Evidence map›Paper›PMID 37811889›Full record

ArticleNucleic acids research2024

SoyMD: a platform combining multi-omics data with various tools for soybean research and breeding.

Zhiquan Yang, Chengfang Luo, Xinxin Pei, Shengbo Wang, Yiming Huang, Jiawei Li, Baohui Liu, Fanjiang Kong, Qing-Yong Yang, Chao Fang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
19.9field-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

36 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Functional Characterization ofPlants (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Recent Advances inBiology · 2026
    Review
  6. Article
  7. Article
  8. Genome-Wide Identification and Salt Tolerance Analysis of theInternational journal of molecular sciences · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Epigenomics and Non-Coding RNAs in Soybean Adaptation to Abiotic Stresses.International journal of molecular sciences · 2025
    Review
  15. A natural allele ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
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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 2 institutions in 1 country.

Zhiquan YangGuangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China.ORCID 0000-0001-6283-0753
Chengfang LuoNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China.
Xinxin PeiGuangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China.
Shengbo WangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China.
Yiming HuangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China.
Jiawei LiNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China.
Baohui LiuGuangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China.
Fanjiang KongGuangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China.ORCID 0000-0001-7138-1478
Qing-Yong YangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0002-3510-8906
Chao FangGuangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China.
Guangzhou University · CNHuazhong Agricultural University · CN

Funding

China Postdoctoral Science Foundation 2022M710875Foundation of state key laboratory of sheep genetic improvement and healthy production 2021ZD01Hainan Yazhou Bay Seed Lab JBGS-B21HJ0001Hubei Hongshan Laboratory 2021HSZD004National Key Research and Development Program 2022YFD1201501National Natural Science Foundation of China 32090064
6 · The paper itself

Abstract

Advanced multi-omics technologies offer much information that can uncover the regulatory mechanisms from genotype to phenotype. In soybean, numerous multi-omics databases have been published. Although they cover multiple omics, there are still limitations when it comes to the types and scales of omics datasets and analysis methods utilized. This study aims to address these limitations by collecting and integrating a comprehensive set of multi-omics datasets. This includes 38 genomes, transcriptomes from 435 tissue samples, 125 phenotypes from 6686 accessions, epigenome data involving histone modification, transcription factor binding, chromosomal accessibility and chromosomal interaction, as well as genetic variation data from 24 501 soybean accessions. Then, common analysis pipelines and statistical methods were applied to mine information from these multi-omics datasets, resulting in the successful establishment of a user-friendly multi-omics database called SoyMD (https://yanglab.hzau.edu.cn/SoyMD/#/). SoyMD provides researchers with efficient query options and analysis tools, allowing them to swiftly access relevant omics information and conduct comprehensive multi-omics data analyses. Another notable feature of SoyMD is its capability to facilitate the analysis of candidate genes, as demonstrated in the case study on seed oil content. This highlights the immense potential of SoyMD in soybean genetic breeding and functional genomics research.

Indexed as

Databases, FactualGlycine maxSoftwareGenomicsMultiomicsPlant Breeding

Identifiers

PMID37811889
PMCPMC10767819
OpenAlexW4387439849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.