Evidence map›Paper›PMID 37663546›Full record

ArticleMolecular breeding : new strategies in plant improvement2023

An omics strategy increasingly improves the discovery of genetic loci and genes for seed-coat color formation in soybean.

Jian Song, Ruixin Xu, Qingyuan Guo, Caiyu Wu, Yinghui Li, Xuewen Wang, Jun Wang, Li-Juan Qiu

Abstract read
In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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  4. A R2R3-MYB Transcription Factor ofInternational journal of molecular sciences · 2025
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  6. Molecular breeding : new strategies in plant improvement · 2024
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jian Song *Yangtze University, Jingzhou, 434025 Hubei P.R. China.ORCID 0000-0002-5830-5435
Ruixin Xu *Yangtze University, Jingzhou, 434025 Hubei P.R. China.
Qingyuan Guo *Yangtze University, Jingzhou, 434025 Hubei P.R. China.
Caiyu WuYangtze University, Jingzhou, 434025 Hubei P.R. China.
Yinghui LiThe National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Crop Gene Resource and Germplasm Enhancement (MOA)/Key Laboratory of Soybean Biology (Beijing) (MOA), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081 China.
Xuewen WangDepartment of Genetics, University of Georgia, Athens, GA 30602 USA.
Jun WangYangtze University, Jingzhou, 434025 Hubei P.R. China.
Li-Juan QiuThe National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Crop Gene Resource and Germplasm Enhancement (MOA)/Key Laboratory of Soybean Biology (Beijing) (MOA), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenotypic color of seeds is a complex agronomic trait and has economic and biological significance. The genetic control and molecular regulation mechanisms have been extensively studied. Here, we used a multi-omics strategy to explore the color formation in soybean seeds at a big data scale. We identified 13 large quantitative trait loci (QTL) for color with bulk segregating analysis in recombinant inbreeding lines. GWAS analysis of colors and decomposed attributes in 763 germplasms revealed associated SNP sites perfectly falling in five major QTL, suggesting inherited regulation on color during natural selection. Further transcriptomics analysis before and after color accumulation revealed 182 differentially expression genes (DEGs) in the five QTL, including known genes Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-023-01414-z.

Indexed as

Bulk sequencingDifferential expressionGWASRegulationSeed colorSoybean

Identifiers

PMID37663546
PMCPMC10471558

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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.