Sijbren Otto1. 1. Centre for Systems Chemistry, Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands.
Abstract
As the remit of chemistry expands beyond molecules to systems, new synthetic targets appear on the horizon. Among these, life represents perhaps the ultimate synthetic challenge. Building on an increasingly detailed understanding of the inner workings of living systems and advances in organic synthesis and supramolecular chemistry, the de novo synthesis of life (i.e., the construction of a new form of life based on completely synthetic components) is coming within reach. This Account presents our first steps in the journey toward this long-term goal. The synthesis of life requires the functional integration of different subsystems that harbor the different characteristics that are deemed essential to life. The most important of these are self-replication, metabolism, and compartmentalization. Integrating these features into a single system, maintaining this system out of equilibrium, and allowing it to undergo Darwinian evolution should ideally result in the emergence of life. Our journey toward de novo life started with the serendipitous discovery of a new mechanism of self-replication. We found that self-assembly in a mixture of interconverting oligomers is a general way of achieving self-replication, where the assembly process drives the synthesis of the very molecules that assemble. Mechanically induced breakage of the growing replicating assemblies resulted in their exponential growth, which is an important enabler for achieving Darwinian evolution. Through this mechanism, the self-replication of compounds containing peptides, nucleobases, and fully synthetic molecules was achieved. Several examples of evolutionary dynamics have been observed in these systems, including the spontaneous diversification of replicators allowing them to specialize on different food sets, history dependence of replicator composition, and the spontaneous emergence of parasitic behavior. Peptide-based replicator assemblies were found to organize their peptide units in space in a manner that, inadvertently, gives rise to microenvironments that are capable of catalysis of chemical reactions or binding-induced activation of cofactors. Among the reactions that can be catalyzed by the replicators are ones that produce the precursors from which these replicators grow, amounting to the first examples of the assimilation of a proto-metabolism. Operating these replicators in a chemically fueled out-of-equilibrium replication-destruction regime was found to promote an increase in their molecular complexity. Fueling counteracts the inherent tendency of replicators to evolve toward lower complexity (caused by the fact that smaller replicators tend to replicate faster). Among the remaining steps on the road to de novo life are now to assimilate compartmentalization and achieve open-ended evolution of the resulting system. Success in the synthesis of de novo life, once obtained, will have far-reaching implications for our understanding of what life is, for the search for extraterrestrial life, for how life may have originated on earth, and for every-day life by opening up new vistas in the form living technology and materials.
As the remit of chemistry expands beyond molecules to systems, new synthetic targets appear on the horizon. Among these, life represents perhaps the ultimate synthetic challenge. Building on an increasingly detailed understanding of the inner workings of living systems and advances in organic synthesis and supramolecular chemistry, the de novo synthesis of life (i.e., the construction of a new form of life based on completely synthetic components) is coming within reach. This Account presents our first steps in the journey toward this long-term goal. The synthesis of life requires the functional integration of different subsystems that harbor the different characteristics that are deemed essential to life. The most important of these are self-replication, metabolism, and compartmentalization. Integrating these features into a single system, maintaining this system out of equilibrium, and allowing it to undergo Darwinian evolution should ideally result in the emergence of life. Our journey toward de novo life started with the serendipitous discovery of a new mechanism of self-replication. We found that self-assembly in a mixture of interconverting oligomers is a general way of achieving self-replication, where the assembly process drives the synthesis of the very molecules that assemble. Mechanically induced breakage of the growing replicating assemblies resulted in their exponential growth, which is an important enabler for achieving Darwinian evolution. Through this mechanism, the self-replication of compounds containing peptides, nucleobases, and fully synthetic molecules was achieved. Several examples of evolutionary dynamics have been observed in these systems, including the spontaneous diversification of replicators allowing them to specialize on different food sets, history dependence of replicator composition, and the spontaneous emergence of parasitic behavior. Peptide-based replicator assemblies were found to organize their peptide units in space in a manner that, inadvertently, gives rise to microenvironments that are capable of catalysis of chemical reactions or binding-induced activation of cofactors. Among the reactions that can be catalyzed by the replicators are ones that produce the precursors from which these replicators grow, amounting to the first examples of the assimilation of a proto-metabolism. Operating these replicators in a chemically fueled out-of-equilibrium replication-destruction regime was found to promote an increase in their molecular complexity. Fueling counteracts the inherent tendency of replicators to evolve toward lower complexity (caused by the fact that smaller replicators tend to replicate faster). Among the remaining steps on the road to de novo life are now to assimilate compartmentalization and achieve open-ended evolution of the resulting system. Success in the synthesis of de novo life, once obtained, will have far-reaching implications for our understanding of what life is, for the search for extraterrestrial life, for how life may have originated on earth, and for every-day life by opening up new vistas in the form living technology and materials.
.[1]This work introduces a new mechanism for self-replication
based on self-assembly of specific oligomers in a dynamic mixture
in which these can interconvert. It shows how the mode of agitation
(shaking or stirring) can control the nature of the self-replicator
that emerges in a system where two replicators compete for the same
building block..[2]Detailed study of the mechanism of self-replication, showing that
a growth-breakage mechanism enables exponential self-replication.
Exponential growth is an important enabler for Darwinian evolution.
