Evidence map›Paper›PMID 40811572›Full record

ArticlePloS one2025

Deciphering the genetic basis of grain iron and zinc content in wheat under heat and drought stress using GWAS.

Sahana Police Patil, Hari Krishna, Narayana Bhat Devate, Karthik Kumar Manjunath, P N Vinodh Kumar, Divya Chauhan, Shweta Singh, Hanif Khan, Chandra Nath Mishra, Neelu Jain and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Elevated COFrontiers in plant science · 2026
    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

12 authors.

Sahana Police PatilDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Hari KrishnaDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.ORCID https://orcid.org/0000-0002-7563-8362
Narayana Bhat DevateDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.ORCID https://orcid.org/0000-0003-4665-8118
Karthik Kumar ManjunathDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
P N Vinodh KumarDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Divya ChauhanDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Shweta SinghDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Hanif KhanICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.
Chandra Nath MishraICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.
Neelu JainDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Gyanendra Pratap SinghNational Bureau of Plant Genetic Resources, New Delhi, India.
Pradeep Kumar SinghDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat, a crucial food crop, is inherently deficient in essential micronutrients such as iron and zinc. Climate change exacerbates its vulnerability to abiotic stresses like drought and heat. Developing varieties that are both climate-resilient and nutrient-dense offers a sustainable approach. The objective of this study was to identify genomic regions linked to grain Fe content (GFeC), grain Zn content (GZnC) and thousand grain weight (TGW) traits in wheat grains subjected to heat and drought stress through genome-wide association studies (GWAS). A genetically diverse set of 280 wheat genotypes was assessed across three conditions: timely sown, late sown (heat stress), and restricted irrigation (drought stress) over two years. Variation in iron and zinc levels among genotypes was significant among the conditions, with moderate heritability. Through GWAS 37 significant MTAs across the conditions were identified. For thousand grain weight (TGW) 12 MTAs, for grain Fe content (GFeC) 14 MTAs, and for grain Zn content (GZnC) 11 MTAs were detected. Notably, four MTAs for GFeC two of which were specific to heat stress were located on chromosome 7A. Among these, AX-94432820 (LSIR_23) resides near a RING-H2 finger protein gene involved in metal-ion binding. Additionally, the stable SNP AX-94953068, also on 7A, is adjacent to TraesCS7A02G171600, a gene implicated in stress response. For GZnC, the stable SNP AX-95001849 (r2 = 12.89%) was significant under both TSIR and TSRI, it maps to a plasma membrane ATPase. Using multivariate analysis, MGIDI scores were calculated, identifying nine genotypes that excelled for all three traits and conditions: RAJ4546, UP3063, HD3334, DBW296, MP1368, DBW333, UP3058, DBW332, and BRW3863. These findings will support biofortification breeding of the nutri-rich wheat varieties.

Indexed as

Edible GrainHeat-Shock ResponseIronTriticumZincDroughtsGenome-Wide Association StudyGenotypeHot TemperaturePolymorphism, Single NucleotideQuantitative Trait LociStress, PhysiologicalIronZinc

Identifiers

PMID40811572
PMCPMC12440253

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Registered trials

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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.