Sequence comparison and environmental adaptation of a bacterial endonuclease

New Nuclease from Extremely Psychrophilic Microorganism Psychromonas ingrahamii 37: Identification and Characterization

Nucleases are an important group of hydrolases that degrade nucleic acids, with broad spectrum of applications in science and industry. In this paper, we report the identification and characterization of the nuclease from extremely psychrophilic bacterium Psychromonas ingrahamii that grows exponentially at 5 °C, but may also grow at even lower temperatures (down to - 12 °C). The putative endonuclease I gene, identified in the genome of P. ingrahamii, was cloned and expressed in Pichia pastoris. The recombinant protein was purified and its nucleolytic features were studied. The new enzyme, named by us as PinNuc, displays the features characteristic for the nonselective endonucleases, and has the ability to degrade different forms of nucleic acids. It is very active at room temperature in low ion-strength buffer and in the presence of low concentrations of magnesium ions. The enzyme, which possesses six cysteine residues, the most likely all engaged in disulphide bridges, is active only in oxidized form, and can be efficiently inactivated by the addition of low amounts of a reducing agent. According to our knowledge, it is the first nuclease, belonging to endonuclease I family, isolated from such extremely psychrophilic organism.

Engineering lipase A from mesophilic Bacillus subtilis for activity at low temperatures

Loops or unordered regions of a protein are structurally dynamic and are strongly implicated in activity, stability and proteolytic susceptibility of proteins. Diminished activity of proteins at lower temperatures is considered to be due to compromised dynamics of the protein at lower temperatures. To evolve an active mesophilic lipase (Bacillus subtilis) at low temperatures, we subjected all the loop residues (n = 88) to site saturation mutagenesis (SSM). Based on a three-level screening protocol, we identified 14 substitutions, among 16,000 mutant population, which contributed to a substantial increase in activity at 5 °C. Based on the preliminary activity of recombinants at several temperatures, 5 substitutions among the 14 were found to be beneficial. A recombinant of these five mutations, named as 5CR, exhibited 7-fold higher catalytic efficiency than wild-type (WT) lipase at 10 °C. All the mutants, individually and in a recombinant (5CR), were characterized by substrate-binding parameters, melting temperatures and secondary structure. 5CR was similar to WT in substrate preferences and showed a significant improvement in activity at both lower and higher temperatures compared with the WT. To establish the contribution of mutations on the dynamics of the protein, we performed 100-ns molecular dynamics (MD) simulations on the WT and mutant lipase at 10 and 37 °C. The root mean square fluctuations (RMSFs) indeed showed that the mutations enhance the protein dynamics locally in the loop region having a catalytic residue, which may help in improved activities at lower temperatures.

Psychrophilic enzymes: from folding to function and biotechnology

Psychrophiles thriving permanently at near-zero temperatures synthesize cold-active enzymes to sustain their cell cycle. Genome sequences, proteomic, and transcriptomic studies suggest various adaptive features to maintain adequate translation and proper protein folding under cold conditions. Most psychrophilic enzymes optimize a high activity at low temperature at the expense of substrate affinity, therefore reducing the free energy barrier of the transition state. Furthermore, a weak temperature dependence of activity ensures moderate reduction of the catalytic activity in the cold. In these naturally evolved enzymes, the optimization to low temperature activity is reached via destabilization of the structures bearing the active site or by destabilization of the whole molecule. This involves a reduction in the number and strength of all types of weak interactions or the disappearance of stability factors, resulting in improved dynamics of active site residues in the cold. These enzymes are already used in many biotechnological applications requiring high activity at mild temperatures or fast heat-inactivation rate. Several open questions in the field are also highlighted.

DeltaProt: a software toolbox for comparative genomics

Background

Statistical bioinformatics is the study of biological data sets obtained by new micro-technologies by means of proper statistical methods. For a better understanding of environmental adaptations of proteins, orthologous sequences from different habitats may be explored and compared. The main goal of the DeltaProt Toolbox is to provide users with important functionality that is needed for comparative screening and studies of extremophile proteins and protein classes. Visualization of the data sets is also the focus of this article, since visualizations can play a key role in making the various relationships transparent. This application paper is intended to inform the reader of the existence, functionality, and applicability of the toolbox.

Results

We present the DeltaProt Toolbox, a software toolbox that may be useful in importing, analyzing and visualizing data from multiple alignments of proteins. The toolbox has been written in MATLAB™ to provide an easy and user-friendly platform, including a graphical user interface, while ensuring good numerical performance. Problems in genome biology may be easily stated thanks to a compact input format. The toolbox also offers the possibility of utilizing structural information from the SABLE or other structure predictors. Different sequence plots can then be viewed and compared in order to find their similarities and differences. Detailed statistics are also calculated during the procedure.

Conclusions

The DeltaProt package is open source and freely available for academic, non-commercial use. The latest version of DeltaProt can be obtained from http://services.cbu.uib.no/software/deltaprot/. The website also contains documentation, and the toolbox comes with real data sets that are intended for training in applying the models to carry out bioinformatical and statistical analyses of protein sequences.

Equipped with the new algorithms proposed here, DeltaProt serves as an auxiliary analysis tool capable of visualizing and comparing orthologus protein sequences. The framework of the algorithms also enables easy incorporation of extra information on structure, if such data is available.

Structural adaptation of serine hydroxymethyltransferase to low temperatures

Structural adaptation of serine hydroxymethyltransferase (SHMT), a pyridoxal-5'-phosphate dependent enzyme that catalyzes the reversible conversion of l-serine and tetrahydropteroylglutamate to glycine and 5,10-methylene-tetrahydropteroylglutamate, synthesized by microorganisms adapted to low temperatures has been analyzed using a comparative approach. The variations of amino acid properties and frequencies among three temperature populations (psychrophilic, mesophilic, hyper- and thermophilic) of SHMT sequences have been tested. SHMTs display a general increase of polarity specially in the core, a more negatively charged surface, and enhanced flexibility. Subunit interface is more hydrophilic and less compact. Electrostatic potential of the tetrahydrofolate binding site has been compared. The enzyme from Psychromonas ingrahamii, the organism with the lowest adaptation temperatures, displayed the most positive potential. In general, the property variations show a coherent opposite trend in the hyperthermophilic population: in particular, increase of hydrophobicity, packing and decrease of flexibility was observed.

Environmental adaptation of proteins: regression models with simple physicochemical properties

Bio-sequences from ortholog proteins are well suited for statistical inference when the sequences can be divided into ordinal groups based on known environmental features or traits of the host organisms. In this paper two new regression models are described for extracting proteomic trends of extreme environments. The approach is based on physicochemical properties of the amino acids, and may also utilise stratification of the data. We are especially looking for connections of temperature adaptation between the organism and its molecular level. To show the applicability of the methods, we present analyses of genomic data from proteobacteria orders, where we examine the cold adaptation of membrane proteins, intracellular proteins, and the enzyme endonuclease I. Our results confirm earlier findings that redistribution of charge and increase of surface hydrophobicity might be some of the most important signatures for cold adaptation.