Genome-Scale Metabolic Reconstruction and in Silico Perturbation Analysis of the Polar Diatom Fragilariopsis cylindrus Predicts High Metabolic Robustness

Diatoms are major primary producers in polar environments where they can actively grow under extremely variable conditions. Integrative modeling using a genome-scale model (GSM) is a powerful approach to decipher the complex interactions between components of diatom metabolism and can provide insigh...

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Published in:Biology
Main Authors: Michel Lavoie, Blanche Saint-Béat, Jan Strauss, Sébastien Guérin, Antoine Allard, Simon V. Hardy, Angela Falciatore, Johann Lavaud
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
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Online Access:https://doi.org/10.3390/biology9020030
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spelling ftmdpi:oai:mdpi.com:/2079-7737/9/2/30/ 2023-08-20T04:04:48+02:00 Genome-Scale Metabolic Reconstruction and in Silico Perturbation Analysis of the Polar Diatom Fragilariopsis cylindrus Predicts High Metabolic Robustness Michel Lavoie Blanche Saint-Béat Jan Strauss Sébastien Guérin Antoine Allard Simon V. Hardy Angela Falciatore Johann Lavaud agris 2020-02-17 application/pdf https://doi.org/10.3390/biology9020030 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/biology9020030 https://creativecommons.org/licenses/by/4.0/ Biology; Volume 9; Issue 2; Pages: 30 flux balance analysis metabolic network arctic systems biology reaction deletion gene deletion Text 2020 ftmdpi https://doi.org/10.3390/biology9020030 2023-07-31T23:07:30Z Diatoms are major primary producers in polar environments where they can actively grow under extremely variable conditions. Integrative modeling using a genome-scale model (GSM) is a powerful approach to decipher the complex interactions between components of diatom metabolism and can provide insights into metabolic mechanisms underlying their evolutionary success in polar ecosystems. We developed the first GSM for a polar diatom, Fragilariopsis cylindrus, which enabled us to study its metabolic robustness using sensitivity analysis. We find that the predicted growth rate was robust to changes in all model parameters (i.e., cell biochemical composition) except the carbon uptake rate. Constraints on total cellular carbon buffer the effect of changes in the input parameters on reaction fluxes and growth rate. We also show that single reaction deletion of 20% to 32% of active (nonzero flux) reactions and single gene deletion of 44% to 55% of genes associated with active reactions affected the growth rate, as well as the production fluxes of total protein, lipid, carbohydrate, DNA, RNA, and pigments by less than 1%, which was due to the activation of compensatory reactions (e.g., analogous enzymes and alternative pathways) with more highly connected metabolites involved in the reactions that were robust to deletion. Interestingly, including highly divergent alleles unique for F. cylindrus increased its metabolic robustness to cellular perturbations even more. Overall, our results underscore the high robustness of metabolism in F. cylindrus, a feature that likely helps to maintain cell homeostasis under polar conditions. Text Arctic MDPI Open Access Publishing Arctic Biology 9 2 30
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic flux balance analysis
metabolic network
arctic
systems biology
reaction deletion
gene deletion
spellingShingle flux balance analysis
metabolic network
arctic
systems biology
reaction deletion
gene deletion
Michel Lavoie
Blanche Saint-Béat
Jan Strauss
Sébastien Guérin
Antoine Allard
Simon V. Hardy
Angela Falciatore
Johann Lavaud
Genome-Scale Metabolic Reconstruction and in Silico Perturbation Analysis of the Polar Diatom Fragilariopsis cylindrus Predicts High Metabolic Robustness
topic_facet flux balance analysis
metabolic network
arctic
systems biology
reaction deletion
gene deletion
description Diatoms are major primary producers in polar environments where they can actively grow under extremely variable conditions. Integrative modeling using a genome-scale model (GSM) is a powerful approach to decipher the complex interactions between components of diatom metabolism and can provide insights into metabolic mechanisms underlying their evolutionary success in polar ecosystems. We developed the first GSM for a polar diatom, Fragilariopsis cylindrus, which enabled us to study its metabolic robustness using sensitivity analysis. We find that the predicted growth rate was robust to changes in all model parameters (i.e., cell biochemical composition) except the carbon uptake rate. Constraints on total cellular carbon buffer the effect of changes in the input parameters on reaction fluxes and growth rate. We also show that single reaction deletion of 20% to 32% of active (nonzero flux) reactions and single gene deletion of 44% to 55% of genes associated with active reactions affected the growth rate, as well as the production fluxes of total protein, lipid, carbohydrate, DNA, RNA, and pigments by less than 1%, which was due to the activation of compensatory reactions (e.g., analogous enzymes and alternative pathways) with more highly connected metabolites involved in the reactions that were robust to deletion. Interestingly, including highly divergent alleles unique for F. cylindrus increased its metabolic robustness to cellular perturbations even more. Overall, our results underscore the high robustness of metabolism in F. cylindrus, a feature that likely helps to maintain cell homeostasis under polar conditions.
format Text
author Michel Lavoie
Blanche Saint-Béat
Jan Strauss
Sébastien Guérin
Antoine Allard
Simon V. Hardy
Angela Falciatore
Johann Lavaud
author_facet Michel Lavoie
Blanche Saint-Béat
Jan Strauss
Sébastien Guérin
Antoine Allard
Simon V. Hardy
Angela Falciatore
Johann Lavaud
author_sort Michel Lavoie
title Genome-Scale Metabolic Reconstruction and in Silico Perturbation Analysis of the Polar Diatom Fragilariopsis cylindrus Predicts High Metabolic Robustness
title_short Genome-Scale Metabolic Reconstruction and in Silico Perturbation Analysis of the Polar Diatom Fragilariopsis cylindrus Predicts High Metabolic Robustness
title_full Genome-Scale Metabolic Reconstruction and in Silico Perturbation Analysis of the Polar Diatom Fragilariopsis cylindrus Predicts High Metabolic Robustness
title_fullStr Genome-Scale Metabolic Reconstruction and in Silico Perturbation Analysis of the Polar Diatom Fragilariopsis cylindrus Predicts High Metabolic Robustness
title_full_unstemmed Genome-Scale Metabolic Reconstruction and in Silico Perturbation Analysis of the Polar Diatom Fragilariopsis cylindrus Predicts High Metabolic Robustness
title_sort genome-scale metabolic reconstruction and in silico perturbation analysis of the polar diatom fragilariopsis cylindrus predicts high metabolic robustness
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/biology9020030
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Biology; Volume 9; Issue 2; Pages: 30
op_relation https://dx.doi.org/10.3390/biology9020030
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/biology9020030
container_title Biology
container_volume 9
container_issue 2
container_start_page 30
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