Integrative multi-omics analysis reveals the domestication mechanism of black rice

Abstract Black rice, a nutritionally superior yet genetically uncharacterized germplasm, exhibits extreme rarity (∼ 1%) in natural rice populations. Here, we establish a global germplasm collection of 367 black rice accessions and employ integrated multi-omics (genomics, transcriptomics, metabolomics) to dissect its divergence from white rice. Population genomic analyses reveal a two-step domestication trajectory for black rice from wild progenitor: initial Rc-mediated loss of proanthocyanidin pigmentation, followed by OsKala4/OsMYB3-driven anthocyanin activation under artificial selection. Genome-wide scans identify 238 differentially selected regions between black and white rice that orchestrate extensive transcriptomic reprogramming (up to 22% differentially expressed genes) and metabolomic remodeling (up to 32% differentially accumulated metabolites) in black rice seeds. Multi-omics analysis and genome-wide association study uncover previously uncharacterized regulators (OsWRKY1, OsBBX13, OsTT12) that synergistically enhance the MBW transcriptional complex to regulate anthocyanin biosynthesis and vacuolar sequestration. Furthermore, we reconstructed a comprehensive biosynthetic pathway network for phenolic acids and flavonoids in black rice through integration of experimental metabolomic and transcriptomic datasets with KEGG pathway annotations. Finally, we evaluated the selection status of 225 quantitative trait genes and compared agronomic traits between black and white rice. Our findings provide a molecular roadmap for precision breeding strategies to develop elite black rice cultivars with optimized nutritional and agronomic performance.

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Publication Details

Journal
National Science Review
Published
2025-11-13
DOI
https://doi.org/10.1093/nsr/nwaf497
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrative multi-omics analysis reveals the domestication mechanism of black rice

Xinheng Wang, Zenan Yang, Yidan Ouyang, Qifa Zhang et al.
National Science Review
Plant Gene Expression Analysis
article

Integrative multi-omics analysis reveals the domestication mechanism of black rice

Xinheng Wang, Zenan Yang, Yidan Ouyang, Qifa Zhang, Chen Qiu, Zaihui Zhou, Hao Chen, Jianwei Zhang, Weibo Xie, Qinglu Zhang, Yao Zhou, X. Yu
article en

Abstract

Abstract Black rice, a nutritionally superior yet genetically uncharacterized germplasm, exhibits extreme rarity (∼ 1%) in natural rice populations. Here, we establish a global germplasm collection of 367 black rice accessions and employ integrated multi-omics (genomics, transcriptomics, metabolomics) to dissect its divergence from white rice. Population genomic analyses reveal a two-step domestication trajectory for black rice from wild progenitor: initial Rc-mediated loss of proanthocyanidin pigmentation, followed by OsKala4/OsMYB3-driven anthocyanin activation under artificial selection. Genome-wide scans identify 238 differentially selected regions between black and white rice that orchestrate extensive transcriptomic reprogramming (up to 22% differentially expressed genes) and metabolomic remodeling (up to 32% differentially accumulated metabolites) in black rice seeds. Multi-omics analysis and genome-wide association study uncover previously uncharacterized regulators (OsWRKY1, OsBBX13, OsTT12) that synergistically enhance the MBW transcriptional complex to regulate anthocyanin biosynthesis and vacuolar sequestration. Furthermore, we reconstructed a comprehensive biosynthetic pathway network for phenolic acids and flavonoids in black rice through integration of experimental metabolomic and transcriptomic datasets with KEGG pathway annotations. Finally, we evaluated the selection status of 225 quantitative trait genes and compared agronomic traits between black and white rice. Our findings provide a molecular roadmap for precision breeding strategies to develop elite black rice cultivars with optimized nutritional and agronomic performance.

National Science Review
Chinese Academy of Sciences (CN), Huazhong Agricultural University (CN), Agricultural Genomics Institute at Shenzhen (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Botany (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Huazhong Agricultural University, Earmarked Fund for China Agriculture Research System, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 70%
Plant Gene Expression Analysis
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