This mechanism breaks with the square-root law of autocatalysis that
explains why most replicators developed until now grow parabolically..[3]Shows how peptide assembly that drives self-replication
can be co-opted to catalyze different types of chemical reactions,
including one in which the replicator accelerates the production of
the precursors from which it grows. This work is one of the first
examples of the integration of replication with metabolism..[4]Two
competing self-replicators were placed in a chemically fueled out-of-equilibrium
replication-destruction regime. While under equilibrium conditions,
the faster and more stable small replicator prevails, chemical fueling
allows the slower, molecularly more complex replicator to win the
competition. This work demonstrates a concept that is important in
the context of evolution: that fueling can drive replicator complexification.
Introduction
Chemistry focuses on
creating new entities (molecules, materials,
systems), more so than perhaps any other science. Over the centuries,
chemists have learned how to synthesize molecules of impressive complexity.
With the advent of Systems Chemistry,[5−8] the remit of chemistry has expanded to also
include the design and synthesis of systems of molecules,
that harbor systems-level properties that go well beyond the sum of
their parts (i.e., emergent properties). Among the most intriguing
and challenging of such properties is life. Life represents a huge
synthetic challenge,[9−11] deemed intractable for many years. Yet with recent
developments in synthetic methodology, supramolecular chemistry, and
analytical tools and an improved understanding of biochemistry and
evolution, opportunities are opening up to create new forms of life,
that are not necessarily constituted of the types of biomolecules
that are found in extant life (i.e., proteins, nucleic acids etc.).
Approaches to de novo life differ from efforts to create synthetic
cells[12,13] by aiming to build life from scratch, utilizing
man-made building blocks rather than molecules obtained from current
life. Efforts directed toward the synthesis of life will also inform
on the possible origins of life on Earth.[14−20] Even though the development of de novo life is not necessarily guided
or constrained by issues of prebiotic relevance and geochemical considerations,
the general principles and concepts discovered in the process may
well extend to current life’s origin.Addressing the
challenge of the de novo synthesis of life starts
with defining the target. While a generally accepted definition of
life does not exist,[21,22] a pragmatic approach to defining
this target is to list the key (functional) characteristics that any
form of life should encompass.[11] These
characteristics are summarized in Figure and include:
Figure 1
Emergence of life requires
the integration of functional subsystems
that are responsible for self-replication, compartmentalization, and
metabolism under conditions that keep the system far from equilibrium
and enable its open-ended Darwinian evolution. Adapted with permission
from ref (11). Copyright
2020, Springer Nature.
Emergence of life requires
the integration of functional subsystems
that are responsible for self-replication, compartmentalization, and
metabolism under conditions that keep the system far from equilibrium
and enable its open-ended Darwinian evolution. Adapted with permission
from ref (11). Copyright
2020, Springer Nature.(i) Self-replication,
which is the ability of a system to autonomously
catalyze the formation of copies of itself;(ii) Metabolism,
which is the ability of a system to form its constituents
from precursors and connect the internal maintenance of the system
to an external energy source;(iii) Compartmentalization, which
is the means by which a systems
prevents the uncontrolled spreading of its components into its environment.(iv) Out-of-equilibrium state; life requires a continuous input
of energy to keep it from collapsing into a lifeless thermodynamic
minimum.(v) Darwinian evolution: the process of natural selection
among
mutants produced when replication is accompanied by variability (i.e.,
mutation).These characteristics are in part overlapping; i.e.,
practical
implementation of Darwinian evolution requires a reproduction/destruction
regime, which is inherently out of equilibrium and the energy harvesting
part of metabolism also contributes to maintaining systems out of
equilibrium.With this list of characteristics, a stepwise approach
to the synthesis
of a minimal form of life presents itself. As a first step, a system
may be developed that implements only one of these characteristics
and additional features may then be integrated in a stepwise manner.Considerable progress has been made on the development of systems
that capture one of the first four of the five characteristics listed
above: Self-replicating molecules have been made based on many different
molecular designs;[23−26] reaction networks have been identified that enable chemical complexity
to be built up;[27] many different forms
of compartmentalization have been investigated,[28,29] including bilayer vesicles,[30,31] microdroplets,[32] coacervates,[33−35] and even absorption
on surfaces.[36,37] Finally, out-of-equilibrium chemical
systems are attracting renewed attention, particularly in the area
of self-assembly.[38−43] Only the implementation of Darwinian evolution in chemical systems
outside the realm of biology/biomolecules has not yet received much
attention.[44] The current frontier in the
de novo synthesis of life encompasses the binary integration of different
subsystems; the first reports combining replication (mostly enzyme-mediated)
with compartmentalization[45−47] or replication with metabolism[3,48,49] have appeared. Furthermore, methodology
has been developed to maintain compartments[50−54] and replicators[4,55−58] out-of-equilibrium.While the stepwise integration of subsystems
is a worthwhile and
logical approach, we should not dismiss the possibility that systems
that integrate several of life’s characteristics can emerge
in a single event. Indeed, as we will show below, protometabolic capabilities
can arise in systems that were primarily selected for their ability
to self-replicate, in a single joined emergence step.In this
Account, I review the progress that my research group made
toward the de novo synthesis of life, starting from the serendipitous
discovery of self-replicating molecules and then showing how these
systems can exhibit dynamics that are relevant to evolutionary scenarios.
