Cell Survival Enabled by Leakage of a Labile Metabolic Intermediate.

Many metabolites are generated in one step of a biochemical pathway and consumed in a subsequent step. Such metabolic intermediates are often reactive molecules which, if allowed to freely diffuse in the intracellular milieu, could lead to undesirable side reactions and even become toxic to the cell. Therefore, metabolic intermediates are often protected as protein-bound species and directly transferred between enzyme active sites in multi-functional enzymes, multi-enzyme complexes, and metabolons. Sequestration of reactive metabolic intermediates thus contributes to metabolic efficiency. It is not known, however, whether this evolutionary adaptation can be relaxed in response to challenges to organismal survival. Here, we report evolutionary repair experiments on Escherichia coli cells in which an enzyme crucial for the biosynthesis of proline has been deleted. The deletion makes cells unable to grow in a culture medium lacking proline. Remarkably, however, cell growth is efficiently restored by many single mutations (12 at least) in the gene of glutamine synthetase. The mutations cause the leakage to the intracellular milieu of a highly reactive phosphorylated intermediate common to the biosynthetic pathways of glutamine and proline. This intermediate is generally assumed to exist only as a protein-bound species. Nevertheless, its diffusion upon mutation-induced leakage enables a new route to proline biosynthesis. Our results support that leakage of sequestered metabolic intermediates can readily occur and contribute to organismal adaptation in some scenarios. Enhanced availability of reactive molecules may enable the generation of new biochemical pathways and the potential of mutation-induced leakage in metabolic engineering is noted.

Non-conservation of folding rates in the thioredoxin family reveals degradation of ancestral unassisted-folding.

Evolution involves not only adaptation, but also the degradation of superfluous features. Many examples of degradation at the morphological level are known (vestigial organs, for instance). However, the impact of degradation on molecular evolution has been rarely addressed. Thioredoxins serve as general oxidoreductases in all cells. Here, we report extensive mutational analyses on the folding of modern and resurrected ancestral bacterial thioredoxins. Contrary to claims from recent literature, in vitro folding rates in the thioredoxin family are not evolutionarily conserved, but span at least a ∼100-fold range. Furthermore, modern thioredoxin folding is often substantially slower than ancestral thioredoxin folding. Unassisted folding, as probed in vitro, thus emerges as an ancestral vestigial feature that underwent degradation, plausibly upon the evolutionary emergence of efficient cellular folding assistance. More generally, our results provide evidence that degradation of ancestral features shapes, not only morphological evolution, but also the evolution of individual proteins.

Engineering ancestral protein hyperstability.

Many experimental analyses and proposed scenarios support that ancient life was thermophilic. In congruence with this hypothesis, proteins encoded by reconstructed sequences corresponding to ancient phylogenetic nodes often display very high stability. Here, we show that such 'reconstructed ancestral hyperstability' can be further engineered on the basis of a straightforward approach that uses exclusively information afforded by the ancestral reconstruction process itself. Since evolution does not imply continuous progression, screening of the mutations between two evolutionarily related resurrected ancestral proteins may identify mutations that further stabilize the most stable one. To explore this approach, we have used a resurrected thioredoxin corresponding to the last common ancestor of the cyanobacterial, Deinococcus and Thermus groups (LPBCA thioredoxin), which has a denaturation temperature of ∼123°C. This high value is within the top 0.1% of the denaturation temperatures in the ProTherm database and, therefore, achieving further stabilization appears a priori as a challenging task. Nevertheless, experimental comparison with a resurrected thioredoxin corresponding to the last common ancestor of bacteria (denaturation temperature of ∼115°C) immediately identifies three mutations that increase the denaturation temperature of LPBCA thioredoxin to ∼128°C. Comparison between evolutionarily related resurrected ancestral proteins thus emerges as a simple approach to expand the capability of ancestral reconstruction to search sequence space for extreme protein properties of biotechnological interest. The fact that ancestral sequences for many phylogenetic nodes can be derived from a single alignment of modern sequences should contribute to the general applicability of this approach.

Mutational studies on resurrected ancestral proteins reveal conservation of site-specific amino acid preferences throughout evolutionary history.

