An artificially evolved gene for herbicide-resistant rice breeding
Discovering and engineering herbicide-resistant genes is a crucial challenge in crop breeding. This study focuses on the 4-hydroxyphenylpyruvate dioxygenase Inhibitor Sensitive 1-Like (HSL) protein, prevalent in higher plants and exhibiting weak catalytic activity against many β-triketone herbicides (β-THs). The crystal structures of maize HSL1A complexed with β-THs were elucidated, identifying four essential herbicide-binding residues and explaining the weak activity of HSL1A against the herbicides. Utilizing an artificial evolution approach, we developed a series of rice HSL1 mutants targeting the four residues. Then, these mutants were systematically evaluated, identifying the M10 variant as the most effective in modifying β-THs. The initial active conformation of substrate binding in HSL1 was also revealed from these mutants. Furthermore, overexpression of M10 in rice significantly enhanced resistance to β-THs, resulting in a notable 32-fold increase in resistance to methyl-benquitrione. In conclusion, the artificially evolved M10 gene shows great potential for the development of herbicide-resistant crops.
Authors
- Gaohua Wang (ORCID: https://orcid.org/0000-0002-8947-9921)
- Yao-Chao Yan
- Jiangqing Dong (ORCID: https://orcid.org/0000-0003-3465-243X)
- Xin‐He Yu
- D. Wang (ORCID: https://orcid.org/0000-0002-2050-0921)
- Jin Dong (ORCID: https://orcid.org/0000-0002-3605-5316)
- Bao-Qin Ye
- Hong‐Yan Lin (ORCID: https://orcid.org/0000-0002-5627-3708)
- Xinlong Wang (ORCID: https://orcid.org/0000-0002-8137-1692)
- Guang‐Fu Yang (ORCID: https://orcid.org/0000-0003-4384-2593)
- Han Xiao
Institutions
- Hubei University of Chinese Medicine (CN)
- Central China Normal University (CN)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1073/pnas.2407285121
- Citations
- 12
- Primary Topic
- Weed Control and Herbicide Applications
- Type
- article
- Field-Weighted Citation Impact
- 7.20
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China