Integrated systems-biology platform for power-to-gas technology
Ontology highlight
ABSTRACT:
ORGANISM(S): Methanothermobacter marburgensis Methanothermobacter thermautotrophicus
PROVIDER: GSE218145 | GEO | 2022/12/31
REPOSITORIES: GEO
Similar Datasets
Project description:Methanogenesis allows methanogenic archaea (methanogens) to generate cellular energy for their growth while producing methane. Hydrogenotrophic methanogens thrive on carbon dioxide and molecular hydrogen as sole carbon and energy sources. Thermophilic and hydrogenotrophic Methanothermobacter spp. have been recognized as robust biocatalysts for a circular carbon economy and are now applied in power-to-gas technology. Here, we generated the first manually curated genome-scale metabolic reconstruction for three Methanothermobacter spp.. We investigated differences in growth performance of three wild-type strains and one genetically engineered strain in two independent chemostat bioreactor experiments, first, with molecular hydrogen and carbon dioxide, and second, with sodium formate. In the first experiment, we found the highest methane production rate for Methanothermobacter thermautotrophicus ΔH, while Methanothermobacter marburgensis Marburg reached the highest biomass growth rate. Transcriptomics and proteomics data sets from these steady-state bioreactors, in combination with the implementation of a pan-model that contains combined reactions from all three microbes, allowed us to perform an interspecies comparison. While the observed differences in the growth behavior cannot be fully explained, the comparison enabled us to identify crucial differences in growth-related pathways such as formate anabolism. In the second experiment, we found stable growth with a M. thermautotrophicus ΔH plasmid-carrying strain on formate with similar performance parameters compared to wild-type Methanothermobacter thermautotrophicus Z-245. The results of the two studies demonstrate the advantages of an integrative approach combining fermentation and omics data with genome-scale modeling to reveal knowledge gaps of archaeal metabolisms and the biotechnological potential of Methanothermobacter spp. as production platform hosts.
2023-10-24 | PXD039574 | Pride
Project description:This model is described in these articles:
Casini, I., McCubbin, T., Esquivel-Elizondo, S., Luque, G.G., Evseeva, D., Fink, C., Beblawy, S., Youngblut, N.D., Aristilde, L., Huson, D., Drager, A., Ley, R., Marcellin, E., Angenent, L.T., Molitor, B. 2023. An integrated systems biology approach reveals differences in formate metabolism in the genus Methanothermobacter. Iscience, 26(10).
Casini, I., McCubbin, T., Esquivel-Elizondo, S., Luque, G.G., Evseeva, D., Fink, C., Beblawy, S., Youngblut, N.D., Aristilde, L., Huson, D., Drager, A., Ley, R., Marcellin, E., Angenent, L.T., Molitor, B. 2022. An integrated systems-biology platform for power-to-gas technology. bioRxiv, 2022.12.30.522236.
Methanogenesis allows methanogenic archaea (methanogens) to generate cellular energy for their growth while producing methane. Hydrogenotrophic methanogens thrive on carbon dioxide and molecular hydrogen as sole carbon and energy sources. Thermophilic and hydrogenotrophic Methanothermobacter spp. have been recognized as robust biocatalysts for a circular carbon economy and are now applied in power-to-gas technology. Here, we generated the first manually curated genome-scale metabolic reconstruction for three Methanothermobacter spp.. We investigated differences in growth performance of three wild-type strains and one genetically engineered strain in two independent chemostat bioreactor experiments, first, with molecular hydrogen and carbon dioxide, and second, with sodium formate. In the first experiment, we found the highest methane production rate for Methanothermobacter thermautotrophicus ΔH, while Methanothermobacter marburgensis Marburg reached the highest biomass growth rate. Transcriptomics and proteomics data sets from these steady-state bioreactors, in combination with the implementation of a pan-model that contains combined reactions from all three microbes, allowed us to perform an interspecies comparison. While the observed differences in the growth behavior cannot be fully explained, the comparison enabled us to identify crucial differences in growth-related pathways such as formate anabolism. In the second experiment, we found stable growth with a M. thermautotrophicus ΔH plasmid-carrying strain on formate with similar performance parameters compared to wild-type Methanothermobacter thermautotrophicus Z-245. The results of the two studies demonstrate the advantages of an integrative approach combining fermentation and omics data with genome-scale modeling to reveal knowledge gaps of archaeal metabolisms and the biotechnological potential of Methanothermobacter spp. as production platform hosts.
