Evidence map›Paper›PMID 33024155›Full record

ArticleScientific reports2020

Discovery and validation of candidate genes for grain iron and zinc metabolism in pearl millet [Pennisetum glaucum (L.) R. Br.].

Mahesh D Mahendrakar, Maheshwari Parveda, P B Kavi Kishor, Rakesh K Srivastava

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.9field-weighted citation impact, top 7% 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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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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  12. Achieving nutritional security in India through iron and zinc biofortification in pearl millet (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
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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

4 authors at 2 institutions in 1 country.

Mahesh D MahendrakarInternational Crops Research Institute for Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, 502 324, India.
Maheshwari ParvedaDepartment of Genetics, Osmania University (OU), Hyderabad, 500 007, India.
P B Kavi KishorDepartment of Genetics, Osmania University (OU), Hyderabad, 500 007, India. pbkavi@yahoo.com.
Rakesh K SrivastavaInternational Crops Research Institute for Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, 502 324, India. r.k.srivastava@cgiar.org.
Osmania University · INInternational Crops Research Institute for the Semi-Arid Tropics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pearl millet is an important crop for alleviating micronutrient malnutrition through genomics-assisted breeding for grain Fe (GFeC) and Zn (GZnC) content. In this study, we identified candidate genes related to iron (Fe) and zinc (Zn) metabolism through gene expression analysis and correlated it with known QTL regions for GFeC/GZnC. From a total of 114 Fe and Zn metabolism-related genes that were selected from the related crop species, we studied 29 genes. Different developmental stages exhibited tissue and stage-specific expressions for Fe and Zn metabolism genes in parents contrasting for GFeC and GZnC. Results revealed that PglZIP, PglNRAMP and PglFER gene families were candidates for GFeC and GZnC. Ferritin-like gene, PglFER1 may be the potential candidate gene for GFeC. Promoter analysis revealed Fe and Zn deficiency, hormone, metal-responsive, and salt-regulated elements. Genomic regions underlying GFeC and GZnC were validated by annotating major QTL regions for grain Fe and Zn. Interestingly, PglZIP and PglNRAMP gene families were found common with a previously reported linkage group 7 major QTL region for GFeC and GZnC. The study provides insights into the foundation for functional dissection of different Fe and Zn metabolism genes homologs and their subsequent use in pearl millet molecular breeding programs globally.

Indexed as

DNA ShufflingGenes, PlantGenetic Association StudiesIronNutritional Physiological PhenomenaPennisetumPlant Physiological PhenomenaPlant ProteinsZincIronPlant ProteinsZinc

Identifiers

PMID33024155
PMCPMC7538586
OpenAlexW3092576480

What OpenQuestion holds

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LicenceCC BY
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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.