@article{074b5f32c47940628833cf7dc9d9810f,
title = "Particle-based model shows complex rearrangement of tissue mechanical properties are needed for roots to grow in hard soil",
abstract = "When exposed to increased mechanical resistance from the soil, plant roots display non-linear growth responses that cannot be solely explained by mechanical principles. Here, we aim to investigate how changes in tissue mechanical properties are biologically regulated in response to soil strength. A particle-based model was developed to solve root-soil mechanical interactions at the cellular scale, and a detailed numerical study explored factors that affect root responses to soil resistance. Results showed how softening of root tissues at the tip may contribute to root responses to soil impedance, a mechanism likely linked to soil cavity expansion. The model also predicted the shortening and decreased anisotropy of the zone where growth occurs, which may improve the mechanical stability of the root against axial forces. The study demonstrates the potential of advanced modeling tools to help identify traits that confer plant resistance to abiotic stress.",
keywords = "Anisotropy, Gravitation, Plant Roots, Soil",
author = "Matthias Mimault and Mariya Ptashnyk and Dupuy, {Lionel X.}",
note = "Funding Information: This project was supported by the consolidator fellowship from the European Research Council ERC SENSOILS-647857 (LXD, MM). We also acknowledge the funding from the Spanish Ministry of Science and Innovation under de project MICROCROWD PID2020-112950RRI00 (LXD). The James Hutton Institute received support from the Scottish Government Rural and Environment Science and Analytical Services Division (RESAS), Work package 1.1.1,2.1.6,2.1.7,2.3.4 (MM). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: Copyright: {\textcopyright} 2023 Mimault et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2023",
month = mar,
day = "7",
doi = "10.1371/journal.pcbi.1010916",
language = "English",
volume = "19",
journal = "PLOS Computational Biology",
issn = "1553-734X",
publisher = "Public Library of Science",
number = "3",
}