ReviewPlants (Basel, Switzerland)2022
A Review of Integrative Omic Approaches for Understanding Rice Salt Response Mechanisms.
Review in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 48 citations in OpenAlex.
- Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.Journal of experimental botany · 2026Review
- CRISPR/Cas9 Mediated Genome Editing for Enhancing Abiotic Stress Tolerance in Rice: An Omics Guided Perspective.Molecular biotechnology · 2026Review
- Geometric image-based phenotyping and physiological analysis for validation of rice salinity tolerance screening under artificial pot conditions.BMC plant biology · 2026Article
- Cultivar-specific metabolomic and morpho-physiological responses reveal distinct salt tolerance mechanisms in rice (Oryza sativa L.).BMC plant biology · 2026Article
- Fungal allies in saline soils: mineral mobilization, plant nutrient acquisition and salinity stress tolerance.Frontiers in microbiology · 2026Review
- Multi-omics analysis of the role of muskmelon mitochondria in Si-induced resistance mechanisms.Frontiers in plant science · 2026Article
- SQUAMOSA-Promoter Binding Protein Like 10/14 (OsSPL10/14) Regulate Salt Tolerance by Modulating Reactive Oxygen Species Homeostasis in Rice (Oryza Sativa L.).Rice (New York, N.Y.) · 2025Article
- Rice Adaptation to Abiotic Stresses Caused by Soil Inorganic Elements.International journal of molecular sciences · 2025Review
- Harnessing Multi-Omics and Predictive Modeling for Climate-Resilient Crop Breeding: From Genomes to Fields.Genes · 2025Review
- Multi-omics approaches: transforming the landscape of natural product isolation.Functional & integrative genomics · 2025Review
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
- Effects of Salt Stress at the Booting Stage of Grain Development on Physiological Responses, Starch Properties, and Starch-Related Gene Expression in Rice (Plants (Basel, Switzerland) · 2025Article
- Multi-Omic Advances in Olive Tree (Biology · 2025Review
- Overexpression of rice High-affinity Potassium Transporter gene OsHKT1;5 improves salinity and drought tolerance in Arabidopsis.Molecular biology reports · 2024Article
- Mapping proteomic response to salinity stress tolerance in oil crops: Towards enhanced plant resilience.Journal, genetic engineering & biotechnology · 2024Review
- Mapping and Omics Integration: Towards Precise Rice Disease Resistance Breeding.Plants (Basel, Switzerland) · 2024Review
- Transcriptomics, proteomics, and metabolomics interventions prompt crop improvement against metal(loid) toxicity.Plant cell reports · 2024Review
- Review
- Article
- Integrated Analysis of Transcriptome and Metabolome Reveals Molecular Mechanisms of Rice with Different Salinity Tolerances.Plants (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soil salinity is one of the most serious environmental challenges, posing a growing threat to agriculture across the world. Soil salinity has a significant impact on rice growth, development, and production. Hence, improving rice varieties' resistance to salt stress is a viable solution for meeting global food demand. Adaptation to salt stress is a multifaceted process that involves interacting physiological traits, biochemical or metabolic pathways, and molecular mechanisms. The integration of multi-omics approaches contributes to a better understanding of molecular mechanisms as well as the improvement of salt-resistant and tolerant rice varieties. Firstly, we present a thorough review of current knowledge about salt stress effects on rice and mechanisms behind rice salt tolerance and salt stress signalling. This review focuses on the use of multi-omics approaches to improve next-generation rice breeding for salinity resistance and tolerance, including genomics, transcriptomics, proteomics, metabolomics and phenomics. Integrating multi-omics data effectively is critical to gaining a more comprehensive and in-depth understanding of the molecular pathways, enzyme activity and interacting networks of genes controlling salinity tolerance in rice. The key data mining strategies within the artificial intelligence to analyse big and complex data sets that will allow more accurate prediction of outcomes and modernise traditional breeding programmes and also expedite precision rice breeding such as genetic engineering and genome editing.
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Registered trials
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.