I will discuss how the replicating systems can acquire metabolic activity
and how imposing an out-of-equilibrium replication/destruction regime
can, in principle, enable their molecular complexification. The Account
closes with an inventory of the steps that still need to be made on
the path to de novo life and a brief discussion of the implication
of reaching the end of this path.
Self-Replication
Our approach to the de novo synthesis of life started with the
serendipitous discovery of self-replicating molecules.[1] So the first step in our approach involved acting on an
opportunity that arose, as opposed to being a rational choice. At
the time, we worked on dynamic combinatorial libraries[59] and had designed building blocks that we hoped
would form folded molecules. The idea was that noncovalent interactions
between building blocks within the same library member would shift
the composition of the mixture of interconverting molecules toward
those that adopt well-defined and stable conformations. We designed
building blocks to contain short peptide units, alternating hydrophobic
and hydrophilic amino acids. Such a motif is known to fold into β-sheet
structures.[60,61] And indeed, β-sheets were
found, but, surprisingly, not within but between the molecules formed
from the building blocks. Thus, instead of foldamers, we obtained
self-assembling stacks of macrocycles.[1] As shown in Figure , this stacking process drives the synthesis of the very macrocycles
that stack, amounting to their self-replication. The mechanism of
self-replication starts with the oxidation of the thiol moieties of
the building block (such as 1a) to give rise to a mixture
of macrocyclic disulfides that exchange building blocks with each
other through reversible thiol–disulfide chemistry.[62] Stacking of the central aromatic rings, together
with β-sheet formation between the peptide side groups, allows
a specific macrocycle to assemble (in the example in Figure a this is the hexamer). The
growth of these replicators usually exhibits a pronounced lag phase,
typical for autocatalytic systems, as shown for the emergence of (1a)6 in Figure b, The 1-D assemblies grow from their ends (evident
from experiments using isotopically labeled material),[63] and, when subjected to mechanical energy through
agitating the sample, the stacks break, exposing additional stack
ends. This growth-breakage mechanism enables exponential growth of
the fibers and the self-replicating macrocycles from which they are
constituted.[2]
Figure 2
(a) Simplified mechanism
by which self-assembly can drive self-replication.
(b) Kinetics of formation of different oligomers of 1a showing a distinct lag phase in the formation of replicator (1a)6.[2] (c) Assembly
of precursors on the sides of the fibers promotes self-replication
as evident from (d) high-speed AFM images of a fiber growing from
a bound precursor aggregate at t = 0, 2, and 5 min
(data taken from ref (64)). (e) Building blocks with which self-assembly driven self-replication
has been observed include peptide derivatives 1a–f, but also amino-acid nucleic-acid chimeras 2 and 3 as well as molecules 1g and 4 lacking any of life’s current building blocks.
(a) Simplified mechanism
by which self-assembly can drive self-replication.
(b) Kinetics of formation of different oligomers of 1a showing a distinct lag phase in the formation of replicator (1a)6.[2] (c) Assembly
of precursors on the sides of the fibers promotes self-replication
as evident from (d) high-speed AFM images of a fiber growing from
a bound precursor aggregate at t = 0, 2, and 5 min
(data taken from ref (64)). (e) Building blocks with which self-assembly driven self-replication
has been observed include peptide derivatives 1a–f, but also amino-acid nucleic-acid chimeras 2 and 3 as well as molecules 1g and 4 lacking any of life’s current building blocks.Detailed investigation of the mechanism of self-replication
by
high-speed AFM and MD simulations on hexamer replicators made from 1a revealed that fiber growth involves the recruitment of
precursors that bind as aggregates to the sides of the fibers (Figure c,d).[64] This material diffuses along the grooves on
the fibers to the fiber ends, where fiber growth takes place. This
way of guided assembly represents an interesting new mechanism for
supramolecular polymerization, simplifying a 3-D search problem (where
monomers have to find the fiber ends in solution) into a 1-D search
problem (where diffusion along the fiber surface allows those ends
to be found faster).While several peptide-based self-replicators[65,66] and replicator networks[67] have been reported,
these typically involve α-helices that interact through helix-bundle
formation and replicate through a different mechanism.The exponential
replication mediated by the growth-breakage mechanism
solves a problem that has thwarted the replicator field for decades:
the inhibition of replication resulting from the tendency of replicators
to remain associated with each other.[68] Most other systems of self-replicators involve the ligations of
two precursor molecules on a template to produce a dimer of the template,
which needs to dissociate before further replication can take place.
Dissociation is normally difficult, resulting in parabolic growth,
as opposed to exponential growth (termed the “square root law”
of replication by von Kiedrowski).[68] Szathmáry
showed that parabolic replicators tend to co-exist indefinitely, while
exponential replication leads to survival of the fittest and extinction
of the weakest replicators.[69] Thus, parabolic
replicators cannot normally undergo Darwinian evolution, while exponential
replicators can.Intriguing parallels exist between the replication
mechanism shown
in Figure a and amyloid
assembly[70] (implicated in prion diseases,
but also suggested to have played a role in the origin of life[71]). Both processes are autocatalytic, exhibit
a growth-breakage mechanism, may give rise to different strains and
feature roles (albeit different in nature) of fiber sides.The
mechanism shown in Figure a appears general. Many different peptides sequences
have been used, included remarkably short one such as 1f,[72] giving rise to replicators with different
ring size (the more strongly interacting peptides yield smaller rings,
in line with a minimal interaction strength and associated degree
of multivalency needed for assembly).[73] In select cases, competition between replicators of different ring
sizes occurs with environmental conditions determining the winner.
