Evidence map›Paper›PMID 28667406›Full record

ArticleJournal of plant research2017

Biochemical indicators of root damage in rice (Oryza sativa) genotypes under zinc deficiency stress.

Jae-Sung Lee, Matthias Wissuwa, Oscar B Zamora, Abdelbagi M Ismail

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Article in Journal of plant research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Jae-Sung LeeCollege of Agriculture, University of the Philippines Los Baños College, 4031, Laguna, Philippines.
Matthias WissuwaCrop, Livestock and Environment Division, Japan International Research Centre for Agricultural Science, Ohwashi, Tsukuba, Ibaraki, 305-8686, Japan. wissuwa@affrc.go.jp.
Oscar B ZamoraCollege of Agriculture, University of the Philippines Los Baños College, 4031, Laguna, Philippines.
Abdelbagi M IsmailGenetics and Biotechnology Division, International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines. a.ismail@irri.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zn deficiency is one of the major soil constraints currently limiting rice production. Although recent studies demonstrated that higher antioxidant activity in leaf tissue effectively protects against Zn deficiency stress, little is known about whether similar tolerance mechanisms operate in root tissue. In this study we explored root-specific responses of different rice genotypes to Zn deficiency. Root solute leakage and biomass reduction, antioxidant activity, and metabolic changes were measured using plants grown in Zn-deficient soil and hydroponics. Solute leakage from roots was higher in sensitive genotypes and linked to membrane damage caused by Zn deficiency-induced oxidative stress. However, total root antioxidant activity was four-fold lower than in leaves and did not differ between sensitive and tolerant genotypes. Root metabolite analysis using gas chromatography-mass spectrometry and high performance liquid chromatography indicated that Zn deficiency triggered the accumulation of glycerol-3-phosphate and acetate in sensitive genotypes, while less or no accumulation was seen in tolerant genotypes. We suggest that these metabolites may serve as biochemical indicators of root damage under Zn deficiency.

Indexed as

Acetic AcidAntioxidantsBiomassGas Chromatography-Mass SpectrometryGenotypeGlycerophosphatesHydroponicsOryzaOxidative StressPlant LeavesPlant RootsSoilZincAcetic AcidAntioxidantsGlycerophosphatesSoilZincAcetic acidGlycerol-3-phosphateOxidative stressRiceRoot solute leakageZn deficiency

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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.