Anthony J. Wilkinson

AAA+ superfamily ATPases: common structure–diverse function

The AAA+ superfamily of ATPases, which contain a homologous ATPase module, are found in all kingdoms of living organisms where they participate in diverse cellular processes including membrane fusion, proteolysis and DNA replication. Recent structural studies have revealed that they usually form ring‐shaped oligomers, which are crucial for their ATPase activities and mechanisms of action. These ring‐shaped oligomeric complexes are versatile in their mode of action, which collectively seem to involve some form of disruption of molecular or macromolecular structure; unfolding of proteins, disassembly of protein complexes, unwinding of DNA, or alteration of the state of DNA–protein complexes. Thus, the AAA+ proteins represent a novel type of molecular chaperone. Comparative analyses have also revealed significant similarities and differences in structure and molecular mechanism between AAA+ ATPases and other ring‐shaped ATPases.

The use of double mutants to detect structural changes in the active site of the tyrosyl-tRNA synthetase (Bacillus stearothermophilus)

In a previous study, a mutant of tyrosyl-tRNA synthetase in which a threonine residue (Thr51) was converted to proline dramatically improved the affinity of the enzyme for its ATP substrate. How does Pro51 improve the enzymes affinity for ATP? A priori, Pro51 might interact directly with the ATP, or it might distort the polypeptide backbone and thereby force new or improved contacts elsewhere from the enzyme to ATP. By making mutants of the Pro51 enzyme at two residues that make hydrogen bonds to the ATP substrate, we show that Pro51 greatly improves the strength of one of these contacts. Thus the propagation of a structural change in an enzyme induced by mutation may be detected by the introduction of further mutations.

Condition-Dependent Transcriptome Reveals High-Level Regulatory Architecture in Bacillus subtilis

Outside In Acquisition and analysis of large data sets promises to move us toward a greater understanding of the mechanisms by which biological systems are dynamically regulated to respond to external cues. Now, two papers explore the responses of a bacterium to changing nutritional conditions (see the Perspective by Chalancon et al.). Nicolas et al. (p. 1103) measured transcriptional regulation for more than 100 different conditions. Greater amounts of antisense RNA were generated than expected and appeared to be produced by alternative RNA polymerase targeting subunits called sigma factors. One transition, from malate to glucose as the primary nutrient, was studied in more detail by Buescher et al. (p. 1099) who monitored RNA abundance, promoter activity in live cells, protein abundance, and absolute concentrations of intracellular and extracellular metabolites. In this case, the bacteria responded rapidly and largely without transcriptional changes to life on malate, but only slowly adapted to use glucose, a shift that required changes in nearly half the transcription network. These data offer an initial understanding of why certain regulatory strategies may be favored during evolution of dynamic control systems. A horizontal analysis reveals the breadth of genes turned on and off as nutrients change. Bacteria adapt to environmental stimuli by adjusting their transcriptomes in a complex manner, the full potential of which has yet to be established for any individual bacterial species. Here, we report the transcriptomes of Bacillus subtilis exposed to a wide range of environmental and nutritional conditions that the organism might encounter in nature. We comprehensively mapped transcription units (TUs) and grouped 2935 promoters into regulons controlled by various RNA polymerase sigma factors, accounting for ~66% of the observed variance in transcriptional activity. This global classification of promoters and detailed description of TUs revealed that a large proportion of the detected antisense RNAs arose from potentially spurious transcription initiation by alternative sigma factors and from imperfect control of transcription termination.

