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Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping
BACKGROUND: The throughput of cultivation experiments in bioprocess development has drastically increased in recent years due to the availability of sophisticated microliter scale cultivation devices. However, as these devices still require time-consuming manual work, the bottleneck was merely shift...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361198/ https://www.ncbi.nlm.nih.gov/pubmed/25888907 http://dx.doi.org/10.1186/s12934-015-0216-6 |
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author | Unthan, Simon Radek, Andreas Wiechert, Wolfgang Oldiges, Marco Noack, Stephan |
author_facet | Unthan, Simon Radek, Andreas Wiechert, Wolfgang Oldiges, Marco Noack, Stephan |
author_sort | Unthan, Simon |
collection | PubMed |
description | BACKGROUND: The throughput of cultivation experiments in bioprocess development has drastically increased in recent years due to the availability of sophisticated microliter scale cultivation devices. However, as these devices still require time-consuming manual work, the bottleneck was merely shifted to media preparation, inoculation and finally the analyses of cultivation samples. A first step towards solving these issues was undertaken in our former study by embedding a BioLector in a robotic workstation. This workstation already allowed for the optimization of heterologous protein production processes, but remained limited when aiming for the characterization of small molecule producer strains. In this work, we extended our workstation to a versatile Mini Pilot Plant (MPP) by integrating further robotic workflows and microtiter plate assays that now enable a fast and accurate phenotyping of a broad range of microbial production hosts. RESULTS: A fully automated harvest procedure was established, which repeatedly samples up to 48 wells from BioLector cultivations in response to individually defined trigger conditions. The samples are automatically clarified by centrifugation and finally frozen for subsequent analyses. Sensitive metabolite assays in 384-well plate scale were integrated on the MPP for the direct determination of substrate uptake (specifically D-glucose and D-xylose) and product formation (specifically amino acids). In a first application, we characterized a set of Corynebacterium glutamicum L-lysine producer strains and could rapidly identify a unique strain showing increased L-lysine titers, which was subsequently confirmed in lab-scale bioreactor experiments. In a second study, we analyzed the substrate uptake kinetics of a previously constructed D-xylose-converting C. glutamicum strain during cultivation on mixed carbon sources in a fully automated experiment. CONCLUSIONS: The presented MPP is designed to face the challenges typically encountered during early-stage bioprocess development. Especially the bottleneck of sample analyses from fast and parallelized microtiter plate cultivations can be solved using cutting-edge robotic automation. As robotic workstations become increasingly attractive for biotechnological research, we expect our setup to become a template for future bioprocess development. |
format | Online Article Text |
id | pubmed-4361198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43611982015-03-17 Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping Unthan, Simon Radek, Andreas Wiechert, Wolfgang Oldiges, Marco Noack, Stephan Microb Cell Fact Technical Notes BACKGROUND: The throughput of cultivation experiments in bioprocess development has drastically increased in recent years due to the availability of sophisticated microliter scale cultivation devices. However, as these devices still require time-consuming manual work, the bottleneck was merely shifted to media preparation, inoculation and finally the analyses of cultivation samples. A first step towards solving these issues was undertaken in our former study by embedding a BioLector in a robotic workstation. This workstation already allowed for the optimization of heterologous protein production processes, but remained limited when aiming for the characterization of small molecule producer strains. In this work, we extended our workstation to a versatile Mini Pilot Plant (MPP) by integrating further robotic workflows and microtiter plate assays that now enable a fast and accurate phenotyping of a broad range of microbial production hosts. RESULTS: A fully automated harvest procedure was established, which repeatedly samples up to 48 wells from BioLector cultivations in response to individually defined trigger conditions. The samples are automatically clarified by centrifugation and finally frozen for subsequent analyses. Sensitive metabolite assays in 384-well plate scale were integrated on the MPP for the direct determination of substrate uptake (specifically D-glucose and D-xylose) and product formation (specifically amino acids). In a first application, we characterized a set of Corynebacterium glutamicum L-lysine producer strains and could rapidly identify a unique strain showing increased L-lysine titers, which was subsequently confirmed in lab-scale bioreactor experiments. In a second study, we analyzed the substrate uptake kinetics of a previously constructed D-xylose-converting C. glutamicum strain during cultivation on mixed carbon sources in a fully automated experiment. CONCLUSIONS: The presented MPP is designed to face the challenges typically encountered during early-stage bioprocess development. Especially the bottleneck of sample analyses from fast and parallelized microtiter plate cultivations can be solved using cutting-edge robotic automation. As robotic workstations become increasingly attractive for biotechnological research, we expect our setup to become a template for future bioprocess development. BioMed Central 2015-03-11 /pmc/articles/PMC4361198/ /pubmed/25888907 http://dx.doi.org/10.1186/s12934-015-0216-6 Text en © Unthan et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Technical Notes Unthan, Simon Radek, Andreas Wiechert, Wolfgang Oldiges, Marco Noack, Stephan Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping |
title | Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping |
title_full | Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping |
title_fullStr | Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping |
title_full_unstemmed | Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping |
title_short | Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping |
title_sort | bioprocess automation on a mini pilot plant enables fast quantitative microbial phenotyping |
topic | Technical Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361198/ https://www.ncbi.nlm.nih.gov/pubmed/25888907 http://dx.doi.org/10.1186/s12934-015-0216-6 |
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