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Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis
In a 54 m(3) large‐scale penicillin fermentor, the cells experience substrate gradient cycles at the timescales of global mixing time about 20–40 s. Here, we used an intermittent feeding regime (IFR) and a two‐compartment reactor (TCR) to mimic these substrate gradients at laboratory‐scale continuou...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902331/ https://www.ncbi.nlm.nih.gov/pubmed/29333753 http://dx.doi.org/10.1111/1751-7915.13046 |
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author | Wang, Guan Zhao, Junfei Haringa, Cees Tang, Wenjun Xia, Jianye Chu, Ju Zhuang, Yingping Zhang, Siliang Deshmukh, Amit T. van Gulik, Walter Heijnen, Joseph J. Noorman, Henk J. |
author_facet | Wang, Guan Zhao, Junfei Haringa, Cees Tang, Wenjun Xia, Jianye Chu, Ju Zhuang, Yingping Zhang, Siliang Deshmukh, Amit T. van Gulik, Walter Heijnen, Joseph J. Noorman, Henk J. |
author_sort | Wang, Guan |
collection | PubMed |
description | In a 54 m(3) large‐scale penicillin fermentor, the cells experience substrate gradient cycles at the timescales of global mixing time about 20–40 s. Here, we used an intermittent feeding regime (IFR) and a two‐compartment reactor (TCR) to mimic these substrate gradients at laboratory‐scale continuous cultures. The IFR was applied to simulate substrate dynamics experienced by the cells at full scale at timescales of tens of seconds to minutes (30 s, 3 min and 6 min), while the TCR was designed to simulate substrate gradients at an applied mean residence time ([Formula: see text]) of 6 min. A biological systems analysis of the response of an industrial high‐yielding P. chrysogenum strain has been performed in these continuous cultures. Compared to an undisturbed continuous feeding regime in a single reactor, the penicillin productivity (q(PenG)) was reduced in all scale‐down simulators. The dynamic metabolomics data indicated that in the IFRs, the cells accumulated high levels of the central metabolites during the feast phase to actively cope with external substrate deprivation during the famine phase. In contrast, in the TCR system, the storage pool (e.g. mannitol and arabitol) constituted a large contribution of carbon supply in the non‐feed compartment. Further, transcript analysis revealed that all scale‐down simulators gave different expression levels of the glucose/hexose transporter genes and the penicillin gene clusters. The results showed that q(PenG) did not correlate well with exposure to the substrate regimes (excess, limitation and starvation), but there was a clear inverse relation between q(PenG) and the intracellular glucose level. |
format | Online Article Text |
id | pubmed-5902331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59023312018-04-23 Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis Wang, Guan Zhao, Junfei Haringa, Cees Tang, Wenjun Xia, Jianye Chu, Ju Zhuang, Yingping Zhang, Siliang Deshmukh, Amit T. van Gulik, Walter Heijnen, Joseph J. Noorman, Henk J. Microb Biotechnol Research Articles In a 54 m(3) large‐scale penicillin fermentor, the cells experience substrate gradient cycles at the timescales of global mixing time about 20–40 s. Here, we used an intermittent feeding regime (IFR) and a two‐compartment reactor (TCR) to mimic these substrate gradients at laboratory‐scale continuous cultures. The IFR was applied to simulate substrate dynamics experienced by the cells at full scale at timescales of tens of seconds to minutes (30 s, 3 min and 6 min), while the TCR was designed to simulate substrate gradients at an applied mean residence time ([Formula: see text]) of 6 min. A biological systems analysis of the response of an industrial high‐yielding P. chrysogenum strain has been performed in these continuous cultures. Compared to an undisturbed continuous feeding regime in a single reactor, the penicillin productivity (q(PenG)) was reduced in all scale‐down simulators. The dynamic metabolomics data indicated that in the IFRs, the cells accumulated high levels of the central metabolites during the feast phase to actively cope with external substrate deprivation during the famine phase. In contrast, in the TCR system, the storage pool (e.g. mannitol and arabitol) constituted a large contribution of carbon supply in the non‐feed compartment. Further, transcript analysis revealed that all scale‐down simulators gave different expression levels of the glucose/hexose transporter genes and the penicillin gene clusters. The results showed that q(PenG) did not correlate well with exposure to the substrate regimes (excess, limitation and starvation), but there was a clear inverse relation between q(PenG) and the intracellular glucose level. John Wiley and Sons Inc. 2018-01-15 /pmc/articles/PMC5902331/ /pubmed/29333753 http://dx.doi.org/10.1111/1751-7915.13046 Text en © 2018 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Wang, Guan Zhao, Junfei Haringa, Cees Tang, Wenjun Xia, Jianye Chu, Ju Zhuang, Yingping Zhang, Siliang Deshmukh, Amit T. van Gulik, Walter Heijnen, Joseph J. Noorman, Henk J. Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis |
title | Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis |
title_full | Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis |
title_fullStr | Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis |
title_full_unstemmed | Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis |
title_short | Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis |
title_sort | comparative performance of different scale‐down simulators of substrate gradients in penicillium chrysogenum cultures: the need of a biological systems response analysis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5902331/ https://www.ncbi.nlm.nih.gov/pubmed/29333753 http://dx.doi.org/10.1111/1751-7915.13046 |
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