For example, a hexamer of building block 1c prevailed
when shaking, while a heptamer forms under stirring[1] or either a hexamer or octamer of 1b prevailing,
depending on the solvent environment.[74] We have shown that also chimeric building blocks featuring an amino
acid and a nucleobase (2 and 3 in Figure e) can give rise
to exponentially growing replicators.[75] Even building blocks lacking any peptide and even lacking any similarity
to the building blocks of current life (i.e., not featuring any amino
acids or nucleobases) can give rise to self-replicators, as evident
from the behavior of samples made from oligoethylene oxide substituted
building block 1g(76,77) or dimercaptonaphthalene 4.[78] In contrast to the one-dimensional
fibrous assemblies formed from oligomers of 1a–g, 2, and 3, building block 1g gives rise to cyclic hexamers that autocatalytically assemble
into sheets, while 4 gives rise to cyclic tetramers of
which one particular isomer autocatalytically forms sheetlike aggregates.
Thus, the growth-breakage replication mechanism works for 1-D as well
as 2-D assemblies. The mechanism of self-replication is also not limited
to disulfide chemistry, as Ashkenasy and co-workers demonstrated a
similar replication behavior involving native chemical ligation.[79,80]Note that, some 10 years after the discovery of the self-replicators
in the course of aiming for the formation of foldamers, we did succeed
in obtaining folded molecules by shortening the peptide sequence,
with which β-sheet formation is less feasible,[81] or by introducing nucleobase residues.[82] We recently also explored systems at the boundary of self-replication
and folding, describing self-sorting between the two assembly modes[83] as well as the conversion of foldamers into
replicators.[84] We conclude that these two
modes of assembly are two sides of the same coin. Whether a systems
folds or forms self-replicators is difficult to control and depends
on whether assembly processes occur intra- or intermolecularly, respectively.[84] In fact, even after millions of years of evolution,
the competition between assembly and folding in biology is, in some
instances, still poorly controlled, as evident from prion diseases
that are caused by the autocatalytic assembly of proteins into β-sheets
as opposed to folding.
Evolutionary Dynamics
The examples
discussed above featured systems prepared from only
a single block which constrains the diversity of products formed.
Including a second building block was found to lead to much richer
dynamics and revealed behavior that starts to resemble aspects of
evolutionary dynamics that we know from living systems. A first example
is the spontaneous diversification of self-replicating molecules into
two sets observed in dynamic mixtures prepared from building blocks 1a and 1b, differing in only a single amino acid
residue.[85] In isolation, the two building
blocks give rise to hexamer and octamer replicators, respectively.[73] However, upon mixing, only hexamers emerge.
First a series of hexamer mutants rich in 1a appears,
followed later by the emergence of another set of hexamers, rich in
the remaining building block 1b (Figure a). Seeding experiments showed that the first
set of hexamers cross-catalyzes the formation of the second set, indicative
of an ancestral relationship. This behavior resembles the process
by which species form in biology. Interestingly, upon repeating the
experiment, mixed hexamer (1a)3(1b)3 sometimes emerges as part of the first set and sometimes
as part of the second set. Such stochastic behavior is rare in chemistry,
but more common in evolutionary biology.
Figure 3
(a) Diversification of
self-replicating molecules. Oxidizing a
mixture of building blocks 1a and 1b leads
to two separate sets of replicators that emerge at different times.
The first set of hexamers rich in 1a induces the formation
of a second set of hexamers that specialize on 1b. (b)
Sample history dictates replicator composition. Whether building block 1d gives rise to hexamer or octamer replicator depends on
whether the sample was exposed to independently prepared hexameric
or octameric replicators, which cross-catalyze the formation of the
replicator of 1d with the corresponding ring size. (c)
Parasitic/predatory behavior in which replicator (1b)8 cross-catalyzes the formation of (1f)(1b)6– which subsequently consumes the original replicator (1b)8. Adapted with permission from ref (87). Copyright 2018, John
Wiley & Sons, Inc.
(a) Diversification of
self-replicating molecules. Oxidizing a
mixture of building blocks 1a and 1b leads
to two separate sets of replicators that emerge at different times.
The first set of hexamers rich in 1a induces the formation
of a second set of hexamers that specialize on 1b. (b)
Sample history dictates replicator composition. Whether building block 1d gives rise to hexamer or octamer replicator depends on
whether the sample was exposed to independently prepared hexameric
or octameric replicators, which cross-catalyze the formation of the
replicator of 1d with the corresponding ring size. (c)
Parasitic/predatory behavior in which replicator (1b)8 cross-catalyzes the formation of (1f)(1b)6– which subsequently consumes the original replicator (1b)8. Adapted with permission from ref (87). Copyright 2018, John
Wiley & Sons, Inc.Another mixed building
blocks system showed another feature that
is important for evolutionary scenarios: history dependence. Starting
from building block 1d, hexamer replicators formed when
the mixture was exposed to preformed hexamer replicators (separately
prepared from 1a), while preformed octamer replicators
(made from 1b) funneled the building block into octamers
(Figure b).[86] Thus, the nature of the self-replicating molecules
that form is dictated by the interactions with self-replicators that
were already present, overriding preferences innate to the structure
of the building blocks. A similar situation is found for life, which
is a state of matter that derives its organization from previous forms
of life and this organization is very different from the thermodynamically
most stable arrangement of its constituents.A final example
of interesting evolutionary dynamics that was found
upon mixing building blocks shows similarities to parasitism and predation.
