Purification and characterization of the extracellular and cell-bound lipases from a Penicillium cyclopium variety

Summary A new strain of Penicillium cyclopium was found on mouldy Grenoble walnuts. From the culture filtrate, two new extracellular lipases (A- and B-lipase) were isolated and characterized. The mycelium contained one of the two forms of lipase (B-lipase). The specificity of the cell-bound lipase linked to the mycelium was then studied. The enzyme was specific to shortchain homogeneous triacylglycerols; it preferred to attack the o-position rather than the p-position, and showed stereospecificity on the sn-1 position. Correspondence to: L.-C. Comeau     

Removal of early fruit branches triggered regulations in senescence,boll attributes and yield of Bt cotton genotypes

Premature senescence, unopened and rotted bolls are the primary constrictions hampering the accomplishment of yield potential in Bt cotton. An experiment was conducted with the objectives to delay senescence, enhance boll opening and reduce the boll rotting. The experiment was conducted at two randomly selected sites of University of Agriculture Faisalabad, Pakistan, during 2015 and repeated in 2016. Each experiment was laid out in randomised complete block design with two by two factorial arrangement structure and replicated five times. Treatments were comprised of R₀ = no fruit removal; R₁ = removal of early fruit branches (REFB) and two genotypes, viz. V₁ = FH‐142 and V₂ = MNH‐886. Genotypes were selected on the basis of abiotic stress tolerance (FH‐142) and susceptibility (MNH‐886). Nodes above cracked bolls, monopodial branches, opened bolls per plant and seed cotton yield were enhanced by 23, 12, 13 and 17%, respectively, under the influence of REFB over no fruit branch removal, while the REFB‐mediated decrease in boll rotting was 27%. Moreover, the response of MNH‐886 was more remarkable than FH‐142 for all studied variables. Conclusively, REFB increased the number of nodes above a cracked boll, monopodial branches, opened bolls per plant and seed cotton yield while decreased rotted bolls per plant in both genotypes.     

A Genomic Resource for the Development,Improvement, and Exploitation of Sorghum for Bioenergy

With high productivity and stress tolerance, numerous grass genera of the Andropogoneae have emerged as candidates for bioenergy production. To optimize these candidates, research examining the genetic architecture of yield, carbon partitioning, and composition is required to advance breeding objectives. Significant progress has been made developing genetic and genomic resources for Andropogoneae, and advances in comparative and computational genomics have enabled research examining the genetic basis of photosynthesis, carbon partitioning, composition, and sink strength. To provide a pivotal resource aimed at developing a comparative understanding of key bioenergy traits in the Andropogoneae, we have established and characterized an association panel of 390 racially, geographically, and phenotypically diverse Sorghum bicolor accessions with 232,303 genetic markers. Sorghum bicolor was selected because of its genomic simplicity, phenotypic diversity, significant genomic tools, and its agricultural productivity and resilience. We have demonstrated the value of sorghum as a functional model for candidate gene discovery for bioenergy Andropogoneae by performing genome-wide association analysis for two contrasting phenotypes representing key components of structural and non-structural carbohydrates. We identified potential genes, including a cellulase enzyme and a vacuolar transporter, associated with increased non-structural carbohydrates that could lead to bioenergy sorghum improvement. Although our analysis identified genes with potentially clear functions, other candidates did not have assigned functions, suggesting novel molecular mechanisms for carbon partitioning traits. These results, combined with our characterization of phenotypic and genetic diversity and the public accessibility of each accession and genomic data, demonstrate the value of this resource and provide a foundation for future improvement of sorghum and related grasses for bioenergy production.     

A Förster resonance energy transfer sensor for live‐cell imaging of mitogen‐activated protein kinase activity in Arabidopsis

The catalytic activity of mitogen‐activated protein kinases (MAPKs) is dynamically modified in plants. Since MAPKs have been shown to play important roles in a wide range of signaling pathways, the ability to monitor MAPK activity in living plant cells would be valuable. Here, we report the development of a genetically encoded MAPK activity sensor for use in Arabidopsis thaliana. The sensor is composed of yellow and blue fluorescent proteins, a phosphopeptide binding domain, a MAPK substrate domain and a flexible linker. Using in vitro testing, we demonstrated that phosphorylation causes an increase in the Förster resonance energy transfer (FRET) efficiency of the sensor. The FRET efficiency can therefore serve as a readout of kinase activity. We also produced transgenic Arabidopsis lines expressing this sensor of MAPK activity (SOMA) and performed live‐cell imaging experiments using detached cotyledons. Treatment with NaCl, the synthetic flagellin peptide flg22 and chitin all led to rapid gains in FRET efficiency. Control lines expressing a version of SOMA in which the phosphosite was mutated to an alanine did not show any substantial changes in FRET. We also expressed the sensor in a conditional loss‐of‐function double‐mutant line for the Arabidopsis MAPK genes MPK3 and MPK6. These experiments demonstrated that MPK3/6 are necessary for the NaCl‐induced FRET gain of the sensor, while other MAPKs are probably contributing to the chitin and flg22‐induced increases in FRET. Taken together, our results suggest that SOMA is able to dynamically report MAPK activity in living plant cells.     

