Evidence for sedative effects of low doses of morphine in mice involving receptors insensitive to naloxone

Low doses of morphine (0.30–2.5 mg/kg) decrease in a dose-dependent manner spontaneous climbing behaviour in mice. This effect is not modified by administration of naloxone at doses up to 1.25 mg/kg. These morphine doses do not modify the locomotor activity but, when they are associated with naloxone (0.5 mg/kg), an obvious inhibition occurs. In rats, a hyperactivity follows the akinesia produced by a morphine administration (10 mg/kg). This hyperactivity is changed into a significant hypokinesia when the animals are treated with naloxone (0.05 mg/kg). These results might reveal a dual effect of low doses of morphine, the excitatory effect of morphine being antagonized by naloxone whereas no action on the sedative effect is observed.     

3-Deoxy-D-arabino heptulosonate 7-phosphate synthase from Zea mays: General properties and regulation by tryptophan

In extracts from Zea mays shoots, the presence of thiol compoundsin the extraction buffer was necessary to get an active 3 deoxy-D-arabinoheptulosonic acid 7-phosphate (DAHP) synthase. Its pH optimumfor activity was about 7.5. Of the different cations tested,only Mn⁺⁺ was an activator. Enzyme stability was optimal inTris-HCl buffer, pH 7.5, that contained a reducing agent, Mn⁺⁺and a polyol. Contrary to other reports, phosphoenolpyruvate(PEP) did not stabilize the preparation significantly. The synthaseexhibited high affinities for both erythrose-4-phosphate (Km:0.24 mM) and PEP (Km: 0.31 mM). Its specific activity was highestin young shoots. Corn DAHP synthase was inhibited in vitro by tryptophan. Moreover,the enzyme was retarded on a tryptophan agarose affinity column,but it was removed with the bulk of protein from the same supportwhen eluted with buffer containing tryptophan. Inhibition whichwas easily lost during storage at 4°C was pH dependent andincreased during development. Maximal inhibition, about 60%with 1 mM tryptophan, was observed in extracts from 8 day-oldshoots. Phenylalanine and tyrosine were not inhibitory, andno synergistic effects were observed when the aromatic aminoacids were tested in combination. Isoenzymes could not be demonstrated. (Received April 23, 1980; )     

L'âge du complexe récifal des côtes de meuse entre verdun et commercy et la stratigraphie de l'oxfordien dans l'est du bassin de Paris

The question of the age of «Hauts de Meuse coral rag is studied again using new faunas of brachiopods and ammonites collected above, below and inside the coral rag. Ammonites fauna of the well known «Calcaires de Creuë is revised. Results obtained agree closely.The «Hauts de Meuse coral rag grew up during Middle Oxfordian time; and extend part of the Plicatilis zone (Antecedens Subzone) and the whole Transversarium Zone up to the basis of the Bifurcatus Zone, for the first time identified in Lorraine. So it span a short depositional time, about 1 MY, with a high deposition rate, the thickness of the coral rag being more than 100 meters, reaching 150 meters in Saint-Mihiel area. Towards SE, on the other side of the Marne Gap, the sudden change into basinal facies go with a reducing of thickness and deposition rate.Upper Oxfordian deposits show a relative uniformity of facies and thickness. At the top of Middle Oxfordian limestones, the age of the discontinuity and the Sequanian renewal of deposition is basal Bifurcatus Zone. Erosional renewal and terrigeneous deposits are a wide spread event by the beginning of Upper Oxfordian.In the paleontological part, species upon which are based new ages and interpretations are only figured, except the species new or with new paleontological data, which are described. Type specimen of Perisphinctes mosensisBayle, from the «Calcaires de Creuë, is described and photographically figured for the first time.     

Cloning of the yeast methionyl-tRNA synthetase gene

A pool of random wild type yeast DNA fragments obtained by partial Sau IIIA restriction enzyme digestion and inserted in the Bam HI site of the hybrid yeast Escherichia coli plasmid ((pFL1) has been used to transform to prototrophy a methionyl-tRNA synthetase-impaired mutant requiring methionine. In the numerous prototroph strains recovered at least two independent clones have been obtained which show nonchromosomic inheritance character and an approximately 30-fold increase in methionyl-tRNA synthetase activity as compared to the wild type. Measurement of the Km for methionine in the transformed yeast cells indicates that the activity has been restored by decreasing the Km for methionine to the same level as found for the wild type methionyl-tRNA synthetase. Southern blotting experiments show that the yeast DNA's fragments inserted in the two independent plasmids share a common sequence which must correspond at least partly to the structural gene for methionyl-tRNA synthetase. They also suggest that the methionyl-tRNA synthetase gene is differently orientated in the two plasmids     

Metapopulation dynamics and foraging plasticity in a highly vagile seabird,the southern rockhopper penguin

Population connectivity is driven by individual dispersal potential and modulated by natal philopatry. In seabirds, high vagility facilitates dispersal yet philopatry is also common, with foraging area overlap often correlated with population connectivity. We assess the interplay between these processes by studying past and current connectivity and foraging niche overlap among southern rockhopper penguin colonies of the coast of southern South America using genomic and stable isotope analyses. We found two distinct genetic clusters and detected low admixture between northern and southern colonies. Stable isotope analysis indicated niche variability between colonies, with Malvinas/Falklands colonies encompassing the species entire isotopic foraging niche, while the remaining colonies had smaller, nonoverlapping niches. A recently founded colony in continental Patagonia differed in isotopic niche width and position with Malvinas/Falklands colonies, its genetically identified founder population, suggesting the exploitation of novel foraging areas and/or prey items. Additionally, dispersing individuals found dead across the Patagonian shore in an unusual mortality event were also assigned to the northern cluster, suggesting northern individuals reach southern localities, but do not breed in these colonies. Facilitated by variability in foraging strategies, and especially during unfavorable conditions, the number of dispersing individuals may increase and enhance the probability of founding new colonies. Metapopulation demographic dynamics in seabirds should account for interannual variability in dispersal behavior and pay special attention to extreme climatic events, classically related to negative effects on population trends.     

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment

Convolutional Neural Networks (CNNs) are statistical models suited for learning complex visual patterns. In the context of Species Distribution Models (SDM) and in line with predictions of landscape ecology and island biogeography, CNN could grasp how local landscape structure affects prediction of species occurrence in SDMs. The prediction can thus reflect the signatures of entangled ecological processes. Although previous machine-learning based SDMs can learn complex influences of environmental predictors, they cannot acknowledge the influence of environmental structure in local landscapes (hence denoted “punctual models”). In this study, we applied CNNs to a large dataset of plant occurrences in France (GBIF), on a large taxonomical scale, to predict ranked relative probability of species (by joint learning) to any geographical position. We examined the way local environmental landscapes improve prediction by performing alternative CNN models deprived of information on landscape heterogeneity and structure (“ablation experiments”). We found that the landscape structure around location crucially contributed to improve predictive performance of CNN-SDMs. CNN models can classify the predicted distributions of many species, as other joint modelling approaches, but they further prove efficient in identifying the influence of local environmental landscapes. CNN can then represent signatures of spatially structured environmental drivers. The prediction gain is noticeable for rare species, which open promising perspectives for biodiversity monitoring and conservation strategies. Therefore, the approach is of both theoretical and practical interest. We discuss the way to test hypotheses on the patterns learnt by CNN, which should be essential for further interpretation of the ecological processes at play.