This system features building block 1f, which differs
from the peptide building blocks discussed so far by containing an
additional methylene unit in the backbone of the first amino acid
(β-alanine instead of glycine). Dynamic mixtures formed upon
oxidizing this building block are sluggish at producing any self-replicators.
However, in the presence of previously formed octamer replicator (1b)8 a hexamer replicator is formed rapidly which
incorporated both building block 1f and 1b.[87] Once formed, the new replicator consumes
the original replicators to which it owes its existence. These results
show that parasitism is to be reckoned with already at the very early
stages of the emergence of life.
Integrating Self-Replication
and Metabolism
The synthesis of life requires the integration
of the different
functional subsystems (Figure ). We recently succeeded in integrating self-replication with
a proto-metabolism by making use of the proven potential of peptide
assemblies to catalyze chemical reactions.[88−90] Following a
number of not very fruitful attempts at engineering catalytic sites
into our self-replicators, we discovered that the already existing
systems already exhibited impressive catalytic activity for several
different chemical reactions, without needing any structural alterations.
Specifically, hexamer replicators made from building block 1a (but not 1a itself, nor the nonfibrous small ring macrocycles
it forms upon oxidation) were able to catalyze a retro-aldol and an
FMOC cleavage reaction (Figure a–e).[3]
Figure 4
(a) Replicator (1a)6 catalyzes the retro-aldol
reaction of methodol 5 involving imine formation between
the nonprotonated lysine residues and 5. (b) The close
proximity of many lysine side groups in the assemblies of replicator
(1a)6 perturbs the pKA of the lysine groups resulting in the presence of nonprotonated
lysines at neutral pH. (c) Proto-metabolism arising from replicator
(1a)6 catalyzing the cleavage of FMOC-glycine
(6) to yield dibenzofulvene (7) which accelerates
the oxidation of building block 1a into the small-ring
precursors from which the replicator grows. (d) Postulated mechanism
through which (1a)6 catalyzes the cleavage
of FMOC-glycine, relying on the simultaneous presence of protonated
and nonprotonated lysine amine groups. (e) In an agitated sample prepared
from dithiol building block 1a (200 μM) and FMOC-glycine 6 (100 μM) the emergence of (1a)6 (dark blue circles) coincides with the onset of FMOC cleavage (red
circles). Upon repeating the experiment in the absence of FMOC-glycine,
replicator (1a)6 emerges at the same time,
but grew significantly slower (light blue circles). Adapted with permission
from ref (3). Copyright
2020, Springer Nature. (f) Proto-metabolism arising through binding
of dyes to replicator (1a)6 which enhances
the conversion of triplet to singlet oxygen, accelerating the production
of replicator precursor. (g) Dyes used as cofactors for photomediated
singlet-oxygen production.
(a) Replicator (1a)6 catalyzes the retro-aldol
reaction of methodol 5 involving imine formation between
the nonprotonated lysine residues and 5. (b) The close
proximity of many lysine side groups in the assemblies of replicator
(1a)6 perturbs the pKA of the lysine groups resulting in the presence of nonprotonated
lysines at neutral pH. (c) Proto-metabolism arising from replicator
(1a)6 catalyzing the cleavage of FMOC-glycine
(6) to yield dibenzofulvene (7) which accelerates
the oxidation of building block 1a into the small-ring
precursors from which the replicator grows. (d) Postulated mechanism
through which (1a)6 catalyzes the cleavage
of FMOC-glycine, relying on the simultaneous presence of protonated
and nonprotonated lysine amine groups. (e) In an agitated sample prepared
from dithiol building block 1a (200 μM) and FMOC-glycine 6 (100 μM) the emergence of (1a)6 (dark blue circles) coincides with the onset of FMOC cleavage (red
circles). Upon repeating the experiment in the absence of FMOC-glycine,
replicator (1a)6 emerges at the same time,
but grew significantly slower (light blue circles). Adapted with permission
from ref (3). Copyright
2020, Springer Nature. (f) Proto-metabolism arising through binding
of dyes to replicator (1a)6 which enhances
the conversion of triplet to singlet oxygen, accelerating the production
of replicator precursor. (g) Dyes used as cofactors for photomediated
singlet-oxygen production.The catalysis of the retro-aldol reaction of methodol 5 proceeds through imine formation between 5 and unprotonated
lysine residues of (1a)6 (Figure a) which exist at neutral pH
as their pKA is lowered due to the close
proximity of other protonated lysines in the assemblies (Figure b). Interestingly,
even without any optimization, the catalytic activity of the replicator
is similar to the best designer enzymes that have been developed for
this reaction.[91−94]The catalysis of the cleavage of FMOC-glycine (6; Figure c) also
relies on
the simultaneous presence of protonated and deprotonated lysines (Figure d). The latter reaction
produces a dibenzofulvene product (7) that enhances the
rate at which dithiol building blocks 1a oxidizes to
give rise to the mixture of 3- and 4-membered macrocycles that are
the precursors of replicator (1a)6. By increasing
the rate at which its own precursors are produced, also the rate of
replication increases (blue arrow in Figure e). Thus, the replicator is able to catalyze
a reaction that promotes the formation of its own precursors, amounting
to proto-metabolism. This behavior falls short of full-fledged metabolism
in that it does not tap into an energy source.Using another
strategy we were able to design a light-driven proto-metabolism
relying on replicator (1a)6 binding and activating
