Abstract
The Oryza genus, containing Oryza sativa L., is quintessential to sustain global food security. This genus has a lot of sophisticated molecular mechanisms to cope with environmental stress, particularly during vulnerable stages like flowering. Recent studies have found key involvements and genetic modifications that increase resilience to stress, including exogenous application of melatonin, allantoin, and trehalose as well as OsSAPK3 and OsAAI1 in the genetic realm. Due to climate change and anthropogenic reasons, there is a rise in sea level which raises a concern of salinity stress. It is tackled through osmotic adjustment and ion homeostasis, mediated by genes like P5CS, P5CR, GSH1, GSH2, and SPS, and ion transporters like NHX, NKT, and SKC, respectively. Oxidative damage is reduced by a complex action of antioxidants, scavenging RONS. A complex action of genes mediates cold stress with studies highlighting the roles of OsWRKY71, microRNA2871b, OsDOF1, and OsICE1. There is a need to research the mechanism of action of proteins like OsRbohA in ROS control and the action of regulatory genes in stress response. This is highly relevant due to the changing climate which will raise a lot of environmental changes that will adversely affect production and global food security if certain countermeasures are not taken. Overall, this study aims to unravel the molecular intricacies of ROS and RNS signaling networks in Oryza plants under stress conditions, with the ultimate goal of informing strategies for enhancing stress tolerance and crop performance in this important agricultural genus.
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(Adopted from Kapoor et al. 2019; Nieves-Cordones et al. 2019; Romero-Puertas et al. 2019; Mukherjee et al. 2020; Enciso-Martínez et al. 2024)
(Adopted from Kapoor et al. 2019; Nieves-Cordones et al. 2019; Romero-Puertas et al. 2019; Mukherjee et al. 2020; Enciso-Martínez et al. 2024)
(Adopted from Kapoor et al. 2019; Nieves-Cordones et al. 2019; Romero-Puertas et al. 2019; Mukherjee et al. 2020; Enciso-Martínez et al. 2024)
(Adopted from Kapoor et al. 2019; Nieves-Cordones et al. 2019; Romero-Puertas et al. 2019; Mukherjee et al. 2020; Enciso-Martínez et al. 2024)
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Data availability
Data to support the findings of this study is available on reasonable request from the corresponding author.
Abbreviations
- ROS:
-
Reactive oxygen species
- RNS:
-
Reactive nitrogen species
- PCD:
-
Programmed cell death
- •OH:
-
Hydroxyl radicals
- H2O2 :
-
Hydrogen peroxide
- •NO:
-
Nitric monoxide
- ER:
-
Endoplasmic reticulum
- O2 :
-
Oxygen
- NO+ :
-
Nitrosonium
- ONOO− :
-
Peroxynitrite
- ANOVA:
-
Analysis of variance
- POD:
-
Peroxidase
- APX:
-
Ascorbate peroxidase
- GR:
-
Glutathione reductase
- CAT:
-
Catalase
- PEG:
-
Polyethylene glycol
- SL:
-
Sister line
- IPCC:
-
Intergovernmental panel on climate change
- IAA:
-
Indole-3-acetic acid
- LRR:
-
Leucine-rich repeat
- LTS:
-
Low-temperature stress
- TBARS:
-
Thiobarbituric acid reactive substances
- MDA:
-
Malondialdehyde
- DXWR:
-
Dongxiang wild rice
- BiFC:
-
Bimolecular fluorescence complementation
- BD:
-
Binding domain
- AD:
-
Activation domain
- RCPs:
-
Representative concentration pathways
- HS:
-
Heat stress
- DS:
-
Drought stress
- CK:
-
Water treatment
- GO:
-
Gene ontology
- BR:
-
Brassinosteroids
- HSPs:
-
Heat shock proteins
- ERF:
-
Ethylene-responsive factor
- DREB:
-
Dehydration-responsive element-binding
- MYB:
-
Myeloblastosis
- SOD:
-
Superoxide dismutase
- aCTK:
-
Active cytokinins
- aGA:
-
Active gibberellins
- ABA:
-
Abscisic acid
- AVG:
-
Aminoethoxyvinylglycine
- qRT-PCR:
-
Quantitative reverse transcription-polymerase chain reaction
- BA:
-
Boric acid
- SB:
-
Sodium borate
- QTL:
-
Quantitative trait loci
- GST:
-
Glutathione-S-transferase
- AOS:
-
Antioxidative systems
- XOR:
-
Xanthine-oxidoreductase
- NiR:
-
Nitrite reductase
- GSH:
-
Glutathione
- WGCNA:
-
Weighted correlation network analysis
- AOS:
-
Antioxidant system
- ETC:
-
Electron transport chain
- PRRs:
-
Pattern recognition receptors
- DAMPs:
-
Damage-associated molecular patterns
- SOS:
-
Salt overly sensitive
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Acknowledgements
The author P.S. gratefully acknowledges the financial support provided by the funding agency Science and Engineering Research Board (SERB), Empowerment and Equity Opportunities for Excellence in Science (File Number: EEQ/2022/000455). The author PS gratefully acknowledges the financial support provided by the funding agency DST-FIST (GP193). The author M.M. also gratefully acknowledges the financial support provided by the funding agency Science and Engineering Research Board (SERB), State University Research Excellence (SURE) (File Number: SUR/2022/005216) for this study. The author M.M. is highly thankful to the Ministry of Education and SPD-RUSA Rajasthan for the financial support received under the RUSA-2.0 project. All the authors acknowledge their host institute for infrastructure support. All the authors read and approved the content of the manuscript for the publication.
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This research was funded by the funding agency Science and Engineering Research Board (SERB), State University Research Excellence (SURE) (File Number: SUR/2022/005216) and Science and Engineering Research Board (SERB), Empowerment and Equity Opportunities for Excellence in Science (File Number: EEQ/2022/000455). The research was also supported by the Ministry of Education and SPD-RUSA Rajasthan through the RUSA-2.0 project and the funding agency DST-FIST (GP193).
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Abhijith Shankar, P.S., Parida, P., Bhardwaj, R. et al. Deciphering molecular regulation of reactive oxygen species (ROS) and reactive nitrogen species (RNS) signalling networks in Oryza genus amid environmental stress. Plant Cell Rep 43, 185 (2024). https://doi.org/10.1007/s00299-024-03264-1
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DOI: https://doi.org/10.1007/s00299-024-03264-1