Protein multiple sequence alignment by hybrid bio-inspired algorithms

This article presents an immune inspired algorithm to tackle the Multiple Sequence Alignment (MSA) problem. MSA is one of the most important tasks in biological sequence analysis. Although this paper focuses on protein alignments, most of the discussion and methodology may also be applied to DNA alignments. The problem of finding the multiple alignment was investigated in the study by Bonizzoni and Vedova and Wang and Jiang, and proved to be a NP-hard (non-deterministic polynomial-time hard) problem. The presented algorithm, called Immunological Multiple Sequence Alignment Algorithm (IMSA), incorporates two new strategies to create the initial population and specific ad hoc mutation operators. It is based on the 'weighted sum of pairs' as objective function, to evaluate a given candidate alignment. IMSA was tested using both classical benchmarks of BAliBASE (versions 1.0, 2.0 and 3.0), and experimental results indicate that it is comparable with state-of-the-art multiple alignment algorithms, in terms of quality of alignments, weighted Sums-of-Pairs (SP) and Column Score (CS) values. The main novelty of IMSA is its ability to generate more than a single suboptimal alignment, for every MSA instance; this behaviour is due to the stochastic nature of the algorithm and of the populations evolved during the convergence process. This feature will help the decision maker to assess and select a biologically relevant multiple sequence alignment. Finally, the designed algorithm can be used as a local search procedure to properly explore promising alignments of the search space.     

Pyroptosis: macrophage suicide exposes hidden invaders

Caspase-1 plays a key role in host defense through its dual function in inducing a pro-inflammatory cell death termed pyroptosis and in promoting the secretion of pro-inflammatory cytokines. A new study now highlights the specific importance of pyroptosis in resistance to intracellular pathogens.     

Co-occurrence of tree species at fine spatial scale in a woodland cerrado,southeastern Brazil

Species co-occurrence at fine spatial scales is expected to be nonrandom in relation to species phylogenetic relatedness and functional similarity. On the one hand, closely related species that occur together and experience similar environmental conditions are likely to share phenotypic traits due to the process of environmental filtering. On the other hand, species that are too similar are unlikely to co-occur due to competitive exclusion. We surveyed a woodland cerrado, southeastern Brazil, to test whether co-occurrence in tree species shows functional or phylogenetic structuring at fine spatial scale. Searching for correlations between an index of species co-occurrence and both functional trait differences and phylogenetic distances, we provided evidence for a predominant role of environment filters in determining the co-occurrence of functionally similar tree species in cerrado. However, we did not find any effect of phylogenetic relatedness on tree species co-occurrence. We suggest that the phylogenetic relatedness of co-occurring cerrado tree species did not present a pattern, because the species functional traits were randomly distributed on the phylogeny. Thus, phylogenetic relatedness and functional similarity do not seem to limit the co-occurrence at fine spatial scale of cerrado tree species.     

A chemically induced new pea (Pisum sativum) mutant SGECdt with increased tolerance to, and accumulation of, cadmium

BACKGROUND AND AIMS: To date, there are no crop mutants described in the literature that display both Cd accumulation and tolerance. In the present study a unique pea (Pisum sativum) mutant SGECd(t) with increased Cd tolerance and accumulation was isolated and characterized. METHODS: Ethylmethane sulfonate mutagenesis of the pea line SGE was used to obtain the mutant. Screening for Cd-tolerant seedlings in the M2 generation was performed using hydroponics in the presence of 6 microm CdCl2. Hybridological analysis was used to identify the inheritance of the mutant phenotype. Several physiological and biochemical characteristics of SGECd(t) were studied in hydroponic experiments in the presence of 3 microm CdCl2, and elemental analysis was conducted. KEY RESULTS: The mutant SGECd(t) was characterized as having a monogenic inheritance and a recessive phenotype. It showed increased Cd concentrations in roots and shoots but no obvious morphological defects, demonstrating its capability to cope well with increased Cd levels in its tissues. The enhanced Cd accumulation in the mutant was accompanied by maintenance of homeostasis of shoot Ca, Mg, Zn and Mn contents, and root Ca and Mg contents. Through the application of La(+3) and the exclusion of Ca from the nutrient solution, maintenance of nutrient homeostasis in Cd-stressed SGECd(t) was shown to contribute to the increased Cd tolerance. Control plants of the mutant (i.e. no Cd treatment) had elevated concentrations of glutathione (GSH) in the roots. Through measurements of chitinase and guaiacol-dependent peroxidase activities, as well as proline and non-protein thiol (NPT) levels, it was shown that there were lower levels of Cd stress both in roots and shoots of SGECd(t). Accumulation of phytochelatins [(PCcalculated) = (NPT)-(GSH)] could be excluded as a cause of the increased Cd tolerance in the mutant. CONCLUSIONS: The SGECd(t) mutant represents a novel and unique model to study adaptation of plants to toxic heavy metal concentrations.     

