Evidence map›Paper›PMID 37641093›Full record

ArticleGenome biology2023

A high-resolution genotype-phenotype map identifies the TaSPL17 controlling grain number and size in wheat.

Yangyang Liu, Jun Chen, Changbin Yin, Ziying Wang, He Wu, Kuocheng Shen, Zhiliang Zhang, Lipeng Kang, Song Xu, Aoyue Bi and 17 more

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Regulation of spikelet number during wheat spike development.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Large-scale identification and association analysis of wheat grain weight genes using rice orthologs.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. International journal of molecular sciences · 2024
    Article
  12. Article
  13. Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  14. The Class III Peroxidase geneFrontiers in plant science · 2024
    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

27 authors.

Yangyang Liu *Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Jun Chen *Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
Changbin Yin *State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China.
Ziying WangKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
He WuKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Kuocheng ShenKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Zhiliang ZhangUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Lipeng KangUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Song XuUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Aoyue BiUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Xuebo ZhaoUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Daxing XuUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Zhonghu HeInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
Xueyong ZhangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
Chenyang HaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
Jianhui WuState Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yan GongInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
Xuchang YuKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Zhiwen SunKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Botao YeKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Danni LiuKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Lili ZhangKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Liping ShenKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Yuanfeng HaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China. haoyuanfeng@caas.cn.
Youzhi MaInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China. mayouzhi@caas.cn.
Fei LuUniversity of Chinese Academy of Sciences, Beijing, 100049, China. flu@genetics.ac.cn.
Zifeng GuoKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China. guozifeng@ibcas.ac.cn.ORCID http://orcid.org/0000-0003-4261-4492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge-scale genotype-phenotype association studies of crop germplasm are important for identifying alleles associated with favorable traits. The limited number of single-nucleotide polymorphisms (SNPs) in most wheat genome-wide association studies (GWASs) restricts their power to detect marker-trait associations. Additionally, only a few genes regulating grain number per spikelet have been reported due to sensitivity of this trait to variable environments.

resultsWe perform a large-scale GWAS using approximately 40 million filtered SNPs for 27 spike morphology traits. We detect 132,086 significant marker-trait associations and the associated SNP markers are located within 590 associated peaks. We detect additional and stronger peaks by dividing spike morphology into sub-traits relative to GWAS results of spike morphology traits. We propose that the genetic dissection of spike morphology is a powerful strategy to detect signals for grain yield traits in wheat. The GWAS results reveal that TaSPL17 positively controls grain size and number by regulating spikelet and floret meristem development, which in turn leads to enhanced grain yield per plant. The haplotypes at TaSPL17 indicate geographical differentiation, domestication effects, and breeding selection.

conclusionOur study provides valuable resources for genetic improvement of spike morphology and a fast-forward genetic solution for candidate gene detection and cloning in wheat.

Indexed as

Genome-Wide Association StudyTriticumHaplotypesPhenotypePlant BreedingGrain numberGrain sizeGWASTaSPL17Wheat

Identifiers

PMID37641093
PMCPMC10463835

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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.