Evidence map›Paper›PMID 33304454›Full record

ArticleComputational and structural biotechnology journal2020

Deciphering rice metabolic flux reprograming under salinity stress via

Kwanjeera Wanichthanarak, Chuthamas Boonchai, Thammaporn Kojonna, Supachitra Chadchawan, Wichian Sangwongchai, Maysaya Thitisaksakul

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2020. 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
  2. Review
  3. Article
  4. Article
  5. Review
  6. How Plants Tolerate Salt Stress.Current issues in molecular biology · 2023
    Review
  7. Article
  8. Article
  9. Review
  10. Frontiers in microbiology · 2022
    Article
  11. Article
  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

6 authors.

Kwanjeera WanichthanarakSiriraj Metabolomics and Phenomics Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
Chuthamas BoonchaiCenter of Excellence in Environment and Plant Physiology, Department of Botany, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Thammaporn KojonnaCenter of Excellence in Environment and Plant Physiology, Department of Botany, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Supachitra ChadchawanCenter of Excellence in Environment and Plant Physiology, Department of Botany, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Wichian SangwongchaiDepartment of Biochemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.
Maysaya ThitisaksakulDepartment of Biochemistry, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is one of the most economically important commodities globally. However, rice plants are salt susceptible species in which high salinity can significantly constrain its productivity. Several physiological parameters in adaptation to salt stress have been observed, though changes in metabolic aspects remain to be elucidated. In this study, rice metabolic activities of salt-stressed flag leaf were systematically characterized. Transcriptomics and metabolomics data were combined to identify disturbed pathways, altered metabolites and metabolic hotspots within the rice metabolic network under salt stress condition. Besides, the feasible flux solutions in different context-specific metabolic networks were estimated and compared. Our findings highlighted metabolic reprogramming in primary metabolic pathways, cellular respiration, antioxidant biosynthetic pathways, and phytohormone biosynthetic pathways. Photosynthesis and hexose utilization were among the major disturbed pathways in the stressed flag leaf. Notably, the increased flux distribution of the photorespiratory pathway could contribute to cellular redox control. Predicted flux statuses in several pathways were consistent with the results from transcriptomics, end-point metabolomics, and physiological studies. Our study illustrated that the contextualized genome-scale model together with multi-omics analysis is a powerful approach to unravel the metabolic responses of rice to salinity stress.

Indexed as

3-PGA, 3-PhosphoglycerateADH, Arogenate dehydrogenaseASA, AscorbateCGS, Cystathionine γ-synthaseCi, Intercellular CO2 concentrationCINV, Cytosolic invertaseE, Transpiration rateGAPDH, Glyceraldehyde-3-phosphate dehydrogenaseGC-TOF-MS, Gas chromatography time-of-flight mass spectrometryGEM, Genome-scale metabolic modelGLYK, 3-Phosphoglycerate kinaseGMD, Golm Metabolome DatabaseGSH, GlutathioneGSSG, Glutathione disulfidegs, Stomatal conductanceIAA, Indole-3-acetic acidiMAT, Integrative Metabolic Analysis ToolIPA, IndolepyruvateMAPK, Mitogen-activated protein kinaseMDH, Malate dehydrogenaseMetabolic flux analysisMetabolic modelingMetabolomicsMulti-omics analysisPFK, PhosphofructokinasePGK, Phosphoglycerate kinasePLS-DA, Partial-Least Squares Discriminant AnalysisPn, Net photosynthesis rateRice (Oryza sativa L.)Salinity stressSOD, Superoxide dismutaseSystems biologyTAT, Tyrosine aminotransferaseTranscriptomics

Identifiers

PMID33304454
PMCPMC7708941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.