Literature DB >> 28572690

Simplification, Innateness, and the Absorption of Meaning from Context: How Novelty Arises from Gradual Network Evolution.

Adi Livnat1.   

Abstract

How does new genetic information arise? Traditional thinking holds that mutation happens by accident and then spreads in the population by either natural selection or random genetic drift. There have been at least two fundamental conceptual problems with imagining an alternative. First, it seemed that the only alternative is a mutation that responds "smartly" to the immediate environment; but in complex multicellulars, it is hard to imagine how this could be implemented. Second, if there were mechanisms of mutation that "knew" what genetic changes would be favored in a given environment, this would have only begged the question of how they acquired that particular knowledge to begin with. This paper offers an alternative that avoids these problems. It holds that mutational mechanisms act on information that is in the genome, based on considerations of simplicity, parsimony, elegance, etc. (which are different than fitness considerations). This simplification process, under the performance pressure exerted by selection, not only leads to the improvement of adaptations but also creates elements that have the capacity to serve in new contexts they were not originally selected for. Novelty, then, arises at the system level from emergent interactions between such elements. Thus, mechanistically driven mutation neither requires Lamarckian transmission nor closes the door on novelty, because the changes it implements interact with one another globally in surprising and beneficial ways. Finally, I argue, for example, that genes used together are fused together; that simplification leads to complexity; and that evolution and learning are conceptually linked.

Entities:  

Keywords:  Cooption; Evolvability; Gene fusion; Instinct; Novelty; Parsimony

Year:  2017        PMID: 28572690      PMCID: PMC5429377          DOI: 10.1007/s11692-017-9407-x

Source DB:  PubMed          Journal:  Evol Biol        ISSN: 0071-3260            Impact factor:   3.119


  116 in total

Review 1.  Evolving responsively: adaptive mutation.

Authors:  S M Rosenberg
Journal:  Nat Rev Genet       Date:  2001-07       Impact factor: 53.242

2.  August Weismann on germ-plasm variation.

Authors:  R G Winther
Journal:  J Hist Biol       Date:  2001       Impact factor: 1.326

3.  GC-content evolution in mammalian genomes: the biased gene conversion hypothesis.

Authors:  N Galtier; G Piganeau; D Mouchiroud; L Duret
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

4.  Enzymes of evolutionary change.

Authors:  M Radman
Journal:  Nature       Date:  1999-10-28       Impact factor: 49.962

5.  Waddington's canalization revisited: developmental stability and evolution.

Authors:  Mark L Siegal; Aviv Bergman
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-24       Impact factor: 11.205

Review 6.  Genome organization and reorganization in evolution: formatting for computation and function.

Authors:  James A Shapiro
Journal:  Ann N Y Acad Sci       Date:  2002-12       Impact factor: 5.691

Review 7.  Progress on canalization.

Authors:  Stephen C Stearns
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-30       Impact factor: 11.205

Review 8.  RNAs from all categories generate retrosequences that may be exapted as novel genes or regulatory elements.

Authors:  J Brosius
Journal:  Gene       Date:  1999-09-30       Impact factor: 3.688

Review 9.  SOS repair hypothesis: phenomenology of an inducible DNA repair which is accompanied by mutagenesis.

Authors:  M Radman
Journal:  Basic Life Sci       Date:  1975

10.  Regulating general mutation rates: examination of the hypermutable state model for Cairnsian adaptive mutation.

Authors:  John R Roth; Eric Kofoid; Frederick P Roth; Otto G Berg; Jon Seger; Dan I Andersson
Journal:  Genetics       Date:  2003-04       Impact factor: 4.562

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  2 in total

1.  The power of randomization by sex in multilocus genetic evolution.

Authors:  Liudmyla Vasylenko; Marcus W Feldman; Adi Livnat
Journal:  Biol Direct       Date:  2020-11-23       Impact factor: 4.540

2.  De novo mutation rates at the single-mutation resolution in a human HBB gene region associated with adaptation and genetic disease.

Authors:  Daniel Melamed; Yuval Nov; Assaf Malik; Michael B Yakass; Evgeni Bolotin; Revital Shemer; Edem K Hiadzi; Karl L Skorecki; Adi Livnat
Journal:  Genome Res       Date:  2022-01-14       Impact factor: 9.043

  2 in total

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