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Background <p>Fine-tuned gene expression rather than alterations in the protein-coding region of a gene is responsible for the optimal performance conferred by many elite alleles in crops. Lesion mimic mutants (LMMs), a type of plant mutants with hyperactivated immune responses, often show enhanced resistance but with yield penalties. To fine-tune the expression level of LMM genes using promoter editing is of considerable interest in crop disease control.</p> Results <p>Here we demonstrate the power of predictive promoter editing in optimizing expression of the rice LMM gene <i>RBL1</i>, encoding a CDP-DAG synthase in phospholipid metabolism, by breaking immunity-growth trade-offs. Through bioinformatic analyses of open chromatin accessibility, we identify key <i>cis</i>-regulatory regions in the <i>RBL1</i> promoter. Guided by these predictions, we efficiently assess the regulatory role of different <i>cis</i>-regulatory regions in the rice protoplast system and then generate multiple promoter-edited rice lines with varied <i>RBL1</i> expression levels. Notably, <i>Pro1</i>, an edited line with a 71.0% reduction in gene expression and altered levels of multiple phospholipids, shows broad-spectrum resistance to rice blast without compromising yield in field trials. Similarly, we generate a phenotype-copied <i>PRO1</i> allele for enhanced disease resistance in another rice cultivar.</p> Conclusions <p>Our study has generated an edited promoter of <i>RBL1</i> that confers multipathogen resistance with no yield penalty. Our study demonstrates a framework for predictable promoter engineering in balancing agronomic traits, especially through optimizing LMMs for crop improvement.</p>

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Rational design of promoter editing confers multipathogen resistance in rice

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月27日

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  • Xinyu Han,
  • Lei Yang,
  • Fengdie Xia,
  • Peng Sun,
  • Zhenhua Guo,
  • Tian Chen,
  • Gan Sha,
  • Lin Lin,
  • Yin Wang,
  • Xiaojing Kong,
  • Anum Bashir,
  • Guang Chen,
  • Ke Li,
  • Qiping Sun,
  • Yongxin Xiao,
  • Tom Hsiang,
  • Weibo Xie,
  • Qiang Li,
  • Kabin Xie,
  • Guotian Li

摘要

Background

Fine-tuned gene expression rather than alterations in the protein-coding region of a gene is responsible for the optimal performance conferred by many elite alleles in crops. Lesion mimic mutants (LMMs), a type of plant mutants with hyperactivated immune responses, often show enhanced resistance but with yield penalties. To fine-tune the expression level of LMM genes using promoter editing is of considerable interest in crop disease control.

Results

Here we demonstrate the power of predictive promoter editing in optimizing expression of the rice LMM gene RBL1, encoding a CDP-DAG synthase in phospholipid metabolism, by breaking immunity-growth trade-offs. Through bioinformatic analyses of open chromatin accessibility, we identify key cis-regulatory regions in the RBL1 promoter. Guided by these predictions, we efficiently assess the regulatory role of different cis-regulatory regions in the rice protoplast system and then generate multiple promoter-edited rice lines with varied RBL1 expression levels. Notably, Pro1, an edited line with a 71.0% reduction in gene expression and altered levels of multiple phospholipids, shows broad-spectrum resistance to rice blast without compromising yield in field trials. Similarly, we generate a phenotype-copied PRO1 allele for enhanced disease resistance in another rice cultivar.

Conclusions

Our study has generated an edited promoter of RBL1 that confers multipathogen resistance with no yield penalty. Our study demonstrates a framework for predictable promoter engineering in balancing agronomic traits, especially through optimizing LMMs for crop improvement.