2002
DOI: 10.1111/j.0014-3820.2002.tb01357.x
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A Complexity Drain on Cells in the Evolution of Multicellularity

Abstract: Abstract. A hypothesis has been advanced recently predicting that, in evolution, as higher-level entities arise from associations of lower-level organisms, and as these entities acquire the ability to feed, reproduce, defend themselves, and so on, the lower-level organisms will tend to lose much of their internal complexity (McShea 2001a). In other words, in hierarchical transitions, there is a drain on numbers of part types at the lower level. One possible rationale is that the transfer of functional demands … Show more

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Cited by 51 publications
(40 citation statements)
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References 85 publications
(129 reference statements)
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“…Blue dots have been added following phalloidin stainings that specifically label the actin filaments of microvilli making up the rhabdomeres. Photograph courtesy of G. Jékely. developed previously and has been referred to as 'complexity drain on cells in the evolution of multicellularity' (McShea 2002).…”
Section: Introductionmentioning
confidence: 99%
“…Blue dots have been added following phalloidin stainings that specifically label the actin filaments of microvilli making up the rhabdomeres. Photograph courtesy of G. Jékely. developed previously and has been referred to as 'complexity drain on cells in the evolution of multicellularity' (McShea 2002).…”
Section: Introductionmentioning
confidence: 99%
“…This perspective reemphasizes a point made earlier by McShea (2002) and others: the evolutionary transition from unicells to complex multicellular organisms has several steps --it is a corridor, not a door. The entrance is marked by genetically mediated, geometrically regular multicellular colonies that derive some fitness benefit from their geometry but pay little penalty for ontogenetic mistakes.…”
Section: Discussionmentioning
confidence: 72%
“…Some researchers have taken precisely this route. Daniel McShea [23,25,24] attempts to determine a number of different indicators of complexity instead of postulating just one way to measure it. He measures aspects such as the number of functional parts of a system, the nestedness of a system, the level of interaction between various hierarchical levels, and so on.…”
Section: Resultsmentioning
confidence: 99%
“…In the light of this, the article will end with a perhaps unsatisfactory (to some) recommendation: In the absence of a consensus on complexity, the most efficient way forward is to retain complexity as an informal, intuitive concept, while abandoning (at least for the time being) attempts to condense the contradicting ansatzes to a least common denominator. In the context of studying the evolution of complexity this strategy is already, at least partially, followed (see for example [23,24,29]). By giving up the ambition to find a universally accepted concept of complexity now, research efforts can be diverted into empirical studies of the evolution of ''complexity-related'' properties of systems, possibly leading to an emerging understanding of complexity in the future.…”
Section: Introductionmentioning
confidence: 99%