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Explicit structural modelling of root-hair and soil interactions at the micron-scale parameterized by synchrotron X-ray computed tomography

Explicit structural modelling of root-hair and soil interactions at the micron-scale parameterized by synchrotron X-ray computed tomography
Explicit structural modelling of root-hair and soil interactions at the micron-scale parameterized by synchrotron X-ray computed tomography
Background: the rhizosphere is a zone of fundamental importance for understanding the dynamics of nutrient acquisition by plant roots. The canonical difficulty of experimentally investigating the rhizosphere led long ago to the adoption of mathematical models, the most sophisticated of which now incorporate explicit representations of root hairs and rhizosphere soil. Mathematical upscaling regimes, such as homogenisation, offer the possibility of incorporating into larger scale models the important mechanistic processes occurring at the rhizosphere scale. However, we lack concrete descriptions of all the features required to fully parameterise models at the rhizosphere scale.
Scope : by combining Synchrotron X-ray Computed Tomography (SRXCT) and a novel root growth assay, we derive a three-dimensional description of rhizosphere soil structure suitable for use in multi-scale modelling frameworks. We describe an approach to mitigate sub-optimal root-hair detection via structural root-hair growth modelling. The growth model is explicitly parameterized with SRXCT data, and simulates three-dimensional root hair ideotypes in silico, which are suitable for both ideotypic analysis and parameterisation of 3D geometry in mathematical models.
Conclusions: the study considers different hypothetical conditions governing root hair interactions with soil matrices, with their respective effects on hair morphology being compared between idealized and image-derived soil/root geometries. The studies in idealised geometries suggest that packing arrangement of soil affects hair tortuosity more than the particle diameter. Results:in field-derived soil suggest that hair access to poorly-mobile nutrients is particularly sensitive to the physical interaction between the growing hairs and the phase of the soil in which soil water is present (i.e. the hydrated textural phase). The general trends in fluid-coincident hair length with distance from the root, and their dependence on hair/soil interaction mechanisms, are conserved across Cartesian and cylindrical geometries.
Root hairs, structural modelling, X-ray CT, rhizosphere, synchrotron, in silico
0092-8240
Keyes, Samuel
ed3ee62b-e257-4b92-922c-023b232e8145
Zygalakis, Konstantinos
b33af985-d6aa-403a-b42b-aa79219184f8
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Keyes, Samuel
ed3ee62b-e257-4b92-922c-023b232e8145
Zygalakis, Konstantinos
b33af985-d6aa-403a-b42b-aa79219184f8
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe

Keyes, Samuel, Zygalakis, Konstantinos and Roose, Tiina (2017) Explicit structural modelling of root-hair and soil interactions at the micron-scale parameterized by synchrotron X-ray computed tomography. Bulletin of Mathematical Biology. (doi:10.1007/s11538-017-0350-x).

Record type: Article

Abstract

Background: the rhizosphere is a zone of fundamental importance for understanding the dynamics of nutrient acquisition by plant roots. The canonical difficulty of experimentally investigating the rhizosphere led long ago to the adoption of mathematical models, the most sophisticated of which now incorporate explicit representations of root hairs and rhizosphere soil. Mathematical upscaling regimes, such as homogenisation, offer the possibility of incorporating into larger scale models the important mechanistic processes occurring at the rhizosphere scale. However, we lack concrete descriptions of all the features required to fully parameterise models at the rhizosphere scale.
Scope : by combining Synchrotron X-ray Computed Tomography (SRXCT) and a novel root growth assay, we derive a three-dimensional description of rhizosphere soil structure suitable for use in multi-scale modelling frameworks. We describe an approach to mitigate sub-optimal root-hair detection via structural root-hair growth modelling. The growth model is explicitly parameterized with SRXCT data, and simulates three-dimensional root hair ideotypes in silico, which are suitable for both ideotypic analysis and parameterisation of 3D geometry in mathematical models.
Conclusions: the study considers different hypothetical conditions governing root hair interactions with soil matrices, with their respective effects on hair morphology being compared between idealized and image-derived soil/root geometries. The studies in idealised geometries suggest that packing arrangement of soil affects hair tortuosity more than the particle diameter. Results:in field-derived soil suggest that hair access to poorly-mobile nutrients is particularly sensitive to the physical interaction between the growing hairs and the phase of the soil in which soil water is present (i.e. the hydrated textural phase). The general trends in fluid-coincident hair length with distance from the root, and their dependence on hair/soil interaction mechanisms, are conserved across Cartesian and cylindrical geometries.

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Accepted/In Press date: 19 September 2017
e-pub ahead of print date: 13 October 2017
Keywords: Root hairs, structural modelling, X-ray CT, rhizosphere, synchrotron, in silico

Identifiers

Local EPrints ID: 414387
URI: http://eprints.soton.ac.uk/id/eprint/414387
ISSN: 0092-8240
PURE UUID: f429fa31-2139-4d6e-a308-24fc3deba8c5
ORCID for Samuel Keyes: ORCID iD orcid.org/0000-0002-4129-2228
ORCID for Tiina Roose: ORCID iD orcid.org/0000-0001-8710-1063

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Date deposited: 28 Sep 2017 16:31
Last modified: 07 Oct 2020 05:53

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Author: Samuel Keyes ORCID iD
Author: Konstantinos Zygalakis
Author: Tiina Roose ORCID iD

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