Evidence map›Paper›PMID 42135628›Full record

ArticleBMC plant biology2026

Multi-locus GWAS to unravel the genetic architecture of grain iron, zinc and protein contents in wheat (Triticum aestivum L.) genotypes evaluated over multiple locations and years.

Akash Gaurav, Rakhi Singh, Vikas Kumar Singh, Satish Kumar, Raju Ratan Yadav, Shoeb Ahmed, Jajati Keshari Nayak, Anjali Verma, Rahul Kumar, Satinder Kaur and 6 more

Abstract read
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Article in BMC plant biology, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Akash GauravDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India.ORCID http://orcid.org/0000-0002-8723-8729
Rakhi SinghDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India.
Vikas Kumar SinghDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India.ORCID http://orcid.org/0000-0003-3704-0156
Satish KumarDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India.
Raju Ratan YadavDepartment of Molecular Biology and Genetic Engineering, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Shoeb AhmedDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India.
Jajati Keshari NayakDepartment of Molecular Biology and Genetic Engineering, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Anjali VermaDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India.
Rahul KumarDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India.
Satinder KaurSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.
Joy K RoyDepartment of Agri-Biotechnology, BRIC-National Agri-Food and Biomanufacturing Institute, Mohali, Punjab, 140306, India.
Sundip KumarDepartment of Molecular Biology and Genetic Engineering, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Bhudeva Singh TyagiICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Harindra Singh BalyanDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India.
Pushpendra Kumar GuptaDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India. pkgupta36@gmail.com.
Shailendra SharmaDepartment of Genetics and Plant Breeding, Ch. Charan Singh University (CCSU), Meerut, 250004, Uttar Pradesh, India. Shgjus6@gmail.com.ORCID http://orcid.org/0000-0002-0803-5203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicronutrient malnutrition, particularly deficiencies of iron, zinc, and protein in the human diet, remains a major global health challenge. Biofortification of staple crops such as wheat offers a cost-effective and sustainable approach to address the hidden hunger issue and improve nutritional quality by increasing the content of essential micronutrients. In this study, a panel of 283 diverse bread wheat genotypes was evaluated across eight environments (E1-E8) at three locations over three years to identify stable genomic regions associated with grain iron content (GFeC), grain zinc content (GZnC) and grain protein content (GPC). A multi-locus genome-wide association study (GWAS) was conducted to identify significant marker trait associations (MTAs) that were consistently detected across multiple environments, indicating their reliability for breeding.

resultsSignificant phenotypic variation was observed across environments for GFeC (24.5-57.0 ppm), GZnC (18.0-89.9 ppm) and GPC (7.38-21.64%), indicating strong genotype × environment interactions facilitating the identification of stable genotypes with superior micronutrient content. A total of 36 stable MTAs were consistently identified across multiple environments (locations and years), indicating the presence of robust genomic regions associated with these traits. Notably, several of these MTAs were co-localized with previously reported QTLs, MTAs, meta-QTLs, and functionally characterized genes such as TaCNR2 (cell number regulator involved in Zn transport), TaIPK (phytic acid biosynthesis regulator affecting mineral bioavailability), TaABCC (metal transporter), and TaVIT (vacuolar iron transporter involved in Fe sequestration), which are known to be involved in grain micronutrient accumulation. Candidate genes (CGs) linked to these genomic regions encoded proteins such as iron-dependent dioxygenases, F-box domain superfamily proteins, ABC transporters, phosphatases, sugar transporters, and transcription factors from families such as MYB, zinc finger, and other metal-dependent regulators.

conclusionMulti-environment evaluation identified highly significant and stable MTAs across environments. These MTAs, along with associated candidate genes, represented promising targets for future functional validation and deployment in marker-assisted selection (MAS) to develop biofortified wheat cultivars with stable performance across diverse environmental conditions.

Indexed as

IronPlant ProteinsTriticumZincEdible GrainGenome-Wide Association StudyGenotypePhenotypeQuantitative Trait LociSeedsIronPlant ProteinsZincGrain proteinGWASIronMTAsWheatZinc

Identifiers

PMID42135628
PMCPMC13277282

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