2024-01-11 | MODEL2211290003 | BioModels
Project description:(iMTD22IC)
This model is described in these articles:
Casini, I., McCubbin, T., Esquivel-Elizondo, S., Luque, G.G., Evseeva, D., Fink, C., Beblawy, S., Youngblut, N.D., Aristilde, L., Huson, D., Drager, A., Ley, R., Marcellin, E., Angenent, L.T., Molitor, B. 2023. An integrated systems biology approach reveals differences in formate metabolism in the genus Methanothermobacter. Iscience, 26(10).
Casini, I., McCubbin, T., Esquivel-Elizondo, S., Luque, G.G., Evseeva, D., Fink, C., Beblawy, S., Youngblut, N.D., Aristilde, L., Huson, D., Drager, A., Ley, R., Marcellin, E., Angenent, L.T., Molitor, B. 2022. An integrated systems-biology platform for power-to-gas technology. bioRxiv, 2022.12.30.522236.
Methanogenesis allows methanogenic archaea (methanogens) to generate cellular energy for their growth while producing methane. Hydrogenotrophic methanogens thrive on carbon dioxide and molecular hydrogen as sole carbon and energy sources. Thermophilic and hydrogenotrophic Methanothermobacter spp. have been recognized as robust biocatalysts for a circular carbon economy and are now applied in power-to-gas technology. Here, we generated the first manually curated genome-scale metabolic reconstruction for three Methanothermobacter spp.. We investigated differences in growth performance of three wild-type strains and one genetically engineered strain in two independent chemostat bioreactor experiments, first, with molecular hydrogen and carbon dioxide, and second, with sodium formate. In the first experiment, we found the highest methane production rate for Methanothermobacter thermautotrophicus ΔH, while Methanothermobacter marburgensis Marburg reached the highest biomass growth rate. Transcriptomics and proteomics data sets from these steady-state bioreactors, in combination with the implementation of a pan-model that contains combined reactions from all three microbes, allowed us to perform an interspecies comparison. While the observed differences in the growth behavior cannot be fully explained, the comparison enabled us to identify crucial differences in growth-related pathways such as formate anabolism. In the second experiment, we found stable growth with a M. thermautotrophicus ΔH plasmid-carrying strain on formate with similar performance parameters compared to wild-type Methanothermobacter thermautotrophicus Z-245. The results of the two studies demonstrate the advantages of an integrative approach combining fermentation and omics data with genome-scale modeling to reveal knowledge gaps of archaeal metabolisms and the biotechnological potential of Methanothermobacter spp. as production platform hosts.
2024-01-11 | MODEL2211290001 | BioModels
Project description:(iMTD22IC)
This model is described in these articles:
Casini, I., McCubbin, T., Esquivel-Elizondo, S., Luque, G.G., Evseeva, D., Fink, C., Beblawy, S., Youngblut, N.D., Aristilde, L., Huson, D., Drager, A., Ley, R., Marcellin, E., Angenent, L.T., Molitor, B. 2023. An integrated systems biology approach reveals differences in formate metabolism in the genus Methanothermobacter. Iscience, 26(10).
Casini, I., McCubbin, T., Esquivel-Elizondo, S., Luque, G.G., Evseeva, D., Fink, C., Beblawy, S., Youngblut, N.D., Aristilde, L., Huson, D., Drager, A., Ley, R., Marcellin, E., Angenent, L.T., Molitor, B. 2022. An integrated systems-biology platform for power-to-gas technology. bioRxiv, 2022.12.30.522236.
Methanogenesis allows methanogenic archaea (methanogens) to generate cellular energy for their growth while producing methane. Hydrogenotrophic methanogens thrive on carbon dioxide and molecular hydrogen as sole carbon and energy sources. Thermophilic and hydrogenotrophic Methanothermobacter spp. have been recognized as robust biocatalysts for a circular carbon economy and are now applied in power-to-gas technology. Here, we generated the first manually curated genome-scale metabolic reconstruction for three Methanothermobacter spp.. We investigated differences in growth performance of three wild-type strains and one genetically engineered strain in two independent chemostat bioreactor experiments, first, with molecular hydrogen and carbon dioxide, and second, with sodium formate. In the first experiment, we found the highest methane production rate for Methanothermobacter thermautotrophicus ΔH, while Methanothermobacter marburgensis Marburg reached the highest biomass growth rate. Transcriptomics and proteomics data sets from these steady-state bioreactors, in combination with the implementation of a pan-model that contains combined reactions from all three microbes, allowed us to perform an interspecies comparison. While the observed differences in the growth behavior cannot be fully explained, the comparison enabled us to identify crucial differences in growth-related pathways such as formate anabolism. In the second experiment, we found stable growth with a M. thermautotrophicus ΔH plasmid-carrying strain on formate with similar performance parameters compared to wild-type Methanothermobacter thermautotrophicus Z-245. The results of the two studies demonstrate the advantages of an integrative approach combining fermentation and omics data with genome-scale modeling to reveal knowledge gaps of archaeal metabolisms and the biotechnological potential of Methanothermobacter spp. as production platform hosts.
