Evidence map›Paper›PMID 22470059›Full record

ArticlePlant & cell physiology2012

Hyperspectral imaging techniques for rapid identification of Arabidopsis mutants with altered leaf pigment status.

Osamu Matsuda, Ayako Tanaka, Takao Fujita, Koh Iba

Abstract read
In one paragraph

Article in Plant & cell physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Remote Sensing Techniques: Hyperspectral Imaging and Data Analysis.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Multi-Omics Techniques for Soybean Molecular Breeding.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Measuring plant colors.Plant biotechnology (Tokyo, Japan) · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A review of imaging techniques for plant phenotyping.Sensors (Basel, Switzerland) · 2014
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Osamu MatsudaDepartment of Biology, Faculty of Sciences, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581 Japan. matsuda.osamu.084@m.kyushu-u.ac.jp
Ayako Tanaka
Takao Fujita
Koh Iba

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spectral reflectance signature of living organisms provides information that closely reflects their physiological status. Because of its high potential for the estimation of geomorphic biological parameters, particularly of gross photosynthesis of plants, two-dimensional spectroscopy, via the use of hyperspectral instruments, has been widely used in remote sensing applications. In genetics research, in contrast, the reflectance phenotype has rarely been the subject of quantitative analysis; its potential for illuminating the pathway leading from the gene to phenotype remains largely unexplored. In this study, we employed hyperspectral imaging techniques to identify Arabidopsis mutants with altered leaf pigment status. The techniques are comprised of two modes; the first is referred to as the 'targeted mode' and the second as the 'non-targeted mode'. The 'targeted' mode is aimed at visualizing individual concentrations and compositional parameters of leaf pigments based on reflectance indices (RIs) developed for Chls a and b, carotenoids and anthocyanins. The 'non-targeted' mode highlights differences in reflectance spectra of leaf samples relative to reference spectra from the wild-type leaves. Through the latter approach, three mutant lines with weak irregular reflectance phenotypes, that are hardly identifiable by simple observation, were isolated. Analysis of these and other mutants revealed that the RI-based targeted pigment estimation was robust at least against changes in trichome density, but was confounded by genetic defects in chloroplast photorelocation movement. Notwithstanding such a limitation, the techniques presented here provide rapid and high-sensitive means to identify genetic mechanisms that coordinate leaf pigment status with developmental stages and/or environmental stress conditions.

Indexed as

AgrobacteriumAnthocyaninsArabidopsisCarotenoidsChlorophyllChlorophyll AChloroplastsChromosome MappingChromosomes, PlantGenetic Complementation TestGenetic LociImage Processing, Computer-AssistedPhenotypePlant LeavesSpectrum AnalysisAnthocyaninsCarotenoidsChlorophyllChlorophyll Achlorophyll b

Identifiers

PMID22470059
PMCPMC3367163

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.