Mechanisms of Protein Sequence Divergence and Incompatibility
Alignments of orthologous protein sequences convey a complex picture. Some positions are utterly conserved whilst others have diverged to variable degrees. Amongst the latter, many are non-exchangeable between extant sequences. How do functionally critical and highly conserved residues diverge? Why and how did these exchanges become incompatible within contemporary sequences? Our model is phosphoglycerate kinase (PGK), where lysine 219 is an essential active-site residue completely conserved throughout Eukaryota and Bacteria, and serine is found only in archaeal PGKs. Contemporary sequences tested exhibited complete loss of function upon exchanges at 219. However, a directed evolution experiment revealed that two mutations were sufficient for human PGK to become functional with serine at position 219. These two mutations made position 219 permissive not only for serine and lysine, but also to a range of other amino acids seen in archaeal PGKs. The identified trajectories that enabled exchanges at 219 show marked sign epistasis - a relatively small loss of function with respect to one amino acid (lysine) versus a large gain with another (serine, and other amino acids). Our findings support the view that, as theoretically described, the trajectories underlining the divergence of critical positions are dominated by sign epistatic interactions. Such trajectories are an outcome of rare mutational combinations. Nonetheless, as suggested by the laboratory enabled K219S exchange, given enough time and variability in selection levels, even utterly conserved and functionally essential residues may change.
Published in the journal:
. PLoS Genet 9(7): e32767. doi:10.1371/journal.pgen.1003665
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pgen.1003665
Summary
Alignments of orthologous protein sequences convey a complex picture. Some positions are utterly conserved whilst others have diverged to variable degrees. Amongst the latter, many are non-exchangeable between extant sequences. How do functionally critical and highly conserved residues diverge? Why and how did these exchanges become incompatible within contemporary sequences? Our model is phosphoglycerate kinase (PGK), where lysine 219 is an essential active-site residue completely conserved throughout Eukaryota and Bacteria, and serine is found only in archaeal PGKs. Contemporary sequences tested exhibited complete loss of function upon exchanges at 219. However, a directed evolution experiment revealed that two mutations were sufficient for human PGK to become functional with serine at position 219. These two mutations made position 219 permissive not only for serine and lysine, but also to a range of other amino acids seen in archaeal PGKs. The identified trajectories that enabled exchanges at 219 show marked sign epistasis - a relatively small loss of function with respect to one amino acid (lysine) versus a large gain with another (serine, and other amino acids). Our findings support the view that, as theoretically described, the trajectories underlining the divergence of critical positions are dominated by sign epistatic interactions. Such trajectories are an outcome of rare mutational combinations. Nonetheless, as suggested by the laboratory enabled K219S exchange, given enough time and variability in selection levels, even utterly conserved and functionally essential residues may change.
Introduction
Universally-spread proteins suggest a common ancestor dating back to the last universal common ancestor (LUCA), ∼3.5 billion years ago [1]–[3]. They indicate that most positions have drifted from their original state, but many, typically active-site positions, remained unchanged. However, many [4], if not most [5], exchanges between orthologous sequences are incompatible — namely, amino acids that are functional in one sequence can be deleterious in related ones. Thus, as protein sequences evolve, they navigate a rugged fitness landscape formed by a complex network of epistatic interactions [4], [6]–[11]. Computational analysis suggests that this ruggedness distinctly relates to sign epistasis, and not to any other mechanism that could limit divergence (e.g. a large fraction of mutations that are intolerable) [12]. Sign epistasis relates to a qualitative rather than a quantitative effect, namely a mutation that is beneficial within one genetic background but deleterious at another. This form of epistasis results in a very slow yet constant divergence rate, suggesting that protein sequences have not yet reached the limits of their divergence potential [6]. Experimentally, protein sequence divergence and epistasis have been studied [4], [10], [13], [14]. It remains unclear, however, how sequence space is traversed at crucial active-site positions, particularly in positions that have a key functional role and are highly conserved. Similarly, the mechanism(s) leading to incompatibility — i.e., an originally tolerated exchange becoming unacceptable in orthologous sequences, are also unclear.
Our case study regards an ancient substitution that occurred within the active site of the highly ubiquitous phosphoglycerate kinase (PGK). PGK is an essential glycolytic enzyme that catalyzes the interconversion of 1,3-bisphosphoglycerate and ADP to 3-phosphoglycerate and ATP. Its enzymatic activity is directly related to growth and thereby to organismal fitness [15]. PGK can be traced back to LUCA [1], [2], [16] and its evolutionary rate is extremely slow. It is categorized in the 10th percentile of slowly evolving proteins [17]. Indeed, the sequence identity between the human and the archaeon Methanococcus mazei PGKs is 32%, and nearly all active-site positions are entirely conserved in all known PGKs. However, Position 219 comprises an exception. It is lysine in all known bacterial and eukaryotic PGKs, and this lysine was shown to play a critical role in ATP binding and phosphate transfer [18]. The ancestor of all PGKs is also predicted to have had a lysine at position 219. Archaeal PGKs, however, possesses mostly serine or threonine at this position, but never a lysine.