a cofactor capable of photoredox catalysis.[49] Simply mixing this cofactor (Rose Bengal or tetraphenylporphyrin; Figure g) with building
block 1a led to the emergence of replicator (1a)6, which then binds the cofactor enhancing the rate at
which it photochemically converts triplet into singlet oxygen (Figure f). The latter then
accelerates the oxidation of building blocks 1a yielding
the small-ring precursors from which the replicator grows. So, similar
to the FMOC cleavage reaction, the replicator enhances the rate at
which its own precursors get produced.In all these reactions,
the replicator is far superior at catalysis
and cofactor activation compared to its building block or its small-ring
precursors as only the replicator assembly provides the microenvironment
that results in a perturbed lysine pKa and only the
assembly provides the hydrophobic binding pockets for cofactors and
substrates. Thus, catalytic and proto-metabolic activities are emergent
properties of the system.The fact that structures that were
selected solely on their ability
to self-replicate also exhibit additional and promiscuous catalytic
activity is significant. Such chance emergence of function resembles
a mechanism of evolutionary invention called co-option, where a feature
that emerged as it provided a certain function was also capable of
fulfilling a completely unrelated one (a famous example in evolutionary
biology are feathers, which are believed to have originated as they
improved temperature control, but were then co-opted to facilitate
flight). In the present system of replicators β-sheets arise
in the assembly process that drives self-replication and inadvertently
organize amino acids in space to yield catalytically active sites
or pockets for cofactor binding. The spontaneous occurrence of inventions
of this type is highly encouraging as it bodes well for achieving
one of the most challenging aspects in the synthesis of life: open-ended
evolution (see below).
Operating Self-Replication out of Equilibrium
Life needs to be maintained out of equilibrium and also the process
of Darwinian evolution relies on an input of energy to maintain the
replication-destruction cycles that enable evolution. In living systems,
metabolic processes maintain the internal organization away from equilibrium.
While the norm in biology, in chemistry out-of-equilibrium systems
have, historically, received only little attention (perhaps with the
exception of, for example, oscillating reactions[95]). However, this situation is now changing and out-of-equilibrium
systems are increasingly in the spotlight, particularly in the area
of self-assembly.[38−43]One of the simplest ways of maintaining self-replicating systems
out of equilibrium is by placing them in a flow reactor, in which
precursors are continuously supplied and part of the reaction mixture
is removed. In such setup outflow means death. For homogeneous systems,
death though outflow is nonselective (i.e., each replicator has the
same probability of being removed in a given time span) and any selection
is therefore solely based on the efficiency of replication. We recently
implemented a replication-destruction regime in which death is mediated
chemically and is therefore potentially selective (i.e., different
replicators may exhibit different levels of resilience against chemical
decomposition).[4] In such systems, replicator
persistence depends on a combination of replication efficiency and
resilience to destruction. We have shown that in this regime molecularly
more complex replicators may outcompete simpler ones, which is a desirable
but not trivial (see below) evolutionary outcome.We set up
a competition between two replicators that differ in
molecular complexity: our workhorse replicator (1a)6 and the smaller replicator (1a)3 which
forms from the same building blocks 1a in the presence
of guanidinium chloride.[4] In the presence
of this salt, the trimer replicates faster than the hexamer, consistent
with the notion that simpler molecules can be replicated faster than
more complex ones. Furthermore, various experiments also suggest that
the trimer is most likely the most stable state of the system (trimer
grows at the expense of hexamer when a mixture of the two is stirred),
consistent with the notion that simpler molecules are entropically
more favorable than more complex ones. Nevertheless, it turned out
that the hexamer replicator was able to outcompete the trimer upon
exposing it to a replication-destruction regime.This regime
was implemented by continuous and simultaneous addition
of oxidant (sodium perborate; NaBO3) and reductant (TCEP; Figure a). The perborate
mediates the oxidation of thiols to disulfides, while TCEP induces
the reverse reaction. Since both redox reagents are present at a low
stationary concentration, their direct short-circuiting reaction is
insignificant relative to the reaction with thiols and disulfides,
which are present at much higher concentrations. Thus, the redox reagents
cause a continuous flux of building block through the two competing
replicators.
Figure 5
(a) Continuous supply of NaBO3 as oxidant and
TCEP as
reductant results in a chemically fueled replication-destruction regime
in which the slow replicator (1a)6 is able
to outcompete the faster, more stable replicator (1a)3 by virtue of being more resilient to chemical destruction.[4] The thickness of the lines represent the magnitude
of the flux of material through the different reaction paths (based
on a kinetic model parametrized with mostly experimentally determined
rate constants). (b) Qualitative Gibbs energy landscape showing the
activation barriers (ΔG⧧)
for the interconversion between dithiol building block 1a and disulfide replicators (1a)3 and (1a)6 with disulfide formation in black and disulfide
cleavage in blue. Abbreviations: rd = reductant; ox = oxidant; w =
waste product.
