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Tuning plant phenotypes by precise, graded downregulation of gene expression

Abstract

The ability to control gene expression and generate quantitative phenotypic changes is essential for breeding new and desired traits into crops. Here we report an efficient, facile method for downregulating gene expression to predictable, desired levels by engineering upstream open reading frames (uORFs). We used base editing or prime editing to generate de novo uORFs or to extend existing uORFs by mutating their stop codons. By combining these approaches, we generated a suite of uORFs that incrementally downregulate the translation of primary open reading frames (pORFs) to 2.5–84.9% of the wild-type level. By editing the 5′ untranslated region of OsDLT, which encodes a member of the GRAS family and is involved in the brassinosteroid transduction pathway, we obtained, as predicted, a series of rice plants with varied plant heights and tiller numbers. These methods offer an efficient way to obtain genome-edited plants with graded expression of traits.

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Fig. 1: Introduced uORFs repress protein expression in protoplasts and plants.
Fig. 2: Extending original uORFs by base editing reduces protein expression in protoplasts and plants.
Fig. 3: Producing uORFs with diverse inhibitory activities to downregulate protein expression in a graded fashion.
Fig. 4: Obtaining mutants with the expected quantitative traits.

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Data availability

All data supporting the findings of this study are available in the article, extended data figures and supplementary information or are available from the corresponding author upon reasonable request. Sequence data are present in The Arabidopsis Information Resource (https://seqviewer.arabidopsis.org/) or Phytozome databases (https://phytozome-next.jgi.doe.gov/) under the following accession numbers: AtABI1 (AT4G26080), AtPYR1 (AT4G17870), AtBRI1 (AT4G39400), OsBRI1 (LOC_Os01g52050), OsGW7 (LOC_Os07g41200), OsDLT (LOC_Os06g03710), OsCKX2 (LOC_Os01g10110), OsTCP19 (LOC_Os06g12230) and OsTB1 (LOC_Os03g49880). The deep sequencing data have been deposited in a National Center for Biotechnology Information BioProject database (accession code PRJNA931443)44. Plasmids for pH-ABE8e and pH-ABE8e-spG will be made available through Addgene. Source data are provided with this paper.

References

  1. Gao, C. Genome engineering for crop improvement and future agriculture. Cell 184, 1621–1635 (2021).

    CAS  PubMed  Google Scholar 

  2. Song, X. et al. Targeting a gene regulatory element enhances rice grain yield by decoupling panicle number and size. Nat. Biotechnol. 40, 1403–1411 (2022).

    CAS  PubMed  Google Scholar 

  3. Wang, Y. et al. Simultaneous editing of three homoeoalleles in hexaploid bread wheat confers heritable resistance to powdery mildew. Nat. Biotechnol. 32, 947–951 (2014).

    CAS  PubMed  Google Scholar 

  4. Qi, L. S. et al. Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression. Cell 152, 1173–1183 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Hannon, G. J. RNA interference. Nature 418, 244–251 (2002).

    CAS  PubMed  Google Scholar 

  6. Bowman, E. K. et al. Bidirectional titration of yeast gene expression using a pooled CRISPR guide RNA approach. Proc. Natl Acad. Sci. USA 117, 18424–18430 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Rodríguez-Leal, D., Lemmon, Z. H., Man, J., Bartlett, M. E. & Lippman, Z. B. Engineering quantitative trait variation for crop improvement by genome editing. Cell 171, 470–480 (2017).

    PubMed  Google Scholar 

  8. Hendelman, A. et al. Conserved pleiotropy of an ancient plant homeobox gene uncovered by cis-regulatory dissection. Cell 184, 1724–1739 (2021).

    CAS  PubMed  Google Scholar 

  9. Xue, C., Zhang, H., Lin, Q., Fan, R. & Gao, C. Manipulating mRNA splicing by base editing in plants. Sci. China Life Sci. 61, 1293–1300 (2018).

    CAS  PubMed  Google Scholar 

  10. Yuan, J. et al. Genetic modulation of RNA splicing with a CRISPR-guided cytidine deaminase. Mol. Cell 72, 380–394 (2018).

    CAS  PubMed  Google Scholar 

  11. Barbosa, C., Peixeiro, I. & Romao, L. Gene expression regulation by upstream open reading frames and human disease. PLoS Genet. 9, e1003529 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Srivastava, A. K., Lu, Y., Zinta, G., Lang, Z. & Zhu, J. K. UTR-dependent control of gene expression in plants. Trends Plant Sci. 23, 248–259 (2018).