Although a transition from lysine to serine and subsequently to other amino acids had occurred at an early point in PGK's history, this event was singular, as no successive exchanges seem to have occurred within the lysine clade. Indeed, as described below, the K219S exchange renders human and Escherichia coli PGKs non-functional, and the reciprocal S219K replacement in the archaeal M. mazei PGK has the same effect. We aimed at disentangling the incompatibility at PGK's position 219 and thus address the following conundrum. On the one hand, exchanges at numerous other positions erased the trails that had historically enabled to traverse sequence space at this position - the closest archaeal sequences (the serine/threonine clade) and bacterial/eukaryotic sequences (the lysine clade) are separated by 250 amino acid exchanges. Further, the traversing trails are presumed to be intricate and scarce [6]. On the other hand, it is assumed that “functional proteins must form a continuous network which can be traversed by unit mutational steps without passing through nonfunctional intermediates” [19]. Unraveling this network is fundamental to our understanding of molecular evolution.
Results
Sequence divergence at PGK's active-site
As previously shown [20], the phylogenetic tree of 620 diverse PGK sequences largely follows the species tree with a clear separation between the three kingdoms of life (Figure 1). Overall, within kingdoms, conservation is high. For instance, the amino acid identity of human relative to chicken PGK is ∼90%, and ∼60% relative to yeast (Saccharomyces cerevisiae). However, between kingdoms, the average sequence identity drops to approximately 35%. The sequence identity between human and E. coli PGKs, for example, is 38%. The archaeal kingdom is the most diverged one with, on average, ∼30% identity to bacterial or eukaryotic PGKs. Nonetheless, the active-site residues known to play a role in PGK's enzymatic function are conserved throughout, with only two exceptions: positions 219 and 336 (numbering is according to human PGK; Figure S1). All bacteria and eukaryotes have lysine at position 219, as does the inferred ancestor of all PGKs (lysine predicted with 81% posterior probability; data not shown). In contrast, no archaeal PGK has a lysine at position 219, with serine being most abundant (Figure 1). The phylogenetic pattern of position 336 is less consistent. Nonetheless, exchanges in both 219 and 336 are incompatible (see below). Given its clear phylogenetic pattern, and the well-defined catalytic role of lysine 219 in human PGK, we focused on the exchange at position 219. We chose human PGK (thereafter marked as hPGK), rather than that of E. coli, because of the large available body of biochemical and structural data [18], [21]–[24]. Specifically, lysine 219 of hPGK was shown to be directly involved in substrate binding and domain closure upon catalysis [18]. Lysine 219 also contributes to formation of the active site transition state electrostatics [21] (Figure S2).
Construction and characterization of E. coli-Δpgk
An in-vivo selection system for PGK was developed by inactivating E.coli's pgk gene. An E. coli-Δpgk strain is publicly available. This strain was obtained via transposon mutagenesis and screening for loss of ability to grow on glucose as the sole carbon source [25]. However, although this strain exhibited no PGK activity, our sequencing of the pgk open reading frame, and of 200 bps of its flanking regions, revealed no mutations. Previous attempts to obtain a pgk chromosomal deletion in E. coli had failed [26]. We could, however, knock out the pgk gene when the transformed cells were plated on minimal growth media supplemented only with glycerol and succinate. Indeed, a bidirectional pathway such as glycolysis can be circumvented by supplying the metabolites from both ends of the pathway [25]. The resultant Δpgk strain was not only unable to utilize glucose as a carbon source (as the previously reported Δpgk strain [25]), but its growth on glycerol-succinate was completely inhibited when glucose was added at any level beyond 1 µM. The previously reported E. coli-Δpgk therefore confers only a partial phenotype, and the previous failure to obtain a pgk knockout [26] may relate to plating on rich medium.
Incompatibility of serine-lysine exchanges
The human pgk gene was placed within a plasmid dubbed pZA-hPGK under the tight regulation of a tetracycline-inducible promoter. At ≥8 ng/ml of the inducer AHT (anhydrous tetracycline), E. coli-Δpgk cells harboring this plasmid (∼40 copies per cell [27]) grew at the same rate as the parental strain with the endogenous, chromosomal E. coli PGK in glycerol-succinate media with 5 mM glucose. At the range of 0–8 ng/ml AHT, cellular PGK activity levels and growth rates were concomitantly dependent on the inducer's concentration (Figure 2).
When lysine 219 of the plasmid-encoded hPGK was mutated to serine, no growth on glucose containing media was observed (Figure 2). In agreement, a 400-fold decrease in kcat/KM value was measured for the K219S mutant (Table 1, Figure S3). The K219S exchange in E.coli's PGK resulted in a similar effect, namely no growth on media containing ≥1 µM glucose with the mutant expressed from the pZA plasmid (data not shown). The reciprocal replacement, S219K, had a similar effect in the archaeal, M. mazei PGK. Expressed from the pZA plasmid, wild-type M. mazei PGK supported growth on glucose similar to E. coli and human PGK. However, its S219K mutant showed no growth in glucose containing media (data not shown).