Local protein interactions ("molecular context" effects) dictate amino acid replacements and can be described in terms of site-specific, energetic preferences for any different amino acid. It has been recently debated whether these preferences remain approximately constant during evolution or whether, due to coevolution of sites, they change strongly. Such research highlights an unresolved and fundamental issue with far-reaching implications for phylogenetic analysis and molecular evolution modeling. Here, we take advantage of the recent availability of phenotypically supported laboratory resurrections of Precambrian thioredoxins and ß-lactamases to experimentally address the change of site-specific amino acid preferences over long geological timescales. Extensive mutational analyses support the notion that evolutionary adjustment to a new amino acid may occur, but to a large extent this is insufficient to erase the primitive preference for amino acid replacements. Generally, site-specific amino acid preferences appear to remain conserved throughout evolutionary history despite local sequence divergence. We show such preference conservation to be readily understandable in molecular terms and we provide crystallographic evidence for an intriguing structural-switch mechanism: Energetic preference for an ancestral amino acid in a modern protein can be linked to reorganization upon mutation to the ancestral local structure around the mutated site. Finally, we point out that site-specific preference conservation naturally leads to one plausible evolutionary explanation for the existence of intragenic global suppressor mutations.

Probing the mutational interplay between primary and promiscuous protein functions: a computational-experimental approach.

Protein promiscuity is of considerable interest due its role in adaptive metabolic plasticity, its fundamental connection with molecular evolution and also because of its biotechnological applications. Current views on the relation between primary and promiscuous protein activities stem largely from laboratory evolution experiments aimed at increasing promiscuous activity levels. Here, on the other hand, we attempt to assess the main features of the simultaneous modulation of the primary and promiscuous functions during the course of natural evolution. The computational/experimental approach we propose for this task involves the following steps: a function-targeted, statistical coupling analysis of evolutionary data is used to determine a set of positions likely linked to the recruitment of a promiscuous activity for a new function; a combinatorial library of mutations on this set of positions is prepared and screened for both, the primary and the promiscuous activities; a partial-least-squares reconstruction of the full combinatorial space is carried out; finally, an approximation to the Pareto set of variants with optimal primary/promiscuous activities is derived. Application of the approach to the emergence of folding catalysis in thioredoxin scaffolds reveals an unanticipated scenario: diverse patterns of primary/promiscuous activity modulation are possible, including a moderate (but likely significant in a biological context) simultaneous enhancement of both activities. We show that this scenario can be most simply explained on the basis of the conformational diversity hypothesis, although alternative interpretations cannot be ruled out. Overall, the results reported may help clarify the mechanisms of the evolution of new functions. From a different viewpoint, the partial-least-squares-reconstruction/Pareto-set-prediction approach we have introduced provides the computational basis for an efficient directed-evolution protocol aimed at the simultaneous enhancement of several protein features and should therefore open new possibilities in the engineering of multi-functional enzymes.

How many ionizable groups can sit on a protein hydrophobic core?

Full or partial burial of ionizable groups in the hydrophobic interior of proteins underlies the large modulation in group properties (modified pK value, high nucleophilicity, enhanced capability of interaction with chemical moieties of the substrate, etc.) linked to biological function. Indeed, the few internal ionizable residues found in proteins are known to play important functional roles in catalysis and, in general, in energy transduction processes. However, ionizable-group burial is expected to be seriously disruptive and, it is important to note, most functional sites contain not just one, but several ionizable residues. Hence, the adaptations involved in the development of function in proteins (through in vitro engineering or during the course of natural evolution) are not fully understood. Here, we explore experimentally how proteins respond to the accumulation of hydrophobic-to-ionizable residue substitutions. For this purpose, we have constructed a combinatorial library targeting a hydrophobic cluster in a consensus-engineered, stabilized form of a small model protein. Contrary to naïve expectation, half of the variants randomly selected from the library are soluble, folded, and active, despite including up to four mutations. Furthermore, for these variants, the dependence of stability with the number of mutations is not synergistic and catastrophic, but smooth and approximately linear. Clearly, stabilized protein scaffolds may be robust enough to withstand many disruptive hydrophobic-to-ionizable residue mutations, even when they are introduced in the same region of the structure. These results should be relevant for protein engineering and may have implications for the understanding of the early evolution of enzymes.

Folding Free Energy Surfaces from Differential Scanning Calorimetry.

