Evidence map›Paper›PMID 33740889›Full record

ArticleBMC plant biology2021

Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat.

Le Gao, Chengsheng Meng, Tengfei Yi, Ke Xu, Huiwen Cao, Shuhua Zhang, Xueju Yang, Yong Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
6.6field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  15. Dissecting the genetic architecture of flag leaf morphology in Sichuan Wheat Germplasm using genome-wide association study.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  20. Meta-QTL mapping for wheat thousand kernel weight.Frontiers in plant science · 2024
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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 1 institution in 1 country.

Le Gao *State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Chengsheng Meng *State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Tengfei YiState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Ke XuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Huiwen CaoState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Shuhua ZhangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Xueju YangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China. shmyxj@126.com.ORCID http://orcid.org/0000-0003-3064-1493
Yong ZhaoState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, 071000, Hebei, China. zhaoyong_0423@163.com.
Hebei Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying the loci and dissecting the genetic architecture underlying wheat yield- and quality-related traits are essential for wheat breeding. A genome-wide association study was conducted using a high-density 90 K SNP array to analyze the yield- and quality-related traits of 543 bread wheat varieties.

resultsA total of 11,140 polymorphic SNPs were distributed on 21 chromosomes, including 270 significant SNPs associated with 25 yield- and quality-related traits. Additionally, 638 putative candidate genes were detected near the significant SNPs based on BLUP data, including three (TraesCS7A01G482000, TraesCS4B01G343700, and TraesCS6B01G295400) related to spikelet number per spike, diameter of the first internode, and grain volume. The three candidate genes were further analyzed using stage- and tissue- specific gene expression data derived from an RNA-seq analysis. These genes are promising candidates for enhancing yield- and quality-related traits in wheat.

conclusionsThe results of this study provide a new insight to understand the genetic basis of wheat yield and quality. Furthermore, the markers detected in this study may be applicable for marker-assisted selection in wheat breeding programs.

Indexed as

Edible GrainGenetic MarkersGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotideTriticumGenetic MarkersGWASQualitySingle nucleotide polymorphismWheatYield

Identifiers

PMID33740889
PMCPMC7980635
OpenAlexW3138788450

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.