Literature DB >> 25646408

Dynamics of gene circuits shapes evolvability.

Alba Jiménez1, James Cotterell1, Andreea Munteanu2, James Sharpe.   

Abstract

To what extent does the dynamical mechanism producing a specific biological phenotype bias the ability to evolve into novel phenotypes? We use the interpretation of a morphogen gradient into a single stripe of gene expression as a model phenotype. Although there are thousands of three-gene circuit topologies that can robustly develop a stripe of gene expression, the vast majority of these circuits use one of just six fundamentally different dynamical mechanisms. Here we explore the potential for gene circuits that use each of these six mechanisms to evolve novel phenotypes such as multiple stripes, inverted stripes, and gradients of gene expression. Through a comprehensive and systematic analysis, we find that circuits that use alternative mechanisms differ in the likelihood of reaching novel phenotypes through mutation. We characterize the phenotypic transitions and identify key ingredients of the evolutionary potential, such as sensitive interactions and phenotypic hubs. Finally, we provide an intuitive understanding on how the modular design of a particular mechanism favors the access to novel phenotypes. Our work illustrates how the dynamical mechanism by which an organism develops constrains how it can evolve. It is striking that these dynamical mechanisms and their impact on evolvability can be observed even for such an apparently simple patterning task, performed by just three-node circuits.

Keywords:  developmental constraints; dynamical mechanism; evolvability; genotype–phenotype maps; phenotypic innovation

Mesh:

Year:  2015        PMID: 25646408      PMCID: PMC4343095          DOI: 10.1073/pnas.1411065112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

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Authors:  I Salazar-Ciudad; S A Newman; R V Solé
Journal:  Evol Dev       Date:  2001 Mar-Apr       Impact factor: 1.930

Review 2.  Phenotypic neighborhood and micro-evolvability.

Authors:  Marie-Laure Dichtel-Danjoy; Marie-Anne Félix
Journal:  Trends Genet       Date:  2004-05       Impact factor: 11.639

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Journal:  Proc Biol Sci       Date:  1994-03-22       Impact factor: 5.349

Review 4.  One hundred years of positional information.

Authors:  L Wolpert
Journal:  Trends Genet       Date:  1996-09       Impact factor: 11.639

Review 5.  Evolvability.

Authors:  M Kirschner; J Gerhart
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-21       Impact factor: 11.205

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Authors:  H Li; R Helling; C Tang; N Wingreen
Journal:  Science       Date:  1996-08-02       Impact factor: 47.728

7.  Exploring phenotype space through neutral evolution.

Authors:  M A Huynen
Journal:  J Mol Evol       Date:  1996-09       Impact factor: 2.395

Review 8.  Morphogen gradients, positional information, and Xenopus: interplay of theory and experiment.

Authors:  Jeremy Green
Journal:  Dev Dyn       Date:  2002-12       Impact factor: 3.780

9.  Design principles of stripe-forming motifs: the role of positive feedback.

Authors:  Andreea Munteanu; James Cotterell; Ricard V Solé; James Sharpe
Journal:  Sci Rep       Date:  2014-05-16       Impact factor: 4.379

10.  Robustness and modular design of the Drosophila segment polarity network.

Authors:  Wenzhe Ma; Luhua Lai; Qi Ouyang; Chao Tang
Journal:  Mol Syst Biol       Date:  2006-12-12       Impact factor: 11.429

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  12 in total

1.  Systems biology: Network evolution hinges on history.

Authors:  Aaron M New; Ben Lehner
Journal:  Nature       Date:  2015-07-08       Impact factor: 49.962

Review 2.  Developmental Bias and Evolution: A Regulatory Network Perspective.

Authors:  Tobias Uller; Armin P Moczek; Richard A Watson; Paul M Brakefield; Kevin N Laland
Journal:  Genetics       Date:  2018-08       Impact factor: 4.562

3.  Adding levels of complexity enhances robustness and evolvability in a multilevel genotype-phenotype map.

Authors:  Pablo Catalán; Andreas Wagner; Susanna Manrubia; José A Cuesta
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

4.  Populations of genetic circuits are unable to find the fittest solution in a multilevel genotype-phenotype map.

Authors:  Pablo Catalán; Susanna Manrubia; José A Cuesta
Journal:  J R Soc Interface       Date:  2020-06-03       Impact factor: 4.118

5.  Epigenetics, Darwin, and Lamarck.

Authors:  David Penny
Journal:  Genome Biol Evol       Date:  2015-05-29       Impact factor: 3.416

6.  A Network Model to Explore the Effect of the Micro-environment on Endothelial Cell Behavior during Angiogenesis.

Authors:  Nathan Weinstein; Luis Mendoza; Isidoro Gitler; Jaime Klapp
Journal:  Front Physiol       Date:  2017-11-27       Impact factor: 4.566

7.  Endocytosis as a stabilizing mechanism for tissue homeostasis.

Authors:  Miri Adler; Avi Mayo; Xu Zhou; Ruth A Franklin; Jeremy B Jacox; Ruslan Medzhitov; Uri Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-02       Impact factor: 11.205

8.  A spectrum of modularity in multi-functional gene circuits.

Authors:  Alba Jiménez; James Cotterell; Andreea Munteanu; James Sharpe
Journal:  Mol Syst Biol       Date:  2017-04-27       Impact factor: 11.429

9.  Gap Gene Regulatory Dynamics Evolve along a Genotype Network.

Authors:  Anton Crombach; Karl R Wotton; Eva Jiménez-Guri; Johannes Jaeger
Journal:  Mol Biol Evol       Date:  2016-01-21       Impact factor: 16.240

10.  Synthetic circuits reveal how mechanisms of gene regulatory networks constrain evolution.

Authors:  Yolanda Schaerli; Alba Jiménez; José M Duarte; Ljiljana Mihajlovic; Julien Renggli; Mark Isalan; James Sharpe; Andreas Wagner
Journal:  Mol Syst Biol       Date:  2018-09-10       Impact factor: 11.429

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