Directed evolution of hPGK-serine 219
We sought to identify mutations that could rescue the enzymatic function of hPGK-serine 219 (second-site suppressor mutations). To this end, seven iterative rounds of random mutagenesis and selection were performed to gradually increase the ability of K219S mutated hPGK genes to confer growth on glucose. The gene library was generated by error-prone PCR of the hPGK-serine 219 gene, giving rise to an average of 2.5 mutations per gene. To minimize the chances of serine 219 being reverted to lysine, the serine codon at position 219 was designed to be TCT, whereby all three bases must mutate simultaneously to give lysine. Nonetheless, mutations to lysine and wild-type contaminants still dominated the first and second rounds (appearing in 10 to 20 percent of the surviving clones). Thus, during all rounds, a special cloning protocol was applied to prevent exchanges of the serine at position 219 (see Text S1).
Because hPGK-serine 219 gave no growth on glucose when expressed from the pZA plasmid, we began by over-expressing it from the high copy plasmid pZUC (∼900 copies per cell [28]), thus enabling some growth on glucose supplemented plates (∼1 mm colonies after 72 hours). The selection pressure was gradually strengthened by decreasing the inducer concentration (thus lowering the expression level), decreasing incubation time, and subsequently, by re-cloning the libraries to plasmids of lower copy numbers (Methods, Tables 2 and S1). In each round, 10–20 randomly chosen surviving colonies were isolated and the harbored hPGK genes were sequenced. All surviving colonies were subsequently pooled. The plasmid DNA was isolated and the pgk gene was subjected to further mutagenesis, re-cloning and selection.
By round 5, the sequences of randomly sampled variants indicated near complete convergence with 4–7 substitutions within and around hPGK's active site (the mean being 5.2±1.1 substitutions per gene; the sequence composition of the evolved variants is discussed below). Indeed, no further improvement in growth, or substantial sequence changes, could be observed in the subsequent round. In the seventh round, with the aim of isolating the most active hPGK K219S variants, we conducted random mutagenesis by error-prone PCR with the selected gene pool of round 6 as template, followed by 3 cycles of selection on glucose plates (extracting the plasmid pool, retransforming and plating). Eight of the largest colonies of round 7 were examined. They exhibited growth rates identical to wild-type hPGK, but similar catalytic efficiencies (kcat/KM values; Table 1 and S2) relative to the best variants from round 6. The likely explanation for having improved growth yet identical catalytic efficiency is that surface mutations from basic to acidic residues (lysine to glutamate) were highly abundant in round 7 variants (Figure S4). These led to a reduction in PGK's pI value, thus meeting the conditions of the E. coli cytoplasm (the pI of hPGK is 8.75 [29] whereas the pH of the E. coli cytoplasm is 7.5 [30]). As such, these surface mutations are possibly resulting in improved stability and elevated amounts of soluble protein [31], therefore increasing enzyme dose rather than specifically compensating for the serine-lysine exchange. Such compensatory mutations that increase stability and/or solubility and therefore enzyme doses are commonly observed, e.g. in the clinical emergence of drug resistance [32].
Identifying serine-lysine transition sequences
Variants that represented the sequence trends in each round along the described evolutionary trajectory were characterized (the choice of variants is described in Methods). Since these variants were originally selected in various copy number plasmids, they were all re-cloned to the low copy number pZA plasmid and re-sequenced to confirm their mutational compositions. Cell cultures (Δpgk) harboring the evolved hPGKs were grown in glycerol-succinate media supplemented with 5 mM glucose and 8 ng/ml AHT, such that the growth rates were most sensitive to the enzymatic efficiency of these variants relative to wild-type hPGK (Figure 2). The evolved variants exhibited increasingly higher growth rates that matched the order of their appearance along the trajectory (Figure 3a).
Next, serine 219 was exchanged back to lysine by site-directed mutagenesis of the evolved hPGK variants. The series of evolved hPGK variants exhibited an opposite trend to the one observed with the original serine 219 variants - growth rates gradually decreased with sequential rounds of evolution. The loss of activity with lysine at position 219, however, was mild relative to the gain of activity with serine (Figure 3a). Thus, a zone of relative neutrality with respect to position 219 has been revealed in hPGK's sequence space. These sequences could theoretically facilitate serine-lysine transitions. For example, variants G2-v15 and G4-v4 (G stands for the round number from which the variant was isolated, and v is the variant's sequential number within this round) can accommodate either lysine or serine at position 219 yet exhibit growth rates that are not very far from wild-type. The growth rates of these transition variants in media containing only glucose were lower than in medium containing glucose plus succinate and glycerol (Figure S5). Nonetheless, growth was clearly observed in these variants, with either lysine or serine at 219. In contrast, the K219S mutant of hPGK conferred no growth in any glucose containing media, even when succinate and glycerol comprised the primary carbon source (Figure 3a).
To validate the observed trend in growth rates, these representative variants were purified and assayed in vitro. The kcat/KM values and growth rates were generally correlated (Figure 3b). Most variations related to lower kcat/KM values relative to growth rates (e.g. variant G7-v12), as discussed above, are attributed to surface mutations.
Sequence composition of the serine-lysine transition variants
Two mutations appeared in nearly all the library selected variants from round 4 to round 7: methionine at position 239 exchanged to isoleucine, and glutamate at position 403 to aspartate (Table 1). Indicatively, these mutations appear in nearly all the transition variants - i.e., variants in which both serine and lysine are accommodated with little effect on growth rates (Table S2). Although located away from the active site and ∼9 Å from lysine 219, glutamate 403 plays a role in hPGK's catalytic cycle, and specifically in the inter-domain motions that relate to substrate binding and phosphoryl transfer [21]. Phylogenetically, positions 219 and 403 seem correlated: >98% of sequences that have a lysine at position 219 (535/547) have glutamate at position 403. None of the 72 sequences in the archaeal clade (non-lysine 219) have glutamate at position 403, with alanine being the most frequent amino acid (Figure S6a).
