Coexistence of GMOs in the EU – A Veritable Choice?

This chapter examines the issue of coexistence of genetically modified organisms (GMOs) alongside conventional and organic crops. The central focus is on whether there is a veritable opportunity for coexistence of all three types of crops, which allows for freedom of choice by both farmers and consumers. It commences by considering the nature of the general GM regime, the relationship between the frameworks for cultivation and the use and sale of GM food and feed, and the main elements of the cultivation regime. In light of this, the concept of coexistence is considered, with an evaluation of both the legal and practical elements. Although the general GM regime is controlled at an EU level, coexistence is apparently left to the Member States who may take appropriate coexistence measures. Nonetheless, the Commission has created Recommendations that are to guide the Member States in their choice of measures. To a great extent, what is considered ‘appropriate’ is to be determined by the economic impact upon the farmers and the relationship with the labelling thresholds. The chapter evaluates the future of coexistence, bearing in mind the continued use of the safeguard clauses, the declaration of ‘GM-free’ regions, the potential for national ‘opt-outs’ and the general practical challenges of maintaining coexistence including the ‘domino effect’. Overall, it is arguable that coexistence is a misnomer and that if the term’s meaning is strictly maintained then veritable coexistence that allows for freedom of choice by both farmers and consumers seems unattainable. Although not directly controlled by CAP, there are strong areas of overlap and they share a number of similar objectives; the chapter will conclude by considering whether the approaches in relation to CAP and the cultivation of GMOs are converging or diverging.

Food Labels, Autonomy and the Right (Not) to Know

Food labelling has been overlooked in the emerging body of literature concerning the normative dimensions of food and drink policies. In this paper, I argue that arguments normally advanced in bioethics and medical ethics regarding the “right to know” and the “right not to know” can provide useful normative guidelines for critically assessing existing and proposed food labelling regimes. More specifically, I claim that food labelling ought to respect the legitimate interests and the autonomy of both consumers who seek knowledge about their food in order to make informed dietary choices and consumers who prefer to remain ignorant about the contents and effects of their food in order to avoid the emotional and psychological harm, or more simply the loss of enjoyment, which may result from receiving that information.

Identification of vegetable oil botanical speciation in refined vegetable oil blends using an innovative combination of chromatographic and spectroscopic techniques

European Regulation 1169/2011 requires producers of foods that contain refined vegetable oils to label the oil types. A novel rapid and staged methodology has been developed for the first time to identify common oil species in oil blends. The qualitative method consists of a combination of a Fourier Transform Infrared (FTIR) spectroscopy to profile the oils and fatty acid chromatographic analysis to confirm the composition of the oils when required. Calibration models and specific classification criteria were developed and all data were fused into a simple decision-making system. The single lab validation of the method demonstrated the very good performance (96% correct classification, 100% specificity, 4% false positive rate). Only a small fraction of the samples needed to be confirmed with the majority of oils identified rapidly using only the spectroscopic procedure. The results demonstrate the huge potential of the methodology for a wide range of oil authenticity work.

The Ocho Poetas Mexicanos and the marginalisation of Catholic authors in post-revolutionary Mexico

The group known as the Ocho Poetas Mexicanos were marginalised in post-revolutionary literary circles and remain largely forgotten by literary history because they were dismissed as Catholic authors by a literary establishment which favoured nation-building literature at a time when Catholicism was excluded from official constructions of nationhood. This article draws attention to the significant contribution made by group members to contemporary cultural life and re-evaluates the work they published in the 1955 anthology which announced their arrival onto the literary scene. An analysis of this collection demonstrates that there was scant justification for labelling the group as Catholic poets and suggests that they are best understood with reference to the “universal” strand of Mexican literature and as heirs to groups such as the Contemporáneos. The treatment of the Ocho Poetas provides important evidence of the way in which Catholic authors were marginalised in mid-twentieth century Mexico, even if they did not express religious beliefs in their work, and draws attention to the non-literary criteria which can come into play when evaluating texts.

