Biochemical and structural studies of malate synthase from Mycobacterium tuberculosis.

Article de synthese sur l'isocitrate lyase, isolement, comparaison des techniques de purification, etude de sa structure, de sa specificite, de sa stabilite et analyse cinetique

Comparative structure, function and regulation of isocitrate lyase, an important assimilatory enzyme.

The arbuscular mycorrhizal (AM) symbiosis is responsible for huge fluxes of photosynthetically fixed carbon from plants to the soil. Lipid, which is the dominant form of stored carbon in the fungal partner and which fuels spore germination, is made by the fungus within the root and is exported to the extraradical mycelium. We tested the hypothesis that the glyoxylate cycle is central to the flow of carbon in the AM symbiosis. The results of (13)C labeling of germinating spores and extraradical mycelium with (13)C(2)-acetate and (13)C(2)-glycerol and analysis by nuclear magnetic resonance spectroscopy indicate that there are very substantial fluxes through the glyoxylate cycle in the fungal partner. Full-length sequences obtained by polymerase chain reaction from a cDNA library from germinating spores of the AM fungus Glomus intraradices showed strong homology to gene sequences for isocitrate lyase and malate synthase from plants and other fungal species. Quantitative real-time polymerase chain reaction measurements show that these genes are expressed at significant levels during the symbiosis. Glyoxysome-like bodies were observed by electron microscopy in fungal structures where the glyoxylate cycle is expected to be active, which is consistent with the presence in both enzyme sequences of motifs associated with glyoxysomal targeting. We also identified among several hundred expressed sequence tags several enzymes of primary metabolism whose expression during spore germination is consistent with previous labeling studies and with fluxes into and out of the glyoxylate cycle.

The Glyoxylate Cycle in an Arbuscular Mycorrhizal Fungus. Carbon Flux and Gene Expression

1.	
1. The activities of the enzymes of the glyoxylate cycle and of the β-oxidation pathway were compared in the dauer larva and the adult stages of C. elegans.

2.	
2. The relative rates of NADP isocitrate dehydrogenase (TCA cycle) and isocitrate lyase (glyoxylate cycle) in adult and dauer larvae indicate the increased importance of the glyoxylate cycle in dauer larvae.

3.	
3. High levels of the β-oxidation enzymes acyl-CoA dehydrogenase, enoyl-CoA hydratase and acetyl-CoA acetyltransferase were observed in both adult and dauer fractions, the relative levels of activity being lower in the dauers.

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4. These data demonstrate the importance of lipid stores as an energy reserve for the non-feeding dauer larva.

Intermediary metabolism in the dauer larva of the nematode Caenorhabditis elegans—II. The glyoxylate cycle and fatty-acid oxidation

Malate synthase, an enzyme of the glyoxylate pathway, catalyzes the condensation and subsequent hydrolysis of acetyl-coenzyme A (acetyl-CoA) and glyoxylate to form malate and CoA. In the present study, we present the 1.95 A–resolution crystal structure of Escherichia coli malate synthase isoform G in complex with magnesium, pyruvate, and acetyl-CoA, and we compare it with previously determined structures of substrate and product complexes. The results reveal how the enzyme recognizes and activates the substrate acetyl-CoA, as well as conformational changes associated with substrate binding, which may be important for catalysis. On the basis of these results and mutagenesis of active site residues, Asp 631 and Arg 338 are proposed to act in concert to form the enolate anion of acetyl-CoA in the rate-limiting step. The highly conserved Cys 617, which is immediately adjacent to the presumed catalytic base Asp 631, appears to be oxidized to cysteine-sulfenic acid. This can explain earlier observations of the susceptibility of the enzyme to inactivation and aggregation upon X-ray irradiation and indicates that cysteine oxidation may play a role in redox regulation of malate synthase activity in vivo. There is mounting evidence that enzymes of the glyoxylate pathway are virulence factors in several pathogenic organisms, notably Mycobacterium tuberculosis and Candida albicans. The results described in this study add insight into the mechanism of catalysis and may be useful for the design of inhibitory compounds as possible antimicrobial agents.

