Developing a predictive modelling capacity for a climate change-vulnerable blanket bog habitat: Assessing 1961-1990 baseline relationships

Aim: Understanding the spatial distribution of high priority habitats and developing predictive models using climate and environmental variables to replicate these distributions are desirable conservation goals. The aim of this study was to model and elucidate the contributions of climate and topography to the distribution of a priority blanket bog habitat in Ireland, and to examine how this might inform the development of a climate change predictive capacity for peat-lands in Ireland. Methods: Ten climatic and two topographic variables were recorded for grid cells with a spatial resolution of 1010 km, covering 87% of the mainland land surface of Ireland. Presence-absence data were matched to these variables and generalised linear models (GLMs) fitted to identify the main climatic and terrain predictor variables for occurrence of the habitat. Candidate predictor variables were screened for collinearity, and the accuracy of the final fitted GLM was evaluated using fourfold cross-validation based on the area under the curve (AUC) derived from a receiver operating characteristic (ROC) plot. The GLM predicted habitat occurrence probability maps were mapped against the actual distributions using GIS techniques. Results: Despite the apparent parsimony of the initial GLM using only climatic variables, further testing indicated collinearity among temperature and precipitation variables for example. Subsequent elimination of the collinear variables and inclusion of elevation data produced an excellent performance based on the AUC scores of the final GLM. Mean annual temperature and total mean annual precipitation in combination with elevation range were the most powerful explanatory variable group among those explored for the presence of blanket bog habitat. Main conclusions: The results confirm that this habitat distribution in general can be modelled well using the non-collinear climatic and terrain variables tested at the grid resolution used. Mapping the GLM-predicted distribution to the observed distribution produced useful results in replicating the projected occurrence of the habitat distribution over an extensive area. The methods developed will usefully inform future climate change predictive modelling for Irelan

Long-term consequences of <em>in utero</em> irradiated mice indicate proteomic changes in synaptic plasticity related signalling.

BACKGROUND: The harmful consequences of in utero irradiation on learning and memory have been recognised but the molecular mechanisms behind the damage are still unknown. RESULTS: Using a mass spectrometry-based approach, we investigated the long-term changes in the global cortical and hippocampal proteome 6 months after 0.1, 0.5 and 1.0&nbsp;Gy in utero X-ray irradiation delivered on embryonic day 11 in male C57Bl/6&nbsp;J offspring. We noted alterations in several signalling pathways involved in cognition, the transcription factor cAMP response element-binding protein (CREB) playing a central role. Immunoblotting of CREB and phosphorylated CREB (Ser133) showed an altered expression profile at all doses in the hippocampus and at 0.5 and 1.0&nbsp;Gy in the cortex. The greatest reduction in the phospho-CREB level was seen at 1.0&nbsp;Gy in the hippocampus. It was accompanied by enhanced expression of postsynaptic density protein 95 (PSD95), suggesting effect on synaptic plasticity in neuronal dendrites. CONCLUSIONS: As the CREB signalling pathway plays a crucial role in neuronal plasticity and long-term memory formation in the brain, the radiation-induced alterations of this pathway seen here are in good agreement with the cognitive dysfunction seen in in utero irradiated populations. These data contribute to a deeper biological understanding of molecular mechanisms behind the long-term damage induced by relatively low doses of ionising radiation during gestation

Proteomic survey reveals altered energetic patterns and metabolic failure prior to retinal degeneration.

Inherited mutations that lead to misfolding of the visual pigment rhodopsin (Rho) are a prominent cause of photoreceptor neuron (PN) degeneration and blindness. How Rho proteotoxic stress progressively impairs PN viability remains unknown. To identify the pathways that mediate Rho toxicity in PNs, we performed a comprehensive proteomic profiling of retinas from Drosophila transgenics expressing Rh1(P37H), the equivalent of mammalian Rho(P23H), the most common Rho mutation linked to blindness in humans. Profiling of young Rh1(P37H) retinas revealed a coordinated upregulation of energy-producing pathways and attenuation of energy-consuming pathways involving target of rapamycin (TOR) signaling, which was reversed in older retinas at the onset of PN degeneration. We probed the relevance of these metabolic changes to PN survival by using a combination of pharmacological and genetic approaches. Chronic suppression of TOR signaling, using the inhibitor rapamycin, strongly mitigated PN degeneration, indicating that TOR signaling activation by chronic Rh1(P37H) proteotoxic stress is deleterious for PNs. Genetic inactivation of the endoplasmic reticulum stress-induced JNK/TRAF1 axis as well as the APAF-1/caspase-9 axis, activated by damaged mitochondria, dramatically suppressed Rh1(P37H)-induced PN degeneration, identifying the mitochondria as novel mediators of Rh1(P37H) toxicity. We thus propose that chronic Rh1(P37H) proteotoxic stress distorts the energetic profile of PNs leading to metabolic imbalance, mitochondrial failure, and PN degeneration and therapies normalizing metabolic function might be used to alleviate Rh1(P37H) toxicity in the retina. Our study offers a glimpse into the intricate higher order interactions that underlie PN dysfunction and provides a useful resource for identifying other molecular networks that mediate Rho toxicity in PNs