Protein folding/unfolding processes involve a large number of weak, non-covalent interactions and are more appropriately described in terms of the movement of a point representing protein conformation in a plot of internal free energy versus conformational degrees of freedom. While these energy landscapes have an astronomically large number of dimensions, it has been shown that many relevant aspects of protein folding can be understood in terms of their projections onto a few relevant coordinates. Remarkably, such low-dimensional free energy surfaces can be obtained from experimental DSC data using suitable analytical models. Here, we describe the experimental procedures to be used to obtain the high-quality DSC data that are required for free-energy surface analysis.

Large-scale modulation of thermodynamic protein folding barriers linked to electrostatics.

Protein folding barriers, which range from zero to the tens of RT that result in classical two-state kinetics, are primarily determined by protein size and structural topology [Plaxco KW, Simons KT, Baker D (1998) J Mol Biol 277:985-994]. Here, we investigate the thermodynamic folding barriers of two relatively large proteins of the same size and topology: bovine alpha-lactalbumin (BLA) and hen-egg-white lysozyme (HEWL). From the analysis of differential scanning calorimetry experiments with the variable-barrier model [Muñoz V, Sanchez-Ruiz JM (2004) Proc Natl Acad Sci USA 101:17646-17651] we obtain a high barrier for HEWL and a marginal folding barrier for BLA. These results demonstrate a remarkable tuning range of at least 30 kJ/mol (i.e., five to six orders of magnitude in population) within a unique protein scaffold. Experimental and theoretical analyses on these proteins indicate that the surprisingly small thermodynamic folding barrier of BLA arises from the stabilization of partially unfolded conformations by electrostatic interactions. Interestingly, there is clear reciprocity between the barrier height and the biological function of the two proteins, suggesting that the marginal barrier of BLA is a product of natural selection. Electrostatic surface interactions thus emerge as a mechanism for the modulation of folding barriers in response to special functional requirements within a given structural fold.

A protocol to study bacteriophage adaptation to new hosts.

A general protocol for the experimental assessment of bacteriophage adaptation to new hosts is described. We use as a model system the lytic phage T7 and an engineered E. coli strain modified to hamper the recruitment of a known proviral factor. Our protocol includes steps of phage amplification, plaque and liquid lysis assays, and DNA extraction for next-generation sequencing of the viral genome over several rounds of laboratory evolution thus allowing the investigation of the sequence determinants of viral adaptation. For complete information on the generation and use of this protocol, please refer to Luzon-Hidalgo et al. (2021).

Combining Ancestral Reconstruction with Folding-Landscape Simulations to Engineer Heterologous Protein Expression.

Obligate symbionts typically exhibit high evolutionary rates. Consequently, their proteins may differ considerably from their modern and ancestral homologs in terms of both sequence and properties, thus providing excellent models to study protein evolution. Also, obligate symbionts are challenging to culture in the lab and proteins from uncultured organisms must be produced in heterologous hosts using recombinant DNA technology. Obligate symbionts thus replicate a fundamental scenario of metagenomics studies aimed at the functional characterization and biotechnological exploitation of proteins from the bacteria in soil. Here, we use the thioredoxin from Candidatus Photodesmus katoptron, an uncultured symbiont of flashlight fish, to explore evolutionary and engineering aspects of protein folding in heterologous hosts. The symbiont protein is a standard thioredoxin in terms of 3D-structure, stability and redox activity. However, its folding outside the original host is severely impaired, as shown by a very slow refolding in vitro and an inefficient expression in E. coli that leads mostly to insoluble protein. By contrast, resurrected Precambrian thioredoxins express efficiently in E. coli, plausibly reflecting an ancient adaptation to unassisted folding. We have used a statistical-mechanical model of the folding landscape to guide back-to-ancestor engineering of the symbiont protein. Remarkably, we find that the efficiency of heterologous expression correlates with the in vitro (i.e., unassisted) folding rate and that the ancestral expression efficiency can be achieved with only 1-2 back-to-ancestor replacements. These results demonstrate a minimal-perturbation, sequence-engineering approach to rescue inefficient heterologous expression which may potentially be useful in metagenomics efforts targeting recent adaptations.

Evidence for a role of phenotypic mutations in virus adaptation.