Topological analysis of the Escherichia coli WcaJ protein reveals a new conserved configuration for the polyisoprenyl-phosphate hexose-1-phosphate transferase family

WcaJ is an Escherichia coli membrane enzyme catalysing the biosynthesis of undecaprenyl-diphosphate-glucose, the first step in the assembly of colanic acid exopolysaccharide. WcaJ belongs to a large family of polyisoprenyl-phosphate hexose-1-phosphate transferases (PHPTs) sharing a similar predicted topology consisting of an N-terminal domain containing four transmembrane helices (TMHs), a large central periplasmic loop, and a C-terminal domain containing the fifth TMH (TMH-V) and a cytosolic tail. However, the topology of PHPTs has not been experimentally validated. Here, we investigated the topology of WcaJ using a combination of LacZ/PhoA reporter fusions and sulfhydryl
labelling by PEGylation of novel cysteine residues introduced into a cysteine-less WcaJ. The results showed that the large central loop and the C-terminal tail both reside in the cytoplasm and are separated by TMH-V, which does not fully span the membrane, likely forming a "hairpin" structure. Modelling of TMH-V revealed that a highly conserved proline might contribute to a helix-break-helix structure in all PHPT members. Bioinformatic analyses show that all of these features are conserved in PHPT homologues from
Gram-negative and Gram-positive bacteria. Our data demonstrate a novel topological configuration for PHPTs, which is proposed as a signature for all members of this enzyme family

Development of Novel Activity-Based Probes for the Detection of Serine Proteases

Cystic Fibrosis (CF) is a genetic disease featuring a chronic cycle of inflammation and infection in the airways of sufferers. Mutations lead to altered ion transport, which in turn causes dehydrated airways and reduced mucociliary clearance which predisposes the patient to infection, resulting in a severe immune response and tissue destruction (1). Airway dehydration is primarily caused by the hyperabsorption of sodium by the epithelial sodium channel (ENaC) (2). ENaC is activated by the action of a number of predominantly trypsin-like Channel Activating Proteases (CAPs) including prostasin, matriptase and furin (3). Additional proteases known to activate ENaC include human airway trypsin (3), plasmin, neutrophil elastase and chymotrypsin (4).

Activity profiling is a valuable technique which involves the use of small inhibitory molecules called Activity-Based Probes (ABPs) which can be used to covalently label the active site of proteases and provide a range of information regarding its structure, catalytic mechanism, location and function within biological systems. The development of novel ABPs for CAPs, would enhance understanding of the role of these proteases in CF airways disease and in particular their role in ENaC activation and airway dehydration. This project investigates the application of a range of novel broad-spectrum ABPs targeting the various subclasses of serine proteases, to include those proteases involved in ENaC activation. Additionally, the application of more selective ABPs in detecting specific serine proteases is investigated.

Compounds were synthesised by Solid-Phase Peptide Synthesis (SPPS) using a standard Fmoc/tBu strategy. Kinetic evaluation of synthesised ABPs against various serine proteases was determined by fluorogenic steady-state enzyme assays. Furthermore, application of ABPs and confirmation of irreversible nature of the compounds was carried out through SDS-PAGE and electroblotting techniques.

Synthesised compounds showed potent irreversible inhibition of serine proteases within their respective targeting class (NAP855 vs Trypsin k3/Ki = 2.60 x 106 M-1 min-1, NFP849 vs Chymotrypsin k3/Ki = 1.28 x 106 M-1 min-1 and NVP800 vs Neutrophil Elastase k3/Ki = 6.41 x 104 M-1 min-1). Furthermore ABPs showed little to no cross-reactivity between classes and so display selectivity between classes. The irreversible nature of compounds was further demonstrated through labelling of proteases, followed by separation and detection via SDS-PAGE and electroblotting techniques. Targeted labelling of active proteases only, was demonstrated by failure of ABPs to detect previously inactivated proteases. Extension of the substrate recognition site within probes resulted in an increased potency and selectivity in the detection of the target proteases. Successful detection of neutrophil elastase from CF sputum samples by NVP800, demonstrated the application of compounds within biological samples and their potential use in identifying further proteases involved in ENaC activation and airway dehydration in CF patients.

