Evidence map›Paper›PMID 39709400›Full record

ArticleBMC plant biology2024

Single- and multi-locus genome-wide association study reveals genomic regions of thirteen yield-related traits in common wheat.

Yuxia Lv, Liansheng Dong, Xiatong Wang, Linhong Shen, Wenbo Lu, Fan Si, Yaoyao Zhao, Guanju Zhu, Yiting Ding, Shujun Cao and 5 more

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Identification of a novel major QTL and F-box candidate genes controlling seed dormancy in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Review
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

15 authors.

Yuxia Lv *College of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Liansheng Dong *College of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Xiatong WangCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Linhong ShenCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Wenbo LuCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Fan SiCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Yaoyao ZhaoCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Guanju ZhuCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Yiting DingCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Shujun CaoCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Jiajia CaoCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Jie LuCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Chuanxi MaCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China.
Cheng ChangCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China. changtgw@126.com.
Haiping ZhangCollege of Agronomy, Anhui Agricultural University, Key Laboratory of Wheat Biology and Genetic Improvement On Southern Yellow & Huai River Valley, Ministry of Agriculture, Hefei, 230036, Anhui, China. zhhp20@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic dissection of yield-related traits can be used to improve wheat yield through molecular design breeding. In this study, we genotyped 245 wheat varieties and measured 13 yield-related plant height-, grain-, and spike-related traits, in seven environments, and identified 778 loci for these traits by genome-wide association study (GWAS) using single- and multi-locus models. Among these loci, nine were major, of which seven were novel, including Qph/lph.ahau-7A for plant height (PH) and leaf pillow height (LPH), Qngps/sps.ahau-1A for number of grains per spike (NGPS) and spikelet number per spike (SPS), Qsd.ahau-2B.1 and Qsd.ahau-5A.2 for spikelet density (SD), Qlph.ahau-7B.2 for LPH, Qgl.ahau-7B.3 for grain length (GL), and Qsl.ahau-3A.3 for spike length (SL). Through marker development, re-GWAS, gene annotation and cloning, and sequence variation, haplotype, and expression analyses, we confirmed two novel major loci and identified potential candidate genes, TraesCS7A02G118000 (named TaF-box-7A) and TraesCS1A02G190200 (named TaBSK2-1A) underlying Qph/lph.ahau-7A for PH-related traits and Qngps/sps.ahau-1A for spike-related traits. We also reported two favorable haplotypes, including TaF-box-Hap1 associated with low PH and LPH and TaBSK2-Hap3 associated with high NGPS and SPS. In summary, these findings can be applied to improve wheat yield and enrich our understanding of the complex genetic mechanisms of yield-related traits.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociTriticumEdible GrainGenome, PlantHaplotypesPhenotypeGenome-wide association studyMarker-trait associationSingle nucleotide polymorphismWheatYield

Identifiers

PMID39709400
PMCPMC11662590

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LicenceCC BY-NC-ND
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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.