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Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networks

Author

Listed:
  • Luchang Ming

    (Huazhong Agricultural University)

  • Debao Fu

    (Huazhong Agricultural University)

  • Zhaona Wu

    (Huazhong Agricultural University)

  • Hu Zhao

    (Huazhong Agricultural University)

  • Xingbing Xu

    (Huazhong Agricultural University)

  • Tingting Xu

    (Huazhong Agricultural University)

  • Xiaohu Xiong

    (Huazhong Agricultural University)

  • Mu Li

    (Huazhong Agricultural University)

  • Yi Zheng

    (Huazhong Agricultural University)

  • Ge Li

    (Huazhong Agricultural University)

  • Ling Yang

    (Huazhong Agricultural University)

  • Chunjiao Xia

    (Huazhong Agricultural University)

  • Rongfang Zhou

    (Huazhong Agricultural University)

  • Keyan Liao

    (Huazhong Agricultural University)

  • Qian Yu

    (Huazhong Agricultural University)

  • Wenqi Chai

    (Huazhong Agricultural University)

  • Sijia Li

    (Huazhong Agricultural University)

  • Yinmeng Liu

    (Huazhong Agricultural University)

  • Xiaokun Wu

    (Huazhong Agricultural University)

  • Jianquan Mao

    (Huazhong Agricultural University)

  • Julong Wei

    (Wayne State University School of Medicine)

  • Xu Li

    (Huazhong Agricultural University)

  • Lei Wang

    (Huazhong Agricultural University)

  • Changyin Wu

    (Huazhong Agricultural University)

  • Weibo Xie

    (Huazhong Agricultural University
    Huazhong Agricultural University
    Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
    Huazhong Agricultural University)

Abstract

Panicle architecture is a key determinant of rice grain yield and is mainly determined at the 1-2 mm young panicle stage. Here, we investigated the transcriptome of the 1-2 mm young panicles from 275 rice varieties and identified thousands of genes whose expression levels were associated with panicle traits. Multimodel association studies suggested that many small-effect genetic loci determine spikelet per panicle (SPP) by regulating the expression of genes associated with panicle traits. We found that alleles at cis-expression quantitative trait loci of SPP-associated genes underwent positive selection, with a strong preference for alleles increasing SPP. We further developed a method that integrates the associations of cis- and trans-expression components of genes with traits to identify causal genes at even small-effect loci and construct regulatory networks. We identified 36 putative causal genes of SPP, including SDT (MIR156j) and OsMADS17, and inferred that OsMADS17 regulates SDT expression, which was experimentally validated. Our study reveals the impact of regulatory variants on rice panicle architecture and provides new insights into the gene regulatory networks of panicle traits.

Suggested Citation

  • Luchang Ming & Debao Fu & Zhaona Wu & Hu Zhao & Xingbing Xu & Tingting Xu & Xiaohu Xiong & Mu Li & Yi Zheng & Ge Li & Ling Yang & Chunjiao Xia & Rongfang Zhou & Keyan Liao & Qian Yu & Wenqi Chai & Sij, 2023. "Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networks," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43077-6
    DOI: 10.1038/s41467-023-43077-6
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