Evidence map›Paper›PMID 38206376›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS.

Keli Dai, Xin Wang, Hanxiao Liu, Pengfei Qiao, Jiaxue Wang, Weiping Shi, Jie Guo, Xianmin Diao

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Identifying genetic loci associated with drought tolerance in foxtail millet (Setaria italica).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  4. Article
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  8. Genetic linkage map construction and QTL mapping for panicle-related traits in foxtail millet (Molecular breeding : new strategies in plant improvement · 2025
    Article
  9. Article
  10. Expression of Foxtail MilletBiomolecules · 2024
    Article
  11. Article
  12. Genetic dissection of ten photosynthesis-related traits based on InDel- and SNP-GWAS in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  13. 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

8 authors at 2 institutions in 2 countries.

Keli Dai *College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, 030801, China.
Xin Wang *College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, 030801, China.
Hanxiao LiuCollege of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, 030801, China.
Pengfei QiaoCollege of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, 030801, China.
Jiaxue WangCollege of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, 030801, China.
Weiping ShiCollege of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, 030801, China. shiwei968@sxau.edu.cn.
Jie GuoCollege of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, 030801, China. nxgj1115326@sxau.edu.cn.ORCID http://orcid.org/0009-0001-0216-1313
Xianmin DiaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. diaoxianmin@caas.cn.
Shanxi Agricultural University · CNChinese Academy of Agricultural Sciences · CN

Funding

Award Scientific Program for Excellent Doctors in Shanxi Province SXBYKY2021003Award Scientific Program for Excellent Doctors in Shanxi Province SXBYKY2021077National Key R&D Program of Shanxi Province 2022ZDYF107Natural Science Foundation of Shanxi Province 20210302124019Scientific and Technological Innovation Foundation of Higher Education Institutions in Shanxi 2021L120Scientific and Technological Innovation Foundation of Higher Education Institutions in Shanxi 2021L157Shanxi Agricultural University Science and Technology Innovation Fund Project 2020BQ60Shanxi Agricultural University Science and Technology Innovation Fund Project 2021BQ22
6 · The paper itself

Abstract

key messageEleven QTLs for agronomic traits were identified by RTM- and MLM-GWAS, putative candidate genes were predicted and two markers for grain weight were developed and validated. Foxtail millet (Setaria italica), the second most cultivated millet crop after pearl millet, is an important grain crop in arid regions. Seven agronomic traits of 408 diverse foxtail millet accessions from 15 provinces in China were evaluated in three environments. They were clustered into two divergent groups based on genotypic data using ADMIXTURE, which was highly consistent with their geographical distribution. Two models for genome-wide association studies (GWAS), namely restricted two-stage multi-locus multi-allele (RTM)-GWAS and mixed linear model (MLM)-GWAS, were used to dissect the genetic architecture of the agronomic traits based on 13,723 SNPs. Eleven quantitative trait loci (QTLs) for seven traits were identified using two models (RTM- and MLM-GWAS). Among them, five were considered stable QTLs that were identified in at least two environments using MLM-GWAS. One putative candidate gene (SETIT_006045mg, Chr4: 744,701-746,852) that can enhance grain weight per panicle was identified based on homologous gene comparison and gene expression analysis and was validated by haplotype analysis of 330 accessions with high-depth (10×) resequencing data (unpublished). In addition, homologous gene comparison and haplotype analysis identified one putative foxtail millet ortholog (SETIT_032906mg, Chr2: 5,020,600-5,029,771) with rice affecting the target traits. Two markers (cGWP6045 and kTGW2906) were developed and validated and can be used for marker-assisted selection of foxtail millet with high grain weight. The results provide a fundamental resource for foxtail millet genetic research and breeding and demonstrate the power of integrating RTM- and MLM-GWAS approaches as a complementary strategy for investigating complex traits in foxtail millet.

Indexed as

Setaria PlantEdible GrainGenome-Wide Association StudyPhenotypePlant BreedingQuantitative Trait Loci

Identifiers

PMID38206376
OpenAlexW4390753730

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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.