Development of Exposure Biomarkers for the Honey Bee (Apis mellifera): Neonicotinoids Versus Traditional Pesticides

Pollination is a vital ecosystem service crucial for reproduction of flowering plants, including agricultural crops. The western honey bee, Apis mellifera, is the most used managed pollinator worldwide. The use and overuse of agrochemicals is hypothesized to have played a role in increasing rates of colony mortality in Canada and globally. The identity of stressors affecting a colony is difficult to discern; information critical for diagnosing and managing honey bee colony health. Here, I explored the potential of using gene expression profiles as diagnostic biomarkers for exposure to various agrochemicals in honey bees. I found genes differentially expressed unique to each stressor, which could be putative biomarkers for specific agrochemical exposure. I found genes common between pesticides, which could be a putative general agrochemical stress signal. My research indicates that gene expression profiles can be an excellent tool for discovering stressor-specific biomarkers and diagnosing stressors found in honey bee colonies

Synthesis and butyllithium-induced cyclisation of 2-benzyloxyphenylphosphonamidates giving 2,3-dihydrobenzo[d][1,3]oxaphospholes

Authors thank EPSRC (UK) and CRITICAT Centre for Doctoral Training for a studentship to R.A.I. (Grant EP/L016419/1).A series of fourteen O-ethyl-N-butylphenylphosphonamidates with benzyl ether substituents at the ortho position have been prepared and fully characterised. Upon treatment with n-butyllithium in THF at RT, these undergo cyclisation in eight cases to give the novel 2,3-dihydrobenzo[d][1,3]oxaphospholes in moderate to low yield as a single diastereomer for which the relative configuration has been determined by X-ray diffraction in one case.Publisher PDFPeer reviewe

Inclusive and differential cross-section measurements of t\bartZ production in pp collisions at √s=13 TeV with the ATLAS detector, including EFT and spin-correlation interpretations

Measurements of both the inclusive and differential production cross sections of a top-quark-top-antiquark pair in association with a Z boson (tt¯Z) are presented. Final states with two, three or four isolated leptons (electrons or muons) are targeted. The measurements use the data recorded by the ATLAS detector in pp collisions at s√=13 TeV at the Large Hadron Collider during the years 2015-2018, corresponding to an integrated luminosity of 140 fb−1. The inclusive cross section is measured to be σtt¯Z=0.86±0.04 (stat.)±0.04 (syst.) pb and found to be in agreement with the most advanced Standard Model predictions. The differential measurements are presented as a function of a number of observables that probe the kinematics of the tt¯Z system. Both the absolute and normalised differential cross-section measurements are performed at particle level and parton level for specific fiducial volumes, and are compared with NLO+NNLL theoretical predictions. The results are interpreted in the framework of Standard Model effective field theory and used to set limits on a large number of dimension-6 operators involving the top quark. The first measurement of spin correlations in tt¯Z events is presented: the results are in agreement with the Standard Model expectations, and the null hypothesis of no spin correlations is disfavoured with a significance of 1.8 standard deviations

Observation of quantum entanglement in top-quark pairs using the ATLAS detector

We report the highest-energy observation of entanglement, in top−antitop quark events produced at the Large Hadron Collider, using a proton−proton collision data set with a center-of-mass energy of s√=13 TeV and an integrated luminosity of 140 fb−1 recorded with the ATLAS experiment. Spin entanglement is detected from the measurement of a single observable D, inferred from the angle between the charged leptons in their parent top- and antitop-quark rest frames. The observable is measured in a narrow interval around the top−antitop quark production threshold, where the entanglement detection is expected to be significant. It is reported in a fiducial phase space defined with stable particles to minimize the uncertainties that stem from limitations of the Monte Carlo event generators and the parton shower model in modelling top-quark pair production. The entanglement marker is measured to be D=−0.547±0.002 (stat.)±0.021 (syst.) for 340<mtt¯<380 GeV. The observed result is more than five standard deviations from a scenario without entanglement and hence constitutes both the first observation of entanglement in a pair of quarks and the highest-energy observation of entanglement to date

Measurement of the inclusive isolated-photon cross section in pp collisions at √s = 13 TeV using 36 fb−1 of ATLAS data

The differential cross section for isolated-photon production in pp collisions is measured at a centre-of-mass energy of 13 TeV with the ATLAS detector at the LHC using an integrated luminosity of 36.1 fb. The differential cross section is presented as a function of the photon transverse energy in different regions of photon pseudorapidity. The differential cross section as a function of the absolute value of the photon pseudorapidity is also presented in different regions of photon transverse energy. Next-to-leading-order QCD calculations from Jetphox and Sherpa as well as next-to-next-to-leading-order QCD calculations from Nnlojet are compared with the measurement, using several parameterisations of the proton parton distribution functions. The predictions provide a good description of the data within the experimental and theoretical uncertainties. [Figure not available: see fulltext.