3-hydroxy-3-methylglutaryl coenzyme a reductase 1 interacts with NORK and is crucial for nodulation in Medicago truncatula

NORK in legumes encodes a receptor-like kinase that is required for Nod factor signaling and root nodule development. Using Medicago truncatula NORK as bait in a yeast two-hybrid assay, we identified 3-hydroxy-3-methylglutaryl CoA reductase 1 (Mt HMGR1) as a NORK interacting partner. HMGR1 belongs to a multigene family in M. truncatula, and different HMGR isoforms are key enzymes in the mevalonate biosynthetic pathway leading to the production of a diverse array of isoprenoid compounds. Testing other HMGR members revealed a specific interaction between NORK and HMGR1. Mutagenesis and deletion analysis showed that this interaction requires the cytosolic active kinase domain of NORK and the cytosolic catalytic domain of HMGR1. NORK homologs from Lotus japonicus and Sesbania rostrata also interacted with Mt HMGR1, but homologous nonsymbiotic kinases of M. truncatula did not. Pharmacological inhibition of HMGR activities decreased nodule number and delayed nodulation, supporting the importance of the mevalonate pathway in symbiotic development. Decreasing HMGR1 expression in M. truncatula transgenic roots by RNA interference led to a dramatic decrease in nodulation, confirming that HMGR1 is essential for nodule development. Recruitment of HMGR1 by NORK could be required for production of specific isoprenoid compounds, such as cytokinins, phytosteroids, or isoprenoid moieties involved in modification of signaling proteins.     

Estimation of volatile constituents in the fish flesh from wild and farmed Cirrhina mrigala and Cyprinus carpio

Analysis of fish meat using gas chromatography is described. Flavor is the sensation arising from the interplay of the signals of sensing smell, taste and irritating stimuli from food stuff. For human, flavor and nutrition are inseparable. In fish, trace amount of volatile organic compounds (VOCs) are the major compounds to affect consumer’s preference, which are produced during storage and spoilage. In the present study, volatile compounds were extracted by Likens-Nickerson concurrent distillation apparatus from wild and farmed Cirrhina mrigala and Cyprinus carpio. The quantitative and qualitative estimation of volatiles was made by gas chromatography. Wild and farmed fish of different fish sizes were compared for these compounds (appearing in the form of peaks), which were identified from their retention time by comparing with the standards. Fifteen major VOCs were found in these species which included hexadecane, 3-octanol, hexanal, decane, 3-hexene-1-ol, 2-undecanone, 2-heptanone, butanal, 2-nonanone, 1- heptanal, furaldehyde, 3-methyl-1-butanal, trans-3-hexene-1-ol, octanal and decanal. These compounds varied qualitatively and quantitatively in both wild and farmed fish of different fish sizes.     

Madurella Mycetomatis as an Agent of Brain Abscess: Case Report and Review of Literature

Fungal cerebral abscesses are rare and usually seen in immunocompromised individuals. We report a case and review published literature of Madurella mycetomatis as an agent of cerebral abscess. We found contiguous head and neck infections to be the principal cause of cerebral maduromycosis caused by M. mycetomatis. Early recognition of Madurella spp. as the causative agent is essential to avoid cerebral spread.     

Restoration of impaired endothelium-dependent coronary vasodilation in failing heart: role of eNOS phosphorylation and CGMP/cGK-I signaling

In congestive heart failure (CHF), coronary vascular relaxation is associated with endothelial dysfunction and nitric oxide (NO) deficiency. This study explored the reversibility of this process in hearts recovering from CHF and its related mechanisms. Dogs were chronically instrumented to measure cardiac function and coronary blood flow (CBF). Heart failure was induced by right ventricular pacing at 240 beats/min for 3-4 wk, and cardiac recovery (CR) was allowed by the termination of cardiac pacing for 3-4 wk after the development of CHF, in which left ventricular contractile function was restored by 80-90%. The endothelium-dependent CBF response to bradykinin and acetylcholine was depressed in CHF and fully restored in CR. Myocardial NOx (nitrate/nitrite), endothelial NO synthase (eNOS) mRNA expression, total protein, and phosphorylated eNOS decreased significantly in failing hearts. However, myocardial NOx recovered to 78% of control and phosphorylated eNOS was fully restored in CR, despite the fact that eNOS mRNA expression and protein levels remained lower than control. Furthermore, the endothelium-independent CBF response to nitroglycerin did not change in CHF; however, it increased by 75% in CR, in conjunction with a near threefold increase in the phosphorylation of vasodilation-stimulated phosphoprotein (VASP) at Ser(239) in recovering hearts. Thus the complete restoration of endothelium-dependent coronary vascular relaxation during cardiac recovery from CHF was mediated by 1) a restoration of phosphorylated eNOS for partial recovery of the NO production and 2) an increase in cGMP/cGMP-dependent protein kinase-I pathway signaling activity for the enhancement of coronary vascular smooth muscle relaxation in response to NO.     

A Kernel-Based Multivariate Feature Selection Method for Microarray Data Classification

High dimensionality and small sample sizes, and their inherent risk of overfitting, pose great challenges for constructing efficient classifiers in microarray data classification. Therefore a feature selection technique should be conducted prior to data classification to enhance prediction performance. In general, filter methods can be considered as principal or auxiliary selection mechanism because of their simplicity, scalability, and low computational complexity. However, a series of trivial examples show that filter methods result in less accurate performance because they ignore the dependencies of features. Although few publications have devoted their attention to reveal the relationship of features by multivariate-based methods, these methods describe relationships among features only by linear methods. While simple linear combination relationship restrict the improvement in performance. In this paper, we used kernel method to discover inherent nonlinear correlations among features as well as between feature and target. Moreover, the number of orthogonal components was determined by kernel Fishers linear discriminant analysis (FLDA) in a self-adaptive manner rather than by manual parameter settings. In order to reveal the effectiveness of our method we performed several experiments and compared the results between our method and other competitive multivariate-based features selectors. In our comparison, we used two classifiers (support vector machine, -nearest neighbor) on two group datasets, namely two-class and multi-class datasets. Experimental results demonstrate that the performance of our method is better than others, especially on three hard-classify datasets, namely Wang''s Breast Cancer, Gordon''s Lung Adenocarcinoma and Pomeroy''s Medulloblastoma.