Evidence map›Paper›PMID 39994446›Full record

ArticleScientific reports2025

Identification of quantitative trait nucleotides for grain quality in bread wheat under heat stress.

Latief Bashir, Neeraj Budhlakoti, Anjan Kumar Pradhan, Divya Sharma, Antil Jain, Saman Saim Rehman, Vishal Kondal, Sherry R Jacob, Rakesh Bhardwaj, Kiran Gaikwad and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

17 authors.

Latief BashirICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.ORCID http://orcid.org/0009-0004-1436-3731
Neeraj BudhlakotiICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Anjan Kumar PradhanICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Divya SharmaICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Antil JainICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Saman Saim RehmanICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Vishal KondalICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Sherry R JacobICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Rakesh BhardwajICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Kiran GaikwadICAR-Indian Agricultural Research Institute, New Delhi, India.
Dwijesh Chandra MishraICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Abhishek PandeyPunjab Agricultural University, Ludhiana, India.
Satinder KaurPunjab Agricultural University, Ludhiana, India.
Pradeep Kumar BhatiBorlaug Institute for South Asia (BISA) & CIMMYT-India, BISA Farm Ladhowal, Ludhiana, Punjab, 141008, India.
Rakesh SinghICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Gyanendra Pratap SinghICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Sundeep KumarICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India. Sundeep.Kumar@icar.gov.in.ORCID http://orcid.org/0000-0003-1229-2891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat stress is a critical factor affecting global wheat production and productivity. In this study, out of 500 studied germplasm lines, a diverse panel of 126 wheat genotypes grown under twelve distinct environmental conditions was analyzed. Using 35 K single-nucleotide polymorphism (SNP) genotyping assays and trait data on five biochemical parameters, including grain protein content (GPC), grain amylose content (GAC), grain total soluble sugars (TSS), grain iron (Fe), and zinc (Zn) content, six multi-locus GWAS (ML-GWAS) models were employed for association analysis. This revealed 67 stable quantitative trait nucleotides (QTNs) linked to grain quality parameters, explaining phenotypic variations ranging from 3 to 44.5% under heat stress conditions. By considering the results in consensus to at least three GWAS models and three locations, the final QTNs were reduced to 16, with 12 being novel findings. Notably, two novel markers, AX-94461119 (chromosome 2A) and AX-95220192 (chromosome 7D), associated with grain Fe and Zn, respectively, were validated through Kompetitive Allele Specific Polymerase Chain Reaction (KASP) approach. Candidate genes, including the P-loop-containing nucleoside triphosphate hydrolases (NTPases), Bowman-Birk type proteinase inhibitors (BBI), and the NPSN13 protein, were identified within associated genomic regions. These genes could serve as potential targets for enhancing quality traits and heat tolerance in future wheat improvement programs.

Indexed as

BreadEdible GrainHeat-Shock ResponseNucleotidesQuantitative Trait LociTriticumGenome-Wide Association StudyGenotypePhenotypePolymorphism, Single NucleotideNucleotidesHeat stress toleranceKASP validationML-GWASQTNsQuality traitsWheat

Identifiers

PMID39994446
PMCPMC11850717

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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.