Methionine 239 is in close proximity to lysine 219 (3.5 Å). However, phylogenetically, it is weakly correlated to position 403. Amongst the sequences that have a lysine at position 219, methionine is most frequent (76%; as in human PGK), and the remaining sequences have mostly isoleucine or leucine at position 239 (117 and 14, respectively). Amongst archaeal PGKs, none have a methionine whilst most sequences have a valine (60/73) and the remaining have isoleucine or leucine (Figure S6b).
Sequence wise, the outlier was variant G6-v9 that also exhibited the highest kcat/KM value. Instead of the E403D mutation present in all other transition sequences, it contained the A397V mutation that appeared in 35% of the selected variants of this round (Table 1). However, A397V was purged by the 7th round that was completely dominated by the aforementioned pair of mutations (M239I plus E403D). Indeed, E403D and A397V never appeared together, suggesting they might have a beneficial effect individually but interact with negative epistasis (see below).
The transition sequences are highly permissive at position 219
Archaeal PGKs have not only diverged away from the absolute conservation of lysine at position 219 seen along the bacterial and eukaryote clades, but have also drifted considerably at this position. Archaeal PGKs with serine, but also with threonine, valine, arginine and leucine are found within relatively close phylogenetic proximity (Figure S7). Since the laboratory-evolved transition sequences accepted serine, and were also functional with lysine, we tested whether they might accept additional amino acids at position 219. Thus, a variable NNS codon (N, any nucleotide; S, G or C), that can give rise to any one of the 20 possible amino acids (but only one stop codon) was introduced at position 219, of both the evolved transition variant G4-v4 and wild-type hPGK. The resulting gene libraries were cloned into the pZA plasmid, transformed into Δpgk cells and selected for survival on glucose. The fraction of glucose viable transformants was 26% in the G4-v4 based library and 4% in the wild-type library. Sequencing indicated that all 19 clones from the wild-type library carried lysine at 219. Variant G4-v4, however, accepted serine, lysine and five additional amino acids (Figure 4a).
The observed diversity in G4-v4 showed near-complete overlap with the natural diversity at position 219. The only exceptions were glycine that appeared viable in our selection (with the slowest growth rate; Figure 4b) but does not appear in known natural sequences, and leucine that appears in 5 out of the 73 archaeal PGKs included in the tree, but not in the G4-v4 sequenced clones. Indeed, when artificially introduced at position 219 of variant G4-v4, leucine did not confer any growth with glucose (data not shown).
Dynamics of the mutational trajectories
Can we deduce the order in which mutations that may enable exchanges at key positions such as 219 might occur? Two key mutations underlined the experimental, directed evolution towards the release of position 219 from serine incompatibility: M239I and E403D. To unravel a minimal trajectory that can lead to serine compatibility, the individual and cumulative effects of M239I and E403D were tested at the background of both lysine and serine at 219. The double mutant (M239I and E403D), either with lysine or serine at position 219, exhibited highly similar growth rates, and these were only slightly lower than those exhibited by the evolved transition variant G4-v4 (Figure 5a). The eight possible sequence permutations, including wild-type with either serine or lysine 219, were therefore constructed and tested for their growth rates. Analysis of the growth rates of the eight permutations indicates which trajectories are more likely to occur – these trajectories comprise ‘ridges’ in the genotype-phenotype space, i.e., the three mutational steps that connect the two fitness peaks, serine-219 and lysine-219 PGKs, with a minimal loss of fitness. These hypothetical trajectories indicate three trends (Figure 5b–c).
Firstly, the trajectory unraveled by our directed evolution experiment is underlined by strong sign epistasis. This trajectory can be referred to as a ‘reverse’ trajectory, namely from an extant lysine 219-restricted sequence (e.g. human PGK) to a 219-permissive sequence (the putative ancestral state). As predicted [6], both M239I and E403D, alone and in combination, exhibit a negative fitness effect in the context of lysine 219, but a positive effect when combined with serine 219. Not only does the sign revert, but the magnitude of fitness effects differs as well. However, the fitness gain at the background of serine 219 is ‘infinitely’ higher (from no growth to 0.013 min−1) relative to the loss at a lysine 219 background.
Secondly, the hypothetical ‘forward’ trajectory, i.e., a trajectory that might mimic the divergence of a 219-permissive sequence (the putative ancestral state) into the extant lysine-restricted sequences (e.g. human PGK), shows the same trend of sign epistasis. The mutations at 239 and 403 (to methionine 239 and glutamate 403, in the presumed forward direction) provide a small yet consistent fitness gain in the lysine 219 context (1.4-fold) yet result in a complete fitness loss on the background of serine 219. Indeed, this asymmetric effect is the underlining reason for the serine incompatibility of the extant lysine-219 PGK sequences.
