Evidence map›Paper›PMID 42401747›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Genome-wide association analysis and candidate gene identification for plant height in Shanxi local foxtail millet varieties.

Wei Zhou, Huibin Qin, Haigang Wang, Hui Zhi, Rui Huang, Sen Hou, Junjie Wang, Ling Chen, Xiang Tian, Zhijun Qiao and 2 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Wei Zhou *Shanxi Institute for Functional Food, Shanxi Agricultural University, Taiyuan, 030031, China.
Huibin Qin *Center for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China.
Haigang Wang *Center for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China.
Hui ZhiState Key Laboratory of Crop Gene Resources and Breeding/Key Laboratory Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Rui HuangCenter for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China.
Sen HouCenter for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China.
Junjie WangCenter for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China.
Ling ChenCenter for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China.
Xiang TianCenter for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China.
Zhijun QiaoCenter for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China. qiaozhijun@sxagri.ac.cn.
Zhixin MuCenter for Agricultural Genetic Resources Research/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on the Loess Plateau, Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Taiyuan, 030031, China. muzx2008@sina.com.
Xianmin DiaoState Key Laboratory of Crop Gene Resources and Breeding/Key Laboratory Grain Crop Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. diaoxianmin@caas.cn.ORCID https://orcid.org/0000-0002-8957-4101

Funding

Major Special Science and Technology Project of Shanxi Province 202101140601027National Key Project of Research and the Development Plan of China 2021YFF1000103National Natural Science Foundation of China 32241041Research Project for Introduced Talent of Shanxi Agricultural University 2021BQ37Science and Technology Innovation Enhancement Project of Shanxi Agricultural University CXGC2023090
6 · The paper itself

Abstract

key messageMulti-environment genome-wide association study (GWAS) and haplotype analysis identified a height-reducing WAK4 (SETIT_033071mg) haplotype as a promising target for plant height improvement in foxtail millet. Plant height is pivotal for plant architecture, harvestability, and yield potential in foxtail millet (Setaria italica). Here, we evaluated plant height in 209 diverse Shanxi local foxtail millet landraces in three field environments in Jinzhong, Shanxi, during 2020-2022, and performed whole-genome resequencing of these accessions at a mean depth of approximately 38 ×. After standard filtering, 833,157 high-quality single nucleotide polymorphisms (SNPs) were retained. Neighbor-joining and principal component analysis consistently resolved four genetic groups with minor differences in sample assignment. GWAS using EMMAX, complemented by MLMM, identified four loci associated with plant height, including two loci not previously reported. Comparative genomics with rice and Arabidopsis shortlisted ten candidate genes, among which SETIT_033071mg was prioritized for further haplotype analysis based on its genomic location and functional annotation. Haplotype analysis of SETIT_033071mg in our GWAS panel (209 accessions evaluated across three environments) and an expanded diversity panel (313 accessions evaluated across five field environments) resolved multiple major haplotypes, among which H2 was consistently associated with reduced plant height across environments. These findings refine the genomic basis of plant height in foxtail millet and provide useful targets for marker development in plant height-related breeding.

Indexed as

Genes, PlantQuantitative Trait LociSetaria PlantChromosome MappingGenome, PlantGenome-Wide Association StudyHaplotypesPhenotypePolymorphism, Single Nucleotide

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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.