Evidence map›Paper›PMID 42057412›Full record

ArticleProteomics2026

Comprehensive DIA-MS Proteomics of Root Basal Nodes Elucidates Mechanisms of Salt Tolerance in Rice.

Cheol Woo Min, Choonseok Lee, Ravi Gupta, Gi Hyun Lee, Ji Soo Kim, Na Won Park, Joong Hyoun Chin, Ki-Hong Jung, Sun Tae Kim

Abstract read
In one paragraph

Article in Proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Cheol Woo MinDepartment of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang, Republic of Korea.
Choonseok LeeGraduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, Republic of Korea.
Ravi GuptaPlant Stress Physiology and Proteomics Laboratory, College of General Education, Kookmin University, Seoul, Republic of Korea.
Gi Hyun LeeDepartment of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang, Republic of Korea.
Ji Soo KimDepartment of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang, Republic of Korea.
Na Won ParkDepartment of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang, Republic of Korea.
Joong Hyoun ChinDepartment of Integrative Biological Sciences and Industry, College of Life Sciences, Sejong University, Seoul, Republic of Korea.
Ki-Hong JungGraduate School of Green-Bio Science and Crop Biotech Institute, Kyung Hee University, Yongin, Republic of Korea.
Sun Tae KimDepartment of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang, Republic of Korea.

Funding

National Research Foundation of Korea RS-2022NR072241National Research Foundation of Korea RS-2023-00217064National Research Foundation of Korea RS-2024-00344229National Research Foundation of Korea RS-2025-02214096
6 · The paper itself

Abstract

Soil salinity severely affects rice growth, yield, and quality, posing a global food security challenge. Rice is particularly vulnerable to high salinity, which restricts growth and tolerance to other stresses. To address this, breeding efforts have been made in the past, leading to the generation of multi-stress-tolerant rice lines. A key achievement is the introgression of Submergence 1 (Sub1), Anaerobic Germination 1 (AG1), and Pi9 QTLs into the Indonesian variety Ciherang, generating the CSA-Pi9 line with improved tolerance to submergence, salinity, and blast disease. In this study, we applied data-independent acquisition mass spectrometry (DIA-MS)-based proteomics of root basal nodes to explore salt tolerance in three rice cultivars, including CSA-Pi9, CSA (Ciherang+Sub1+AG1), and Dongjin (DJ). We identified 3016 differentially modulated proteins under salinity. Functional annotation revealed that CSA-Pi9 activates coordinated protective processes contributing to superior performance, such as sodium exclusion with potassium retention, membrane remodeling, and cuticle reinforcement via lipid and sterol metabolism, and sustained energy production with balanced sugar, nitrogen, and water metabolism, compared to the sensitive cultivar DJ under salt stress. These proteome-wide insights highlight complex regulatory networks underlying salinity tolerance in rice and provide potential molecular targets for breeding strategies to enhance crop resilience under adverse environments.

Indexed as

OryzaPlant ProteinsPlant RootsProteomeProteomicsSalt ToleranceGene Expression Regulation, PlantMass SpectrometryPlant ProteinsProteomeDIA‐MSOryza sativaproteomicsroot basal nodesalinity stress

Identifiers

PMID42057412
PMCPMC13519373

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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.