Yeast-based functional genomics and proteomics technologies: the first 15 years and beyond

Yeast-based functional genomics and proteomics technologies developed over the past decade have contributed greatly to our understanding of bacterial, yeast, fly, worm, and human gene functions. In this review, we highlight some of these yeast-based functional genomic and proteomic technologies that are advancing the utility of yeast as a model organism in molecular biology and speculate on their future uses. Such technologies include use of the yeast deletion strain collection, large-scale determination of protein localization in vivo, synthetic genetic array analysis, variations of the yeast two-hybrid system, protein microarrays, and tandem affinity purification (TAP)-tagging approaches. The integration of these advances with established technologies is invaluable in the drive toward a comprehensive understanding of protein structure and function in the cellular milieu.     

Role of vinculin in regulating focal adhesion turnover

Although vinculin (-/-) mouse embryo fibroblasts assemble focal adhesions (FAs), they spread more slowly, less extensively, and close a wound more rapidly than vinculin (+/+) cells. To investigate the structure and dynamics of FAs in these cells, we used real-time interference reflection microscopy (IRM) thus avoiding the need to express exogenous GFP-tagged FA proteins which may be misregulated. This showed that the FAs were smaller, less abundant and turned over more rapidly in vinculin null compared to wild-type cells. Expression of vinculin rescued the spreading defect and resulted in larger and more stable FAs. Phosphatidylinositol 4,5-bisphosphate (PIP2) is thought to play a role in vinculin activation by relieving an intramolecular association between the vinculin head (Vh) and tail (Vt) that masks the ligand binding sites in Vh and Vt. To investigate the role of the vinculin/PIP2 interaction in FA dynamics, we used a vinculin mutant lacking the C-terminal arm (residues 1053-1066) and referred to as the deltaC mutation. This mutation reduced PIP2 binding to a Vt deltaC polypeptide by >90% compared to wild type without affecting binding to Vh or F-actin. Interestingly, cells expressing the vinculin deltaC mutant assembled remarkably stable FAs. The results suggest that vinculin inhibits cell migration by stabilising FAs, and that binding of inositol phospholipids to Vt plays an important role in FA turnover.     

Multicenter evaluation of reverse line blot assay for detection of drug resistance in Mycobacterium tuberculosis clinical isolates

A multicenter study was conducted with the objective to evaluate a reverse line blot (RLB) assay to detect resistance to rifampin (RIF), isoniazid (INH), streptomycin (STR), and ethambutol (EMB) in clinical isolates of Mycobacterium tuberculosis. Oligonucleotides specific for wild type and mutant (drug resistance linked) alleles of the selected codons in the genes rpoB, inhA, ahpC, rpsL, rrs, embB, were immobilized on a nylon membrane. The RLB assay conditions were optimized following analysis of DNA samples with known sequences of the targeted genes. For validation of the method at different geographical locations, the membranes were sent to seven laboratories in six countries representing the regions with high burdens of multudrug-resistant tuberculosis. The reproducibility of the assay for detection of rpoB genotypes was initially evaluated on a blinded set of twenty reference DNA samples with known allele types and overall concordant results were obtained. Further mutation analysis was performed by each laboratory on the local strains. Upon RLB analysis of 315 clinical isolates from different countries, 132 (85.2%) of 155 RIF-resistant and 28 (51.0%) of 55 EMB-resistant isolates were correctly identified, showing applicability of the assay when targeting the rpoB hot-spot region and embB306. Mutations in the inhA and ahpC promoter regions, conferring resistance to INH, were successfully identified in respectively 16.9% and 13.2% of INH-resistant strains. Likewise, mutations in rrs513 and rpsL88 that confer resistance to STR were identified in respectively 15.1% and 10.7% of STR-resistant strains. It should be mentioned that mutation analysis of the above targets usually requires rather costly DNA sequencing to which the proposed RLB assay presents rapid and inexpensive alternative. Furthermore, the proposed method requires the same simple equipment as that used for spoligotyping and permits simultaneous analysis of up to 40 samples. This technique is a first attempt to combine different targets in a single assay for prediction of antituberculosis drugs resistance. It is open to further development as it allows easy incorporation of new probes for detection of mutations in other genes associated with resistance to second-line (e.g., fluoroquinolones) and new antituberculosis compounds.     

