Abstract
The Graded Autocatalysis Replication Domain (GARD) model describes an origin of life scenario which involves non-covalent compositional assemblies, made of monomeric mutually catalytic molecules. GARD constitutes an alternative to informational biopolymers as a mechanism of primordial inheritance. In the present work, we examined the effect of mutations, one of the most fundamental mechanisms for evolution, in the context of the networks of mutual interaction within GARD prebiotic assemblies. We performed a systematic analysis analogous to single and double gene deletions within GARD. While most deletions have only a small effect on both growth rate and molecular composition of the assemblies, ~10% of the deletions caused lethality, or sometimes showed enhanced fitness. Analysis of 14 different network properties on 2,000 different GARD networks indicated that lethality usually takes place when the deleted node has a high molecular count, or when it is a catalyst for such node. A correlation was also found between lethality and node degree centrality, similar to what is seen in real biological networks. Addressing double knockout mutations, our results demonstrate the occurrence of both synthetic lethality and extragenic suppression within GARD networks, and convey an attempt to correlate synthetic lethality to network node-pair properties. The analyses presented help establish GARD as a workable alternative prebiotic scenario, suggesting that life may have begun with large molecular networks of low fidelity, that later underwent evolutionary compaction and fidelity augmentation.
Similar content being viewed by others
References
Alm E, Arkin AP (2003) Biological networks. Curr Opin Struct Biol 13:193–202
Bachmann PA, Luisi PL, Lang J (1992) Autocatalytic self-replicating micelles as models for prebiotic structures. Nature 357:57–59
Bagley RJ, Farmer DJ (1991) Spontaneous emergence of a metabolism. In: Langton CG, Taylor C, Farmer JD, Rasmussen S (eds) Artificial life II. Addison-Wesley, Redwood City, pp 93–140
Barabasi AL, Oltvai ZN (2004) Network biology: understanding the cell’s functional organization. Nat Rev Genet 5:101–113
Barandiaran X, Ruiz-Mirazo K (2008) Modelling autonomy: simulating the essence of life and cognition. Introduction. Biosystems 91:295–304
Benko G, Flamm C, Stadler PF (2003) A graph-based toy model of chemistry. J Chem Inf Comput Sci 43:1085–1093
Boone C, Bussey H, Andrews BJ (2007) Exploring genetic interactions and networks with yeast. Nat Rev Genet 8:437–449
de Visser JA, Hermisson J, Wagner GP, Ancel Meyers L, Bagheri-Chaichian H, Blanchard JL, Chao L, Cheverud JM, Elena SF, Fontana W, Gibson G, Hansen TF, Krakauer D, Lewontin RC, Ofria C, Rice SH, von Dassow G, Wagner A, Whitlock MC (2003) Perspective: evolution and detection of genetic robustness. Evolution 57:1959–1972
DeLuna A, Vetsigian K, Shoresh N, Hegreness M, Colon-Gonzalez M, Chao S, Kishony R (2008) Exposing the fitness contribution of duplicated genes. Nat Genet 40:676–681
Dyson FJ (1982) A model for the origin of life. J Mol Evol 18:344–350
Dyson FJ (1999) Origins of life. Cambridge University Press, Cambridge, UK
Etxeberria A, Ruiz-Mirazo K (2009) The challenging biology of transients. A view from the perspective of autonomy. EMBO Rep 10(Suppl 1):S33–S36
Farmer JD, Kauffman SA, Packard NH (1986) Autocatalytic replication of polymers. Physica 22D:50–67
Fox SW (1991) Synthesis of life in the lab? Defining a protoliving system. Q Rev Biol 66:181–185
Gesteland RF, Cech TR, Atkins JF (1999) The RNA world, 2nd edn. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York
Gesteland RF, Cech TR, Atkins JF (2000) The RNA world. Cold Spring Harbor Laboratory, Cold Spring Harbor
Giaever G, Chu AM, Ni L, Connelly C, Riles L, Veronneau S, Dow S, Lucau-Danila A, Anderson K, Andre B, Arkin AP, Astromoff A, El-Bakkoury M, Bangham R, Benito R, Brachat S, Campanaro S, Curtiss M, Davis K, Deutschbauer A, Entian KD, Flaherty P, Foury F, Garfinkel DJ, Gerstein M, Gotte D, Guldener U, Hegemann JH, Hempel S, Herman Z, Jaramillo DF, Kelly DE, Kelly SL, Kotter P, LaBonte D, Lamb DC, Lan N, Liang H, Liao H, Liu L, Luo C, Lussier M, Mao R, Menard P, Ooi SL, Revuelta JL, Roberts CJ, Rose M, Ross-Macdonald P, Scherens B, Schimmack G, Shafer B, Shoemaker DD, Sookhai-Mahadeo S, Storms RK, Strathern JN, Valle G, Voet M, Volckaert G, Wang CY, Ward TR, Wilhelmy J, Winzeler EA, Yang Y, Yen G, Youngman E, Yu K, Bussey H, Boeke JD, Snyder M, Philippsen P, Davis RW, Johnston M (2002) Functional profiling of the Saccharomyces cerevisiae genome. Nature 418:387–391
