A Statistical Growth Property of Plant Root Architectures.

Sultan, Sam, Snider, Joseph, Conn, Adam, Li, Mao, Topp, Christopher N, Navlakha, Saket (2020) A Statistical Growth Property of Plant Root Architectures. Plant Phenomics, 2020. p. 2073723. ISSN 2643-6515

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URL: https://www.ncbi.nlm.nih.gov/pubmed/33313546
DOI: 10.34133/2020/2073723

Abstract

Numerous types of biological branching networks, with varying shapes and sizes, are used to acquire and distribute resources. Here, we show that plant root and shoot architectures share a fundamental design property. We studied the spatial density function of plant architectures, which specifies the probability of finding a branch at each location in the 3-dimensional volume occupied by the plant. We analyzed 1645 root architectures from four species and discovered that the spatial density functions of all architectures are population-similar. This means that despite their apparent visual diversity, all of the roots studied share the same basic shape, aside from stretching and compression along orthogonal directions. Moreover, the spatial density of all architectures can be described as variations on a single underlying function: a Gaussian density truncated at a boundary of roughly three standard deviations. Thus, the root density of any architecture requires only four parameters to specify: the total mass of the architecture and the standard deviations of the Gaussian in the three (x, y, z) growth directions. Plant shoot architectures also follow this design form, suggesting that two basic plant transport systems may use similar growth strategies.

Item Type: Paper
Subjects: organs, tissues, organelles, cell types and functions > tissues types and functions > root
Investigative techniques and equipment > spatial density function
CSHL Authors:
Communities: CSHL labs > Navlakha lab
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 2020
Date Deposited: 04 May 2021 17:35
Last Modified: 04 May 2021 17:35
PMCID: PMC7706341
URI: https://repository.cshl.edu/id/eprint/39982

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