2024-01-11 | MODEL2211290002 | BioModels
Project description:Meta-proteomics analysis approach in the application of biogas production from anaerobic digestion has many advantages that has not been fully uncovered yet. This study aims to investigate biogas production from a stable 2-stage chicken manure fermentation system in chemical and biological perspective. The diversity and functional protein changes from the 1st stage to 2nd stage is a good indication to expose the differential metabolic processes in anaerobic digestion. The highlight of identified functional proteins explain the causation of accumulated ammonia and carbon sources for methane production. Due to the ammonia stress and nutrient limitation, the hydrogenotrophic methanogenic pathway is adopted as indicative of meta-proteomics data involving the key methanogenic substrates (formate and acetate). Unlike traditional meta-genomic analysis, this study could provide both species names of microorganism and enzymes to directly point the generation pathway of methane and carbon dioxide in investigating biogas production of chicken manure.
2021-02-08 | PXD022498 | Pride
Project description:Richards2016 - Genome-scale metabolic
reconstruction of Methanococcus maripaludis (iMR539)
This model is described in the article:
Exploring Hydrogenotrophic
Methanogenesis: a Genome Scale Metabolic Reconstruction of
Methanococcus maripaludis.
Richards MA, Lie TJ, Zhang J,
Ragsdale SW, Leigh JA, Price ND.
J. Bacteriol. 2016 Dec; 198(24):
3379-3390
Abstract:
Hydrogenotrophic methanogenesis occurs in multiple
environments, ranging from the intestinal tracts of animals to
anaerobic sediments and hot springs. Energy conservation in
hydrogenotrophic methanogens was long a mystery; only within
the last decade was it reported that net energy conservation
for growth depends on electron bifurcation. In this work, we
focus on Methanococcus maripaludis, a well-studied
hydrogenotrophic marine methanogen. To better understand
hydrogenotrophic methanogenesis and compare it with
methylotrophic methanogenesis that utilizes oxidative
phosphorylation rather than electron bifurcation, we have built
iMR539, a genome scale metabolic reconstruction that accounts
for 539 of the 1,722 protein-coding genes of M. maripaludis
strain S2. Our reconstructed metabolic network uses recent
literature to not only represent the central electron
bifurcation reaction but also incorporate vital biosynthesis
and assimilation pathways, including unique cofactor and
coenzyme syntheses. We show that our model accurately predicts
experimental growth and gene knockout data, with 93% accuracy
and a Matthews correlation coefficient of 0.78. Furthermore, we
use our metabolic network reconstruction to probe the
implications of electron bifurcation by showing its
essentiality, as well as investigating the infeasibility of
aceticlastic methanogenesis in the network. Additionally, we
demonstrate a method of applying thermodynamic constraints to a
metabolic model to quickly estimate overall free-energy changes
between what comes in and out of the cell. Finally, we describe
a novel reconstruction-specific computational toolbox we
created to improve usability. Together, our results provide a
computational network for exploring hydrogenotrophic
methanogenesis and confirm the importance of electron
bifurcation in this process.Understanding and applying
hydrogenotrophic methanogenesis is a promising avenue for
developing new bioenergy technologies around methane gas.
Although a significant portion of biological methane is
generated through this environmentally ubiquitous pathway,
existing methanogen models portray the more traditional energy
conservation mechanisms that are found in other methanogens. We
have constructed a genome scale metabolic network of
Methanococcus maripaludis that explicitly accounts for all
major reactions involved in hydrogenotrophic methanogenesis.
Our reconstruction demonstrates the importance of electron
bifurcation in central metabolism, providing both a window into
hydrogenotrophic methanogenesis and a hypothesis-generating
platform to fuel metabolic engineering efforts.
This model is hosted on
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and identified by:
MODEL1607200000.
