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. 2011 May;18(5):592-6.
doi: 10.1038/nsmb.2020. Epub 2011 Apr 3.

Single-molecule paleoenzymology probes the chemistry of resurrected enzymes

Affiliations

Single-molecule paleoenzymology probes the chemistry of resurrected enzymes

Raul Perez-Jimenez et al. Nat Struct Mol Biol. 2011 May.

Abstract

It is possible to travel back in time at the molecular level by reconstructing proteins from extinct organisms. Here we report the reconstruction, based on sequence predicted by phylogenetic analysis, of seven Precambrian thioredoxin enzymes (Trx) dating back between ~1.4 and ~4 billion years (Gyr). The reconstructed enzymes are up to 32 °C more stable than modern enzymes, and the oldest show markedly higher activity than extant ones at pH 5. We probed the mechanisms of reduction of these enzymes using single-molecule force spectroscopy. From the force dependency of the rate of reduction of an engineered substrate, we conclude that ancient Trxs use chemical mechanisms of reduction similar to those of modern enzymes. Although Trx enzymes have maintained their reductase chemistry unchanged, they have adapted over 4 Gyr to the changes in temperature and ocean acidity that characterize the evolution of the global environment from ancient to modern Earth.

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Figures

Fig. 1
Fig. 1. Phylogenetic analysis of Trx enzymes and ancestral sequence reconstruction
(a) Schematic phylogenetic tree showing the geological time in which different extinct organisms lived, i.e., last bacterial common ancestor (LBCA); last archaeal common ancestor (LACA); archaea/eukaryota common ancestor (AECA) and last eukaryotic common ancestor (LECA). Other internal nodes are: the last common ancestor of cyanobacterial and deinococcus/thermus groups (LPBCA), the last common ancestor of γ-proteobacteria (LGPCA), and the last common ancestor of animals and fungi (LAFCA). The dashed lines represent further bifurcations. Divergence times are compiled from multiple sources and are summarized in the Timetree of Life. The figure indicated the global environment; although both aerobic and anaerobic organisms are found in modern environments. (b) Posterior probability distribution of the inferred amino acids across 106 sites for the interested internal nodes. The inferred amino acid at each site for the interested internal node is the residue with the highest posterior probability. (c) Denaturation temperatures (Tm) vs. geological time for ancestral Trx enzymes. Modern E. coli and Human Trx enzymes are also indicated. The dashed line represents a lineal fit to the data. The inset shows experimental DSC thermograms for E. coli Trx and LBCA Trx. The instrumental uncertainty of DSC measurements is < 0.5 °C.
Fig. 2
Fig. 2. Single-molecule disulfide reduction assay
(a) Schematic representation of the singe-molecule disulfide reduction assay. A first pulse of force rapidly unfolds the I27G32C–A75C domains (11 nm step). When the disulfide bond is exposed to the solvent a single Trx molecule can reduce it (14 nm step) (b) Experimental force-clamp trace showing single disulfide reductions of a (I27G32C–A75C)8 polyprotein. The unfolding pulse was set at 185 pN for 0.2 s and the test-pulse force at 500 pN. (c) Probability of reduction (Pred(t)) resulted from summing and normalizing the reduction test pulse at different forces for AECA Trx (3.5 μM). (d) Force-dependency of disulfide reduction by AECA Trx; human Trx is also shown for comparison. Both Trx enzymes show a similar pattern: a negative force-dependency of the reduction rate, from 30–200 pN, consistent with a Michalis-Menten mechanisms and a force-independent mechanism, from 200 pN and up, described by an electron transfer reaction. Notice the higher activity for AECA Trx (3.5 μM for AECA Trx vs. 10 μM for human TRX). The lines represent fittings to the kinetic model (see methods). The error bars are given by the s.e.m. obtained using the bootstrap method.
Fig. 3
Fig. 3. Force-dependence of disulfide reduction by ancestral Trx enzymes
The reduction rate at a given force is obtained by summing, averaging and fitting to a single exponential numerous traces (15–80) like the one shown in Fig. 2b. The solid lines are fitting to the kinetic model. The grey circles and dashed lines represent the rate vs. force dependence for modern Trxs: (c) Pea Trxm from chloroplast, (d) P. falciparum Trx, (a,e) E. coli Trx and (f) Human Trx (all extracted from ref.16). These modern Trxs are descendants of the ancestral Trxs in the same plot. The error bars are given by the s.e.m. obtained using the bootstrap method.
Fig. 4
Fig. 4. Rate constants of disulfide bond reduction at pH 5
(a) A high activity for AECA (squares) and LACA (circles) Trxs can be observed at pH 5 when the substrate is pulled at low forces (50–150 pN). LBCA Trx (triangles) shows similar activity than that at pH 7.2 also with a similar trend (Fig. 3a). The solid lines are exponential fit to the experimental data. (b) Rate constants for disulfide reduction by ancestral Trx enzymes are considerably higher than those measured for modern E. coli and human Trx. While thioredoxin from the acidophile Acetobater aceti shows activity at pH 5, enzymes from the thermophilic Sulfolobus tokodaii do not show a detectable rate of reduction at the same pH. All experiments were conducted at a pulling force of 100 pN. The error bars are given by the s.e.m. obtained using the bootstrap method. (c) Activity of ancestral Trxs and modern E. coli Trx measured using DTND as substrate at pH 5 and determined by monitoring spectrophotometrically the formation of TNB at 412 nm. The error bars represent s.d. from three different measurements.

References

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