(a) Continuous supply of NaBO3 as oxidant and
TCEP as
reductant results in a chemically fueled replication-destruction regime
in which the slow replicator (1a)6 is able
to outcompete the faster, more stable replicator (1a)3 by virtue of being more resilient to chemical destruction.[4] The thickness of the lines represent the magnitude
of the flux of material through the different reaction paths (based
on a kinetic model parametrized with mostly experimentally determined
rate constants). (b) Qualitative Gibbs energy landscape showing the
activation barriers (ΔG⧧)
for the interconversion between dithiol building block 1a and disulfide replicators (1a)3 and (1a)6 with disulfide formation in black and disulfide
cleavage in blue. Abbreviations: rd = reductant; ox = oxidant; w =
waste product.The observation that, in this
chemically fueled replication-destruction
regime, the molecularly more complex and slower hexamer replicator
was able to outcompete the simpler and faster trimer was attributed
to the hexamer being more resilient to destruction than the trimer
(as confirmed in competitive reduction control experiments; most likely
a consequence of steric hindrance of approach of the reductant). These
results can be rationalized using the Gibbs energy diagram shown in Figure b, which features
separate pathways for perborate mediated replication and TCEP mediated
destruction. The fact that detailed balance is broken (i.e., disulfide
bond formation and breakage take place through separate pathways,
each coupled to the conversion of a different high-energy reactant)
is essential to escape from thermodynamic control and outcompete the
faster but simpler replicator. These results represent one of the
first manifestations of selection of a synthetic self-replicator based
on its dynamic kinetic stability.[16,96]Even
though the difference in molecular complexity between trimer
and hexamer replicator may not be very large, these results are nevertheless
conceptually important as they address a problem in early evolution
that has become known as the “Spiegelman monster”. In
the 1960s Spiegelman showed that replicase-mediated in vitro evolutionary
experiments on RNA resulted in the dramatic shortening of the RNA
sequence.[97] In these experiments serial
transfer was used to implement a replication-destruction regime (where
not being transferred to the next experiment amounts to death). As
all replicators have the same probability of being transferred, death
is not selective and selection occurs only based on the speed of replication.
Short RNA sequences are replicated faster than long ones and therefore
have a competitive advantage in such setting. Thus, there is an inherent
tendency to evolve toward reduced complexity. Yet, the emergence and
early evolution of life is likely to require an increase in complexity.
Our experiments demonstrate an obvious solution to this problem: make
sure that complex replicators die slower. In our system, this feature
is achieved chemically. In previous work by Braun et al., a similar
result is achieved by selective retention of more complex molecules
in a flow reactor featuring a temperature gradient enabling selective
thermophoretic trapping.[98]
The Next Steps
In little more than a decade of effort by our lab, substantial
progress toward the long-term goal of de novo life has been made and
the path ahead is becoming increasingly clear. Self-replication and
its integration with a proto-metabolism have been achieved,[3,49] and the resulting binary system can be operated in out-of-equilibrium
replication-destruction regimes where replication is accompanied by
mutation and selection.[85] The last main
ingredient of life that still needs to be integrated is compartmentalization,
including a mechanism for compartment division.[99] Integrating this feature would clear an important evolutionary
hurdle. It would allow for further development of metabolically active
replicators through Darwinian evolution. Without compartments, evolutionary
selection for metabolically relevant catalytic activity is challenging
as the products of the catalytic activity will benefit not only the
replicator that generated them but also all other replicators in the
sample, irrespective of whether they contributed to catalysis. When
a replicator and the products it generates through catalysis are confined
within a compartment, then only the replicator that is responsible
for catalysis benefits and can thereby be selected based on its catalytic
proficiency. Thus, compartmentalization provides protection against
kleptoparasites. In fact, various studies on RNA-based systems have
shown that compartments may also protect against other forms of parasitism.[46,47] In addition compartments can enhance the rate of evolutionary adaptation
in directed evolution experiments.[100] We
already witnessed in our own experiments that parasites may emerge
at early stages in the development of life (see above).[87]Once compartmentalization has been achieved,
the next and possibly
final challenge will be to achieve Darwinian evolution of the resulting
system in a meaningful way. This step may well represent the biggest
challenge of all, requiring the systems to be sufficiently robust
to withstand death by entropy (i.e., mutating at a speed that any
information it may have acquired is lost again). Yet at the same time
the system should have a large enough chemical/structural space available
to explore to ensure that evolutionary inventions can be made without
limits, making evolution open-ended.[25,101,102] It is essential that the exploration of this space
should occur in a restrained manner, where evolution dictates which
very small part of the very large space the system occupies at any
one time (Figure ).
