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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9510441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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