Higher plant-like fluorescence induction and thermoluminescence characteristics in cyanobacterium, Spirulina mutant defective in PQH2 oxidation by cytb6/f complex

Characterization of the photosynthetic electron transport in a mutant of Spirulina platensis, generated by chemical mutagenesis, demonstrated that the electron transfer from the plastoquinone (PQ) to cytochrome b6/f was slowed. Thermoluminescence (TL) measurements suggested the presence of reversed energy flow via PQ, which resulted in an emergence of the plant-like after-glow TL band at 45 degrees C that could be enhanced by the transthylakoidal pH gradient and could be eliminated by an uncoupler, FCCP. The localization of the changes in the electron transport of the mutant cells measured by various methods revealed that the re-oxidation of the PQ pool is hampered in the mutant compared to the wild-type cells. The reduction in energy migration was localized between PQ and PS I reaction centers.     

Functional Expression of <Emphasis Type="Italic">Spirulina</Emphasis>-Δ<Superscript>6</Superscript> Desaturase Gene in Yeast, <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>

Spirulina-acyl-lipid desaturases are membrane-bound enzymes found in thylakoid and plasma membranes. These enzymes carry out the fatty acid desaturation process of Spirulina to yield γ-linolenic acid (GLA) as the final desaturation product. In this study, Spirulina-Δ⁶ desaturase encoded by the desD gene was heterologously expressed and characterized in Saccharomyces cerevisiae. We then conducted site-directed mutagenesis of the histidine residues in the three histidine boxes to determine the role of these amino acid residues in the enzyme function. Our results showed that while four mutants showed complete loss of Δ⁶-desaturase activity and two mutants showed only trace of the activity, the enzyme activity could be partially restored by chemical rescue using exogenously provided imidazole. This study reveals that the histidine residues (which have imidazole as their functional group) in the conserved clusters play a critical role in Δ⁶-desaturase activity, possibly by providing a di-iron catalytic center. In our previous study, this enzyme was expressed in Escherichia coli. The results reveal that the enzyme can function only in the presence of an exogenous cofactor, ferredoxin, provided in vitro. This evidence suggests that baker’s yeast has a cofactor that can complement ferredoxin, thought to act as an electron donor for the Δ⁶ desaturation in cyanobacteria, including Spirulina. The electron donor of the Spirulina-Δ⁶ desaturation in yeast is more likely to be cytochrome b₅, which is absent in E. coli. This means that the enzyme expressed in S. cerevisiae can catalyze the biosynthesis of the product, GLA, in vivo.     

Photosynthetic characterization of a mutant of Spirulina platensis

A mutant of Spirulina(Arthrospira) platensis, strain I22,obtained by mutagenesis with ethylmethanesulfonate, was partially defective inthe production of -linolenic acid. However, when compared with the wildform, the I22 mutant almost lost its capacity to grow at low temperatures,although at optimal temperature growth was unaffected. Measurement of themutant's photosynthetic characteristics, including O₂-evolution,Pmaxand light saturation values, revealed significantly lower values than for thewild type, in contrast to the higher content of photosynthetic pigments,chlorophyll and phycocyanin. Whereas the total activity of photosynthesis oftheI22 mutant was 58% lower than that of the wild type, the PS II activity of theI22 mutant was 23% higher. On the other hand, the I22 mutant was 69% lower inPSI activity, and the growth rate of this mutant was limited at high lightintensity. These results indicated that the defect in the PS I complex of theI22 mutant may reduce its ability to utilize light to generate the energy usedin diverse biochemical processes, including fatty acid desaturation.     

Identification of non-coding RNAs with a new composite feature in the Hybrid Random Forest Ensemble algorithm

To identify non-coding RNA (ncRNA) signals within genomic regions, a classification tool was developed based on a hybrid random forest (RF) with a logistic regression model to efficiently discriminate short ncRNA sequences as well as long complex ncRNA sequences. This RF-based classifier was trained on a well-balanced dataset with a discriminative set of features and achieved an accuracy, sensitivity and specificity of 92.11%, 90.7% and 93.5%, respectively. The selected feature set includes a new proposed feature, SCORE. This feature is generated based on a logistic regression function that combines five significant features—structure, sequence, modularity, structural robustness and coding potential—to enable improved characterization of long ncRNA (lncRNA) elements. The use of SCORE improved the performance of the RF-based classifier in the identification of Rfam lncRNA families. A genome-wide ncRNA classification framework was applied to a wide variety of organisms, with an emphasis on those of economic, social, public health, environmental and agricultural significance, such as various bacteria genomes, the Arthrospira (Spirulina) genome, and rice and human genomic regions. Our framework was able to identify known ncRNAs with sensitivities of greater than 90% and 77.7% for prokaryotic and eukaryotic sequences, respectively. Our classifier is available at http://ncrna-pred.com/HLRF.htm.     

Draft genome sequence of Arthrospira platensis C1 (PCC9438)

Arthrospira platensis is a cyanobacterium that is extensively cultivated outdoors on a large commercial scale for consumption as a food for humans and animals. It can be grown in monoculture under highly alkaline conditions, making it attractive for industrial production. Here we describe the complete genome sequence of A. platensis C1 strain and its annotation. The A. platensis C1 genome contains 6,089,210 bp including 6,108 protein-coding genes and 45 RNA genes, and no plasmids. The genome information has been used for further comparative analysis, particularly of metabolic pathways, photosynthetic efficiency and barriers to gene transfer.     

