Evidence map›Paper›PMID 36261481›Full record

ArticleScientific reports2022

Genome-wide association study reveals distinct genetic associations related to leaf hair density in two lineages of wheat-wild relative Aegilops tauschii.

Mazin Mahjoob Mohamed Mahjoob, Nasrein Mohamed Kamal, Yasir Serag Alnor Gorafi, Hisashi Tsujimoto

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. A high-throughput pipeline for phenotyping, object detection and quantification of leaf trichomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  3. Article
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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 2 countries.

Mazin Mahjoob Mohamed Mahjoob *United Graduate School of Agricultural Sciences, Tottori University, Tottori, 680-8553, Japan.
Nasrein Mohamed Kamal *Wheat Research Program, Agricultural Research Corporation, P.O. Box 126, Wad Medani, Sudan.
Yasir Serag Alnor GorafiWheat Research Program, Agricultural Research Corporation, P.O. Box 126, Wad Medani, Sudan.
Hisashi TsujimotoArid Land Research Center, Tottori University, Tottori, 680-0001, Japan. tsujim@tottori-u.ac.jp.
Tottori University · JPAgricultural Research Corporation · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wild relatives of modern crops represent a promising source of genetic variation that can be mined for adaptations to climate change. Aegilops tauschii, the D-sub-genome progenitor of bread wheat (Triticum aestivum), constitutes a reservoir of genetic diversity for improving bread wheat performance and environmental resilience. Leaf hairiness plays an essential biological role in plant defense against biotic and abiotic stress. We investigated the natural variation in leaf hair density (LHD) among 293 Ae. tauschii accessions. Genome-wide association studies were performed for LHD with 2430 and 3880 DArTseq derived single nucleotide polymorphism (SNP) markers in two lineages of this species, TauL1 and TauL2, respectively. In TauL1, three marker-trait associations (MTAs) were located on chromosome 2D, whereas in TauL2, eight MTAs were identified, two associations were localized on each of the chromosomes 2D, 3D, 5D, and 7D. The markers explained phenotypic variation (R

Indexed as

AegilopsGenome-Wide Association StudyPlant LeavesQuantitative Trait LociTriticum

Identifiers

PMID36261481
PMCPMC9581923
OpenAlexW4306809766

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.