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2016-12-08 | MODEL1607200000 | BioModels
Project description:Hydrogenotrophic methanogenic Archaea are defined by a H2 requirement for growth. Despite this requirement, many hydrogenotrophs are also capable of growth with formate as an electron donor for methanogenesis. Hydrogenotrophs respond to H2 starvation both phenotypically and at the level of gene expression; however, the responses during growth on formate have not been characterized. Here we report that during continuous culture of Methanococcus maripaludis under defined nutrient conditions, growth yields relative to methane production decreased markedly with either H2 excess or formate excess, suggesting that energy spilling occurs. Using microarray analysis, we show that the expression of genes encoding F420-dependent steps of methanogenesis, including one of two formate dehydrogenases, increased with H2 starvation, but with formate occurred at high levels regardless of limitation or excess. One gene, encoding H2-dependent methylene-tetrahydromethanopterin dehydrogenase, decreased in expression with either H2 limitation or formate limitation. Expression of genes for the second formate dehydrogenase, molybdenum-dependent formylmethanofuran dehydrogenase, and molybdenum transport increased specifically with formate limitation. Of the two formate dehydrogenases, only the first could support growth on formate in batch culture where formate was in excess.
2013-05-03 | GSE42111 | GEO
Project description:Methanogens catalyze the critical, methane-producing step (called methanogenesis) in the anaerobic decomposition of organic matter and have applications in carbon-neutral fuel production. Here, we present the first predictive model of global gene regulation of methanogenesis in a hydrogenotrophic methanogen, Methanococcus maripaludis. We generated a comprehensive list of genes (protein-coding and non-coding) for M. maripaludis through integrated analysis of the transcriptome structure and a newly constructed Peptide Atlas. The environment and gene-regulatory influence network (EGRIN) model of the strain was constructed from a compendium of transcriptome data that was collected over 100 different steady-state and time course experiments that were performed in chemostats, or batch cultures, under a spectrum of environmental perturbations that modulated methanogenesis. We discovered that at least five regulatory mechanisms act in a combinatorial scheme to inter-coordinate key steps of methanogenesis with different processes such as motility, ATP biosynthesis, and carbon assimilation. Through a combination of genetic and environmental perturbation experiments we have validated the EGRIN-predicted role of two novel TFs in the regulation of phosphate-dependent repression of formate dehydorgenase -- a key enzyme in the methanogenesis pathway.
2013-09-16 | GSE42115 | GEO
Project description:Methanogens catalyze the critical, methane-producing step (called methanogenesis) in the anaerobic decomposition of organic matter and have applications in carbon-neutral fuel production. Here, we present the first predictive model of global gene regulation of methanogenesis in a hydrogenotrophic methanogen, Methanococcus maripaludis. We generated a comprehensive list of genes (protein-coding and non-coding) for M. maripaludis through integrated analysis of the transcriptome structure and a newly constructed Peptide Atlas. The environment and gene-regulatory influence network (EGRIN) model of the strain was constructed from a compendium of transcriptome data that was collected over 100 different steady-state and time course experiments that were performed in chemostats, or batch cultures, under a spectrum of environmental perturbations that modulated methanogenesis. We discovered that at least five regulatory mechanisms act in a combinatorial scheme to inter-coordinate key steps of methanogenesis with different processes such as motility, ATP biosynthesis, and carbon assimilation. Through a combination of genetic and environmental perturbation experiments we have validated the EGRIN-predicted role of two novel TFs in the regulation of phosphate-dependent repression of formate dehydorgenase – a key enzyme in the methanogenesis pathway.
2013-09-16 | GSE42167 | GEO
Project description:Methanogens catalyze the critical, methane-producing step (called methanogenesis) in the anaerobic decomposition of organic matter and have applications in carbon-neutral fuel production. Here, we present the first predictive model of global gene regulation of methanogenesis in a hydrogenotrophic methanogen, Methanococcus maripaludis. We generated a comprehensive list of genes (protein-coding and non-coding) for M. maripaludis through integrated analysis of the transcriptome structure and a newly constructed Peptide Atlas. The environment and gene-regulatory influence network (EGRIN) model of the strain was constructed from a compendium of transcriptome data that was collected over 100 different steady-state and time course experiments that were performed in chemostats, or batch cultures, under a spectrum of environmental perturbations that modulated methanogenesis. We discovered that at least five regulatory mechanisms act in a combinatorial scheme to inter-coordinate key steps of methanogenesis with different processes such as motility, ATP biosynthesis, and carbon assimilation. Through a combination of genetic and environmental perturbation experiments we have validated the EGRIN-predicted role of two novel TFs in the regulation of phosphate-dependent repression of formate dehydorgenase – a key enzyme in the methanogenesis pathway.
2013-09-16 | GSE42166 | GEO