Regulating Genetically Modified Organisms in Ireland – Laissez faire approach?

This chapter examines the legal framework applicable to genetically modified organisms (GMOs) in Ireland, bearing in mind the limited presence of GMOs. As a member of the European Union (EU), a specific, process-based regime applies regarding the authorisation and regulation of GMOs. This is intended to ensure a high level of environmental and human health protection and also enable producer and consumer choice. This regime is highly harmonized, but allows some flexibility regarding its implementation and, soon, the potential to opt-out from cultivation in part or entirely. Although, Ireland has only legislated on the area to the extent and in the manner required by the EU, it may avail of the opt-out in future – understandable in light of the lack of any cultivation currently and the green image of Ireland.
Complementary horizontal legislation and common law principles, relevant to labelling and varying forms of liability, deal with most issues that might arise quite comprehensively. However, they are quite complicated, overlapping and untailored and it is worth considering whether specific legislation should be developed to deal with liability related to GMOs.
Overall, Ireland holds varying stances to different forms of GMOs, with the greatest acceptance and use of GM-feed for pragmatic reasons. It has not developed a specific Irish approach, copy-pasting EU legislation and relying upon existing law to deal with any issues. This is understandable in light of the high level of harmonization and limited presence of GMOs in Ireland, but nonetheless will need to be developed as the availability of GMOs increases.

Machine learning for transient discovery in Pan-STARRS1 difference imaging

Efficient identification and follow-up of astronomical transients is hindered by the need for humans to manually select promising candidates from data streams that contain many false positives. These artefacts arise in the difference images that are produced by most major ground-based time-domain surveys with large format CCD cameras. This dependence on humans to reject bogus detections is unsustainable for next generation all-sky surveys and significant effort is now being invested to solve the problem computationally. In this paper, we explore a simple machine learning approach to real-bogus classification by constructing a training set from the image data of similar to 32 000 real astrophysical transients and bogus detections from the Pan-STARRS1 Medium Deep Survey. We derive our feature representation from the pixel intensity values of a 20 x 20 pixel stamp around the centre of the candidates. This differs from previous work in that it works directly on the pixels rather than catalogued domain knowledge for feature design or selection. Three machine learning algorithms are trained (artificial neural networks, support vector machines and random forests) and their performances are tested on a held-out subset of 25 per cent of the training data. We find the best results from the random forest classifier and demonstrate that by accepting a false positive rate of 1 per cent, the classifier initially suggests a missed detection rate of around 10 per cent. However, we also find that a combination of bright star variability, nuclear transients and uncertainty in human labelling means that our best estimate of the missed detection rate is approximately 6 per cent.

Mental illness or mental distress; stigma and concealment in University students - a discussion paper

This discussion paper addresses the issue of mental distress, sometimes mis- perceived or misinterpreted as mental illness. The
focus is on positive psychology. Reflecting in part on a UK-based study with younger University students studying to health
related degrees, nursing, midwifery and medicine (N = 12), many of the students were apparently suffering dis-stress with
disordered eating at least in part being used as a coping mechanism. However notwithstanding that they were at the end of
their first year studies in health, a significant number of the students interpreted their approach to eating as a mental illness.
Consequently, many within the study felt stigmatised and were reluctant to acknowledge certainly to the University health care
authorities that there was an issue; perceiving both academic and career/professional consequences of mental health labelling. The
paper approaches the issue of mental health from a health promoting perspective, reflecting against the theory of salutogenesis
and its focus within the three dimensions of comprehensibility, manageability and meaningfulness as an approach to building
resilience and managing stressors to better facilitate a sense of coherence. Complex manifestations of distress and poor coping
mechanisms can in some cases be misinterpreted or miss perceived as mental illness. Promoting mental health and reducing the
stigma of mental illness or the misperception of mental distress as mental illness, would need to be addressed in order to more
effectively outreach certainly to younger University students who might be at risk. The focus should be on how better to promote
their sense of coherence.

