Evolutionary Conflict Leads to Innovation: Symmetry Breaking in a Spatial Model of RNA-Like Replicators.

Samuel H A von der Dunk, Enrico Sandro Colizzi, Paulien Hogeweg
Author Information
  1. Samuel H A von der Dunk: Theoretical Biology and Bioinformatics, Utrecht University, 3584 CH Utrecht, The Netherlands. s.h.a.vonderdunk@uu.nl. ORCID
  2. Enrico Sandro Colizzi: Theoretical Biology and Bioinformatics, Utrecht University, 3584 CH Utrecht, The Netherlands. istidina@gmail.com.
  3. Paulien Hogeweg: Theoretical Biology and Bioinformatics, Utrecht University, 3584 CH Utrecht, The Netherlands. p.hogeweg@uu.nl.

Abstract

Molecules that replicate in trans are vulnerable to evolutionary extinction because they decrease the catalysis of replication to become more available as a template for replication. This problem can be alleviated with higher-level selection that clusters molecules of the same phenotype, favouring those groups that contain more catalysis. Here, we study a simple replicator model with implicit higher-level selection through space. We ask whether the functionality of such system can be enhanced when molecules reproduce through complementary replication, representing RNA-like replicators. For high diffusion, symmetry breaking between complementary strands occurs: one strand becomes a specialised catalyst and the other a specialised template. In ensemble, such replicators can modulate their catalytic activity depending on their environment, thereby mitigating the conflict between levels of selection. In addition, these replicators are more evolvable, facilitating survival in extreme conditions (i.e., for higher diffusion rates). Our model highlights that evolution with implicit higher-level selection-i.e., as a result of local interactions and spatial patterning-is very flexible. For different diffusion rates, different solutions to the selective conflict arise. Our results support an RNA World by showing that complementary replicators may have various ways to evolve more complexity.

Keywords

References

  1. J Theor Biol. 1980 Aug 7;85(3):399-405 [PMID: 6893729]
  2. J Theor Biol. 1987 Oct 21;128(4):463-86 [PMID: 2451771]
  3. J Mol Evol. 2013 Sep;77(3):55-63 [PMID: 24078151]
  4. J Theor Biol. 2015 Sep 21;381:39-54 [PMID: 26087284]
  5. Genome Biol Evol. 2014 Jul 22;6(8):1990-2007 [PMID: 25056399]
  6. PLoS Comput Biol. 2009 Oct;5(10):e1000542 [PMID: 19834556]
  7. Nature. 1979 Aug 9;280(5722):445-6 [PMID: 460422]
  8. EMBO Rep. 2000 Jul;1(1):18-23 [PMID: 11256617]
  9. J Mol Evol. 1981;17(6):348-53 [PMID: 7288889]
  10. J Theor Biol. 1986 Nov 21;123(2):127-49 [PMID: 2442564]
  11. Proc Natl Acad Sci U S A. 1986 Jun;83(12):4360-3 [PMID: 2424025]
  12. Nature. 1995 Mar 16;374(6519):227-32 [PMID: 7885442]
  13. PLoS Comput Biol. 2016 Apr 27;12(4):e1004902 [PMID: 27120344]
  14. PLoS Comput Biol. 2014 Dec 04;10(12):e1003936 [PMID: 25474573]
  15. Biol Direct. 2008 Mar 27;3:11 [PMID: 18371199]
  16. Nature. 1980 Apr 17;284(5757):601-3 [PMID: 6245369]
  17. Nat Commun. 2017 Aug 15;8(1):250 [PMID: 28811464]
  18. Proc Biol Sci. 2016 May 11;283(1830): [PMID: 27147095]
  19. Nature. 2002 Nov 21;420(6913):340-3 [PMID: 12447445]
  20. Nature. 2001 Jan 18;409(6818):387-90 [PMID: 11201752]
  21. J Mol Biol. 1968 Dec;38(3):381-93 [PMID: 5718557]
  22. J Theor Biol. 1993 Oct 21;164(4):447-54 [PMID: 7505372]
  23. Nature. 1980 Apr 17;284(5757):604-7 [PMID: 7366731]
  24. BMC Evol Biol. 2014 Nov 25;14:234 [PMID: 25421353]
  25. J Mol Biol. 1966 Aug;19(2):548-55 [PMID: 5969078]
  26. Orig Life Evol Biosph. 2003 Oct;33(4-5):375-403 [PMID: 14604183]
  27. Orig Life. 1977 Apr;8(1):39-53 [PMID: 896191]
  28. J Mol Biol. 1968 Dec;38(3):367-79 [PMID: 4887876]
  29. PLoS Comput Biol. 2016 Nov 7;12 (11):e1005161 [PMID: 27820829]
  30. Orig Life Evol Biosph. 1985;16(2):97-116 [PMID: 2423941]
  31. Naturwissenschaften. 1971 Oct;58(10):465-523 [PMID: 4942363]

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