Evidence map›Paper›PMID 33053653›Full record

ReviewInternational journal of molecular sciences2020

Review: Proteomic Techniques for the Development of Flood-Tolerant Soybean.

Xin Wang, Setsuko Komatsu

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  8. Review
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  10. Article
  11. The Role of Phytohormones in Plant Response to Flooding.International journal of molecular sciences · 2022
    Review
  12. Article
  13. Review
  14. Review
  15. 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

2 authors.

Xin WangCollege of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.
Setsuko KomatsuFaculty of Environmental and Information Sciences, Fukui University of Technology, Fukui 910-8505, Japan.ORCID 0000-0002-4514-357X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean, which is rich in protein and oil as well as phytochemicals, is cultivated in several climatic zones. However, its growth is markedly decreased by flooding stress, which is caused by climate change. Proteomic techniques were used for understanding the flood-response and -tolerant mechanisms in soybean. Subcellular proteomics has potential to elucidate localized cellular responses and investigate communications among subcellular components during plant growth and under stress stimuli. Furthermore, post-translational modifications play important roles in stress response and tolerance to flooding stress. Although many flood-response mechanisms have been reported, flood-tolerant mechanisms have not been fully clarified for soybean because of limitations in germplasm with flooding tolerance. This review provides an update on current biochemical and molecular networks involved in soybean tolerance against flooding stress, as well as recent developments in the area of functional genomics in terms of developing flood-tolerant soybeans. This work will expedite marker-assisted genetic enhancement studies in crops for developing high-yielding stress-tolerant lines or varieties under abiotic stress.

Indexed as

Adaptation, PhysiologicalFloodsProteomeProteomicsAnimalsComputational BiologyEnergy MetabolismGene Expression Regulation, PlantGlycine maxHumansMetabolic Networks and PathwaysPlant Physiological PhenomenaPlant ProteinsStress, PhysiologicalPlant ProteinsProteomefloodingomicsproteomicssoybeanstress responsestress tolerant

Identifiers

PMID33053653
PMCPMC7589014

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.