» Articles » PMID: 31822604

Quantifying Methane and Methanol Metabolism of "" 5GB1C Under Substrate Limitation

Overview
Journal mSystems
Specialty Microbiology
Date 2019 Dec 12
PMID 31822604
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Methanotrophic bacteria are a group of prokaryotes capable of using methane as their sole carbon and energy source. Although efforts have been made to simulate and elucidate their metabolism via computational approaches or C tracer analysis, major gaps still exist in our understanding of methanotrophic metabolism at the systems level. Particularly, direct measurements of system-wide fluxes are required to understand metabolic network function. Here, we quantified the central metabolic fluxes of a type I methanotroph, "" 5GB1C, formerly 5GB1C, via C isotopically nonstationary metabolic flux analysis (INST-MFA). We performed labeling experiments on chemostat cultures by switching substrates from C to C input. Following the switch, we measured dynamic changes of labeling patterns and intracellular pool sizes of several intermediates, which were later used for data fitting and flux calculations. Through computational optimizations, we quantified methane and methanol metabolism at two growth rates (0.1 h and 0.05 h). The resulting flux maps reveal a core consensus central metabolic flux phenotype across different growth conditions: a strong ribulose monophosphate cycle, a preference for the Embden-Meyerhof-Parnas pathway as the primary glycolytic pathway, and a tricarboxylic acid cycle showing small yet significant fluxes. This central metabolic consistency is further supported by a good linear correlation between fluxes at the two growth rates. Specific differences between methane and methanol growth observed previously are maintained under substrate limitation, albeit with smaller changes. The substrate oxidation and glycolysis pathways together contribute over 80% of total energy production, while other pathways play less important roles. Methanotrophic metabolism has been under investigation for decades using biochemical and genetic approaches. Recently, a further step has been taken toward understanding methanotrophic metabolism in a quantitative manner by means of flux balance analysis (FBA), a mathematical approach that predicts fluxes constrained by mass balance and a few experimental measurements. However, no study has previously been undertaken to experimentally quantitate the complete methanotrophic central metabolism. The significance of this study is to fill such a gap by performing C INST-MFA on a fast-growing methanotroph. Our quantitative insights into the methanotrophic carbon and energy metabolism will pave the way for future FBA studies and set the stage for rational design of methanotrophic strains for industrial applications. Further, the experimental strategies can be applied to other methane or methanol utilizers, and the results will offer a unique and quantitative perspective of diverse methylotrophic metabolism.

Citing Articles

Leveraging genome-scale metabolic models to understand aerobic methanotrophs.

Wutkowska M, Tlaskal V, Bordel S, Stein L, Nweze J, Daebeler A ISME J. 2024; 18(1).

PMID: 38861460 PMC: 11195481. DOI: 10.1093/ismejo/wrae102.


A methanotrophic bacterium to enable methane removal for climate mitigation.

He L, Groom J, Wilson E, Fernandez J, Konopka M, Beck D Proc Natl Acad Sci U S A. 2023; 120(35):e2310046120.

PMID: 37603746 PMC: 10466089. DOI: 10.1073/pnas.2310046120.


Methanol bioconversion in Methylotuvimicrobium buryatense 5GB1C through self-cycling fermentation.

Tan Y, Stein L, Sauvageau D Bioprocess Biosyst Eng. 2023; 46(7):969-980.

PMID: 37160768 DOI: 10.1007/s00449-023-02876-3.


Multispecies Populations of Methanotrophic and Cultivation of a Likely Dominant Species from the Iheya North Deep-Sea Hydrothermal Field.

Hirayama H, Takaki Y, Abe M, Imachi H, Ikuta T, Miyazaki J Appl Environ Microbiol. 2021; 88(2):e0075821.

PMID: 34788070 PMC: 8788690. DOI: 10.1128/AEM.00758-21.


Enzyme engineering and testing of a formate reduction pathway.

Wang J, Anderson K, Yang E, He L, Lidstrom M Synth Biol (Oxf). 2021; 6(1):ysab020.

PMID: 34651085 PMC: 8511477. DOI: 10.1093/synbio/ysab020.


References
1.
Hu B, Yang Y, Beck D, Wang Q, Chen W, Yang J . Comprehensive molecular characterization of Methylobacterium extorquens AM1 adapted for 1-butanol tolerance. Biotechnol Biofuels. 2016; 9:84. PMC: 4827201. DOI: 10.1186/s13068-016-0497-y. View

2.
Groom J, Ford S, Pesesky M, Lidstrom M . A Mutagenic Screen Identifies a TonB-Dependent Receptor Required for the Lanthanide Metal Switch in the Type I Methanotroph "Methylotuvimicrobium buryatense" 5GB1C. J Bacteriol. 2019; 201(15). PMC: 6620403. DOI: 10.1128/JB.00120-19. View

3.
Orata F, Meier-Kolthoff J, Sauvageau D, Stein L . Phylogenomic Analysis of the Gammaproteobacterial Methanotrophs (Order ) Calls for the Reclassification of Members at the Genus and Species Levels. Front Microbiol. 2019; 9:3162. PMC: 6315193. DOI: 10.3389/fmicb.2018.03162. View

4.
Long C, Antoniewicz M . High-resolution C metabolic flux analysis. Nat Protoc. 2019; 14(10):2856-2877. DOI: 10.1038/s41596-019-0204-0. View

5.
Nguyen A, Kim D, Lee E . A comparative transcriptome analysis of the novel obligate methanotroph Methylomonas sp. DH-1 reveals key differences in transcriptional responses in C1 and secondary metabolite pathways during growth on methane and methanol. BMC Genomics. 2019; 20(1):130. PMC: 6373157. DOI: 10.1186/s12864-019-5487-6. View