Visualizing Plant Development and Gene Expression in Three Dimensions Using Optical Projection Tomography
Author(s) -
Karen Lee,
Jerome Avondo,
Harris Morrison,
Lilian Blot,
Margaret Stark,
James Sharpe,
Andrew Bangham,
Enrico Coen
Publication year - 2006
Publication title -
the plant cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.324
H-Index - 341
eISSN - 1532-298X
pISSN - 1040-4651
DOI - 10.1105/tpc.106.043042
Subject(s) - context (archaeology) , projection (relational algebra) , biology , meristem , in situ hybridization , computational biology , gene expression , gene , biological system , botany , computer science , genetics , algorithm , paleontology
A deeper understanding of the mechanisms that underlie plant growth and development requires quantitative data on three-dimensional (3D) morphology and gene activity at a variety of stages and scales. To address this, we have explored the use of optical projection tomography (OPT) as a method for capturing 3D data from plant specimens. We show that OPT can be conveniently applied to a wide variety of plant material at a range of scales, including seedlings, leaves, flowers, roots, seeds, embryos, and meristems. At the highest resolution, large individual cells can be seen in the context of the surrounding plant structure. For naturally semitransparent structures, such as roots, live 3D imaging using OPT is also possible. 3D domains of gene expression can be visualized using either marker genes, such as beta-glucuronidase, or more directly by whole-mount in situ hybridization. We also describe tools and software that allow the 3D data to be readily quantified and visualized interactively in different ways.
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