Global Network Reorganization During Dynamic Adaptations of Bacillus subtilis Metabolism

Outside In Acquisition and analysis of large data sets promises to move us toward a greater understanding of the mechanisms by which biological systems are dynamically regulated to respond to external cues. Now, two papers explore the responses of a bacterium to changing nutritional conditions (see the Perspective by Chalancon et al.). Nicolas et al. (p. 1103) measured transcriptional regulation for more than 100 different conditions. Greater amounts of antisense RNA were generated than expected and appeared to be produced by alternative RNA polymerase targeting subunits called sigma factors. One transition, from malate to glucose as the primary nutrient, was studied in more detail by Buescher et al. (p. 1099) who monitored RNA abundance, promoter activity in live cells, protein abundance, and absolute concentrations of intracellular and extracellular metabolites. In this case, the bacteria responded rapidly and largely without transcriptional changes to life on malate, but only slowly adapted to use glucose, a shift that required changes in nearly half the transcription network. These data offer an initial understanding of why certain regulatory strategies may be favored during evolution of dynamic control systems. A vertical analysis reveals that a simple switch of one food for another evokes changes at many levels. Adaptation of cells to environmental changes requires dynamic interactions between metabolic and regulatory networks, but studies typically address only one or a few layers of regulation. For nutritional shifts between two preferred carbon sources of Bacillus subtilis, we combined statistical and model-based data analyses of dynamic transcript, protein, and metabolite abundances and promoter activities. Adaptation to malate was rapid and primarily controlled posttranscriptionally compared with the slow, mainly transcriptionally controlled adaptation to glucose that entailed nearly half of the known transcription regulation network. Interactions across multiple levels of regulation were involved in adaptive changes that could also be achieved by controlling single genes. Our analysis suggests that global trade-offs and evolutionary constraints provide incentives to favor complex control programs.

N-myristoyltransferase inhibitors as new leads to treat sleeping sickness.

African sleeping sickness or human African trypanosomiasis, caused by Trypanosoma brucei spp., is responsible for ∼30,000 deaths each year. Available treatments for this disease are poor, with unacceptable efficacy and safety profiles, particularly in the late stage of the disease when the parasite has infected the central nervous system. Here we report the validation of a molecular target and the discovery of associated lead compounds with the potential to address this lack of suitable treatments. Inhibition of this target—T. brucei N-myristoyltransferase—leads to rapid killing of trypanosomes both in vitro and in vivo and cures trypanosomiasis in mice. These high-affinity inhibitors bind into the peptide substrate pocket of the enzyme and inhibit protein N-myristoylation in trypanosomes. The compounds identified have promising pharmaceutical properties and represent an opportunity to develop oral drugs to treat this devastating disease. Our studies validate T. brucei N-myristoyltransferase as a promising therapeutic target for human African trypanosomiasis.

Dissecting the Role of a Conserved Motif (the Second Region of Homology) in the AAA Family of ATPases SITE-DIRECTED MUTAGENESIS OF THE ATP-DEPENDENT PROTEASE FtsH

Escherichia coli FtsH is an ATP-dependent protease that belongs to the AAA protein family. The second region of homology (SRH) is a highly conserved motif among AAA family members and distinguishes these proteins in part from the wider family of Walker-type ATPases. Despite its conservation across the AAA family of proteins, very little is known concerning the function of the SRH. To address this question, we introduced point mutations systematically into the SRH of FtsH and studied the activities of the mutant proteins. Highly conserved amino acid residues within the SRH were found to be critical for the function of FtsH, with mutations at these positions leading to decreased or abolished ATPase activity. The effects of the mutations on the protease activity of FtsH correlated strikingly with their effects on the ATPase activity. The ATPase-deficient SRH mutants underwent an ATP-induced conformational change similar to wild type FtsH, suggesting an important role for the SRH in ATP hydrolysis but not ATP binding. Analysis of the data in the light of the crystal structure of the hexamerization domain ofN-ethylmaleimide-sensitive fusion protein suggests a plausible mechanism of ATP hydrolysis by the AAA ATPases, which invokes an intermolecular catalytic role for the SRH.

The crystal structure of the AAA domain of the ATP-dependent protease FtsH of Escherichia coli at 1.5 Å resolution

Eubacteria and eukaryotic cellular organelles have membrane-bound ATP-dependent proteases, which degrade misassembled membrane protein complexes and play a vital role in membrane quality control. The bacterial protease FtsH also degrades an interesting subset of cytoplasmic regulatory proteins, including sigma(32), LpxC, and lambda CII. The crystal structure of the ATPase module of FtsH has been solved, revealing an alpha/beta nucleotide binding domain connected to a four-helix bundle, similar to the AAA modules of proteins involved in DNA replication and membrane fusion. A sulfate anion in the ATP binding pocket mimics the beta-phosphate group of an adenine nucleotide. A hexamer form of FtsH has been modeled, providing insights into possible modes of nucleotide binding and intersubunit catalysis.

