Literature DB >> 35114180

From leaves to roots: Biophysical models of transport of substances in plants.

A V Melkikh1, M I Sutormina2.   

Abstract

The transport processes of substances in various plant tissues are extremely diverse. However, models aimed at elucidating the mechanisms of such processes are almost absent in the literature. A unified view of all these transport processes is necessary, considering the laws of statistical physics and thermodynamics. A model of active ion transport was constructed based on the laws of statistical physics. Using this model, we traced the entire pathway of substances and energy in a plant. The pathway included aspects of the production of energy in the process of photosynthesis, consumption of energy to obtain nutrients from the soil, transport of such substances to the main organelles of all types of plant cells, the rise of water with dissolved substances along the trunk to the leaves, and the evaporation of water, accompanied by a change in the percentage of isotopes caused by different rates of evaporation. Models of ion transport in the chloroplasts and mitochondria of plant cells have been constructed. A generalized model comprising plant cells and their vacuoles was analyzed. A model of the transport of substances in the roots of plants was also developed. Based on this model, the problem of transport of substances in tall trees has been considered. The calculated concentrations of ions in the vacuoles of cells and resting potentials agreed well with the experimental data.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Active transport of ions; Phloem flow; Resting potential; Root hair cells; Statistical model; Water transport in plants

Mesh:

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Year:  2022        PMID: 35114180     DOI: 10.1016/j.pbiomolbio.2022.01.002

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  1 in total

1.  Effects of high Ca and Mg stress on plants water use efficiency in a Karst ecosystem.

Authors:  Rui Qu; Guilin Han
Journal:  PeerJ       Date:  2022-08-17       Impact factor: 3.061

  1 in total

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