Evidence map›Paper›PMID 37776411›Full record

ArticleMolecular biology reports2023

Genetic analysis of iron, zinc and grain yield in wheat-Aegilops derivatives using multi-locus GWAS.

Harneet Kaur, Prachi Sharma, Jitendra Kumar, Vikas Kumar Singh, Neeraj Kumar Vasistha, Vijay Gahlaut, Vikrant Tyagi, Shailender Kumar Verma, Sukhwinder Singh, H S Dhaliwal and 1 more

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Article in Molecular biology reports, 2023. 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
5.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 7 institutions in 3 countries.

Harneet KaurDepartment of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India.
Prachi SharmaDepartment of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India.
Jitendra KumarNational Agri-Food Biotechnology Institute, Sector-81, Mohali, Punjab, 140306, India.
Vikas Kumar SinghDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, U.P., 250004, India.
Neeraj Kumar VasisthaDepartment of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India.
Vijay GahlautDepartment of Biotechnology, Chandigarh University, Gharuan, Mohali, Punjab, 140413, India. zone4vijay@gmail.com.ORCID http://orcid.org/0000-0003-4381-3573
Vikrant TyagiDepartment of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India.
Shailender Kumar VermaDepartment of Environmental Studies, University of Delhi, Delhi, 110007, India.
Sukhwinder SinghInternational Maize and Wheat Improvement Center (CIMMYT), El Batan, Texcoco, Mexico.
H S DhaliwalDepartment of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India.
Imran SheikhDepartment of Genetics-Plant Breeding and Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib, Sirmaur, 173101, India. imransheikh485@gmail.com.
Eternal University · INCentro Internacional de Mejoramiento de Maíz Y Trigo · MXChandigarh University · INChaudhary Charan Singh University · INNational Agri-Food Biotechnology Institute · INRajiv Gandhi University · INUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWheat is a major staple crop and helps to reduce worldwide micronutrient deficiency. Investigating the genetics that control the concentrations of iron (Fe) and zinc (Zn) in wheat is crucial. Hence, we undertook a comprehensive study aimed at elucidating the genomic regions linked to the contents of Fe and Zn in the grain. METHODS AND

resultsWe performed the multi-locus genome-wide association (ML-GWAS) using a panel of 161 wheat-Aegilops substitution and addition lines to dissect the genomic regions controlling grain iron (GFeC), and grain zinc (GZnC) contents. The wheat panel was genotyped using 10,825 high-quality SNPs and phenotyped in three different environments (E1-E3) during 2017-2019. A total of 111 marker-trait associations (MTAs) (at p-value < 0.001) were detected that belong to all three sub-genomes of wheat. The highest number of MTAs were identified for GFeC (58), followed by GZnC (44) and yield (9). Further, six stable MTAs were identified for these three traits and also two pleiotropic MTAs were identified for GFeC and GZnC. A total of 1291 putative candidate genes (CGs) were also identified for all three traits. These CGs encode a diverse set of proteins, including heavy metal-associated (HMA), bZIP family protein, AP2/ERF, and protein previously associated with GFeC, GZnC, and grain yield.

conclusionsThe significant MTAs and CGs pinpointed in this current study are poised to play a pivotal role in enhancing both the nutritional quality and yield of wheat, utilizing marker-assisted selection (MAS) techniques.

Indexed as

AegilopsIronEdible GrainGenome, PlantGenome-Wide Association StudyTriticumZincIronZincAegilopsGenotyping-by-sequencingGWASIronWheatZinc

Identifiers

PMID37776411
OpenAlexW4387212778

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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.