Thirdly, although both mutations, I239M or D403E, contribute individually to serine-incompatibility (the hypothetical ‘forward’ direction), they interact with strong negative epistasis. The combination of both mutations completes the specialization towards lysine 219 and also makes hPGK incompatible to the serine exchange (no growth on glucose is observed with hPGK carrying serine 219).
The above eight permutations were also examined for growth in presence of the A397V mutation that appeared in round 6 and was subsequently removed in round 7 (see ‘sequence composition’ above). This analysis indicated that A397V is inferior to the E403D mutation in increasing the fitness of serine 219 (Figure S8). The combination of A397V and E403D showed very slow growth, that was much slower than that of E403D on its own. Thus, A397A and E403D, that never appeared together in a single variant, interact with negative epistasis. A397V therefore represents an alternative trajectory, albeit a trajectory that does not coincide with the optimal path and enforces a severe loss of fitness upon an exchange of lysine 219 to serine [7].
Discussion
An ancient divergence event at the active site of an essential metabolic enzyme, PGK, provided us with a model for studying protein sequence divergence and incompatibility. The results of our laboratory evolution experiment indicate that as few as two mutations were sufficient to enable an exchange at a critical active site position that seems to have diverged with the archaeal lineage, presumably >3 billion years ago [33]. There are clear caveats associated with this experiment, and with the derived conclusions regarding the ‘fitness’ of individual PGK sequences and mutants. The laboratory conditions do not reproduce the range of environments and challenges that organisms face in the wild. Thus, the fact that under our experimental conditions, the growth rates with wild-type hPGK and its various mutants were similar to the parental strain with the endogenous, E. coli PGK, does not obviously imply the same fitness. Nonetheless, the experiment reveals a dramatic shift, from no growth on glucose in hPGK carrying serine 219, to near-normal laboratory growth upon acquiring the two rescuing mutations. The shift, however, occurred under two constraints.
Firstly, the trajectories enabling this exchange exhibit clear marks of sign epistasis, or indeed, of ‘reciprocal sign epistasis’ [7]- a large gain of function in the exchanged context (serine 219) is necessarily accompanied by a certain loss of fitness with respect to the original one (lysine 219). In other words, the fitness landscape is rugged and comprises two discrete peaks (serine or lysine 219), and all crossings between these peaks are via valleys of lower fitness (Figure 5b) [6]–[12]. However, our results also indicate that the valleys can be readily crossed. The exchanges at positions 219 and 403 are likely to have had a key contribution to the historical crossing, but substitutions at other positions that were not unraveled by our very limited exploration of PGK's sequence space may have further facilitated this crossing. An equally plausible explanation is that the historical crossing was enabled by a temporal relaxation in the selection pressure acting on PGK (Figure 5c). Relaxation may be afforded by an elevation in protein dose. Whereas the transition variant exhibited lower fitness than wild-type under limiting conditions (Figure 5a), this gap disappeared at ≥2-fold inducer level (AHT ≥15 ng/ml; data not shown). In nature, higher protein doses are readily obtained by promoter mutations [10] or by gene duplication [34]. Another enabling factor is a change in the environment, and specifically, alternative carbon sources. PGK is absolutely essential for growth in the presence of glucose, but growth rates of the evolved transition variants are far less compromised with additional carbon sources such as succinate and glycerol (Figure S5). Indeed, even highly essential metabolic processes can be bypassed by evolution [35].
Secondly, the exchange trajectory is highly specific in its sequence composition. Our selections were not bottlenecked and we sequenced a large variety of clones (110 in total). Nonetheless, two mutations, M239I and E403D, appeared in nearly all evolved variants. The mutation A397V comprises an alternative yet a transient solution, as it interacts with strong negative epistasis with the more optimal mutation E403D. There are also a number of other, global suppressor mutations that increase the activity upon exchange to serine, but their effects are relatively minor. Overall, the picture is consistent with the theory presented by Kondrashov et al. [6], and with previous findings regarding adaptive trajectories [10], [14]. That is to say, traversing sequence space at key, highly conserved positions can occur. However, the rate is painstakingly slow, primarily for two reasons: (i) The mutations that enable these key exchanges are highly specific, and thus the likelihood of traversing is low. (ii) Sign epistasis makes the accumulation of these enabling mutations dependent on a relaxation in the selection pressure, i.e., environmental changes or protein dose changes.
As we did not select for gain of function with any other amino acid than serine, the appearance of sequences that permit variability at position 219 was spontaneous, with respect not only to lysine, but to other amino acids as well. It seems that the two transition mutations, M239I and E403D, largely alleviated the enzyme's dependency on lysine, rather than having serine take over its role. Further, there is near-complete overlap between the amino acids tolerated by the evolved variant G4-v4 and those seen in archaeal PGKs (Figure 4). The sequence compositions isolated here, and particularly isoleucine at 239 and glutamate at 403, may therefore reflect the ancestral state with respect to position 219 at the node that separated the lysine-clade from the archaeal one. This node may represent a sub-optimal PGK yet with a unique capability to tolerate a wide range of amino acids at position 219.
