A Statistical Description of Plant Shoot Architecture

Conn, A., Pedmale, U. V., Chory, J., Stevens, C. F., Navlakha, S. (July 2017) A Statistical Description of Plant Shoot Architecture. Curr Biol. ISSN 0960-9822

URL: https://www.ncbi.nlm.nih.gov/pubmed/28690115
DOI: 10.1016/j.cub.2017.06.009


Plant architectures can be characterized statistically by their spatial density function, which specifies the probability of finding a branch at each location in the territory occupied by a plant. Using high-precision 3D scanning, we analyzed 557 plant shoot architectures, representing three species, grown across three to five environmental conditions, and through 20-30 developmental time points. We found two elegant properties in the spatial density functions of these architectures: all functions could be nearly modified in one direction without affecting the density in orthogonal directions (called "separability"), and all functions shared the same underlying shape, aside from stretching and compression (called "self-similarity"). Surprisingly, despite their striking visual diversity, we discovered that all architectures could be described as variations on a single underlying function: a Gaussian density function truncated at roughly two SDs. We also observed systematic variation in the spatial density functions across species, growth conditions, and time, which suggests functional specialization despite following the same general design form.

Item Type: Paper
Uncontrolled Keywords: 3D scanning branch density growth principles plant architectures self-similarity separability
Subjects: organism description > plant
CSHL Authors:
Communities: CSHL labs > Pedmale lab
CSHL labs > Navlakha lab
Depositing User: Matt Covey
Date: 5 July 2017
Date Deposited: 21 Jul 2017 19:59
Last Modified: 06 Nov 2019 19:28
Related URLs:
URI: https://repository.cshl.edu/id/eprint/35044

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