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Automated imaging of duckweed growth and development

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 phytoremediat...

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Autores principales: Cox, Kevin L., Manchego, Jordan, Meyers, Blake C., Czymmek, Kirk J., Harkess, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510441/
https://www.ncbi.nlm.nih.gov/pubmed/36186894
http://dx.doi.org/10.1002/pld3.439
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author Cox, Kevin L.
Manchego, Jordan
Meyers, Blake C.
Czymmek, Kirk J.
Harkess, Alex
author_facet Cox, Kevin L.
Manchego, Jordan
Meyers, Blake C.
Czymmek, Kirk J.
Harkess, Alex
author_sort Cox, Kevin L.
collection PubMed
description 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.
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spelling pubmed-95104412022-09-30 Automated imaging of duckweed growth and development Cox, Kevin L. Manchego, Jordan Meyers, Blake C. Czymmek, Kirk J. Harkess, Alex Plant Direct Original Research 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. John Wiley and Sons Inc. 2022-09-25 /pmc/articles/PMC9510441/ /pubmed/36186894 http://dx.doi.org/10.1002/pld3.439 Text en © 2022 The Authors. Plant Direct published by American Society of Plant Biologists and the Society for Experimental Biology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Cox, Kevin L.
Manchego, Jordan
Meyers, Blake C.
Czymmek, Kirk J.
Harkess, Alex
Automated imaging of duckweed growth and development
title Automated imaging of duckweed growth and development
title_full Automated imaging of duckweed growth and development
title_fullStr Automated imaging of duckweed growth and development
title_full_unstemmed Automated imaging of duckweed growth and development
title_short Automated imaging of duckweed growth and development
title_sort automated imaging of duckweed growth and development
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510441/
https://www.ncbi.nlm.nih.gov/pubmed/36186894
http://dx.doi.org/10.1002/pld3.439
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