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Automated imaging of duckweed growth and development.
Cox, Kevin L; Manchego, Jordan; Meyers, Blake C; Czymmek, Kirk J; Harkess, Alex.
Affiliation
  • Cox KL; Donald Danforth Plant Science Center St. Louis Missouri USA.
  • Manchego J; Howard Hughes Medical Institute Chevy Chase Maryland USA.
  • Meyers BC; HudsonAlpha Institute for Biotechnology Huntsville Alabama USA.
  • Czymmek KJ; Donald Danforth Plant Science Center St. Louis Missouri USA.
  • Harkess A; Department of Biology University of Missouri Columbia Missouri USA.
Plant Direct ; 6(9): e439, 2022 Sep.
Article in En | MEDLINE | ID: mdl-36186894
ABSTRACT
Duckweeds are the smallest angiosperms, possessing a simple body architecture and highest rates of biomass accumulation. They can grow near-exponentially via clonal propagation. Understanding their reproductive biology, growth, and development is essential to unlock their potential for phytoremediation, carbon capture, and nutrition. However, there is a lack of non-laborious and convenient methods for spatially and temporally imaging an array of duckweed plants and growth conditions in the same experiment. We developed an automated microscopy approach to record time-lapse images of duckweed plants growing in 12-well cell culture plates. As a proof-of-concept experiment, we grew duckweed on semi-solid media with and without sucrose and monitored its effect on their growth over 3 days. Using the PlantCV toolkit, we quantified the thallus area of individual plantlets over time, and showed that L. minor grown on sucrose had an average growth rate four times higher than without sucrose. This method will serve as a blueprint to perform automated high-throughput growth assays for studying the development patterns of duckweeds from different species, genotypes, and conditions.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Plant Direct Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Plant Direct Year: 2022 Document type: Article