Carbon distribution within the plant and rhizosphere in laboratory and field-grown Lolium perenne at different stages of development

Carbon distribution within perennial ryegrass was determined at different stages of plant development, by pulse-labelling laboratory and field-grown plants with ¹⁴C-CO₂. During the early stages of growth (23-51 days), C distribution of laboratory grown plants was not markedly affected by plant age, with 12.4-24% of net assimilated label lost into the soil as root-soil respiration. The percentage of net assimilate translocated below ground was 20-28% during this stage of growth. At 65 days, the percentage of the label translocated below ground decreased to 8.1% of the net assimilate, with a subsequent decrease in root-soil respiration to 3.9%. The ability of the plant to fix the label (expressed in MBq g^-1 oven dry total plant weight) decreased steadily as the plants aged. When the 30 day old plants were subjected to water stress (soil water potential -1.5 MPa) for 2 days before pulse-labelling, root-soil respiration of the pulse-label decreased compared with plants grown at field capacity. The distribution of a ¹⁴C pulse-label within perennial ryegrass grown under field conditions was found to be dependent on the age of the plants. For 4 week old plants, 67% of net assimilated label was translocated below ground, with 64.8% of this respired by the roots and soil. Less label was translocated below ground at subsequent pulse-labels from weeks 8 to 24. The proportion of label translocated below ground respired by the roots and soil also decreased. The investment of label in the plant shoots was found to be greater in field grown plants as compared to plants of the same age grown in a controlled, laboratory environment. © 1990.

Carbon distribution within the plant and rhizosphere for Lolium perenne subjected to anaerobic soil conditions

Perennial ryegrass was subjected to a range of anaerobic treatments. The distribution of C within the plant was determined by pulse labelling the shoots with ¹⁴C-CO₂. A 5 h anaerobic period before pulse labelling reduced by 2.5-10 times the ¹⁴C remaining in the plants and released into the soil. The distribution of the ¹⁴C within the plant was also affected by anaerobiosis. Short periods of anaerobiosis (5 or 10 h) led to increased root-soil ¹⁴C respiration (monitored for 7 days). A longer period of anaerobiosis (48 h) initially inhibited root-soil ¹⁴C respiration, but when aerobiosis was restored. 57% of the total ¹⁴C fixed by the plant was respired by the roots-soil during the following 7 days compared to 19% for the aerobic control. There was a two-thirds reduction in the percentage C retained by the plants stressed for the 48 h compared to the aerobic control. At harvest, all anaerobic treatments were associated with more ¹⁴C remaining in the soil as a proportion of the total ¹⁴C fixed by the plant compared to the aerobic control. © 1990.

A comparison of carbon flow from pre-labelled and pulse-labelled plants

Perennial rye-grass was subjected to two different¹⁴C labelling regimes to enable a partitioning of the carbon sources contributing to rhizosphere carbon-flow. Plant/soil microcosms were designed which enabled rye-grass plants to either receive a single pulse of¹⁴C-CO₂ or to be pre-labelled using a series of¹⁴C-CO₂ pulses, allowing the fate of newly photoassimilated carbon and carbon lost by root decomposition to be followed into the soil. For young rye-grass plants grown over a short period, rhizosphere carbon flow was found to be dominated by newly photoassimilated carbon. Evidence for this came from the observed percentage of the total¹⁴C budget (i.e. total¹⁴C-CO₂ fixed by the plants) lost from the root/soil system, which was 30 times greater for the pulse labelled compared to pre-labelled plants. Root decomposition was found to be less at 10°C compared to 20-25°C, though input of¹⁴C into the soil was the same at both temperatures. © 1988 Kluwer Academic Publishers.

Strategies for detection and quantification of cysteine cathepsins-evolution from bench to bedside

The cysteine cathepsins are a family of closely related thiol proteases, normally found in the endosomal and lysosomal compartments of cells. A growing body of evidence has clearly linked the dysregulated activity of these proteases with many diseases and pathological conditions, offering therapeutic, prognostic and diagnostic potential. However, these proteases are synthesised as inactive precursors and once activated, are controlled by factors such as pH and presence of endogenous inhibitors, meaning that overall protein and activity levels do not necessarily correlate. In order to fully appreciate the role and potential of these proteases, tools are required that can detect and quantify overall cathepsin activity. Two main strategies have evolved; synthetic substrates and protease-labelling with affinity-binding probes (or activity-based probes). This review examines recent innovations in these approaches as the field moves towards developing tools that could ultimately be used in patients for diagnostic or prognostic applications.