Viruses interact extensively with the host molecular machinery, but the underlying mechanisms are poorly understood. Bacteriophage T7 recruits the small protein thioredoxin of the Escherichia coli host as an essential processivity factor for the viral DNA polymerase. We challenged the phage to propagate in a host in which thioredoxin had been extensively modified to hamper its recruitment. The virus adapted to the engineered host without losing the capability to propagate in the original host, but no genetic mutations were fixed in the thioredoxin binding domain of the viral DNA polymerase. Virus adaptation correlated with mutations in the viral RNA polymerase, supporting that promiscuous thioredoxin recruitment was enabled by phenotypic mutations caused by transcription errors. These results point to a mechanism of virus adaptation that may play a role in cross-species transmission. We propose that phenotypic mutations may generally contribute to the capability of viruses to evade antiviral strategies.

Heme-binding enables allosteric modulation in an ancient TIM-barrel glycosidase.

Glycosidases are phylogenetically widely distributed enzymes that are crucial for the cleavage of glycosidic bonds. Here, we present the exceptional properties of a putative ancestor of bacterial and eukaryotic family-1 glycosidases. The ancestral protein shares the TIM-barrel fold with its modern descendants but displays large regions with greatly enhanced conformational flexibility. Yet, the barrel core remains comparatively rigid and the ancestral glycosidase activity is stable, with an optimum temperature within the experimental range for thermophilic family-1 glycosidases. None of the ∼5500 reported crystallographic structures of ∼1400 modern glycosidases show a bound porphyrin. Remarkably, the ancestral glycosidase binds heme tightly and stoichiometrically at a well-defined buried site. Heme binding rigidifies this TIM-barrel and allosterically enhances catalysis. Our work demonstrates the capability of ancestral protein reconstructions to reveal valuable but unexpected biomolecular features when sampling distant sequence space. The potential of the ancestral glycosidase as a scaffold for custom catalysis and biosensor engineering is discussed.

Proteolytic scanning calorimetry: a novel methodology that probes the fundamental features of protein kinetic stability.

We introduce proteolytic scanning calorimetry, a modification of the differential scanning calorimetry approach to the determination of protein stability in which a proteolytic enzyme (thermolysin) is used to mimic a harsh environment. This methodology allows the straightforward calculation of the rate of irreversible denaturation as a function of temperature and concentration of proteolytic enzyme and, as a result, has the potential to probe efficiently the fundamental biophysical features of protein kinetic stability. In the particular case of Escherichia coli thioredoxin (used as an illustrative example in this article), we find that the rate of irreversible denaturation is determined by 1), the global unfolding mechanism at low thermolysin concentrations, indicating that thermodynamic stability may contribute directly to the kinetic stability of thioredoxin under moderately harsh conditions and 2), the rate of unfolding at high thermolysin concentrations, indicating that the free-energy barrier for unfolding may act as a safety mechanism that ensures significant kinetic stability, even in very harsh environments. This thioredoxin picture, however, is by no means expected to be general and different proteins may show different patterns of kinetic stabilization. Proteolytic scanning calorimetry is particularly well-suited to probe this diversity at a fundamental biophysical level.

Engineering protein assemblies with allosteric control via monomer fold-switching.

The macromolecular machines of life use allosteric control to self-assemble, dissociate and change shape in response to signals. Despite enormous interest, the design of nanoscale allosteric assemblies has proven tremendously challenging. Here we present a proof of concept of allosteric assembly in which an engineered fold switch on the protein monomer triggers or blocks assembly. Our design is based on the hyper-stable, naturally monomeric protein CI2, a paradigm of simple two-state folding, and the toroidal arrangement with 6-fold symmetry that it only adopts in crystalline form. We engineer CI2 to enable a switch between the native and an alternate, latent fold that self-assembles onto hexagonal toroidal particles by exposing a favorable inter-monomer interface. The assembly is controlled on demand via the competing effects of temperature and a designed short peptide. These findings unveil a remarkable potential for structural metamorphosis in proteins and demonstrate key principles for engineering protein-based nanomachinery.

Beyond Lumry-Eyring: an unexpected pattern of operational reversibility/irreversibility in protein denaturation.

We have found that, contrary to naïve intuition, the degree of operational reversibility in the thermal denaturation of lipase from Thermomyces lanuginosa (an important industrial enzyme) in urea solutions is maximum when the protein is heated several degrees above the end of the temperature-induced denaturation transition. Upon cooling to room temperature, the protein seems to reach a state with enzymatic activity similar to that of the initial native state, but with higher denaturation temperature and radically different behavior in terms of susceptibility to irreversible denaturation. These results show that patterns of operational reversibility/irreversibility in protein denaturation may be more complex than the often-taken-for-granted, two-situation classification (reversible vs. irreversible). Furthermore, they are consistent with the possibility of existence of different native or native-like states separated by high kinetic barriers under native conditions and they suggest experimental procedures to reach and study such "alternative" native states.

