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PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification.

Marc Lartaud1, Christophe Perin2, Brigitte Courtois2

  • 1CIRAD, UMR AGAP Montpellier, France ; Plateforme Histocytologie et Imagerie Cellulaire Végétale, INRA-CIRAD Montpellier, France.

Frontiers in Plant Science
|February 4, 2015
PubMed
Summary
This summary is machine-generated.

PHIV-RootCell software quantifies rice root anatomy from images. This tool aids in understanding genetic diversity and salt stress effects on root structures.

Keywords:
cell numberhistological phenotype scoringimage analysis softwarericeroottissue areatransverse histological section

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Area of Science:

  • Plant Biology
  • Bioimaging
  • Computational Biology

Background:

  • Rice root anatomy is crucial for understanding plant adaptation and stress responses.
  • Quantifying root anatomical traits traditionally requires laborious manual measurements.
  • Image analysis software can significantly improve the efficiency and accuracy of these measurements.

Purpose of the Study:

  • To develop and validate PHIV-RootCell software for quantifying rice root anatomical traits from transverse section images.
  • To assess the utility of PHIV-RootCell in genetic diversity studies and salt stress response analyses in rice (Oryza sativa L.).

Main Methods:

  • Development of PHIV-RootCell software running on the ImageJ platform.
  • Implementation of supervised measurements for root section area, stele, cortex, metaxylem vessels, cell layer number, and cells per layer.
  • Application of the software to analyze 16 rice cultivars for genetic diversity and response to salt stress.

Main Results:

  • PHIV-RootCell successfully quantified key anatomical parameters in rice roots.
  • The software differentiated between rice varieties based on root anatomy, even at an early growth stage.
  • Tropical japonica varieties exhibited larger root sections attributed to increased cell numbers.
  • Salt stress led to enlarged root sections, with increased cell numbers in ground tissues but decreased numbers in peripheral tissues.

Conclusions:

  • PHIV-RootCell is a user-friendly and effective tool for analyzing rice root anatomical variations.
  • The software facilitates genetic and physiological studies investigating root anatomical traits.
  • Findings contribute to understanding rice root development, genetic diversity, and stress adaptation mechanisms.