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Biology subjects

Chaumont, F.

Publications and source records attributed to Chaumont, F..

4 recordsLinked to original sources

Secretory carrier membrane proteins assist with aquaporin trafficking in Arabidopsis.

Aquaporins belonging to the plasma membrane intrinsic protein (PIP) subfamily are channel proteins that control water flow across cells, allowing plants to rapidly adjust hydraulic conductivity and thereby sustain growth, gas exchange, and recovery from drought. We show that secretory carrier membrane proteins (SCAMP) regulate the abundance of the aquaporins and thereby water transport in Arabidopsis root cells. SCAMPs are evolutionarily conserved multi-spanning transmembrane proteins. In animal cells, they function in secretion, endocytosis and autophagy. Knowledge on their role in plants is restricted to localization and trafficking experiments in heterologous systems and few genetic perturbation experiments. Here, we analysed all five members of the Arabidopsis SCAMP family. We identified conserved tyrosine motifs assisting in transport to the plasma membrane and N-terminally located NPF motifs that are required for internalization. SCAMPs dimerize both at the plasma membrane and endosomes, and dimerization is required for their internalization. Functionally, several PIPs were identified as common targets of multiple SCAMP isoforms. Triple and quintuple scamp mutants show mild developmental delay under standard growth conditions, but they are less sensitive to drought-induced leaf wilting. This observation cannot be explained by altered stomatal dynamics or densities, nor by differential soil water content. However, scamp mutant root protoplasts contain less PIPs and swell less under hypotonic conditions compared to wild type, indicating reduced PIP plasma membrane levels. In conclusion, our research identifies the SCAMP membrane trafficking proteins as regulators of PIP abundance at the plasma membrane in root cells. We propose that the reduced PIP levels in the scamp mutants act as a priming mechanism, allowing them to respond better to conditions of reduced water availability.

plant biology↗

High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions

The effects of climate change in the form of drought, heat stress, and irregular seasonal changes threaten global crop production. The ability of multi-omics data, such as transcripts and proteins, to reflect a plants response to such climatic factors can be capitalized in prediction models to maximize crop improvement. Implementing multi-omics characterization in routine field evaluations is challenging due to high costs. It is, however, possible to do it on reference genotypes in controlled conditions. Using omics measured on a platform, we tested different multi-omics-based prediction approaches, with and without pedo-climatic data, using a high dimensional linear mixed model (MegaLMM) to predict genotypes for platform traits and agronomic field traits in a hybrid panel of 244 maize Dent lines crossed to a Flint tester. We considered two prediction scenarios: in the first one, new hybrids are predicted (CV1), and in the second one, partially observed hybrids are predicted (CV2). For both scenarios, all hybrids were characterized for omics on the platform. We observed that omics can predict both additive and non-additive genetic effects for the platform traits, resulting in much higher predictive abilities than GBLUP. This highlights their efficiency in capturing regulation processes in relation to the growth conditions. For the field traits, we observed that only the additive components of omics were useful and only slightly improved predictive abilities for predicting new hybrids (CV1, model MegaGAO) and for predicting partially observed hybrids (CV2, model GAOxW-BLUP) in comparison to GBLUP. We conclude that measuring the omics in the fields would be of considerable interest for predicting productivity, if the omics costs were to drop significantly. Our study confirms the potential of omics to predict additive and non-additive genetic effects, resulting in a potentially high increase in predictive abilities compared to standard genomic prediction models. Key MessageTranscriptomics and proteomics information collected on a platform can predict additive and non-additive effects for platform traits and additive effects for field traits.

genetics↗

Aquaporin mediating stomatal closure is associated with water conservation under mild water deficit

O_LIContradictory results indicate that aquaporins might facilitate the diffusion of both water and H2O2 during abscisic acid (ABA) triggered stomatal closure. Here, we tested whether maize plasma membrane PIP2;5 aquaporin regulates stomatal closure under water deficit or ABA treatment in intact plants, detached leaves, and peeled epidermis. C_LIO_LITranspiration, stomatal conductance and aperture, as well as reactive oxygen species (ROS) in stomatal complexes were studied in maize lines deregulated in PIP2;5 gene expression, under water deficit and/or ABA treatments. C_LIO_LIIn well-watered conditions, the PIP2;5 overexpressing (OE) plants transpired more than the wild-type plants (WT), while no significant difference in transpiration was observed between pip2;5 KO and WT plants. Upon mild-water deficit or low ABA concentration treatment, the transpiration and stomatal conductance decreased more in PIP2;5 OE, and less in pip2;5 KO lines, in comparison with WT plants. Using isolated epidermis, ABA treatment induced faster stomatal closing in PIP2;5 OE lines compared to the WT, while pip2;5 KO stomata were ABA insensitive. These phenotypes were associated with guard cell ROS accumulation. C_LIO_LITogether, these data indicate that maize PIP2;5 regulates early stomatal closure for water conservation upon a water deficit environment. C_LI

plant biology↗

Novel multiscale insights into the composite nature of water transport in roots

- MECHA is a novel mathematical model that computes the flow of water through the walls, membranes and plasmodesmata of each individual cell throughout complete root cross-sections, from a minimal set of cell level hydraulic properties and detailed root anatomical descriptions.\n- Using the hydraulic anatomical framework of the Zea mays root reveals that hydraulic principles at the cell and root segment scales, derived independently by Katchalsky and Curran [1967] and Fiscus and Kramer [1975], are fully compatible, irrespective of apoplastic barriers leakiness.\n- The hydraulic anatomy model accurately predicts empirical root radial permeability (kr) from relatively high cell wall hydraulic conductivity and low plasmodesmatal conductance reported in the literature.\n- MECHA brings novel insights into contradictory interpretations of experiments from the literature by quantifying the impact of intercellular spaces, cortical cell permeability and plasmodesmata among others on root kr, and suggests new experiments efficiently addressing questions of root water relations.\n\n\nSymbols

plant biology↗