Gilbert W (1986) The RNA world. Nature 319:618
Gillespie DT (2001) Approximate accelerated stochastic simulation of chemically reacting systems. J Chem Phys 115:1716–1733
Hartman JLt, Garvik B, Hartwell L (2001) Principles for the buffering of genetic variation. Science 291:1001–1004
He X, Zhang J (2006) Why do hubs tend to be essential in protein networks? PLoS Genet 2:e88
Iglehart JD, Silver DP (2009) Synthetic lethality—a new direction in cancer-drug development. N Engl J Med 361:189–191
Jain S, Krishna S (2001) A model for the emergence of cooperation, interdependence, and Structure in evolving networks. Proc Natl Acad Sci USA 98:543–547
Jain S, Krishna S (2002) Large extinctions in an evolutionary model: the role of innovation and keystone species. Proc Natl Acad Sci USA 99:2055–2060
Jeong H, Tombor B, Albert R, Oltvai ZN, Barabasi AL (2000) The large-scale organization of metabolic networks. Nature 407:651–654
Joyce GF (2002) The antiquity of RNA-based evolution. Nature 418:214–221
Kaelin WG Jr (2005) The concept of synthetic lethality in the context of anticancer therapy. Nat Rev Cancer 5:689–698
Kaneko K (2002) Kinetic origin of heredity in a replicating system with a catalytic network. J Biol Phys 28:781–792
Kaneko K (2003) Recursiveness, switching, and fluctuations in a replicating catalytic network. Phys Rev E Stat Nonlin Soft Matter Phys 68:031909
Kauffman SA (1993) The origins of order—self-organization and selection in evolution. Oxford University Press, New York
Kennedy RD, D’Andrea AD (2006) DNA repair pathways in clinical practice: lessons from pediatric cancer susceptibility syndromes. J Clin Oncol 24:3799–3808
Lancet D, Sadovsky E, Seidemann E (1993) Probability model for molecular recognition in biological receptor repertoires—significance to the olfactory system. Proc Natl Acad Sci USA 90:3715–3719
Lancet D, Kedem O, Pilpel Y (1994) Emergence of order in small autocatalytic sets maintained far from equilibrium—application of a probabilistic receptor affinity distribution (RAD) model. Berichte Der Bunsen-Gesellschaft-Phys Chem Chem Phys 98:1166–1169
Lee DH, Granja JR, Martinez JA, Severin K, Ghadiri MR (1996) A self-replicating peptide. Nature 382:525–528
Lu C, King RD (2009) An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems. Bioinformatics 25:2020–2027
Luisi PL (2004) Introduction to COST27, special issue. Orig Life Evol Biosph 34:1–2
Luisi PL, Walde P, Oberholzer T (1999) Lipid vesicles as possible intermediates in the origin of life. Curr Opin Colloid Interface Sci 4:33–39
Monk NA (2003) Unravelling nature’s networks. Biochem Soc Trans 31:1457–1461
Monnard PA, Kanavarioti A, Deamer DW (2003) Eutectic phase polymerization of activated ribonucleotide mixtures yields quasi-equimolar incorporation of purine and pyrimidine nucleobases. J Am Chem Soc 125:13734–13740
Morowitz HJ (1992) The beginnings of cellular life. Yale University Press, New Haven
Naveh B, Sipper M, Lancet D, Shenhav B (2004) Lipidia: an artificial chemistry of self-replicating assemblies of lipid-like molecules. In: Proceeding of the 9th international conference on the simulation and synthesis of living systems (ALIFE9), Boston, Massachusetts, pp 501–506
Newman MEJ (2003) The structure and function of complex networks. Siam Rev 45:167–256
Orgel LE (1998) The origin of life—a review of facts and speculations. TIBS 23:491–495
Pal C, Papp B, Hurst LD (2003) Genomic function: rate of evolution and gene dispensability. Nature 421:496–497 discussion 497–498
Platzer A, Perco P, Lukas A, Mayer B (2007) Characterization of protein-interaction networks in tumors. BMC Bioinform 8:224
Rodrigues FA, Costa Lda F (2009) Protein lethality investigated in terms of long range dynamical interactions. Mol Biosyst 5:385–390
Rosenwald S, Kafri R, Lancet D (2002) Test of a statistical model for molecular recognition in biological repertoires. J Theor Biol 216:327–336