Natural selection for kinetic stability is a likely origin of correlations between mutational effects on protein energetics and frequencies of amino acid occurrences in sequence alignments.

It appears plausible that natural selection constrains, to some extent at least, the stability in many natural proteins. If, during protein evolution, stability fluctuates within a comparatively narrow range, then mutations are expected to be fixed with frequencies that reflect mutational effects on stability. Indeed, we recently reported a robust correlation between the effect of 27 conservative mutations on the thermodynamic stability (unfolding free energy) of Escherichia coli thioredoxin and the frequencies of residues occurrences in sequence alignments. We show here that this correlation likely implies a lower limit to thermodynamic stability of only a few kJ/mol below the unfolding free energy of the wild-type (WT) protein. We suggest, therefore, that the correlation does not reflect natural selection of thermodynamic stability by itself, but of some other factor which is linked to thermodynamic stability for the mutations under study. We propose that this other factor is the kinetic stability of thioredoxin in vivo, since( i) kinetic stability relates to irreversible denaturation, (ii) the rate of irreversible denaturation in a crowded cellular environment (or in a harsh extracellular environment) is probably determined by the rate of unfolding, and (iii) the half-life for unfolding changes in an exponential manner with activation free energy and, consequently, comparatively small free energy effects can have deleterious consequences for kinetic stability. This proposal is supported by the results of a kinetic study of the WT form and the 27 single-mutant variants of E. coli thioredoxin based on the global analyses of chevron plots and equilibrium unfolding profiles determined from double-jump unfolding assays. This kinetic study suggests, furthermore, one of the factors that may contribute to the high activation free energy for unfolding in thioredoxin (required for kinetic stability), namely the energetic optimization of native-state residue environments in regions, which become disrupted in the transition state for unfolding.

Using Resurrected Ancestral Proviral Proteins to Engineer Virus Resistance.

Proviral factors are host proteins hijacked by viruses for processes essential for virus propagation such as cellular entry and replication. Pathogens and their hosts co-evolve. It follows that replacing a proviral factor with a functional ancestral form of the same protein could prevent viral propagation without fatally compromising organismal fitness. Here, we provide proof of concept of this notion. Thioredoxins serve as general oxidoreductases in all known cells. We report that several laboratory resurrections of Precambrian thioredoxins display substantial levels of functionality within Escherichia coli. Unlike E. coli thioredoxin, however, these ancestral thioredoxins are not efficiently recruited by the bacteriophage T7 for its replisome and therefore prevent phage propagation in E. coli. These results suggest an approach to the engineering of virus resistance. Diseases caused by viruses may have a devastating effect in agriculture. We discuss how the suggested approach could be applied to the engineering of plant virus resistance.

A simple tool to explore the distance distribution of correlated mutations in proteins.

The analysis of correlated mutations in protein sequence alignments is of considerable interest, since it may provide useful energetic and even structural information (ideally, residue contacts). However, a number of recent experimental studies support the existence of long-distance communication in proteins, a fact that may lead to correlation between distant residues. We introduce in this work a simple statistical procedure to describe the relation structure--alignments on the basis of the residue--residue distance dependence of the number of residue couples over given thresholds of a correlation measure (such as a covariance value). This procedure may lead to clear pictures of the distance distribution of correlated mutations and may provide a simple but efficient tool to explore the different structural features that are reflected in the sequence alignments.

Modern Analysis of Protein Folding by Differential Scanning Calorimetry.

Differential scanning calorimetry (DSC) is a very powerful tool for investigating protein folding and stability because its experimental output reflects the energetics of all conformations that become minimally populated during thermal unfolding. Accordingly, analysis of DSC experiments with simple thermodynamic models has been key for developing our understanding of protein stability during the past five decades. The discovery of ultrafast folding proteins, which have naturally broad conformational ensembles and minimally cooperative unfolding, opens the possibility of probing the complete folding free energy landscape, including those conformations at the top of the barrier to folding, via DSC. Exploiting this opportunity requires high-quality experiments and the implementation of novel analytical methods based on statistical mechanics. Here, we cover the recent exciting developments in this front, describing the new analytical procedures in detail as well as providing experimental guidelines for performing such analysis.