Our results also show how specialization towards lysine (and probably towards any other amino acid seen in extant PGKs) erased the ancestral state with respect to an exchange in position 219. Thus, while hPGK may have been reverted to an ancestral state with respect to position 219, this reversion depended on a rare combination of at least two mutations in other sites [36]. The challenge of reverting relates to the fact that the mutations that augment G4-v4's activity with lysine severely compromised activity with serine. This challenge is also manifested in the need to implement a special protocol that blocks the reversion to lysine in the laboratory evolution experiment. Needless to say that such blocks are impossible in natural evolution. Foremost, a strong negative epistatic effect seems to have led to the incompatibility seen in the extant human PGK (Figure 5). Thus, incompatibility may not be the outcome of drift, as in the classical Dobzansky-Muller model for hybrid incompatibility [37], [38]. Rather, incompatibility is the outcome of the evolution towards higher performance with lysine-219, and the highly deleterious effect of the mutations that improve the activity with lysine-219 at the background of serine-219.
From a sequence space point of view, this work reinforces the view that “functional proteins must form a continuous network which can be traversed by unit mutational steps without passing through nonfunctional intermediates” [19]. The experimental approach taken here provides crucial insights in this respect. For example, a lysine-serine exchange cannot occur via a single nucleotide substitution. Thus, an intermediary amino acid must have existed at some stage. Ancestral inference does not reveal possible candidates, as the predicted nodes carry at position 219 either lysine (the LUCA's PGK) or serine (the ancestor of archaeal PGKs). However, the screen for tolerable amino acids at position 219 of the transition variant G4-v4's revealed that the growth rate with arginine exceeded all other amino acids including lysine (Figure 4b). Indeed, arginine does comprise a bridging codon between serine and lysine (Figure S9). Thus, the experiment reveals that arginine is the most probable transition between lysine and serine in the corresponding PGK clades.
From a protein structure-function point of view, our results support a somewhat unorthodox view: some sites are conserved not because a given amino acid is functionally irreplaceable (e.g. lysine 219 of human PGK), but rather because “there has not been enough time to create the right combination of amino acids at other sites to allow them to evolve” [6]. The structural and functional features that underline the exchange at position 219 are unknown at this stage, but the evolutionary basis of this particular exchange seems to have been clarified.
Materials and Methods
Detailed protocols are provided as supplemental methods.
Phylogenetic analysis
PGK sequences were collected by combining three BLAST searches using human, E. coli and M. mazei PGK sequences as queries. Each of the three BLAST searches contained sequences from all three kingdoms of life, suggesting that the searches were exhaustive. Glycerate kinase from Neisseria meningitides was structurally aligned with the PGK sequences to serve as an outgroup, in agreement with the protein fold classification [39]. The sequences were aligned using MUSCLE [40], and ≥98% redundancy was removed using CDHIT [41]. A phylogenetic tree was built using PHYML [42] and the JTT substitution matrix. The tree was visualized with FIGTREE. As observed in a tree of 131 PGK sequences [20], the three kingdoms formed distinct clades. However, the inter-kingdom topology deviates from the species tree [43] whereby the eukaryotic branch diverges from within the bacterial branch with the spirochaetes being the outgroup. The tree and the alignment were further processed by PAML [44] for ancestral sequence prediction using default parameters.
Directed evolution
The pgk knockout strain was constructed using the technique of Datsenko and Wanner [45] with primers PGK_KO_F and PGK_KO_R. A set of plasmids with decreasing copy numbers were constructed by modifying pZA11MCS (EXPRESSYS) as described in Text S1 (Figure S12). To generate the library for the first round of directed evolution, the K219S mutant of hPGK was amplified by error-prone PCR (GeneMorph II Random Mutagenesis Kit; Agilent) at an average of 2.5±2 mutations per gene. The resulting gene library was re-cloned to pZUC (the K219S mutant did not grow on media containing glucose when expressed from the low copy pZA plasmid; Figure 2). The growth upon copy number manipulation correlated with very high protein expression levels (Figure S10). The resulting plasmid library was transformed into Δpgk cells and plated on minimal media agar plates supplemented with 20 mM glucose, kanamycin and ampicillin (selection plates). An aliquot of the transformation reaction was plated on glycerol-succinate plates with both antibiotics to measure the transformation efficiency. The colonies that grew on the selection plates were pooled and the plasmid DNA was isolated. Prior to pooling, 10 to 20 variants were sequenced from randomly picked clones. The hPGK gene was amplified from the plasmid pool by using the special cloning protocol designed to eliminate mutations at position 219 (Figure S11). The PCR product was digested by Nco1 and Not1, purified from gel and subsequently cloned to the appropriate plasmid for the next round of selection. In the 2nd round, gene shuffling was applied to obtain favorable combinations of mutations that accumulated in the 1st round (see Text S1). In later rounds, mutagenesis was achieved via the use of 60 cycles of non-proofreading TAQ polymerase. The subsequent rounds (R2 to R7) were conducted with certain modifications to allow an increase in selection pressure: (a) Use of lower copy plasmids; (b) lower inducer (AHT) concentration in the selection plates; (c) shorter time of incubation of the selection plates. A summary of the selection conditions for all rounds is provided as Table 2.
