Evidence map›Paper›PMID 37653936›Full record

ReviewPlants (Basel, Switzerland)2023

Recent Molecular Aspects and Integrated Omics Strategies for Understanding the Abiotic Stress Tolerance of Rice.

Babar Usman, Behnam Derakhshani, Ki-Hong Jung

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
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  4. Article
  5. Review
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  8. Article
  9. Article
  10. Method for the Measurement of Ethylene During Hypoxia in Rice Plants.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Review
  12. 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

3 authors.

Babar UsmanGraduate School of Green Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin 17104, Republic of Korea.ORCID 0000-0002-3031-7688
Behnam DerakhshaniGraduate School of Green Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin 17104, Republic of Korea.
Ki-Hong JungGraduate School of Green Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin 17104, Republic of Korea.ORCID 0000-0003-0427-5901

Funding

National Research Foundation of Korea 2021K1A3A1A61002988National Research Foundation of Korea NRF-2021R1A2C2010448Rural Development Administration PJ01703502
6 · The paper itself

Abstract

Rice is an important staple food crop for over half of the world's population. However, abiotic stresses seriously threaten rice yield improvement and sustainable production. Breeding and planting rice varieties with high environmental stress tolerance are the most cost-effective, safe, healthy, and environmentally friendly strategies. In-depth research on the molecular mechanism of rice plants in response to different stresses can provide an important theoretical basis for breeding rice varieties with higher stress resistance. This review presents the molecular mechanisms and the effects of various abiotic stresses on rice growth and development and explains the signal perception mode and transduction pathways. Meanwhile, the regulatory mechanisms of critical transcription factors in regulating gene expression and important downstream factors in coordinating stress tolerance are outlined. Finally, the utilization of omics approaches to retrieve hub genes and an outlook on future research are prospected, focusing on the regulatory mechanisms of multi-signaling network modules and sustainable rice production.

Indexed as

abiotic stressbreedingcandidate genesomicsrice

Identifiers

PMID37653936
PMCPMC10221523

What Socratic 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 Socratic graph.