Literature DB >> 30366980

Going with the Flow: Multiscale Insights into the Composite Nature of Water Transport in Roots.

Valentin Couvreur1, Marc Faget1, Guillaume Lobet1,2, Mathieu Javaux2,3, François Chaumont4, Xavier Draye5.   

Abstract

As water often limits crop production, a more complete understanding of plant water capture and transport is necessary. Here, we developed MECHA, a mathematical model that computes the flow of water across the root at the scale of walls, membranes, and plasmodesmata of individual cells, and used it to test hypotheses related to root water transport in maize (Zea mays). The model uses detailed root anatomical descriptions and a minimal set of experimental cell properties, including the conductivity of plasma membranes, cell walls, and plasmodesmata, which yield quantitative and scale-consistent estimations of water pathways and root radial hydraulic conductivity (k r). MECHA revealed that the mainstream hydraulic theories derived independently at the cell and root segment scales are compatible only if osmotic potentials within the apoplastic domains are uniform. The results suggested that the convection-diffusion of apoplastic solutes explained most of the offset between estimated k r in pressure clamp and osmotic experiments, while the contribution of water-filled intercellular spaces was limited. Furthermore, sensitivity analyses quantified the relative impact of cortex and endodermis cell conductivity of plasma membranes on root k r and suggested that only the latter contributed substantially to k r due to the composite nature of water flow across roots. The explicit root hydraulic anatomy framework brings insights into contradictory interpretations of experiments from the literature and suggests experiments to efficiently address questions pertaining to root water relations. Its scale consistency opens avenues for cross-scale communication in the world of root hydraulics.
© 2018 American Society of Plant Biologists. All Rights Reserved.

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Year:  2018        PMID: 30366980      PMCID: PMC6288756          DOI: 10.1104/pp.18.01006

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  50 in total

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Journal:  Plant Physiol       Date:  2014-01-21       Impact factor: 8.340

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Review 8.  Gradient NMR Method for Studies of Water Translational Diffusion in Plants.

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