Evidence map›Paper›PMID 41803181›Full record

ArticleScientific reports2026

Genomic dissection of iron toxicity tolerance in rice identifies key loci, candidate genes, and associated haplotypes.

Sandeep Jaiswal, Kuldeep Kumar, Anita Kumari, Binay K Singh, Alka Bharati, Pankaj Baiswar, Ayam Gangarani Devi, Krishnappa Rangappa, Manjeet Talukdar, Philanim Shimray and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Sandeep Jaiswal *ICAR Research Complex for NEH Region, Umiam, 793 103, Meghalaya, India. sandeepjaiswal110@gmail.com.
Kuldeep Kumar *ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110 012, India.
Anita Kumari *Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, 79409, USA.
Binay K SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, 132 001, Haryana, India.
Alka BharatiICAR Research Complex for NEH Region, Umiam, 793 103, Meghalaya, India.
Pankaj BaiswarICAR Research Complex for NEH Region, Umiam, 793 103, Meghalaya, India.
Ayam Gangarani DeviICAR Research Complex for NEH Region, Regional Station, Tripura, 799 210, India.
Krishnappa RangappaICAR Research Complex for NEH Region, Umiam, 793 103, Meghalaya, India.
Manjeet TalukdarICAR Research Complex for NEH Region, Umiam, 793 103, Meghalaya, India.
Philanim ShimrayICAR Research Complex for NEH Region, Umiam, 793 103, Meghalaya, India.
Letngam TouthangICAR Research Complex for NEH Region, Umiam, 793 103, Meghalaya, India.
Samarendra HazarikaICAR Research Complex for NEH Region, Umiam, 793 103, Meghalaya, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice (Oryza sativa L.) is known for its inherent tolerance to highly acidic soils, yet the underlying genetic and physiological mechanisms, particularly for iron (Fe) toxicity tolerance, remain insufficiently characterised. Although several quantitative trait loci (QTLs) and candidate genes (CGs) associated with Fe-toxicity tolerance have been identified, their fine mapping is unresolved. In this study, we performed a meta-QTL (M-QTL) analysis by integrating data from 11 QTL mapping studies and nine genome-wide association studies (GWAS), resulting in 63 M-QTLs with a minimum cluster size of two. The largest cluster comprised 10 QTLs, with an average cluster size of 4.01. Phenotypic variance explained (R2) ranged from 7% to 31% (mean 11.77%), and the average confidence interval (CI) was reduced from 4.68 to 2.12. Gene retrieval within these M-QTL regions identified 4,070 non-redundant genes. Comparison with 5 Fe-toxicity-related transcriptomic datasets revealed 897 differentially expressed genes, of which 284 were common to at least two datasets and designated as CGs. Characterisation of these CGs identified key regulatory elements, transcription factors, and transporters implicated in Fe tolerance. Notable CGs included OsNRAMP6, OsCDAP1, OsFRO2, OsFRDL2, OsPT2, OsPDR9, OsHSP70, OsACS2, OsZIP8, OsWRKY46, OsTIP2;2, OsGSTU17, OsINH2, and OsPEZ1. Association analysis identified 13 novel marker–trait associations (MTAs), and haplotype analysis revealed nine haplotypes (H001–H009). M-QTL1.6 and M-QTL7.3 were characterised by large QTL clusters and multiple candidate genes, while M-QTL10.1 contained an Fe-tolerance–associated haplotype within OsFRDL2. Key MTAs (MTA8, MTA16, MTA19, MTA24) formed central nodes in protein–protein interaction networks. This study identifies stable M-QTLs and favourable haplotypes associated with Fe toxicity tolerance in rice, offering clear genomic targets that regulate plant growth under excess iron stress.

Indexed as

HaplotypesIronOryzaQuantitative Trait LociChromosome MappingGene Expression Regulation, PlantGenes, PlantGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotideIronMarker–trait associationsmeta-QTL analysisRiceSoil acidity, Iron toxicity tolerance

Identifiers

PMID41803181
PMCPMC13096636

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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.