    CAS  PubMed  Google Scholar 

  13. Zhang, H. et al. Genome-wide maps of ribosomal occupancy provide insights into adaptive evolution and regulatory roles of uORFs during Drosophila development. PLoS Biol. 16, e2003903 (2018).

    PubMed  PubMed Central  Google Scholar 

  14. Zhang, T., Wu, A., Yue, Y. & Zhao, Y. uORFs: important cis-regulatory elements in plants. Int. J. Mol. Sci. 21, 6238 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Tran, M. K., Schultz, C. J. & Baumann, U. Conserved upstream open reading frames in higher plants. BMC Genomics 9, 361 (2008).

    PubMed  PubMed Central  Google Scholar 

  16. Niu, R. et al. uORFlight: a vehicle toward uORF-mediated translational regulation mechanisms in eukaryotes. Database (Oxford) 2020, baaa007 (2020).

    CAS  PubMed  Google Scholar 

  17. Chen, Y. et al. PsORF: a database of small ORFs in plants. Plant Biotechnol. J. 11, 2158–2160 (2020).

    Google Scholar 

  18. Ferreira, J. P., Overton, K. W. & Wang, C. L. Tuning gene expression with synthetic upstream open reading frames. Proc. Natl Acad. Sci. USA 110, 11284–11289 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Lin, Y. et al. Impacts of uORF codon identity and position on translation regulation. Nucleic Acids Res. 47, 9358–9367 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Kozak, M. Effects of intercistronic length on the efficiency of reinitiation by eucaryotic ribosomes. Mol. Cell. Biol. 7, 3438–3445 (1987).

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Kozak, M. Constraints on reinitiation of translation in mammals. Nucleic Acids Res. 29, 5226–5232 (2001).

    CAS  PubMed  PubMed Central  Google Scholar 

  22. Wang, J., Zhang, X., Greene, G. H., Xu, G. & Dong, X. PABP/purine-rich motif as an initiation module for cap-independent translation in pattern-triggered immunity. Cell 185, 3186–3200 (2022).

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Zhang, H. et al. Genome editing of upstream open reading frames enables translational control in plants. Nat. Biotechnol. 36, 894–898 (2018).

    CAS  PubMed  Google Scholar 

  24. Xing, S. et al. Fine-tuning sugar content in strawberry. Genome Biol. 21, 230 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  25. Si, X., Zhang, H., Wang, Y., Chen, K. & Gao, C. Manipulating gene translation in plants by CRISPR–Cas9-mediated genome editing of upstream open reading frames. Nat. Protoc. 15, 338–363 (2020).

    CAS  PubMed  Google Scholar 

  26. Yamamuro, C. et al. Loss of function of a rice brassinosteroid insensitive1 homolog prevents internode elongation and bending of the lamina joint. Plant Cell 12, 1591–1605 (2000).

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Lin, Q. et al. Prime genome editing in rice and wheat. Nat. Biotechnol. 38, 582–585 (2020).

    CAS  PubMed  Google Scholar 

  28. Zong, Y. et al. An engineered prime editor with enhanced editing efficiency in plants. Nat. Biotechnol. 40, 1394–1402 (2022).

    CAS  PubMed  Google Scholar 

  29. Nelson, J. W. et al. Engineered pegRNAs improve prime editing efficiency. Nat. Biotechnol. 40, 402–410 (2022).

    CAS  PubMed  Google Scholar 

  30. Morinaka, Y. et al. Morphological alteration caused by brassinosteroid insensitivity increases the biomass and grain production of rice. Plant Physiol. 141, 924–931 (2006).

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Richter, M. F. et al. Phage-assisted evolution of an adenine base editor with improved Cas domain compatibility and activity. Nat. Biotechnol. 38, 883–891 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Walton, R. T., Christie, K. A., Whittaker, M. N. & Kleinstiver, B. P. Unconstrained genome targeting with near-PAMless engineered CRISPR–Cas9 variants. Science 368, 290–296 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Tong, H. et al. DWARF AND LOW-TILLERING, a new member of the GRAS family, plays positive roles in brassinosteroid signaling in rice. Plant J. 58, 803–816 (2009).

