rosettR

rosettR quantifies rosette area and relative growth rates from images of Arabidopsis seedlings to enable high-throughput, non-destructive phenotyping and comparative analysis of genotypes and treatments.


Key Features:

  • Non-Destructive Phenotyping: Measures total rosette area of seedlings grown under sterile conditions without damaging the plants.
  • High-Throughput Analysis: Optimized for large-scale screening of seedling populations from image datasets.
  • Accurate Growth Measurement: Detects growth differences among genotypes and estimates relative growth rates across environmental conditions including light regimes and osmotic stress.
  • R Package Implementation: Implemented as an R package providing functions for experiment design, image analysis, quality-control reporting, statistical evaluation, and comparative analysis across genotypes and treatments.

Scientific Applications:

  • Genetic screening: Identification of growth phenotypes in mutant populations at early developmental stages.
  • Plant physiology and stress response: Profiling genotype responses to environmental treatments such as varying light regimes and osmotic stress.
  • Comparative genotype and treatment analysis: Quantifying the effects of genetic mutations and environmental variables on seedling growth dynamics.

Methodology:

Images of Arabidopsis seedlings grown in plates are captured and subjected to automated image analysis to estimate total rosette area and relative growth rates, with outputs routed for statistical evaluation and quality-control reporting within R.

Topics

Details

License:
GPL-3.0
Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
7/31/2018
Last Updated:
12/10/2018

Operations

Publications

Tomé F, Jansseune K, Saey B, Grundy J, Vandenbroucke K, Hannah MA, Redestig H. rosettR: protocol and software for seedling area and growth analysis. Plant Methods. 2017;13(1). doi:10.1186/s13007-017-0163-9. PMID:28331535. PMCID:PMC5353781.

PMID: 28331535
PMCID: PMC5353781
Funding: - EU Project MERIT: 264474

Documentation