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High-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform
Ethanol production by microorganisms is an important renewable energy source. Most processes involve fermentation of sugars from plant feedstock, but there is increasing interest in direct ethanol production by photosynthetic organisms. To facilitate this, a high-throughput screening technique for t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424702/ https://www.ncbi.nlm.nih.gov/pubmed/25878135 http://dx.doi.org/10.1098/rsif.2015.0216 |
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author | Abalde-Cela, Sara Gould, Anna Liu, Xin Kazamia, Elena Smith, Alison G. Abell, Chris |
author_facet | Abalde-Cela, Sara Gould, Anna Liu, Xin Kazamia, Elena Smith, Alison G. Abell, Chris |
author_sort | Abalde-Cela, Sara |
collection | PubMed |
description | Ethanol production by microorganisms is an important renewable energy source. Most processes involve fermentation of sugars from plant feedstock, but there is increasing interest in direct ethanol production by photosynthetic organisms. To facilitate this, a high-throughput screening technique for the detection of ethanol is required. Here, a method for the quantitative detection of ethanol in a microdroplet-based platform is described that can be used for screening cyanobacterial strains to identify those with the highest ethanol productivity levels. The detection of ethanol by enzymatic assay was optimized both in bulk and in microdroplets. In parallel, the encapsulation of engineered ethanol-producing cyanobacteria in microdroplets and their growth dynamics in microdroplet reservoirs were demonstrated. The combination of modular microdroplet operations including droplet generation for cyanobacteria encapsulation, droplet re-injection and pico-injection, and laser-induced fluorescence, were used to create this new platform to screen genetically engineered strains of cyanobacteria with different levels of ethanol production. |
format | Online Article Text |
id | pubmed-4424702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-44247022015-05-20 High-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform Abalde-Cela, Sara Gould, Anna Liu, Xin Kazamia, Elena Smith, Alison G. Abell, Chris J R Soc Interface Research Articles Ethanol production by microorganisms is an important renewable energy source. Most processes involve fermentation of sugars from plant feedstock, but there is increasing interest in direct ethanol production by photosynthetic organisms. To facilitate this, a high-throughput screening technique for the detection of ethanol is required. Here, a method for the quantitative detection of ethanol in a microdroplet-based platform is described that can be used for screening cyanobacterial strains to identify those with the highest ethanol productivity levels. The detection of ethanol by enzymatic assay was optimized both in bulk and in microdroplets. In parallel, the encapsulation of engineered ethanol-producing cyanobacteria in microdroplets and their growth dynamics in microdroplet reservoirs were demonstrated. The combination of modular microdroplet operations including droplet generation for cyanobacteria encapsulation, droplet re-injection and pico-injection, and laser-induced fluorescence, were used to create this new platform to screen genetically engineered strains of cyanobacteria with different levels of ethanol production. The Royal Society 2015-05-06 /pmc/articles/PMC4424702/ /pubmed/25878135 http://dx.doi.org/10.1098/rsif.2015.0216 Text en http://creativecommons.org/licenses/by/4.0/ © 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Research Articles Abalde-Cela, Sara Gould, Anna Liu, Xin Kazamia, Elena Smith, Alison G. Abell, Chris High-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform |
title | High-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform |
title_full | High-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform |
title_fullStr | High-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform |
title_full_unstemmed | High-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform |
title_short | High-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform |
title_sort | high-throughput detection of ethanol-producing cyanobacteria in a microdroplet platform |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424702/ https://www.ncbi.nlm.nih.gov/pubmed/25878135 http://dx.doi.org/10.1098/rsif.2015.0216 |
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