Literature DB >> 2811397

Reviving the superorganism.

D S Wilson1, E Sober.   

Abstract

Individuals become functionally organized to survive and reproduce in their environments by the process of natural selection. The question of whether larger units such as groups and communities can possess similar properties of functional organization, and therefore be regarded as "superorganisms", has a long history in biological thought. Modern evolutionary biology has rejected the concept of superorganisms, explaining virtually all adaptations at the individual or gene level. We criticize the modern literature on three counts. First, individual selection in its strong form is founded on a logical contradiction, in which genes-in-individuals are treated differently than individuals-in-groups or species-in-communities. Imposing consistency clearly shows that groups and communities can be organisms in the same sense that individuals are. Furthermore, superorganisms are more than just a theoretical possibility and actually exist in nature. Second, the view that genes are the "ultimate" unit of selection is irrelevant to the question of functional organization. Third, modern evolutionary biology includes numerous conceptual frameworks for analyzing evolution in structured populations. These frameworks should be regarded as different ways of analyzing a common process which, to be correct, must converge on the same conclusions. Unfortunately, evolutionists frequently regard them as competing theories that invoke different mechanisms, such that if one is "right" the others must be "wrong". The problem of multiple frameworks is aggravated by the fact that major terms, such as "units of selection", are defined differently within each framework, yet many evolutionists who use one framework to argue against another assume shared meanings. We suggest that focusing on the concept of organism will help dispell this fog of semantic confusion, allowing all frameworks to converge on the same conclusions regarding units of functional organization.

Mesh:

Year:  1989        PMID: 2811397     DOI: 10.1016/s0022-5193(89)80169-9

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  47 in total

1.  Relatedness and the fraternal major transitions.

Authors:  D C Queller
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-11-29       Impact factor: 6.237

2.  Ants estimate area using Buffon's needle.

Authors:  E B Mallon; N R Franks
Journal:  Proc Biol Sci       Date:  2000-04-22       Impact factor: 5.349

Review 3.  From genes to societies.

Authors:  Olav Rueppell; Gro V Amdam; Robert E Page; James R Carey
Journal:  Sci Aging Knowledge Environ       Date:  2004-02-04

4.  Sports teams as superorganisms: implications of sociobiological models of behaviour for research and practice in team sports performance analysis.

Authors:  Ricardo Duarte; Duarte Araújo; Vanda Correia; Keith Davids
Journal:  Sports Med       Date:  2012-08-01       Impact factor: 11.136

5.  Ecosystem biogeochemistry considered as a distributed metabolic network ordered by maximum entropy production.

Authors:  Joseph J Vallino
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-05-12       Impact factor: 6.237

6.  Stochastic variation: from single cells to superorganisms.

Authors:  Maria L Kilfoil; Paul Lasko; Ehab Abouheif
Journal:  HFSP J       Date:  2009-10-09

7.  Eusocial insects as superorganisms: Insights from metabolic theory.

Authors:  James F Gillooly; Chen Hou; Michael Kaspari
Journal:  Commun Integr Biol       Date:  2010-07

8.  Multilevel selection 2: Estimating the genetic parameters determining inheritance and response to selection.

Authors:  Piter Bijma; William M Muir; Esther D Ellen; Jason B Wolf; Johan A M Van Arendonk
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

9.  Beyond society: the evolution of organismality.

Authors:  David C Queller; Joan E Strassmann
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-11-12       Impact factor: 6.237

10.  Aging and demographic plasticity in response to experimental age structures in honeybees (Apis mellifera L).

Authors:  Olav Rueppell; Robyn Linford; Preston Gardner; Jennifer Coleman; Kari Fine
Journal:  Behav Ecol Sociobiol       Date:  2008-08       Impact factor: 2.980

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