Evidence map›Paper›PMID 32820220›Full record

ArticleScientific reports2020

Detection of genomic regions associated with tiller number in Iranian bread wheat under different water regimes using genome-wide association study.

Sayedeh Saba Bilgrami, Hadi Darzi Ramandi, Vahid Shariati, Khadijeh Razavi, Elahe Tavakol, Barat Ali Fakheri, Nafiseh Mahdi Nezhad, Mostafa Ghaderian

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 43 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 10 pooled it
10.4field-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

43 citing papers in PubMed, 10 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Dissection of QTLs underlying the genetic basis of drought resistance in wheat: a meta-analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Pooled it
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  3. Meta-analysis of seed weight QTLome using a consensus and highly dense genetic map in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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  8. Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
  9. Pooled it
  10. Pinpointing genomic regions associated with root system architecture in rice through an integrative meta-analysis approach.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
  11. Article
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  15. The selection and application of tiller number QTLs in modern wheat breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  17. Review
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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

8 authors at 5 institutions in 2 countries.

Sayedeh Saba BilgramiDepartment of Plant Molecular Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Hadi Darzi RamandiDepartment of Molecular Physiology, Agricultural Biotechnology Research Institute of Iran, Research, Education and Extension Organization (AREEO), Karaj, Iran.
Vahid ShariatiDepartment of Plant Molecular Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran. vshariati@nigeb.ac.ir.
Khadijeh RazaviDepartment of Plant Molecular Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran. razavi@nigeb.ac.ir.
Elahe TavakolDepartment of Plant Production and Genetics, Shiraz University, Shiraz, Iran.
Barat Ali FakheriDepartment of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Iran.
Nafiseh Mahdi NezhadDepartment of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Iran.
Mostafa GhaderianDepartment of Plant Breeding and Biotechnology, Faculty of Agriculture, Isfahan University of Technology, Isfahan, Iran.
National Institute of Genetic Engineering and Biotechnology · IRZabol University · IRAgricultural Biotechnology Research Institute of Iran · IRIsfahan University of Technology · IRShiraz University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two of the important traits for wheat yield are tiller and fertile tiller number, both of which have been thought to increase cereal yield in favorable and unfavorable environments. A total of 6,349 single nucleotide polymorphism (SNP) markers from the 15 K wheat Infinium array were employed for genome-wide association study (GWAS) of tillering number traits, generating a physical distance of 14,041.6 Mb based on the IWGSC wheat genome sequence. GWAS analysis using Fixed and random model Circulating Probability Unification (FarmCPU) identified a total of 47 significant marker-trait associations (MTAs) for total tiller number (TTN) and fertile tiller number (FTN) in Iranian bread wheat under different water regimes. After applying a 5% false discovery rate (FDR) threshold, a total of 13 and 11 MTAs distributed on 10 chromosomes were found to be significantly associated with TTN and FTN, respectively. Linked single nucleotide polymorphisms for IWB39005 (2A) and IWB44377 (7A) were highly significantly associated (FDR < 0.01) with TTN and FTN traits. Moreover, to validate GWAS results, meta-analysis was performed and 30 meta-QTL regions were identified on 11 chromosomes. The integration of GWAS and meta-QTLs revealed that tillering trait in wheat is a complex trait which is conditioned by the combined effects of minor changes in multiple genes. The information provided by this study can enrich the currently available candidate genes and genetic resources pools, offering evidence for subsequent analysis of genetic adaptation of wheat to different climatic conditions of Iran and other countries.

Indexed as

Genome, PlantGenome-Wide Association StudyWaterChromosome MappingEdible GrainGenes, PlantGenetic MarkersIranLinkage DisequilibriumQuantitative Trait LociTriticumGenetic MarkersWater

Identifiers

PMID32820220
PMCPMC7441066
OpenAlexW3077305516

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.