Basic amino acid residues in the beta-structure region contribute, but not critically, to presynaptic neurotoxicity of ammodytoxin A

The molecular mechanism of action of presynaptically toxic secreted phospholipases A2 (sPLA2s) isolated from snake venoms is not completely understood. It has been proposed that the positive charge in the beta-structure region is important for their toxic activity. To test this hypothesis, we characterised several mutants of ammodytoxin A (AtxA) possessing substitution of all five basic residues in this region. The mutations had relatively little influence on the catalytic activity of AtxA, either on charge-neutral or anionic phospholipid vesicles. An exception was R72 when replaced by a hydrophobic (higher activity) or an acidic (lower activity) residue. Lethal potencies of the eight single site mutants were up to four times lower than that of the wild-type, whereas the triple mutant (K74S/H76S/R77L) was 13-fold less toxic. The substitutions also lowered the affinity of the toxin, slightly to moderately, for the neuronal receptors R25 and R180. Interaction with calmodulin was only slightly affected by substitutions of K86, more by those of the K74/H76/R77 cluster and most by those of R72 (up to 11-fold lower binding affinity). The results clearly indicate that the basic amino acid residues in the beta-region of AtxA contribute to, but are not necessary for, its neurotoxic effect.     

A multi-criteria decision-making model for classifying wood products with respect to their impact on environment

Background, aim and scope  

Although life cycle assessment is frequently used in scientific studies of product comparison, many practitioners are looking for improvements in the normalisation, grouping and weighting of life cycle inventory results. Local conditions, which are well known to local experts, are very important to these steps. The goal of this work was to develop a computer-based decision support system for classifying wood products according to their influence on the environment in their whole life cycle. The model specifically addresses local conditions in the Republic of Slovenia and was developed by Slovenian experts.     

If Cell Mechanics Can Be Described by Elastic Modulus: Study of Different Models and Probes Used in Indentation Experiments

Here we investigated the question whether cells, being highly heterogeneous objects, could be described with the elastic modulus (effective Young’s modulus) in a self-consistent way. We performed a comparative analysis of the elastic modulus derived from the indentation data obtained with atomic force microscopy (AFM) on human cervical epithelial cells (both normal and cancerous). Both sharp (cone) and dull (2500-nm radius sphere) AFM probes were used. The indentation data were processed through different elastic models. The cell was approximated as a homogeneous elastic medium that had either 1), smooth hemispherical boundary (Hertz/Sneddon models) or 2), the boundary covered with a layer of glycocalyx and membrane protrusions (“brush” models). Consistency of these approximations was investigated. Specifically, we tested the independence of the elastic modulus of the indentation depth, which is assumed in these models. We demonstrated that only one model showed consistency in treating cells as a homogeneous elastic medium, namely, the brush model, when processing the indentation data collected with the dull AFM probe. The elastic modulus demonstrated strong depth dependence in all models: Hertz/Sneddon models (no brush taken into account), and when the brush model was applied to the data collected with sharp conical probes. We conclude that it is possible to describe the elastic properties of the cell body by means of an effective elastic modulus, used in a self-consistent way, when using the brush model to analyze data collected with a dull AFM probe. The nature of these results is discussed.