Evidence map›Paper›PMID 33117429›Full record

ArticlePlant methods2020

Rapid metabolite response in leaf blade and petiole as a marker for shade avoidance syndrome.

Benny Jian Rong Sng, Gajendra Pratap Singh, Kien Van Vu, Nam-Hai Chua, Rajeev J Ram, In-Cheol Jang

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Exploring the complexities of plant UV responses; distinct effects of UV-A and UV-B wavelengths on Arabidopsis rosette morphology.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
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

6 authors at 2 institutions in 2 countries.

Benny Jian Rong Sng *Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604 Singapore.
Gajendra Pratap Singh *Disruptive & Sustainable Technologies for Agricultural Precision, 1 CREATE way, Singapore-MIT Alliance for Research and Technology, Singapore, 138602 Singapore.
Kien Van VuTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604 Singapore.
Nam-Hai ChuaTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604 Singapore.
Rajeev J RamDisruptive & Sustainable Technologies for Agricultural Precision, 1 CREATE way, Singapore-MIT Alliance for Research and Technology, Singapore, 138602 Singapore.
In-Cheol JangTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604 Singapore.ORCID 0000-0001-9408-4273
Temasek Life Sciences Laboratory · SGSingapore-MIT Alliance for Research and Technology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShade avoidance syndrome (SAS) commonly occurs in plants experiencing vegetative shade, causing morphological and physiological changes that are detrimental to plant health and consequently crop yield. As the effects of SAS on plants are irreversible, early detection of SAS in plants is critical for sustainable agriculture. However, conventional methods to assess SAS are restricted to observing for morphological changes and checking the expression of shade-induced genes after homogenization of plant tissues, which makes it difficult to detect SAS early.

resultsUsing the model plant

conclusionsIn various plant species tested in this study, quantification of carotenoid Raman peaks correlate to the severity of SAS. Moreover, short-term exposure to shade can induce the carotenoid Raman peaks to decrease. These findings highlight the carotenoid Raman peaks as a biomarker for early diagnosis of SAS in plants.

Indexed as

BiomarkerEarly diagnosisLeaf bladePetiolePhytochrome signalingRaman spectroscopyShade avoidance syndrome

Identifiers

PMID33117429
PMCPMC7590806
OpenAlexW3094862592

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.