Evidence map›Paper›PMID 35858934›Full record

ArticleScientific reports2022

Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study.

Gopalareddy Krishnappa, Hanif Khan, Hari Krishna, Satish Kumar, Chandra Nath Mishra, Om Parkash, Narayana Bhat Devate, Thirunavukkarasu Nepolean, Nagenahalli Dharmegowda Rathan, Harohalli Masthigowda Mamrutha and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
10.1field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Genome-wide association study reveals genetic loci for ten trace elements in foxtail millet (Setaria italica).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

16 authors at 5 institutions in 1 country.

Gopalareddy KrishnappaICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Hanif KhanICAR-Indian Institute of Wheat and Barley Research, Karnal, India. Hanif.Khan@icar.gov.in.
Hari KrishnaICAR-Indian Agricultural Research Institute, New Delhi, India.
Satish KumarICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Chandra Nath MishraICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Om ParkashICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Narayana Bhat DevateICAR-Indian Agricultural Research Institute, New Delhi, India.
Thirunavukkarasu NepoleanICAR-Indian Agricultural Research Institute, New Delhi, India.
Nagenahalli Dharmegowda RathanICAR-Indian Agricultural Research Institute, New Delhi, India.
Harohalli Masthigowda MamruthaICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Puja SrivastavaPunjab Agricultural University (PAU), Ludhiana, India.
Suma BiradarUniversity of Agricultural Sciences, Dharwad, India.
Govindareddy UdayUniversity of Agricultural Sciences, Dharwad, India.
Monu KumarICAR-Indian Agricultural Research Institute, Gauria Karma, Jharkhand, India.
Gyanendra SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, India.
Gyanendra Pratap SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, India. GP.Singh@icar.gov.in.
Indian Institute of Wheat and Barley Research · INIndian Agricultural Research Institute · INUniversity of Agricultural Sciences, Dharwad · INIndian Institute of Millets Research · INPunjab Agricultural University · IN

Funding

Bill & Melinda Gates Foundation 1011099
6 · The paper itself

Abstract

Genetic biofortification is recognized as a cost-effective and sustainable strategy to reduce micronutrient malnutrition. Genomic regions governing grain iron concentration (GFeC), grain zinc concentration (GZnC), and thousand kernel weight (TKW) were investigated in a set of 280 diverse bread wheat genotypes. The genome-wide association (GWAS) panel was genotyped using 35 K Axiom Array and phenotyped in five environments. The GWAS analysis showed a total of 17 Bonferroni-corrected marker-trait associations (MTAs) in nine chromosomes representing all the three wheat subgenomes. The TKW showed the highest MTAs (7), followed by GZnC (5) and GFeC (5). Furthermore, 14 MTAs were identified with more than 10% phenotypic variation. One stable MTA i.e. AX-95025823 was identified for TKW in both E4 and E5 environments along with pooled data, which is located at 68.9 Mb on 6A chromosome. In silico analysis revealed that the SNPs were located on important putative candidate genes such as Multi antimicrobial extrusion protein, F-box domain, Late embryogenesis abundant protein, LEA-18, Leucine-rich repeat domain superfamily, and C3H4 type zinc finger protein, involved in iron translocation, iron and zinc homeostasis, and grain size modifications. The identified novel MTAs will be validated to estimate their effects in different genetic backgrounds for subsequent use in marker-assisted selection. The identified SNPs will be valuable in the rapid development of biofortified wheat varieties to ameliorate the malnutrition problems.

Indexed as

MalnutritionTriticumEdible GrainGenome-Wide Association StudyIronPhenotypePolymorphism, Single NucleotideZincIronZinc

Identifiers

PMID35858934
PMCPMC9300641
OpenAlexW4286005583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.