's rule
    Okasha, Samir
    Martens, Johannes
    ROYAL SOCIETY OPEN SCIENCE, 2016, 3 (03):