    CAS  PubMed  Google Scholar 

  34. Tong, H. et al. DWARF AND LOW-TILLERING acts as a direct downstream target of a GSK3/SHAGGY-like kinase to mediate brassinosteroid responses in rice. Plant Cell 24, 2562–2577 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  35. Tong, H. & Chu, C. Functional specificities of brassinosteroid and potential utilization for crop improvement. Trends Plant Sci. 23, 1016–1028 (2018).

    CAS  PubMed  Google Scholar 

  36. Hellens, R. P. et al. Transient expression vectors for functional genomics, quantification of promoter activity and RNA silencing in plants. Plant Methods 1, 13 (2005).

    PubMed  PubMed Central  Google Scholar 

  37. Li, C. et al. Expanded base editing in rice and wheat using a Cas9–adenosine deaminase fusion. Genome Biol. 19, 59 (2018).

    PubMed  PubMed Central  Google Scholar 

  38. Lin, Q. et al. High-efficiency prime editing with optimized, paired pegRNAs in plants. Nat. Biotechnol. 39, 923–927 (2021).

    CAS  PubMed  Google Scholar 

  39. Jin, S., Lin, Q., Gao, Q. & Gao, C. Optimized prime editing in monocot plants using PlantPegDesigner and engineered plant prime editors (ePPEs). Nat. Protoc. https://doi.org/10.1038/s41596-022-00773-9 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Zong, Y. et al. Efficient C-to-T base editing in plants using a fusion of nCas9 and human APOBEC3A. Nat. Biotechnol. 36, 950–953 (2018).

    CAS  Google Scholar 

  41. Shan, Q. et al. Rapid and efficient gene modification in rice and Brachypodium using TALENs. Mol. Plant 6, 1365–1368 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  42. Zhai, Z., Jung, H. I. & Vatamaniuk, O. K. Isolation of protoplasts from tissues of 14-day-old seedlings of Arabidopsis thaliana. J. Vis. Exp. 30, e1149 (2009).

    Google Scholar 

  43. Hiei, Y., Ohta, S., Komari, T. & Kumashiro, T. Efficient transformation of rice (Oryza sativa L.) mediated by Agrobacterium and sequence analysis of the boundaries of the T-DNA. Plant J. 6, 271–282 (1994).

    CAS  PubMed  Google Scholar 

  44. Xue, C. et al. Tuning plant phenotypes by precise, graded downregulation of gene expression. National Center for Biotechnology Information (NCBI) https://dataview.ncbi.nlm.nih.gov/object/PRJNA931443 (2023).

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Acknowledgements

This work was supported by grants from the National Key Research and Development Program (2022YFF1002802 to C.G.), the Strategic Priority Research Program of the Chinese Academy of Sciences (Precision Seed Design and Breeding, XDA24020102, to C.G.), the Ministry of Agriculture and Rural Affairs of China to C.G., the National Natural Science Foundation of China (31788103 to C.G. and 31971370 to K.C.), the R&D Program in Key Areas of Guangdong Province (2018B020202005 to C.G.) and the Schmidt Science Fellows to K.T.Z.

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Contributions

C.X., K.C. and C.G. designed the project. C.X., F.Q. and Y.W. performed the experiments. B.L. performed rice transformation. C.X., K.T.Z. and C.G. wrote the manuscript. C.G. supervised the project. All authors reviewed the manuscript.

Corresponding author

Correspondence to Caixia Gao.

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Competing interests

The authors have submitted a patent application based on the results reported in this paper. K.T.Z. is a founder and employee at Qi Biodesign.

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Nature Biotechnology thanks the anonymous reviewers for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 Creating uORFs in 5′ UTRs.

(a) 5′ UTR and part of CDS of AtABI1 and OsBRI1. Lowercase is the non-uORF sequence in 5′ UTR; black uppercase is the sequence of uORF; gold uppercase is the sequence of pORF; red bold base is the upstream ATG (uATG) sites to be created. (b) Schematic diagram of the dual-luciferase reporter system with or without de novo ATG in 5′ UTR upstream the CDS of LUC. (c) RNA expression of LUC relative to REN in protoplasts. The data were normalized to control (n = 3). All data are presented as mean ± s.e.m. *P < 0.05 by two-tailed Student’s t-test.

Extended Data Fig. 2 Genotypes of prime-edited rice mutants carrying uORFOsBRI1(−99, 28aa).

