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Related Concept Videos

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Related Experiment Video

Updated: Jun 23, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Web-queryable large-scale data sets for hypothesis generation in plant biology.

Siobhan M Brady1, Nicholas J Provart

  • 1Section of Plant Biology and Genome Center, University of California, Davis, California 95616, USA.

The Plant Cell
|April 30, 2009
PubMed
Summary

Plant biology is advancing with large-scale genomic data. Web-based tools now allow researchers worldwide to access and analyze these datasets for new biological insights and hypothesis generation.

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Area of Science:

  • Plant Biology
  • Genomics
  • Bioinformatics

Background:

  • The National Science Foundation (NSF) Arabidopsis 2010 Projects are concluding, generating vast datasets.
  • Initiatives like AtGenExpress and genome sequencing have produced unprecedented large-scale biological data.

Purpose of the Study:

  • To review genomic, epigenomic, transcriptomic, proteomic, and metabolomic datasets in plant biology.
  • To describe web-based tools for querying these datasets for hypothesis generation.
  • To provide biological examples of data and tool application.

Main Methods:

  • Review of large-scale plant biology datasets (genomic, epigenomic, transcriptomic, proteomic, metabolomic).
  • Description of web-based querying tools.
  • Case studies illustrating data-driven biological insights.

Main Results:

  • Significant biological insights have been generated from large-scale datasets.
  • Web-based tools enable global access to plant biology data.
  • Five biological examples demonstrate the utility of these tools and datasets.

Conclusions:

  • The integration of large-scale data and accessible web tools accelerates discovery in plant biology.
  • Researchers can now gain new insights into biological systems efficiently.
  • These resources facilitate hypothesis generation and advance the field.