Such behavior places high demands on the fidelity of replication,
particularly when, in the course of evolution, the information content
of the system increases. Related to this issue is the notion of evolvability,
which is an aspect that has received hardly any attention in experimental
work on synthetic self-replicating systems. The challenge here is
to be receptive to aspects of heredity and evolvability that may well
differ from the way we are used to thinking about these phenomena,
i.e., different from the way nucleic acid sequences evolve. For example,
in our systems of replicators, the copying of information appears
to occur at the fiber ends (where the fiber end acts as the template
for the next ring that is attached). Yet, also the fiber sides play
a role in catalyzing the formation of precursors for the replicator
(Figure c and f) and
in channeling this material to the fiber ends (Figure c,d). The exact amino-acid composition at
the sides of the fiber will therefore impact on the rate of growth
of this fiber and if this happens in a way that biases amino-acid
incorporation to favor production of the most active amino-acid compositions
then such compositions will be heritable. This represents a mechanism
of heredity that is conceptually different from the template-based
replication of nucleic acids but bears some similarity to the GARD
model developed by Lancet et al. based on a lipid-world scenario.[103] Indeed, if our systems are to evolve toward
open-endedness, then their information content will eventually have
to exceed what is possible based on the limited number of permutations
allowed by varying ring size and composition. Once fiber compositions
(i.e., the sequence of rings along the fiber) start to become heritable,
orders of magnitude more information may be stored and passed on to
next generations. Weak heredity of sequence information may arise
through the mechanism discussed above. Information transfer through
templating by a pre-existing fiber, for example, through base-pairing,
would be another mechanism capable of stronger heredity. We have shown
that nucleobases can be incorporated into our replicators, albeit
without any indication for base-pairing.[75] Work by Hud et al. has shown that base-pairing interactions can
occur in self-assembled materials, although these systems cannot self-replicate.[104] So challenges remain.
Figure 6
Open-ended Darwinian
evolution requires a huge structure space
to be available to allow for continuous evolutionary inventions to
be made. At any given time, an evolving system must only occupy a
tiny subset of this space, putting demands on replication fidelity.
In the process of evolution, the location of the occupied subset changes
gradually. Note that the occupied and available structure spaces are
not drawn to scale; the former is so much smaller than the latter
that it would not be visible otherwise.
Open-ended Darwinian
evolution requires a huge structure space
to be available to allow for continuous evolutionary inventions to
be made. At any given time, an evolving system must only occupy a
tiny subset of this space, putting demands on replication fidelity.
In the process of evolution, the location of the occupied subset changes
gradually. Note that the occupied and available structure spaces are
not drawn to scale; the former is so much smaller than the latter
that it would not be visible otherwise.
Implications
If, one day, humans will be able to synthesize life de novo, this
will have several implications. First, it will help us with understanding
what life is. Having more than a single biochemistry should assist
in identifying and generalizing life’s distinguishing features.
Such knowledge would also help defining the target(s) in our search
for extraterrestrial forms of life.The process of making life
will also inform on the path that may
have been traveled in the emergence of life on Earth. Even though
efforts of synthesizing life are not necessarily directed by current
biochemistry or prebiotic geochemistry, having one (or more) synthetic
path(s) connecting chemistry to biology might assist in identifying
an analogous route that is compatible with conditions on early Earth
and that converges on extant biochemistry. Some potentially useful
insights on the prebiotic emergence of autocatalytic systems may already
be obtained from the work described in this Account. For example,
we found that autocatalytic systems emerge spontaneously and readily
in mixtures where monomers oligomerize reversibly, provided that these
oligomers are capable of self-assembly. This observation suggests
that autocatalysis may be easier to achieve than previously thought,
given that reversible oligomerization and self-assembly are quite
general and widespread phenomena. Our work has also shown that this
mechanism may lead to the autocatalytic formation of one-dimensional
arrays of nucleic acids.[75] Such arrays
may be a stepping stone toward systems in which nucleic acid sequences
within such arrays are replicated.Finally, it is not unreasonable
to expect that the ability to synthesize
life may have an impact that is at least similar to the impact made
by the ability to synthesize organic molecules. It is tempting to
draw a parallel between these two developments. It was long thought
that organic molecules could only be produced by living organisms.
The idea that a “life force” was needed was eventually
refuted by demonstrating that such molecules could also be obtained
synthetically (a famous example is the synthesis of urea by Wöhler
in 1828).[105] These demonstrations gave
rise to the field of organic chemistry which has made a tremendous
impact in areas ranging from medicine to materials. We are now getting
closer to being able to synthesize life (and demonstrating that it
is not only a product of existing forms of life). Just like urea was
not exactly the most impressive or useful example of an organic molecule,
the first form of synthetic life is equally unlikely to impress, when
compared to even the simplest currently living organism. Yet, just
like the many human-made organic molecules that followed the synthesis
of urea, the subsequent forms of human-made life (living technology)
are likely be at least similarly impactful, but in ways that may currently
be difficult to predict.
Authors: Jacqui M A Carnall; Christopher A Waudby; Ana M Belenguer; Marc C A Stuart; Jérôme J-P Peyralans; Sijbren Otto Journal: Science Date: 2010-03-19 Impact factor: 47.728
Authors: Bin Liu; Meagan A Beatty; Charalampos G Pappas; Kai Liu; Jim Ottelé; Sijbren Otto Journal: Angew Chem Int Ed Engl Date: 2021-05-05 Impact factor: 15.336
Authors: Dávid Komáromy; Marc C A Stuart; Guillermo Monreal Santiago; Meniz Tezcan; Victor V Krasnikov; Sijbren Otto Journal: J Am Chem Soc Date: 2017-04-24 Impact factor: 15.419