Symbiotic Futures: Health, Well-being and Care in the Post-Covid World

The "Symbiotic Futures: Health, Well-being and Care in the Post-Covid World" project was jointly conceived by the Innovation School at Glasgow School of Art and the Institute of Cancer Sciences at the University of Glasgow. The project partnership involved a community of experts working across both organisations including the University of Glasgow’s new Mazumdar-Shaw Advanced Research Centre (ARC). Future experiences is a collaborative, futures-focused design project where students benefit from the input of a community of experts to design speculative future worlds and experiences based on research within key societal contexts. This iteration of the project asked the students to consider what happens in the Post-Covid landscape ten years from now, where symbiotic experiences of health, well-being and care have evolved to the extent that new forms of medical practice, health communities and cultures of care transform how we interact with each other, with professionals and the world around us. The GSA Innovation School’s final year BDes Product Design students and faculty formed a dynamic community of practice with health, wellbeing and care practitioners and researchers from The University of Glasgow and beyond. This gave the students the opportunity to reflect on the underlying complexities of the future of health, well-being and care, technological acceleration, human agency and quality of life, to envision a 2031 blueprint as a series of six future world exhibits, and design the products, services and system experiences for the people and environments within it. In the first part of the project (Stage 1), Future worlds are groups of students working together on specific topics, to establish the context for their project and collaborate on research and development. In this iteration of Future Experiences, the "Health, Well-being and Care" worlds were clustered together around ‘People focused’ and ‘Environment focused’, but also joined up across these groups to create pairs of worlds, and in the process generate symbiosis between the groups. These worlds were then the starting points which the students explored in their individual projects. The second part of the project (Stage 2) saw individual students select an aspect of their Future World research to develop as a design direction, which they then prototyped and produced as products, services, and/or systems. These are designed for specific communities, contexts or scenarios of use defined by the students to communicate a future experience. These Future experiences reflect the societal contexts explored during the research phase, projected 10 years into the future, and communicated in a manner that makes the themes engaging and accessible. The deposited materials are arranged as follows: 1. Project Landscape Map - A report and blueprint for the project that gives a visual overview of the structure and timeline of the project. 2. Stage one data folders - the data folders for stage one of the project are named after the themes the groups explored to create their Future Worlds. 3. Stage two data folders - the data folders for stage two of the project are named after the individual students who created the project

Urotensin-II peptidomimetic incorporating a non-reducible 1,5-triazole disulfide bond reveals a pseudo-irreversible covalent binding mechanism to the urotensin G-protein coupled receptor

The urotensin-II receptor (UTR) is a class A GPCR that predominantly binds to the pleiotropic cyclic peptide urotensin-II (U-II). U-II is constrained by a disulfide bridge that induces a β-turn structure and binds pseudo-irreversibly to UTR and is believed to result in a structural rearrangement of the receptor. However, it is not well understood how U-II binds pseudo-irreversibly and the nature of the reorganization of the receptor that results in G-protein activation. Here we describe a series of U-II peptidomimetics incorporating a non-reducible disulfide bond structural surrogate to investigate the feasibility that native U-II binds to the G protein-coupled receptor through disulfide bond shuffling as a mechanism of covalent interaction. Disubstituted 1,2,3-triazoles were designed with the aid of computational modeling as a non-reducible mimic of the disulfide bridge (Cys5-Cys10) in U-II. Solid phase synthesis using CuAAC or RuAAC as the key macrocyclisation step provided four analogues of U-II(4-11) incorporating either a 1,5-triazole bridge (5, 6) or 1,4-triazole bridge (9, 10). Biological evaluation of compounds 5, 6, 9 and 10 was achieved using in vitro [125I]UII binding and [Ca2+]i assays at recombinant human UTR. Compounds 5 and 6 demonstrated high affinity (KD ∼ 10 nM) for the UTR and were also shown to bind reversibly as predicted and activate the UTR to increase [Ca2+]i. Importantly, our results provide new insight into the mechanism of covalent binding of U-II with the UTR

Heritability estimates of antler and body traits in white-tailed deer (Odocoileus virginianus) from genomic-relatedness matrices.

Estimating heritability (h²) is required to predict the response to selection and is useful in species that are managed or farmed using trait information. Estimating h² in free-ranging populations is challenging due to the need for pedigrees; genomic-relatedness matrices (GRMs) circumvent this need and can be implemented in nearly any system where phenotypic and genome-wide single-nucleotide polymorphism (SNP) data are available. We estimated the heritability of 5 body and 3 antler traits in a free-ranging population of white-tailed deer (Odocoileus virginianus) on Anticosti Island, Quebec, Canada. We generated classic and robust GRMs from >10,000 SNPs: hind foot length, dressed body mass, and peroneus muscle mass had high h² values of 0.62, 0.44, and 0.55, respectively. Heritability in male-only antler features ranged from 0.07 to 0.33. We explored the influence of filtering by minor allele frequency and data completion on h²: GRMs derived from fewer SNPs had reduced h² estimates and the relatedness coefficients significantly deviated from those generated with more SNPs. As a corollary, we discussed limitations to the application of GRMs in the wild, notably how skewed GRMs, specifically many unrelated individuals, can increase variance around h² estimates. This is the first study to estimate h² on a free-ranging population of white-tailed deer and should be informative for breeding designs and management as these traits could respond to selection