Structure of the Escherichia coli malate synthase G:pyruvate:acetyl-coenzyme A abortive ternary complex at 1.95 A resolution.

Comparative biochemistry of the glyoxylate cycle

Metals are traditionally considered hard matter. However, it is well known that their atomic lattices may become dynamic and undergo reconfigurations even well below the melting temperature. The innate atomic dynamics of metals is directly related to their bulk and surface properties. Understanding their complex structural dynamics is, thus, important for many applications but is not easy. Here, we report deep-potential molecular dynamics simulations allowing to resolve at an atomic resolution the complex dynamics of various types of copper (Cu) surfaces, used as an example, near the Hüttig (∼1/3 of melting) temperature. The development of deep neural network potential trained on density functional theory calculations provides a dynamically accurate force field that we use to simulate large atomistic models of different Cu surface types. A combination of high-dimensional structural descriptors and unsupervized machine learning allows identifying and tracking all the atomic environments (AEs) emerging in the surfaces at finite temperatures. We can directly observe how AEs that are non-native in a specific (ideal) surface, but that are, instead, typical of other surface types, continuously emerge/disappear in that surface in relevant regimes in dynamic equilibrium with the native ones. Our analyses allow estimating the lifetime of all the AEs populating these Cu surfaces and to reconstruct their dynamic interconversions networks. This reveals the elusive identity of these metal surfaces, which preserve their identity only in part and in part transform into something else under relevant conditions. This also proposes a concept of "statistical identity" for metal surfaces, which is key to understanding their behaviors and properties.

https://aip.scitation.org/doi/pdf/10.1063/5.0139010

Innate dynamics and identity crisis of a metal surface unveiled by machine learning of atomic environments.

Spatial confinement is widely employed by nature to attain unique efficiency in controlling chemical reactions. Notable examples are enzymes, which selectively bind reactants and exquisitely regulate their conversion into products. In an attempt to mimic natural catalytic systems, supramolecular metal–organic cages capable of encapsulating guests in their cavity and of controlling/accelerating chemical reactions under confinement are attracting increasing interest. However, the complex nature of these systems, where reactants/products continuously exchange in-and-out of the host, makes it often difficult to elucidate the factors controlling the reactivity in dynamic regimes. As a case study, here we focus on a coordination cage that can encapsulate amide guests and enhance their hydrolysis by favoring their mechanical twisting towards reactive molecular configurations under confinement. We designed an advanced multiscale simulation approach that allows us to reconstruct the reactivity in such host–guest systems in dynamic regimes. In this way, we can characterize amide encapsulation/expulsion in/out of the cage cavity (thermodynamics and kinetics), coupling such host–guest dynamic equilibrium with characteristic hydrolysis reaction constants. All computed kinetic/thermodynamic data are then combined, obtaining a statistical estimation of reaction acceleration in the host–guest system that is found in optimal agreement with the available experimental trends. This shows how, to understand the key factors controlling accelerations/variations in the reaction under confinement, it is necessary to take into account all dynamic processes that occur as intimately entangled in such host–guest systems. This also provides us with a flexible computational framework, useful to build structure–dynamics–property relationships for a variety of reactive host–guest systems.

/pdf/reconstructing-reactivity-in-dynamic-host-guest-systems-at-jles0jd4.pdf

Reconstructing reactivity in dynamic host–guest systems at atomistic resolution: amide hydrolysis under confinement in the cavity of a coordination cage

M. Cioni

Papers

Comparative biochemistry of the glyoxylate cycle

Innate dynamics and identity crisis of a metal surface unveiled by machine learning of atomic environments.

Reconstructing reactivity in dynamic host–guest systems at atomistic resolution: amide hydrolysis under confinement in the cavity of a coordination cage