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Pantel, J.

Publications and source records attributed to Pantel, J..

2 recordsLinked to original sources

The GhsrQ343X allele favors the storage of fat by acting on nutrient partitioning

The Growth Hormone Secretagogue Receptor (GHSR) mediates key properties of the gut hormone ghrelin on metabolism and behavior. Nevertheless, most recent observations also support that the GHSR is a constitutively active G protein-coupled receptor endowed of a sophisticated tuning involving a balance of endogenous ligands. Demonstrating the feasibility of shifting GHSR canonical signaling in vivo, we previously reported that a model with enhanced sensitivity to ghrelin (GhsrQ343X mutant rats) developed fat accumulation and glucose intolerance. Herein, we investigated the contribution of energy homeostasis to the onset of this phenotype, as well as behavioral responses to feeding or pharmacological challenges, by comparing GhsrM/M rats to wild-type littermate rats 1) as freely behaving animals using an automated system to monitor simultaneously energy intake and expenditure, respiratory exchanges and voluntary activity and 2) in feeding and locomotor paradigms. Herein, GhsrM/M rats showed enhanced locomotor response to a GHSR agonist while locomotor or anorexigenic responses to amphetamine or cabergoline (dopamine receptor 2 agonist), respectively, were preserved. Ad libitum fed GhsrM/M rats consumed and conditioned for sucrose similarly to littermate control rats. In calorie-restricted conditions, GhsrM/M rats retained food anticipatory activity and maintained better their body weight and glycemia. Finally, prior to fat accumulation GhsrM/M rats showed shifted fuel preference towards carbohydrates utilization without alterations of energy intake, energy expenditure or physical activity. Overall, the present study provides proof of concept that shifted GHSR signaling can operate a specific alteration in nutrient partitioning resulting in modified balance of carbohydrate/lipid utilization.

physiology↗

Quantifying eco-evolutionary contributions to trait divergence in spatially structured systems

Ecological and evolutionary processes can occur at similar time scales, and hence influence one another. There has been much progress in the development of metrics that quantify contributions of ecological and evolutionary components to trait change over time. However, many empirical evolutionary ecology studies document genetic differentiation among populations structured in space. In both time and space, the observed differentiation in trait values among populations and communities can be the result of interactions between non-evolutionary (phenotypic plasticity, changes in the relative abundance of species) and evolutionary (genetic differentiation among populations) processes. However, the tools developed so far to quantify ecological and evolutionary contributions to trait change are implicitly addressing temporal dynamics because they require directionality of change from an ancestral to a derived state. Identifying directionality from one site to another in spatial studies of eco-evolutionary dynamics is not always possible and often not desired. We here suggest three modifications to existing metrics so they allow the partitioning of ecological and evolutionary contributions to changes in population and community trait values across landscapes. Applying these spatially modified metrics to published empirical examples shows how these metrics can be used to generate new empirical insights and to facilitate future comparative analyses. The possibility to apply eco-evolutionary partitioning metrics to populations and communities in real landscapes is critical as it will broaden our capacity to quantify eco-evolutionary interactions as they occur in nature.

ecology↗