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Enhancing lipid production in plant cells through automated high-throughput genome engineering and phenotyping

  • Jia Dong
  • , Seth W. Croslow
  • , Stephan T. Lane
  • , Daniel C. Castro
  • , Jantana Blanford
  • , Shuaizhen Zhou
  • , Kiyoul Park
  • , Steven Burgess
  • , Mike Root
  • , Edgar B. Cahoon
  • , John Shanklin
  • , Jonathan V. Sweedler
  • , Huimin Zhao
  • , Matthew E. Hudson
  • University of Illinois at Urbana-Champaign
  • United States Department of Energy
  • University of Nebraska-Lincoln

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Plant bioengineering is a time-consuming and labor-intensive process with no guarantee of achieving desired traits. Here, we present a fast, automated, scalable, high-throughput pipeline for plant bioengineering (FAST-PB) in maize (Zea mays) and Nicotiana benthamiana. FAST-PB enables genome editing and product characterization by integrating automated biofoundry engineering of callus and protoplast cells with single-cell matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). We first demonstrated that FAST-PB could streamline Golden Gate cloning, with the capacity to construct 96 vectors in parallel. Using FAST-PB in protoplasts, we found that PEG2050 increased transfection efficiency by over 45%. For proof-of-concept, we established a reporter-gene-free method for CRISPR editing and phenotyping via mutation of high chlorophyll fluorescence 136. We show that diverse lipids were enhanced up to 6-fold using CRISPR activation of lipid controlling genes. In callus cells, an automated transformation platform was employed to regenerate plants with enhanced lipid traits through introducing multigene cassettes. Lastly, FAST-PB enabled high-throughput single-cell lipid profiling by integrating MALDI-MS with the biofoundry, protoplast, and callus cells, differentiating engineered and unengineered cells using single-cell lipidomics. These innovations massively increase the throughput of synthetic biology, genome editing, and metabolic engineering and change what is possible using single-cell metabolomics in plants.

Original languageEnglish
Article numberkoaf026
JournalPlant Cell
Volume37
Issue number2
DOIs
StatePublished - Feb 1 2025

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