Evidence map›Paper›PMID 38658793›Full record

ArticleNature genetics2024

Genomic variation in weedy and cultivated broomcorn millet accessions uncovers the genetic architecture of agronomic traits.

Qiong Lu, Hainan Zhao, Zhengquan Zhang, Yuhe Bai, Haiming Zhao, Guoqing Liu, Minxuan Liu, Yunxiao Zheng, Haiyue Zhao, Huihui Gong and 20 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Millets for a sustainable future.Journal of experimental botany · 2025
    Review
  9. Genetic dissection of a major locus SC9.1 conferring seed color in broomcorn millet (Panicum miliaceum).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  10. The pan-NLRome analysis based on 23 genomes reveals the diversity of NLRs inMolecular breeding : new strategies in plant improvement · 2024
    Article
  11. Article
  12. New genes associated with adult-onset obesity.Nature reviews. Endocrinology · 2024
    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

30 authors at 9 institutions in 1 country.

Qiong Lu *State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Hainan Zhao *State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Zhengquan Zhang *State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Yuhe Bai *State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Haiming Zhao *State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Guoqing Liu *Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, People's Republic of China.
Minxuan LiuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China.
Yunxiao ZhengState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Haiyue ZhaoState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Huihui GongState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Lingwei ChenState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Xizhen DengState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Xiangde HongState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Tianxiang LiuState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Baichuan LiState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Ping LuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China.
Feng WenTongliao Agricultural and Animal Husbandry Research Institute, Tongliao, People's Republic of China.
Lun WangCenter for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, People's Republic of China.
Zhijiang LiInstitute of Crop Resources Research, Heilongjiang Academy of Agricultural Sciences, Harbin, People's Republic of China.
Hai LiHigh Latitude Crops Institute, Shanxi Agricultural University, Datong, People's Republic of China.
Haiquan LiInstitute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, People's Republic of China.
Like ZhangNational Agricultural Technology Extension & Service Center, Beijing, People's Republic of China.
Wenhui MaNational Agricultural Technology Extension & Service Center, Beijing, People's Republic of China.
Chunqing LiuNational Agricultural Technology Extension & Service Center, Beijing, People's Republic of China.
Yan BaiState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Beibei XinState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Jian ChenState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Lizhu EState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
Jinsheng LaiState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.ORCID http://orcid.org/0000-0001-9202-9641
Weibin SongState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China. songwb@cau.edu.cn.ORCID http://orcid.org/0000-0003-3496-2585
China Agricultural University · CNCenter for Agricultural Research · CNMinistry of Finance of the People's Republic of China · CNHebei Academy of Agriculture and Forestry Sciences · CNChinese Academy of Agricultural Sciences · CNHeilongjiang Provincial Academy of Agricultural Sciences · CNSanya University · CNShanxi Agricultural University · CNTongliao Academy of Agricultural Sciences · CN

Funding

Chinese Universities Scientific Fund 2023TC019National Natural Science Foundation of China (National Science Foundation of China) 32271541National Natural Science Foundation of China (National Science Foundation of China) 32272143National Natural Science Foundation of China (National Science Foundation of China) 62031003
6 · The paper itself

Abstract

Large-scale genomic variations are fundamental resources for crop genetics and breeding. Here we sequenced 1,904 genomes of broomcorn millet to an average of 40× sequencing depth and constructed a comprehensive variation map of weedy and cultivated accessions. Being one of the oldest cultivated crops, broomcorn millet has extremely low nucleotide diversity and remarkably rapid decay of linkage disequilibrium. Genome-wide association studies identified 186 loci for 12 agronomic traits. Many causative candidate genes, such as PmGW8 for grain size and PmLG1 for panicle shape, showed strong selection signatures during domestication. Weedy accessions contained many beneficial variations for the grain traits that are largely lost in cultivated accessions. Weedy and cultivated broomcorn millet have adopted different loci controlling flowering time for regional adaptation in parallel. Our study uncovers the unique population genomic features of broomcorn millet and provides an agronomically important resource for cereal crops.

Indexed as

Crops, AgriculturalGenetic VariationGenome, PlantGenome-Wide Association StudyLinkage DisequilibriumDomesticationGenomicsPanicumPhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID38658793
OpenAlexW4395109867

What OpenQuestion holds

Textmetadata
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.