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Lamarque, L.

Publications and source records attributed to Lamarque, L..

2 recordsLinked to original sources

Dissecting conformational rearrangements and allosteric modulation in metabotropic glutamate receptor activation

Selective allosteric modulators bear great potential to fine-tune neurotransmitter-induced brain receptor responses. Promising targets are metabotropic glutamate (mGlu) receptors, which are associated to different brain diseases. These multidomain class C GPCRs experience concerted structural rearrangements and rely on allosteric modulation of agonist action to be fully activated. Here we establish live cell compatible fluorescence labeling of mGlu2 by click chemistry through genetic code expansion. Using lanthanide resonance energy transfer, we establish multiple FRET sensors to monitor ligand effects on conformational changes in mGlu2 extracellular domain and subsequently dissect the underlying conformational states by smFRET. Using three distinct FRET sensors, we demonstrate that mGlu activation relies on a ligand-induced sampling of three conformational states. Orthosteric agonists act by promoting the closure of the mGlu2 ligand binding domains, leading to an equilibrium between an inactive intermediate and the active state. Allosteric modulator further push this equilibrium toward the active state, promoting and stabilizing the relative reorientation of the mGlu protomers. These results underline the complex and dynamic nature of such type of neuroreceptors, pointing out that ligands fine-tune activation by differentially acting on the equilibria between multiple states.

biophysics↗

Modelling live fuel moisture content at leaf and canopy scale under extreme drought using SurEau-Ecos, a lumped plant hydraulic model

O_LIWater content in living vegetation (or live fuel moisture content, LFMC), is increasingly recognized as a key factor linked to vegetation mortality and wildfire ignition and spread. Most often, empirical indices are used as surrogates for direct LFMC measurements. C_LIO_LIIn this paper, we explore the functional and ecophysiological drivers of LFMC during drought at the leaf and canopy scale using the SurEau-Ecos model, and a three years dataset of leaf and canopy scale measurements on a mature Quercus ilex forest, including an extreme drought. The model is based on forest hydrology and plant hydraulics and allows to simulate temporal variations of water potential and content at a daily time step. At leaf level, it simulates the relationship between water potential and water content by separating the apoplasm and the symplasm. Symplasm water content is modeled using the pressure volume curve theory, and apoplasm water content is modelled using the xylem vulnerability to cavitation. Fuel moisture content was upscaled to the canopy level by accounting for foliage mortality estimated from drought induced cavitation. C_LIO_LIThe model was parameterized either with site-measured traits or using a calibration procedure, and compared with water potential and LFMC measured at leaf level, and NDVI variation measured at canopy level and taken as a surrogate for foliage mortality. C_LIO_LIAt leaf level, LFMC prediction using measured hydraulic traits could be improved by considering year-to-year osmotic adjustments. At canopy level, foliage mortality due to drought induced cavitation was a key driver of LFMC decline during the most extreme drought. C_LIO_LIA sensitivity analysis showed that parameters driving soil water balance (leaf area index, soil water capacity, and regulation of transpiration) and parameters determining pressure volume curves are key traits driving LFMC dynamics at leaf level. At the canopy level, parameters that drives hydraulic failure were the most sensitive and included, both soil water balance parameters and hydraulic traits (the leaf vulnerability to cavitation) were the main drivers of LFMC decline during extreme drought. C_LIO_LIWe also showed that under normal historic weather conditions, most variation of LFMC are linked to reversible symplasm dehydration, however under future, hotter and dryer conditions, most variations are due to the decline canopy of LFMC driven by foliage mortality. C_LI

ecology↗