Computational Design of Hypothetical New Peptides Based on a Cyclotide Scaffold as HIV gp120 Inhibitor

Cyclotides are a family of triple disulfide cyclic peptides with exceptional resistance to thermal/chemical denaturation and enzymatic degradation. Several cyclotides have been shown to possess anti-HIV activity, including kalata B1 (KB1). However, the use of cyclotides as anti-HIV therapies remains limited due to the high toxicity in normal cells. Therefore, grafting anti-HIV epitopes onto a cyclotide might be a promising approach for reducing toxicity and simultaneously improving anti-HIV activity. Viral envelope glycoprotein gp120 is required for entry of HIV into CD4+ T cells. However, due to a high degree of variability and physical shielding, the design of drugs targeting gp120 remains challenging. We created a computational protocol in which molecular modeling techniques were combined with a genetic algorithm (GA) to automate the design of new cyclotides with improved binding to HIV gp120. We found that the group of modified cyclotides has better binding scores (23.1%) compared to the KB1. By using molecular dynamic (MD) simulation as a post filter for the final candidates, we identified two novel cyclotides, GA763 and GA190, which exhibited better interaction energies (36.6% and 22.8%, respectively) when binding to gp120 compared to KB1. This computational design represents an alternative tool for modifying peptides, including cyclotides and other stable peptides, as therapeutic agents before the synthesis process.     

Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classification

An ensemble classifier approach for microRNA precursor (pre-miRNA) classification was proposed based upon combining a set of heterogeneous algorithms including support vector machine (SVM), k-nearest neighbors (kNN) and random forest (RF), then aggregating their prediction through a voting system. Additionally, the proposed algorithm, the classification performance was also improved using discriminative features, self-containment and its derivatives, which have shown unique structural robustness characteristics of pre-miRNAs. These are applicable across different species. By applying preprocessing methods—both a correlation-based feature selection (CFS) with genetic algorithm (GA) search method and a modified-Synthetic Minority Oversampling Technique (SMOTE) bagging rebalancing method—improvement in the performance of this ensemble was observed. The overall prediction accuracies obtained via 10 runs of 5-fold cross validation (CV) was 96.54%, with sensitivity of 94.8% and specificity of 98.3%—this is better in trade-off sensitivity and specificity values than those of other state-of-the-art methods. The ensemble model was applied to animal, plant and virus pre-miRNA and achieved high accuracy, >93%. Exploiting the discriminative set of selected features also suggests that pre-miRNAs possess high intrinsic structural robustness as compared with other stem loops. Our heterogeneous ensemble method gave a relatively more reliable prediction than those using single classifiers. Our program is available at http://ncrna-pred.com/premiRNA.html.     

Purification and characterization of the IM-2-binding protein from Streptomyces sp. strain FRI-5.

IM-2 [(2R,3R,1'R)-2-(1'-hydroxybutyl)-3-(hydroxymethyl)butanolide] of Streptomyces sp. strain FRI-5 is one of the butyrolactone autoregulators of Streptomyces species and triggers production of blue pigment as well as the nucleoside antibiotics showdomycin and minimycin. A tritium-labeled IM-2 analogue, 2,3-trans-2(1'-beta-hydroxy-[4',5'-3H]pentyl)-3-(hydroxymethyl)butano lide ([3H]IM-2-C5; 40 Ci/mmol), was synthesized for a competitive binding assay, and an IM-2-specific binding protein was found to be present in the crude cell extract of Streptomyces sp. strain FRI-5. During cultivation for 24 h, the specific IM-2-binding activity increased rapidly, reached a plateau at 10 to 14 h, and declined sharply thereafter, showing only 6% activity after 24 h of cultivation. A Scatchard plot of the binding data demonstrated that the dissociation constant (Kd) for [3H]IM-2-C5 was 1.3 nM, while the Kd for a 3H-labeled virginiae butanolide (VB) analogue, 2-(1'-alpha-hydroxy-[6',7'-3H]heptyl)-3-(hydroxymethyl)butanolide ([3H]VB-C7), another butyrolactone autoregulator possessing the opposite configuration at C-1' was 35 nM. Furthermore, at a 15-fold molar excess, the effectiveness of several autoregulators as nonlabeled competitive ligands against [3H]IM-2-C5 was IM-2 type > VB-C type >> A-factor type, indicating that the binding protein in Streptomyces sp. strain FRI-5 is highly specific toward IM-2. Ultracentrifugation showed that the IM-2-binding protein is present almost exclusively in the 100,000 x g supernatant fraction, indicating that the binding protein is a cytoplasmic soluble protein. The binding protein was purified by ammonium sulfate precipitation, DEAE-Sephacel chromatography, Sephacryl S-100 HR gel filtration, DEAE-5PW high-performance liquid chromatography (HPLC), and phenyl-5PW HPLC. The apparent Mr of the native IM-2-binding protein as determined by molecular sieve HPLC was about 60,000 in the presence of 0.5, 0.3, or 0.1 M KCl, while by sodium dodecyl sulfate-polyacrylamide gel electrophoresis it was about 27,000, suggesting that the native binding protein is present in the form of a dimer.