Quantifying Aflatoxin B1 in peanut oil using fabricating fluorescence probes based on upconversion nanoparticles

Rare earth doped upconversion nanoparticles convert near-infrared excitation light into visible emission light. Compared to organic fluorophores and semiconducting nanoparticles, upconversion nanoparticles (UCNPs) offer high photochemical stability, sharp emission bandwidths, and large anti-Stokes shifts. Along with the significant light penetration depth and the absence of autofluorescence in biological samples under infrared excitation, these UCNPs have attracted more and more attention on toxin detection and biological labelling. Herein, the fluorescence probe based on UCNPs was developed for quantifying Aflatoxin B₁ (AFB₁) in peanut oil. Based on a specific immunity format, the detection limit for AFB₁ under optimal conditions was obtained as low as 0.2 ng·ml^{- 1}, and in the effective detection range 0.2 to 100 ng·ml^{- 1}, good relationship between fluorescence intensity and AFB₁ concentration was achieved under the linear ratios up to 0.90. Moreover, to check the feasibility of these probes on AFB₁ measurements in peanut oil, recovery tests have been carried out. A good accuracy rating (93.8%) was obtained in this study. Results showed that the nanoparticles can be successfully applied for sensing AFB₁ in peanut oil.

Parametric CAD model based shape optimization using adjoint functions

Adjoint methods have proven to be an efficient way of calculating the gradient of an objective function with respect to a shape parameter for optimisation, with a computational cost nearly independent of the number of the design variables [1]. The approach in this paper links the adjoint surface sensitivities (gradient of objective function with respect to the surface movement) with the parametric design velocities (movement of the surface due to a CAD parameter perturbation) in order to compute the gradient of the objective function with respect to CAD variables.
For a successful implementation of shape optimization strategies in practical industrial cases, the choice of design variables or parameterisation scheme used for the model to be optimized plays a vital role. Where the goal is to base the optimization on a CAD model the choices are to use a NURBS geometry generated from CAD modelling software, where the position of the NURBS control points are the optimisation variables [2] or to use the feature based CAD model with all of the construction history to preserve the design intent [3]. The main advantage of using the feature based model is that the optimized model produced can be directly used for the downstream applications including manufacturing and process planning.
This paper presents an approach for optimization based on the feature based CAD model, which uses CAD parameters defining the features in the model geometry as the design variables. In order to capture the CAD surface movement with respect to the change in design variable, the “Parametric Design Velocity” is calculated, which is defined as the movement of the CAD model boundary in the normal direction due to a change in the parameter value.
The approach presented here for calculating the design velocities represents an advancement in terms of capability and robustness of that described by Robinson et al. [3]. The process can be easily integrated to most industrial optimisation workflows and is immune to the topology and labelling issues highlighted by other CAD based optimisation processes. It considers every continuous (“real value”) parameter type as an optimisation variable, and it can be adapted to work with any CAD modelling software, as long as it has an API which provides access to the values of the parameters which control the model shape and allows the model geometry to be exported. To calculate the movement of the boundary the methodology employs finite differences on the shape of the 3D CAD models before and after the parameter perturbation. The implementation procedure includes calculating the geometrical movement along a normal direction between two discrete representations of the original and perturbed geometry respectively. Parametric design velocities can then be directly linked with adjoint surface sensitivities to extract the gradients to use in a gradient-based optimization algorithm.
The optimisation of a flow optimisation problem is presented, in which the power dissipation of the flow in an automotive air duct is to be reduced by changing the parameters of the CAD geometry created in CATIA V5. The flow sensitivities are computed with the continuous adjoint method for a laminar and turbulent flow [4] and are combined with the parametric design velocities to compute the cost function gradients. A line-search algorithm is then used to update the design variables and proceed further with optimisation process.