Characterization of individual variants
Representative variants from the selected libraries were chosen for further analysis. The variants were chosen so they reflect the mutational trend within their round, and order in which mutations fixed in course of the progressing generations from G1 to G7. For instance, the E403D mutation already appeared in 3 out of 9 clones that were sequenced from the first round library, and this mutation was enriched in consecutive rounds. Thus, the chosen variant G1-v5 carried this mutation (Table 1). Conversely, the M239I mutation became dominant (≥30% of the clones) only by the third round, and the combination of both mutations in a single clone represents the general trend in the fourth round library, as represented in variant G4-v4. In round 6, the A397V mutation became enriched (found in 35% of the sequences variants) and appeared to be mutually exclusive from the E403D mutation. Thus, variant G6-v9 was chosen as a representative sequence. We also assumed that mutations that appeared only once in the sequenced variants from all rounds, did not contribute to the enhancement of hPGK- serine 219's activity. Thus, another criterion for choosing variants for analysis was a minimal number of ‘hitchhiking’ mutations. Finally, the growth rates, kinetic parameters and sequence compositions of 12 additional variants are given as Table S2 – these coincide with the variants presented in the main text. The chosen variants were re-cloned to pZA. For each clone, a lysine 219 counterpart was prepared by all-around PCR with primers S219K_F and S219K_R. Mutations M239I and E403D were similarly incorporated (primers listed in Table S3). Plasmids encoding individual hPGK variants were transformed into Δpgk cells and the sequences were revalidated. Single colonies were used to inoculate 2 ml of glycerol-succinate media with kanamycin and ampicillin. The OD600 nm were measured, and fresh glycerol-succinate media supplemented with 5 mM glucose and 8 ng/ml AHT were inoculated with these overnight cultures at the same initial bacterial density (OD600 nm = 0.02). The inoculated media (200 µl) were distributed in random fashion in a 96 well-plate. The plate was incubated at 37°C, and 95% relative humidity, in a rotating incubator (Liconic Instruments, Woburn, MA). Using an automated robotic platform (Evoware II, Tecan) and a multi-well reader (Infinite M200-pro, Tecan) the OD600 nm was measured at 20 min intervals. The growth rate was calculated by plotting the log2 of the OD600 nm against time of incubation, and calculating linear regression values over a window size of 2 hours. The 3 highest rates (ΔOD/Δt values) along the entire growth curve were extracted and averaged. Doubling time was calculated as the reciprocal of the average growth rate [46]. Error bars correspond to standard errors from 8 independent measurements of each variant.
Supporting Information
Zdroje
1. KooninEV (2003) Comparative genomics, minimal gene-sets and the last universal common ancestor. Nat Rev Microbiol 1: 127–136.
2. MirkinBG, FennerTI, GalperinMY, KooninEV (2003) Algorithms for computing parsimonious evolutionary scenarios for genome evolution, the last universal common ancestor and dominance of horizontal gene transfer in the evolution of prokaryotes. BMC Evol Biol 3: 2.
3. RaneaJA, SilleroA, ThorntonJM, OrengoCA (2006) Protein superfamily evolution and the last universal common ancestor (LUCA). J Mol Evol 63: 513–525.
4. LunzerM, GoldingGB, DeanAM (2010) Pervasive cryptic epistasis in molecular evolution. PLoS Genet 6: e1001162.
5. BreenMS, KemenaC, VlasovPK, NotredameC, KondrashovFA (2012) Epistasis as the primary factor in molecular evolution. Nature 490: 535–538.
6. PovolotskayaIS, KondrashovFA (2010) Sequence space and the ongoing expansion of the protein universe. Nature 465: 922–926.
7. KvitekDJ, SherlockG (2011) Reciprocal sign epistasis between frequently experimentally evolved adaptive mutations causes a rugged fitness landscape. PLoS Genet 7: e1002056.
8. SalverdaML, DellusE, GorterFA, DebetsAJ, van der OostJ, et al. (2011) Initial mutations direct alternative pathways of protein evolution. PLoS Genet 7: e1001321.
9. KondrashovAS, SunyaevS, KondrashovFA (2002) Dobzhansky-Muller incompatibilities in protein evolution. Proc Natl Acad Sci U S A 99: 14878–14883.
10. WeinreichDM, DelaneyNF, DepristoMA, HartlDL (2006) Darwinian evolution can follow only very few mutational paths to fitter proteins. Science 312: 111–114.
11. WeinreichDM, WatsonRA, ChaoL (2005) Perspective: Sign epistasis and genetic constraint on evolutionary trajectories. Evolution 59: 1165–1174.
12. KondrashovFA, KondrashovAS (2001) Multidimensional epistasis and the disadvantage of sex. Proc Natl Acad Sci U S A 98: 12089–12092.
13. GloorGB, TyagiG, AbrassartDM, KingstonAJ, FernandesAD, et al. (2010) Functionally compensating coevolving positions are neither homoplasic nor conserved in clades. Mol Biol Evol 27: 1181–1191.
14. LunzerM, MillerSP, FelsheimR, DeanAM (2005) The biochemical architecture of an ancient adaptive landscape. Science 310: 499–501.
15. FraenkelDG (1986) Mutants in glucose metabolism. Annu Rev Biochem 55: 317–337.
16. KooninEV, WolfYI (2010) The common ancestry of life. Biol Direct 5: 64.
17. Toth-PetroczyA, TawfikDS (2011) Slow protein evolutionary rates are dictated by surface-core association. Proc Natl Acad Sci U S A 108: 11151–11156.