Protein engineering 20 years on.

It is 20 years since site-directed mutagenesis was first used to modify the active site of an enzyme of known structure and mechanism. Since then, this method has contributed far-reaching insights into catalysis, specificity, stability and folding of proteins. Engineered proteins are now being used in industry and for the improved treatment of human disease.

The structure of the cofactor-binding fragment of the LysR family member, CysB: a familiar fold with a surprising subunit arrangement

BACKGROUND CysB is a tetrameric protein of identical subunits (M(r) = 36,000) which controls the expression of genes associated with the biosynthesis of cysteine in bacteria. CysB is both an activator and a repressor of transcription whose activity is responsive to the inducer N-acetylserine; thiosulphate and sulphide act as anti-inducers. CysB is a member of the LysR family of prokaryotic transcriptional regulatory proteins which share sequence similarities over approximately 280 residues including a putative helix-turn-helix DNA-binding motif at their N terminus. The aims of the present study were to explore further the complex molecular biology and curious ligand binding properties of CysB and to provide structural insights into the LysR family of proteins. RESULTS The crystal structure of a dimeric chymotryptic fragment of Klebsiella aerogenes CysB comprising residues 88-324, has been solved by multiple isomorphous replacement and multi-crystal averaging and refined against data extending to 1.8 A resolution. The protein comprises two alpha/beta domains (I and II) connected by two short segments of polypeptide. The two domains enclose a cavity lined by polar sidechains, including those of two residues whose mutation is associated with constitutive expression of the cysteine regulon. A sulphate anion and a number of well ordered water molecules have been modelled into discrete electron-density peaks within this cavity. In the dimer, strands beta B from domain I and strands beta G from domain II come together so that a pair of antiparallel symmetry-related 11-stranded twisted beta-pleated sheets is formed. CONCLUSIONS The overall structure of CysB(88-324) is strikingly similar to those of the periplasmic substrate-binding proteins. A similar fold has also been observed in the cofactor-binding domain of Lac repressor, implying a structural relationship between the Lac repressor and LysR families of proteins. In contrast to Lac repressor, in CysB the twofold axis of symmetry that relates the monomers in the dimer is perpendicular rather than parallel to the long axis of the cofactor-binding domain. This seems likely to place the DNA-binding domains at opposite extremes of the molecule possibly accounting for CysBs extended DNA footprints.

Structure and molecular model refinement of Aspergillus oryzae (TAKA) α-amylase: an application of the simulated-annealing method

Monoclinic crystals of a neutral alpha-amylase from Aspergillus oryzae, containing three molecules in the asymmetric unit, have been reported previously and studied at 3 A resolution [Matsuura, Kunusoki, Harada & Kakudo (1984). J. Biochem. 95, 697-702]. Here we report the solution of the structure of this enzyme in a different crystal form (space group P2(1)2(1)2(1), a = 50.9, b = 67.2, c = 132.7 A), with only one molecule in the asymmetric unit. The structure was solved by the molecular replacement method, using a model of acid alpha-amylase from a related fungus A. niger [Brady, Brzozowski, Derewenda, Dodson & Dodson (1991). Acta Cryst. B47, 527-535]. Conventional least-squares crystallographic refinement failed to converge in a satisfactory manner, and the technique of molecular dynamics in the form of the XPLOR package [Brunger (1988). XPLOR Manual. Yale Univ., USA] was used to overcome the problem. A large rigid-body type movement of the C-terminal domain was identified and accounted for. The final round of restrained least-squares refinement (at 2.1 A resolution) including 3675 protein atoms and 247 water molecules resulted in a conventional crystallographic R factor of 0.183 and an atomic model which conforms well to standard stereochemical parameters (standard deviation of bond lengths from their expected values is 0.028 A, while that for planar groups is 0.029 A).