Evidence map›Paper›PMID 20413909›Full record

ArticleJournal of biosciences2010

Proteome analysis of soybean roots under waterlogging stress at an early vegetative stage.

Iftekhar Alam, Dong-Gi Lee, Kyung-Hee Kim, Choong-Hoon Park, Shamima Akhtar Sharmin, Hyoshin Lee, Ki-Won Oh, Byung-Wook Yun, Byung-Hyun Lee

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In one paragraph

Article in Journal of biosciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
12.4field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 129 citations in OpenAlex.

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  8. iTRAQ Proteomic Analysis of Wheat (Frontiers in plant science · 2022
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  9. Review
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  12. Review: Proteomic Techniques for the Development of Flood-Tolerant Soybean.International journal of molecular sciences · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
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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

9 authors at 3 institutions in 2 countries.

Iftekhar AlamDivision of Applied Life Science (BK21 Program), IALS, PMBBRC, Gyeongsang National University, Jinju 660-701, Korea.
Dong-Gi Lee
Kyung-Hee Kim
Choong-Hoon Park
Shamima Akhtar Sharmin
Hyoshin Lee
Ki-Won Oh
Byung-Wook Yun
Byung-Hyun Lee
Gyeongsang National University · KRSuwon Research Institute · KRUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To gain better insight into how soybean roots respond to waterlogging stress, we carried out proteomic profiling combined with physiological analysis at two time points for soybean seedlings in their early vegetative stage. Seedlings at the V2 stage were subjected to 3 and 7 days of waterlogging treatments. Waterlogging stress resulted in a gradual increase of lipid peroxidation and in vivo H2O2 level in roots. Total proteins were extracted from root samples and separated by two-dimensional gel electrophoresis (2-DE). A total of 24 reproducibly resolved, differentially expressed protein spots visualized by Coomassie brilliant blue (CBB) staining were identified by matrix assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry or electrospray ionization tandem mass spectrometry (ESI-MS/MS) analysis. Of these, 14 proteins were upregulated; 5 proteins were decreased; and 5 were newly induced in waterlogged roots. The identified proteins include well-known classical anaerobically induced proteins as well as novel waterlogging-responsive proteins that were not known previously as being waterlogging responsive. The novel proteins are involved in several processes, i.e. signal transduction, programmed cell death, RNA processing, redox homeostasis and metabolisms of energy. An increase in abundance of several typical anaerobically induced proteins, such as glycolysis and fermentation pathway enzymes, suggests that plants meet energy requirement via the fermentation pathway due to lack of oxygen. Additionally, the impact of waterlogging on the several programmed cell death- and signal transduction-related proteins suggest that they have a role to play during stress. RNA gel blot analysis for three programmed cell death-related genes also revealed a differential mRNA level but did not correlate well with the protein level. These results demonstrate that the soybean plant can cope with waterlogging through the management of carbohydrate consumption and by regulating programmed cell death. The identification of novel proteins such as a translation initiation factor, apyrase, auxin-amidohydrolase and coproporphyrinogen oxidase in response to waterlogging stress may provide new insight into the molecular basis of the waterlogging-stress response of soybean.

Indexed as

Electrophoresis, Gel, Two-DimensionalGenes, PlantGlycine maxHydrogen PeroxideLipid PeroxidationPlant Physiological PhenomenaPlant RootsProteomeProteomicsReactive Oxygen SpeciesSignal TransductionSpectrometry, Mass, Electrospray IonizationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTime FactorsWaterHydrogen PeroxideProteomeReactive Oxygen SpeciesWater

Identifiers

PMID20413909
OpenAlexW2069798184

What OpenQuestion holds

Textmetadata
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.