Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry
Abstract Background Shewanella baltica KB30 was isolated from seawater collected in Kandalaksha Bay, White Sea (Russia). This strain is known for its ability to grow on a pool of different substrates, including carbohydrates, carboxylic and amino acids, and lipids. However, no data are available on...
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ftdoajarticles:oai:doaj.org/article:42c32d151a0047b9a77884f2e13bbfe4 2023-05-15T18:43:53+02:00 Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry Juan Carlos Leyva-Díaz José Manuel Poyatos Paolo Barghini Susanna Gorrasi Massimiliano Fenice 2017-11-01T00:00:00Z https://doi.org/10.1186/s12934-017-0805-7 https://doaj.org/article/42c32d151a0047b9a77884f2e13bbfe4 EN eng BMC http://link.springer.com/article/10.1186/s12934-017-0805-7 https://doaj.org/toc/1475-2859 doi:10.1186/s12934-017-0805-7 1475-2859 https://doaj.org/article/42c32d151a0047b9a77884f2e13bbfe4 Microbial Cell Factories, Vol 16, Iss 1, Pp 1-11 (2017) Carbon utilization Kinetics Modeling Shewanella baltica Microbiology QR1-502 article 2017 ftdoajarticles https://doi.org/10.1186/s12934-017-0805-7 2022-12-31T13:56:55Z Abstract Background Shewanella baltica KB30 was isolated from seawater collected in Kandalaksha Bay, White Sea (Russia). This strain is known for its ability to grow on a pool of different substrates, including carbohydrates, carboxylic and amino acids, and lipids. However, no data are available on its metabolic efficiency in relation to the use of different carbon sources typologies. This work represents the first attempt to characterize S. baltica by its heterotrophic kinetic performance. Results Growth and substrate consumption, during the biodegradation of sodium acetate, glucose, tween 80 and peptone, were analyzed through a respirometric method. To find the model best fitting the experimental data and to obtain the kinetic parameters, the equations of Monod, Moser, Contois and Tessier were applied. The kinetic behavior of S. baltica was fitted to Monod model for sodium acetate and tween 80, while it was adjusted to Contois model for glucose and peptone. In this regard, peptone was consumed faster than the other substrates, as indicated by the highest values of substrate degradation rate, which exceeded 60 mg O2 L−1 h−1. Conclusions Proteolytic metabolism was favored than lipidic and glucidic metabolism, which could contribute much more to mineralization and recycling of proteins than lipids and carbohydrates. Article in Journal/Newspaper White Sea Directory of Open Access Journals: DOAJ Articles White Sea Kandalaksha ENVELOPE(32.417,32.417,67.133,67.133) Moser ENVELOPE(-62.317,-62.317,-64.850,-64.850) Microbial Cell Factories 16 1 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Carbon utilization Kinetics Modeling Shewanella baltica Microbiology QR1-502 |
spellingShingle |
Carbon utilization Kinetics Modeling Shewanella baltica Microbiology QR1-502 Juan Carlos Leyva-Díaz José Manuel Poyatos Paolo Barghini Susanna Gorrasi Massimiliano Fenice Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry |
topic_facet |
Carbon utilization Kinetics Modeling Shewanella baltica Microbiology QR1-502 |
description |
Abstract Background Shewanella baltica KB30 was isolated from seawater collected in Kandalaksha Bay, White Sea (Russia). This strain is known for its ability to grow on a pool of different substrates, including carbohydrates, carboxylic and amino acids, and lipids. However, no data are available on its metabolic efficiency in relation to the use of different carbon sources typologies. This work represents the first attempt to characterize S. baltica by its heterotrophic kinetic performance. Results Growth and substrate consumption, during the biodegradation of sodium acetate, glucose, tween 80 and peptone, were analyzed through a respirometric method. To find the model best fitting the experimental data and to obtain the kinetic parameters, the equations of Monod, Moser, Contois and Tessier were applied. The kinetic behavior of S. baltica was fitted to Monod model for sodium acetate and tween 80, while it was adjusted to Contois model for glucose and peptone. In this regard, peptone was consumed faster than the other substrates, as indicated by the highest values of substrate degradation rate, which exceeded 60 mg O2 L−1 h−1. Conclusions Proteolytic metabolism was favored than lipidic and glucidic metabolism, which could contribute much more to mineralization and recycling of proteins than lipids and carbohydrates. |
format |
Article in Journal/Newspaper |
author |
Juan Carlos Leyva-Díaz José Manuel Poyatos Paolo Barghini Susanna Gorrasi Massimiliano Fenice |
author_facet |
Juan Carlos Leyva-Díaz José Manuel Poyatos Paolo Barghini Susanna Gorrasi Massimiliano Fenice |
author_sort |
Juan Carlos Leyva-Díaz |
title |
Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry |
title_short |
Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry |
title_full |
Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry |
title_fullStr |
Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry |
title_full_unstemmed |
Kinetic modeling of Shewanella baltica KB30 growth on different substrates through respirometry |
title_sort |
kinetic modeling of shewanella baltica kb30 growth on different substrates through respirometry |
publisher |
BMC |
publishDate |
2017 |
url |
https://doi.org/10.1186/s12934-017-0805-7 https://doaj.org/article/42c32d151a0047b9a77884f2e13bbfe4 |
long_lat |
ENVELOPE(32.417,32.417,67.133,67.133) ENVELOPE(-62.317,-62.317,-64.850,-64.850) |
geographic |
White Sea Kandalaksha Moser |
geographic_facet |
White Sea Kandalaksha Moser |
genre |
White Sea |
genre_facet |
White Sea |
op_source |
Microbial Cell Factories, Vol 16, Iss 1, Pp 1-11 (2017) |
op_relation |
http://link.springer.com/article/10.1186/s12934-017-0805-7 https://doaj.org/toc/1475-2859 doi:10.1186/s12934-017-0805-7 1475-2859 https://doaj.org/article/42c32d151a0047b9a77884f2e13bbfe4 |
op_doi |
https://doi.org/10.1186/s12934-017-0805-7 |
container_title |
Microbial Cell Factories |
container_volume |
16 |
container_issue |
1 |
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1766234408852914176 |