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Metabolic Modeling of Hermetia illucens Larvae Resource Allocation for High-Value Fatty Acid Production
All plant and animal kingdom organisms use highly connected biochemical networks to facilitate sustaining, proliferation, and growth functions. While the biochemical network details are well known, the understanding of the intense regulation principles is still limited. We chose to investigate the H...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304575/ https://www.ncbi.nlm.nih.gov/pubmed/37367882 http://dx.doi.org/10.3390/metabo13060724 |
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author | Grausa, Kristina Siddiqui, Shahida A. Lameyer, Norbert Wiesotzki, Karin Smetana, Sergiy Pentjuss, Agris |
author_facet | Grausa, Kristina Siddiqui, Shahida A. Lameyer, Norbert Wiesotzki, Karin Smetana, Sergiy Pentjuss, Agris |
author_sort | Grausa, Kristina |
collection | PubMed |
description | All plant and animal kingdom organisms use highly connected biochemical networks to facilitate sustaining, proliferation, and growth functions. While the biochemical network details are well known, the understanding of the intense regulation principles is still limited. We chose to investigate the Hermetia illucens fly at the larval stage because this stage is a crucial period for the successful accumulation and allocation of resources for the subsequent organism’s developmental stages. We combined iterative wet lab experiments and innovative metabolic modeling design approaches to simulate and explain the H. illucens larval stage resource allocation processes and biotechnology potential. We performed time-based growth and high-value chemical compound accumulation wet lab chemical analysis experiments on larvae and the Gainesville diet composition. We built and validated the first H. illucens medium-size, stoichiometric metabolic model to predict the effects of diet-based alterations on fatty acid allocation potential. Using optimization methods such as flux balance and flux variability analysis on the novel insect metabolic model, we predicted that doubled essential amino acid consumption increased the growth rate by 32%, but pure glucose consumption had no positive impact on growth. In the case of doubled pure valine consumption, the model predicted a 2% higher growth rate. In this study, we describe a new framework for researching the impact of dietary alterations on the metabolism of multi-cellular organisms at different developmental stages for improved, sustainable, and directed high-value chemicals. |
format | Online Article Text |
id | pubmed-10304575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103045752023-06-29 Metabolic Modeling of Hermetia illucens Larvae Resource Allocation for High-Value Fatty Acid Production Grausa, Kristina Siddiqui, Shahida A. Lameyer, Norbert Wiesotzki, Karin Smetana, Sergiy Pentjuss, Agris Metabolites Article All plant and animal kingdom organisms use highly connected biochemical networks to facilitate sustaining, proliferation, and growth functions. While the biochemical network details are well known, the understanding of the intense regulation principles is still limited. We chose to investigate the Hermetia illucens fly at the larval stage because this stage is a crucial period for the successful accumulation and allocation of resources for the subsequent organism’s developmental stages. We combined iterative wet lab experiments and innovative metabolic modeling design approaches to simulate and explain the H. illucens larval stage resource allocation processes and biotechnology potential. We performed time-based growth and high-value chemical compound accumulation wet lab chemical analysis experiments on larvae and the Gainesville diet composition. We built and validated the first H. illucens medium-size, stoichiometric metabolic model to predict the effects of diet-based alterations on fatty acid allocation potential. Using optimization methods such as flux balance and flux variability analysis on the novel insect metabolic model, we predicted that doubled essential amino acid consumption increased the growth rate by 32%, but pure glucose consumption had no positive impact on growth. In the case of doubled pure valine consumption, the model predicted a 2% higher growth rate. In this study, we describe a new framework for researching the impact of dietary alterations on the metabolism of multi-cellular organisms at different developmental stages for improved, sustainable, and directed high-value chemicals. MDPI 2023-06-03 /pmc/articles/PMC10304575/ /pubmed/37367882 http://dx.doi.org/10.3390/metabo13060724 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Grausa, Kristina Siddiqui, Shahida A. Lameyer, Norbert Wiesotzki, Karin Smetana, Sergiy Pentjuss, Agris Metabolic Modeling of Hermetia illucens Larvae Resource Allocation for High-Value Fatty Acid Production |
title | Metabolic Modeling of Hermetia illucens Larvae Resource Allocation for High-Value Fatty Acid Production |
title_full | Metabolic Modeling of Hermetia illucens Larvae Resource Allocation for High-Value Fatty Acid Production |
title_fullStr | Metabolic Modeling of Hermetia illucens Larvae Resource Allocation for High-Value Fatty Acid Production |
title_full_unstemmed | Metabolic Modeling of Hermetia illucens Larvae Resource Allocation for High-Value Fatty Acid Production |
title_short | Metabolic Modeling of Hermetia illucens Larvae Resource Allocation for High-Value Fatty Acid Production |
title_sort | metabolic modeling of hermetia illucens larvae resource allocation for high-value fatty acid production |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304575/ https://www.ncbi.nlm.nih.gov/pubmed/37367882 http://dx.doi.org/10.3390/metabo13060724 |
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