Ecological Risk Assessment and Quantitative Consequence Analysis

Ecological risk actually refers to two separate things. First, risk to the environment as a result of human activity. Contaminated sites are an example. Second, risk to the biota—flora, fauna, and people—as a result of environmental hazards. Geophysical risk arising from natural hazards is an example. Risk is a combination of likelihoods and consequences. This article examines methods used to quantify the consequences. At the general level, such methods are linked to the methods used to quantify the likelihoods and thus to quantify the risks. It is possible to use the existing frameworks of risk management, health risk assessment, and ecological risk analysis to develop a risk management framework that is suitable for ecological risk assessment. The framework consists of the following steps:

1. Determine concernsby using risk assessment techniques for various scenarios.

2. Identify the consequences by systematically identifying hazards.

3. Undertake calculations by using relevant models.

4. Evaluate certainties, uncertainties, and probabilities involved in the calculations of the vulnerability and of the exposure.

5. Compare with criteriato assess the need for further action.

6. Determine and act on options to control, mitigate, and adapt to the risk.

7. Communicatethe results to those who need to know.

     

Structural and mechanistic insights into ras association domains of phospholipase C epsilon

Ras proteins signal to a number of distinct pathways by interacting with diverse effectors. Studies of ras/effector interactions have focused on three classes, Raf kinases, ral guanylnucleotide-exchange factors, and phosphatidylinositol-3-kinases. Here we describe ras interactions with another effector, the recently identified phospholipase C epsilon (PLCepsilon). We solved structures of PLCepsilon RA domains (RA1 and RA2) by NMR and the structure of the RA2/ras complex by X-ray crystallography. Although the similarity between ubiquitin-like folds of RA1 and RA2 proves that they are homologs, only RA2 can bind ras. Some of the features of the RA2/ras interface are unique to PLCepsilon, while the ability to make contacts with both switch I and II regions of ras is shared only with phosphatidylinositol-3-kinase. Studies of PLCepsilon regulation suggest that, in a cellular context, the RA2 domain, in a mode specific to PLCepsilon, has a role in membrane targeting with further regulatory impact on PLC activity.     

The structural basis of cooperative regulation at an alternate genetic switch

Bacteriophage lambda is a paradigm for understanding the role of cooperativity in gene regulation. Comparison of the regulatory regions of lambda and the unrelated temperate bacteriophage 186 provides insight into alternate ways to assemble functional genetic switches. The structure of the C-terminal domain of the 186 repressor, determined at 2.7 A resolution, reveals an unusual heptamer of dimers, consistent with presented genetic studies. In addition, the structure of a cooperativity mutant of the full-length 186 repressor, identified by genetic screens, was solved to 1.95 A resolution. These structures provide a molecular basis for understanding lysogenic regulation in 186. Whereas the overall fold of the 186 and lambda repressor monomers is remarkably similar, the way the two repressors cooperatively assemble is quite different and explains in part the differences in their regulatory activity.     

Development and evaluation of different normalization strategies for gene expression studies in Candida albicans biofilms by real-time PCR

Background  

Candida albicans biofilms are commonly found on indwelling medical devices. However, the molecular basis of biofilm formation and development is not completely understood. Expression analysis of genes potentially involved in these processes, such as the ALS (Agglutinine Like Sequence) gene family can be performed using quantitative PCR (qPCR). In the present study, we investigated the expression stability of eight housekeeping genes potentially useful as reference genes to study gene expression in Candida albicans (C. albicans) biofilms, using the geNorm Visual Basic Application (VBA) for Microsoft Excel. To validate our normalization strategies we determined differences in ALS1 and ALS3 expression levels between C. albicans biofilm cells and their planktonic counterparts.     

A flexible framework for multi-particle refinement in cryo-electron tomography

Cryo-electron tomography (cryo-ET) and subtomogram averaging (STA) are increasingly used for macromolecular structure determination in situ. Here, we introduce a set of computational tools and resources designed to enable flexible approaches to STA through increased automation and simplified metadata handling. We create a bidirectional interface between the Dynamo software package and the Warp-Relion-M pipeline, providing a framework for ab initio and geometrical approaches to multiparticle refinement in M. We illustrate the power of working within this framework by applying it to EMPIAR-10164, a publicly available dataset containing immature HIV-1 virus-like particles (VLPs), and a challenging in situ dataset containing chemosensory arrays in bacterial minicells. Additionally, we provide a comprehensive, step-by-step guide to obtaining a 3.4-Å reconstruction from EMPIAR-10164. The guide is hosted on https://teamtomo.org/, a collaborative online platform we establish for sharing knowledge about cryo-ET.

Employing optimal computational methodology in cryo-electron tomography is not always easy; this article provides a set of tools and a complete guide to obtaining high-resolution structures from cryo-ET data.     

Composition and chemical polymorphism of the essential oils from Piper lanceaefolium

Essential oils obtained by hydrodistillation from leaves and spikes of Piper lanceaefolium H.B.K. of Costa Rica were analysed by GC-FID, GC-MS and 13C-NMR methods. Main constituents found in the oil from leaves were sesquiterpene hydrocarbons - especially beta-caryophyllene and germacrene D - and phenylpropanoids, of which elemicin and parsley apiol were the major ones. The volatile oil from spikes showed monoterpene hydrocarbons, namely alpha- and beta-pinene, and the same phenylpropanoids as in the oil from leaves as the major constituents. Results obtained in the analysis by GC-FID and GC-MS of the essential oils from individual plants of different geographic origin were submitted to chemometric cluster analysis and principal component analysis, showing the presence of three different types of oils (i) parsley apiol/elemicin, (ii) elemicin/parsley apiol/dill apiol, and (iii) parsley apiol/dill apiol.     

Use of the gyrB gene for the identification of Pandoraea species

The recently described genus Pandoraea consists of five named species and four unnamed genomospecies, several of which have been identified in clinical specimens including respiratory secretions from persons with cystic fibrosis. We investigated whether it is possible to distinguish species of the genus Pandoraea by means of restriction fragment length polymorphism (RFLP) analysis and direct sequencing of the gyrB gene. Sixty-seven Pandoraea isolates were included. Species-specific RFLP patterns were obtained following digestion of the PCR-amplified gyrB gene with MspI. Specificity of RFLP groupings was confirmed by direct sequencing of several representative isolates. Our results indicate that RFLP analysis and sequencing of the gyrB gene are useful for the identification of Pandoraea species. We also found that further taxonomic studies within the beta-Proteobacteria using the gyrB gene would benefit from the development of additional primers allowing more efficient amplification of the gyrB gene. Our data also indicate that the taxonomic status of Pandoraea genomospecies 2 should be reinvestigated.