18. SzaboJ, VargaA, FlachnerB, KonarevPV, SvergunDI, et al. (2008) Communication between the nucleotide site and the main molecular hinge of 3-phosphoglycerate kinase. Biochemistry 47: 6735–6744.
19. SmithJM (1970) Natural selection and the concept of a protein space. Nature 225: 563–564.
20. PollackJD, LiQ, PearlDK (2005) Taxonomic utility of a phylogenetic analysis of phosphoglycerate kinase proteins of Archaea, Bacteria, and Eukaryota: insights by Bayesian analyses. Mol Phylogenet Evol 35: 420–430.
21. CliffMJ, BowlerMW, VargaA, MarstonJP, SzaboJ, et al. (2010) Transition state analogue structures of human phosphoglycerate kinase establish the importance of charge balance in catalysis. J Am Chem Soc 132: 6507–6516.
22. GondeauC, ChaloinL, LallemandP, RoyB, PerigaudC, et al. (2008) Molecular basis for the lack of enantioselectivity of human 3-phosphoglycerate kinase. Nucleic Acids Res 36: 3620–3629.
23. LallemandP, ChaloinL, RoyB, BarmanT, BowlerMW, et al. (2011) Interaction of human 3-phosphoglycerate kinase with its two substrates: is substrate antagonism a kinetic advantage? J Mol Biol 409: 742–757.
24. ZerradL, MerliA, SchroderGF, VargaA, GraczerE, et al. (2011) A spring-loaded release mechanism regulates domain movement and catalysis in phosphoglycerate kinase. J Biol Chem 286: 14040–14048.
25. IraniMH, MaitraPK (1977) Properties of Escherichia coli mutants deficient in enzymes of glycolysis. J Bacteriol 132: 398–410.
26. BabaT, AraT, HasegawaM, TakaiY, OkumuraY, et al. (2006) Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection. Mol Syst Biol 2: 2006 0008.
27. LeeTS, KrupaRA, ZhangF, HajimoradM, HoltzWJ, et al. (2011) BglBrick vectors and datasheets: A synthetic biology platform for gene expression. J Biol Eng 5: 12.
28. Sambrook J (2001) Molecular Cloning: A laboratory manual. 3rd edition. Cold Spring Harbor: Cold Spring Harbor Laboratory Press.
29. AliM, BrownstoneYS (1976) A study of phosphoglycerate kinase in human erythrocytes. I. Enzyme isolation, purification and assay. Biochim Biophys Acta 445: 74–88.
30. WilksJC, SlonczewskiJL (2007) pH of the cytoplasm and periplasm of Escherichia coli: rapid measurement by green fluorescent protein fluorimetry. J Bacteriol 189: 5601–5607.
31. ShawKL, GrimsleyGR, YakovlevGI, MakarovAA, PaceCN (2001) The effect of net charge on the solubility, activity, and stability of ribonuclease Sa. Protein Sci 10: 1206–1215.
32. SoskineM, TawfikDS (2010) Mutational effects and the evolution of new protein functions. Nat Rev Genet 11: 572–582.
33. SheridanPP, FreemanKH, BrenchleyJE (2003) Estimated Minimal Divergence Times of the Major Bacterial and Archaeal Phyla. Geomicrobiology Journal 20: 1–14.
34. NasvallJ, SunL, RothJR, AnderssonDI (2012) Real-time evolution of new genes by innovation, amplification, and divergence. Science 338: 384–387.
35. BarveA, RodriguesJF, WagnerA (2012) Superessential reactions in metabolic networks. Proc Natl Acad Sci U S A 109: E1121–1130.
36. BridghamJT, OrtlundEA, ThorntonJW (2009) An epistatic ratchet constrains the direction of glucocorticoid receptor evolution. Nature 461: 515–519.
37. DobzhanskyT (1936) Studies on Hybrid Sterility. II. Localization of Sterility Factors in Drosophila Pseudoobscura Hybrids. Genetics 21: 113–135.
38. OrrHA (1995) The population genetics of speciation: the evolution of hybrid incompatibilities. Genetics 139: 1805–1813.
39. AndreevaA, HoworthD, BrennerSE, HubbardTJ, ChothiaC, et al. (2004) SCOP database in 2004: refinements integrate structure and sequence family data. Nucleic Acids Res 32: D226–229.
40. EdgarRC (2004) MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics 5: 113.
41. LiW, GodzikA (2006) Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 22: 1658–1659.
42. GuindonS, GascuelO (2003) A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol 52: 696–704.
43. LetunicI, BorkP (2007) Interactive Tree Of Life (iTOL): an online tool for phylogenetic tree display and annotation. Bioinformatics 23: 127–128.
44. YangZ (2007) PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol 24: 1586–1591.
45. DatsenkoKA, WannerBL (2000) One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A 97: 6640–6645.
46. SassonV, ShachraiI, BrenA, DekelE, AlonU (2012) Mode of regulation and the insulation of bacterial gene expression. Mol Cell 46: 399–407.
47. SzilagyiAN, VasM (1998) Anion activation of 3-phosphoglycerate kinase requires domain closure. Biochemistry 37: 13910.
Štítky
Genetika Reprodukční medicínaČlánek vyšel v časopise
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