Evidence map›Paper›PMID 28644843›Full record

ArticlePloS one2017

A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq.

Jun Wang, Zhilan Wang, Xiaofen Du, Huiqing Yang, Fang Han, Yuanhuai Han, Feng Yuan, Linyi Zhang, Shuzhong Peng, Erhu Guo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.3field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Genetic dissection of foxtail millet bristles using combined QTL mapping and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Fine mapping and identification of the geneFrontiers in plant science · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Improvement of millets in the post-genomic era.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
  13. Review
  14. Multi-omics intervention inFrontiers in plant science · 2022
    Review
  15. Fine mapping ofMolecular breeding : new strategies in plant improvement · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. High-depth resequencing of 312 accessions reveals the local adaptation of foxtail millet.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  20. 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

10 authors at 3 institutions in 1 country.

Jun WangMillet Research Institute, Shanxi Academy of Agricultural Sciences, Changzhi, Shanxi, China.ORCID http://orcid.org/0000-0003-3409-5848
Zhilan WangMillet Research Institute, Shanxi Academy of Agricultural Sciences, Changzhi, Shanxi, China.
Xiaofen DuMillet Research Institute, Shanxi Academy of Agricultural Sciences, Changzhi, Shanxi, China.
Huiqing YangMillet Research Institute, Shanxi Academy of Agricultural Sciences, Changzhi, Shanxi, China.
Fang HanResearch Institute of Agriculture Sciences of Yanan, Yanan, Shaanxi, China.
Yuanhuai HanShanxi Agricultural University, Taigu, Shanxi, China.
Feng YuanMillet Research Institute, Shanxi Academy of Agricultural Sciences, Changzhi, Shanxi, China.
Linyi ZhangMillet Research Institute, Shanxi Academy of Agricultural Sciences, Changzhi, Shanxi, China.
Shuzhong PengMillet Research Institute, Shanxi Academy of Agricultural Sciences, Changzhi, Shanxi, China.
Erhu GuoMillet Research Institute, Shanxi Academy of Agricultural Sciences, Changzhi, Shanxi, China.
Shanxi Academy of Agricultural Sciences · CNShanxi Agricultural University · CNYanan University Affiliated Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foxtail millet (Setaria italica), a very important grain crop in China, has become a new model plant for cereal crops and biofuel grasses. Although its reference genome sequence was released recently, quantitative trait loci (QTLs) controlling complex agronomic traits remains limited. The development of massively parallel genotyping methods and next-generation sequencing technologies provides an excellent opportunity for developing single-nucleotide polymorphisms (SNPs) for linkage map construction and QTL analysis of complex quantitative traits. In this study, a high-throughput and cost-effective RAD-seq approach was employed to generate a high-density genetic map for foxtail millet. A total of 2,668,587 SNP loci were detected according to the reference genome sequence; meanwhile, 9,968 SNP markers were used to genotype 124 F2 progenies derived from the cross between Hongmiaozhangu and Changnong35; a high-density genetic map spanning 1648.8 cM, with an average distance of 0.17 cM between adjacent markers was constructed; 11 major QTLs for eight agronomic traits were identified; five co-dominant DNA markers were developed. These findings will be of value for the identification of candidate genes and marker-assisted selection in foxtail millet.

Indexed as

High-Throughput Nucleotide SequencingQuantitative Trait LociChromosome MappingChromosomes, PlantCost-Benefit AnalysisGenetic MarkersPhenotypePolymorphism, Single NucleotideSetaria PlantGenetic Markers

Identifiers

PMID28644843
PMCPMC5482450
OpenAlexW2689745011

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.