Literature DB >> 27431528

The major synthetic evolutionary transitions.

Ricard Solé1.   

Abstract

Evolution is marked by well-defined events involving profound innovations that are known as 'major evolutionary transitions'. They involve the integration of autonomous elements into a new, higher-level organization whereby the former isolated units interact in novel ways, losing their original autonomy. All major transitions, which include the origin of life, cells, multicellular systems, societies or language (among other examples), took place millions of years ago. Are these transitions unique, rare events? Have they instead universal traits that make them almost inevitable when the right pieces are in place? Are there general laws of evolutionary innovation? In order to approach this problem under a novel perspective, we argue that a parallel class of evolutionary transitions can be explored involving the use of artificial evolutionary experiments where alternative paths to innovation can be explored. These 'synthetic' transitions include, for example, the artificial evolution of multicellular systems or the emergence of language in evolved communicating robots. These alternative scenarios could help us to understand the underlying laws that predate the rise of major innovations and the possibility for general laws of evolved complexity. Several key examples and theoretical approaches are summarized and future challenges are outlined.This article is part of the themed issue 'The major synthetic evolutionary transitions'.
© 2016 The Author(s).

Keywords:  artificial life; evolutionary robotics; major transitions; phase transitions; synthetic biology

Mesh:

Year:  2016        PMID: 27431528      PMCID: PMC4958944          DOI: 10.1098/rstb.2016.0175

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  55 in total

1.  Distributed biological computation with multicellular engineered networks.

Authors:  Sergi Regot; Javier Macia; Núria Conde; Kentaro Furukawa; Jimmy Kjellén; Tom Peeters; Stefan Hohmann; Eulàlia de Nadal; Francesc Posas; Ricard Solé
Journal:  Nature       Date:  2010-12-08       Impact factor: 49.962

2.  Neutral fitness landscapes in signalling networks.

Authors:  Pau Fernández; Ricard V Solé
Journal:  J R Soc Interface       Date:  2007-02-22       Impact factor: 4.118

Review 3.  Synthetic protocell biology: from reproduction to computation.

Authors:  Ricard V Solé; Andreea Munteanu; Carlos Rodriguez-Caso; Javier Macía
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-10-29       Impact factor: 6.237

4.  Emergence of multicellularity in a model of cell growth, death and aggregation under size-dependent selection.

Authors:  Salva Duran-Nebreda; Ricard Solé
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

5.  The rise of machine consciousness: studying consciousness with computational models.

Authors:  James A Reggia
Journal:  Neural Netw       Date:  2013-03-26

6.  Some mechanistic requirements for major transitions.

Authors:  Peter Schuster
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-08-19       Impact factor: 6.237

Review 7.  Generating minimal living systems from non-living materials and increasing their evolutionary abilities.

Authors:  Steen Rasmussen; Adi Constantinescu; Carsten Svaneborg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-08-19       Impact factor: 6.237

8.  Hypercycles and the origin of life.

Authors:  J M Smith
Journal:  Nature       Date:  1979-08-09       Impact factor: 49.962

9.  The hypercycle. A principle of natural self-organization. Part A: Emergence of the hypercycle.

Authors:  M Eigen; P Schuster
Journal:  Naturwissenschaften       Date:  1977-11

10.  Synthetic collective intelligence.

Authors:  Ricard Solé; Daniel R Amor; Salva Duran-Nebreda; Núria Conde-Pueyo; Max Carbonell-Ballestero; Raúl Montañez
Journal:  Biosystems       Date:  2016-02-08       Impact factor: 1.973

View more
  1 in total

Review 1.  Behaviorist approaches to investigating memory and learning: A primer for synthetic biology and bioengineering.

Authors:  Charles I Abramson; Michael Levin
Journal:  Commun Integr Biol       Date:  2021-12-14
  1 in total

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