Ruiz-Mirazo K, Mavelli F (2007) Question 7: modelling minimal ‘lipid-peptide’ cells. Orig Life Evol Biosph 37:433–437
Ruiz-Mirazo K, Mavelli F (2008) On the way towards ‘basic autonomous agents’: stochastic simulations of minimal lipid-peptide cells. Biosystems 91:374–387
Ruiz-Mirazo K, Moreno A (2004) Basic autonomy as a fundamental step in the synthesis of life. Artif Life 10:235–259
Segre D, Lancet D (2000) Composing life. EMBO Rep 1:217–222
Segre D, Lancet D, Kedem O, Pilpel Y (1998a) Graded autocatalysis replication domain (GARD): kinetic analysis of self-replication in mutually catalytic sets. Orig Life Evol Biosph 28:501–514
Segre D, Pilpel Y, Lancet D (1998b) Mutual catalysis in sets of prebiotic organic molecules: evolution through computer simulated chemical kinetics. Physica A 249:558–564
Segre D, Ben-Eli D, Lancet D (2000) Compositional genomes: prebiotic information transfer in mutually catalytic noncovalent assemblies. Proc Natl Acad Sci USA 97:4112–4117
Segre D, Ben-Eli D, Deamer DW, Lancet D (2001) The lipid world. Orig Life Evol Biosph 31:119–145
Segre D, Vitkup D, Church GM (2002) Analysis of optimality in natural and perturbed metabolic networks. Proc Natl Acad Sci USA 99:15112–15117
Shapiro R (2006) Small molecule interactions were central to the origin of life. Q Rev Biol 81:105–125
Shenhav B, Segre D, Lancet D (2003) Mesobiotic emergence: molecular and ensemble complexity in early evolution. Adv Complex Syst 6:15–35
Shenhav B, Kafri R, Lancet D (2004) Graded artificial chemistry in restricted boundaries. In: Proceedings of 9th international conference on the simulation and synthesis of living systems (ALIFE9). Boston, Massachusetts, USA
Shenhav B, Bar-Even A, Kafri R, Lancet D (2005a) Polymer GARD: computer simulation of covalent bond formation in reproducing molecular assemblies. Orig Life Evol Biosph 35:111–133
Shenhav B, Solomon A, Lancet D, Kafri R (2005b) Early systems biology and prebiotic networks. Trans Comput Syst Biol LNCS 3380:14–27
Shenhav B, Oz A, Lancet D (2007) Coevolution of compositional protocells and their environment. Philos Trans Roy Soc B 362:1813–1819
Siegal ML, Promislow DE, Bergman A (2007) Functional and evolutionary inference in gene networks: does topology matter? Genetica 129:83–103
Stadler PF (1991) Dynamics of autocatalytic reaction networks. IV: inhomogeneous replicator networks. Biosystems 26:1–19
Steinmetz LM, Scharfe C, Deutschbauer AM, Mokranjac D, Herman ZS, Jones T, Chu AM, Giaever G, Prokisch H, Oefner PJ, Davis RW (2002) Systematic screen for human disease genes in yeast. Nat Genet 31:400–404
Terry MA (1992) Writing a multiple-choice test question. J Am Osteopath Assoc 92:112–114 123
Tong AH, Lesage G, Bader GD, Ding H, Xu H, Xin X, Young J, Berriz GF, Brost RL, Chang M, Chen Y, Cheng X, Chua G, Friesen H, Goldberg DS, Haynes J, Humphries C, He G, Hussein S, Ke L, Krogan N, Li Z, Levinson JN, Lu H, Menard P, Munyana C, Parsons AB, Ryan O, Tonikian R, Roberts T, Sdicu AM, Shapiro J, Sheikh B, Suter B, Wong SL, Zhang LV, Zhu H, Burd CG, Munro S, Sander C, Rine J, Greenblatt J, Peter M, Bretscher A, Bell G, Roth FP, Brown GW, Andrews B, Bussey H, Boone C (2004) Global mapping of the yeast genetic interaction network. Science 303:808–813
Wachtershauser G (1990) Evolution of the first metabolic cycles. Proc Natl Acad Sci USA 87:200–204
You L (2004) Toward computational systems biology. Cell Biochem Biophys 40:167–184
Zotenko E, Mestre J, O’Leary DP, Przytycka TM (2008) Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentiality. PLoS Comput Biol 4:e1000140
Acknowledgments
This work is supported by the EU Specific Targeted Research Project consortium “Regulatory Control Networks Synthetic Lethality” (SYNLET, Grant 043312) and by the Crown Human Genome Center at the Weizmann Institute of Science. The authors wish to thank to Y. Pilpel, N. Barkai, and I. Tirosh for the useful discussions.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Inger, A., Solomon, A., Shenhav, B. et al. Mutations and Lethality in Simulated Prebiotic Networks. J Mol Evol 69, 568–578 (2009). https://doi.org/10.1007/s00239-009-9281-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00239-009-9281-y