Evidence map›Paper›PMID 40314838›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Joint linkage and association analysis identifies genomic regions and candidate genes for yield-related traits in wheat.

Lei Zhuang, Lifeng Du, Haixia Liu, Hongxia Liu, Huifang Li, Yinhui Zhang, Yunchuan Liu, Jian Hou, Tian Li, Delong Yang and 2 more

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Lei Zhuang *State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Lifeng Du *Jiaozuo Academy of Agricultural and Forestry Sciences, Jiaozuo, 454000, Henan, China.
Haixia Liu *State Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hongxia LiuState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Huifang LiState Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China.
Yinhui ZhangState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yunchuan LiuState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jian HouState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Tian LiState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Delong YangState Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, China. yangdl@gsau.edu.cn.ORCID http://orcid.org/0000-0001-5370-1589
Xueyong ZhangState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. zhangxueyong@caas.cn.ORCID http://orcid.org/0000-0001-9307-4655
Chenyang HaoState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. haochenyang@caas.cn.ORCID http://orcid.org/0000-0001-8878-9701

Funding

Biological Breeding-National Science and Technology Major Project 2022ZD04017Innovation Program of Chinese Academy of Agricultural Sciences CAAS-CSCB-202401National Key Research and Development Program of China 2023YFD1200404STI 2030-Major Projects 2023ZD0406802
6 · The paper itself

Abstract

key messageTwenty-six QTLs associated with yield-related traits in wheat were identified through joint linkage and association analysis, with TraesCS5A03G0002500 being selected as a candidate gene for QGl.caas-5A.1. As a major staple crop worldwide, continuously increasing wheat yield is crucial for ensuring food security. Wheat yield is influenced by multiple traits, and elucidating the genetic basis of yield-related traits lays a foundation for future gene cloning and molecular mechanism studies. In this study, a recombinant inbred line (RIL) population derived from 292 lines of Hengguan 35/Zhoumai 18 was genotyped with the Affymetrix wheat 660 K SNP array. Combined with the phenotype of the RIL population in 13 environments, linkage analysis of six yield-related traits including plant height, grain number per spike, thousand-grain weight, grain length, grain width, and grain thickness was conducted. A total of 262 quantitative trait locus (QTLs) (logarithm of odds [LOD] > 3) were identified across 21 chromosomes, in which 50 QTLs were repeatedly detected in more than three environments. Numerous QTLs harbored cloned genes and overlapped with those reported in previous studies. Subsequently, joint analysis of genome-wide association study (GWAS) data from the advanced backcross-nested association mapping plus inter-crossed (AB-NAMIC) population and QTLs identified in the RIL population revealed 26 overlapping genomic regions. Notably, the QGl.caas-5A.1 associated with grain length on chromosome 5A was detected in both the RIL and AB-NAMIC populations, and TraesCS5A03G0002500 was selected as a candidate gene. A kompetitive allele-specific PCR (KASP) marker based on a variant [A/G] in TraesCS5A03G0002500 was developed and validated in a natural population containing 350 accessions. Taken together, these results provide valuable information for fine mapping and cloning of yield-related wheat genes in the future.

Indexed as

Genes, PlantGenetic LinkageQuantitative Trait LociTriticumChromosome MappingChromosomes, PlantGenetic Association StudiesGenotypePhenotypePolymorphism, Single Nucleotide660 K SNP arrayKASPQTL mappingWheatYield-related traits

Identifiers

PMID40314838
PMCPMC12048430

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.