(a) Editing efficiencies of pegRNAs with PPE2 used to generate uORFOsBRI1(−120, 35aa) or uORFOsBRI1(−99, 28aa) at the endogenous 5′ UTR of OsBRI1 in protoplasts (n = 2). (b) Schematic representation of the pH-ePPE-epegRNA vector. The black arrows indicate three pairs of primers used to detect transgene-free mutants. (c) Sanger sequencing chromatograms of representative prime-edited mutants carrying uORFOsBRI1(−99, 28aa). Red arrows represent the desired edits.

Extended Data Fig. 3 Extending uORFs in 5′ UTRs.

(a) 5′ UTR and part of the CDS of AtABI1, AtPYR1, AtBRI1, OsDLT, OsCKX2 and OsGW7. Lowercase is the non-uORF sequence in 5′ UTR; underlined uppercase is the CDS of uORF; gold uppercase is the CDS of pORF; red bold base is the stop codons to be mutated. (b) Schematic diagram of the dual-luciferase reporter system with original or extended uORF in 5′ UTR upstream the CDS of LUC.

Extended Data Fig. 4 Effects of extended uORFs on LUC/REN mRNA levels in dual-luciferase assay.

RNA expression of LUC relative to REN in protoplasts. The data were normalized to control (n = 3). All data are presented as mean ± s.e.m. *P < 0.05 by two-tailed Student’s t-test.

Extended Data Fig. 5 Genotypes of base-edited rice mutants containing uORFOsDLT(−589, 56aa).

(a) Editing efficiencies of sgRNAs with ABE8e to generating uORFOsDLT(−589, 56aa) at the endogenous 5′ UTR of OsDLT in protoplasts (n = 3). All data are presented as mean ± s.e.m. (b) Schematic representation of the pH-ABE8e-spG vector. (c) Sanger sequencing chromatograms of representative base-edited mutants containing uORFOsDLT(−589, 56aa). Red arrows indicate the desired edits.

Extended Data Fig. 6 5′ UTR and part of the CDS of OsDLT, OsTCP19 and OsTB1.

Lowercase is non-uORF sequence in 5’ UTR; underlined uppercase is the CDS of uORF; gold uppercase is the CDS of pORF; red bold base is the uATG site to be created or stop codon to be mutated.

Extended Data Fig. 7 Editing efficiencies of pegRNAs and sgRNAs used to generate uORFOsDLT(−402, 27aa), uORFOsDLT(−540, 73aa), uORFOsDLT(−141, 42aa) and uORFOsDLT(−105, 30aa) in the endogenous 5′ UTR of OsDLT.

(a) Editing efficiencies of pegRNAs with plant prime editor (PPE2) used to generate uORFOsDLT(−402, 27aa), uORFOsDLT(−141, 42aa) and uORFOsDLT(−105, 30aa) in the endogenous 5′ UTR of OsDLT in protoplasts (n = 2). (b) Editing efficiencies of sgRNAs with adenine base editor (ABE8e) used to generate uORFOsDLT(−540, 73aa) in the endogenous 5′ UTR of OsDLT in protoplasts (n = 3). The data are presented as mean ± s.e.m. (c) Schematic representation of the pH-ABE8e vector.

Extended Data Fig. 8 Sanger sequencing chromatograms of representative mutants containing uORFOsDLT(−402, 27aa), uORFOsDLT(−540, 73aa), uORFOsDLT(−141, 42aa) and uORFOsDLT(−105, 30aa), respectively.

Red arrows indicate the desired edits.

Extended Data Fig. 9 Detection of transgene-free mutants with three pairs of primers based on the pH-ePPE-epegRNA, pH-ABE8e-spG and pH-ABE8e binary vector.

Lanes with no bands generated by the three pairs of primers indicate transgene-free T1 mutants. M represents a DNA molecular weight ladder.

Source data

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Supplementary Information

Supplementary Tables 1–8 and sequences.

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Source data

Source Data Fig. 1

Unprocessed western blots for Fig. 1.

Source Data Fig. 2

Unprocessed western blots for Fig. 2c.

Source Data Fig. 3

Unprocessed western blots for Fig. 3d.

Source Data Extended Data Fig. 9

Unprocessed agarose gels for Extended Data Fig. 9.

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Xue, C., Qiu, F., Wang, Y. et al. Tuning plant phenotypes by precise, graded downregulation of gene expression. Nat Biotechnol 41, 1758–1764 (2023). https://doi.org/10.1038/s41587-023-01707-w

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