Evidence map›Paper›PMID 31152161›Full record

ArticleNature genetics2019

Genome assembly of a tropical maize inbred line provides insights into structural variation and crop improvement.

Ning Yang, Jie Liu, Qiang Gao, Songtao Gui, Lu Chen, Linfeng Yang, Juan Huang, Tianquan Deng, Jingyun Luo, Lijuan He and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 1 pooled it
–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

162 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Research evolution of flat peach (Frontiers in plant science · 2025
    Pooled it
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  4. PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  13. Review
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  18. Article
  19. Article
  20. Genome assemblies of IndianNAR genomics and bioinformatics · 2025
    Article

102 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Ning YangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0002-6354-3534
Jie LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0002-1129-9584
Qiang GaoBGI Genomics, BGI Shenzhen, Shenzhen, China.
Songtao GuiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Lu ChenNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Linfeng YangBGI Genomics, BGI Shenzhen, Shenzhen, China.
Juan HuangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Tianquan DengBGI Genomics, BGI Shenzhen, Shenzhen, China.
Jingyun LuoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Lijuan HeBGI Genomics, BGI Shenzhen, Shenzhen, China.
Yuebin WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Pengwei XuBGI Genomics, BGI Shenzhen, Shenzhen, China.ORCID http://orcid.org/0000-0001-6686-8716
Yong PengNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Zhuoxing ShiBGI Genomics, BGI Shenzhen, Shenzhen, China.
Liu LanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Zhiyun MaBGI Genomics, BGI Shenzhen, Shenzhen, China.
Xin YangBGI Genomics, BGI Shenzhen, Shenzhen, China.
Qianqian ZhangBGI Genomics, BGI Shenzhen, Shenzhen, China.
Mingzhou BaiBGI Genomics, BGI Shenzhen, Shenzhen, China.
San LiBGI Genomics, BGI Shenzhen, Shenzhen, China.
Wenqiang LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Lei LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
David JacksonNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0002-4269-7649
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. yjianbing@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0001-8650-7811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize is one of the most important crops globally, and it shows remarkable genetic diversity. Knowledge of this diversity could help in crop improvement; however, gold-standard genomes have been elucidated only for modern temperate varieties. Here, we present a high-quality reference genome (contig N50 of 15.78 megabases) of the maize small-kernel inbred line, which is derived from a tropical landrace. Using haplotype maps derived from B73, Mo17 and SK, we identified 80,614 polymorphic structural variants across 521 diverse lines. Approximately 22% of these variants could not be detected by traditional single-nucleotide-polymorphism-based approaches, and some of them could affect gene expression and trait performance. To illustrate the utility of the diverse SK line, we used it to perform map-based cloning of a major effect quantitative trait locus controlling kernel weight-a key trait selected during maize improvement. The underlying candidate gene ZmBARELY ANY MERISTEM1d provides a target for increasing crop yields.

Indexed as

Genetic Association StudiesGenome, PlantGenomicsPhenotypeComputational BiologyHigh-Throughput Nucleotide SequencingInbreedingMolecular Sequence AnnotationPlant BreedingPlants, Genetically ModifiedPolymorphism, Single NucleotideQuantitative Trait, HeritableZea mays

Identifiers

What OpenQuestion holds

Textmetadata
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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.