- 1Biochemical Conversion Department, DBFZ Deutsches Biomasseforschungszentrum gemeinnützige GmbH, Leipzig, Germany
- 2Department of Environmental Microbiology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
- 3Department of Biotechnology and Nanomedicine, SINTEF Industry, Trondheim, Norway
Apart from their archetypic use in anaerobic digestion (AD) methanogenic archaea are targeted for a wide range of applications. Using different methanogenic archaea for one specific application requires the optimization of culture media to enable the growth of different strains under identical environmental conditions, e.g., in microbial electrochemical technologies (MET) for (bio)electromethanation. Here we present a new culture medium (BFS01) adapted from the DSM-120 medium by omitting resazurin, yeast extract, casitone, and using a low salt concentration, that was optimized for Methanosarcina barkeri, Methanobacterium formicicum, and Methanothrix soehngenii. The aim was to provide a medium for follow-up co-culture studies using specific methanogens and Geobacter spp. dominated biofilm anodes. All three methanogens showed growth and activity in the BFS01 medium. This was demonstrated by estimating the specific growth rates (
Highlights
- Methanogens with different metabolisms can be cultured in the same growth medium.
- Primers for metabarcoding of the studied archaea were designed and verified.
1. Introduction
Methanogenic archaea represent a highly diverse group of microorganisms performing methanogenesis, that is producing methane (CH4) under strict anoxic conditions (Dworkin et al., 2006; Buan, 2018). They obtain energy by metabolizing hydrogen and carbon dioxide, acetate, formate, or short-chain methylated compounds like methanol (Neil and James, 1980; Bryant and Boone, 1987a; Long et al., 2017). Depending on the taxon and the respective metabolism, methanogenesis involves either the reduction of CO2 with H2 or the disproportionation of small organic molecules, such as acetate, formate, methanol and methylamine to methane and CO2 (Dworkin et al., 2006; Bar-Even et al., 2012; Goyal et al., 2016; Kouzuma et al., 2017). In anaerobic digestion (AD), especially hydrogenotrophic and some mixotrophic methanogens consume H2 that is produced during acido- and aceto-genesis, hence providing a natural hydrogen sink that facilitates anaerobic degradation of organic compounds to acetate and other volatile fatty acids (VFA; Kouzuma et al., 2015; Camacho and Ruggeri, 2018). The reduction of CO2 to CH4 during methanogenesis can take place either (1) via mediated interspecies electron transfer (MIET), in which methanogens use endogenous (H2) or exogenous mediators (redox-active compounds such as neutral red) as electron carriers (Park et al., 1999; Rotaru et al., 2014b; Mayer et al., 2019), or (2) direct interspecies electron transfer (DIET), in which, e.g., members of the Methanosarcinaceae and Methanosaetaceae, establish physical cell-to-cell contact with electroactive bacteria (EAB) to directly receive electrons released by the latter during oxidation of mainly acetate (Rotaru et al., 2014a; Yee and Rotaru, 2020; Yin et al., 2020).
The industrial application of methanogens within the AD process gained momentum in the mid-twentieth century. Since then, AD has been used to valorize the energy contained in organic waste and transform it into biogas which is used as a renewable energy carrier (Camacho and Ruggeri, 2018). The increasing industrial application of methanogenesis has led to growing efforts to increase the efficiency and sustainability of AD. Here, microbial electrochemical technologies (MET) are promising, e.g., as microbial fuel cells to treat effluents from biogas production, provide alternative pathways for CH4 production using microbial electrochemical methanation (Deutzmann and Spormann, 2017; Mayer et al., 2019; Kracke et al., 2020), or for developing microbial electrochemical sensors for online monitoring of AD (Hill et al., 2020). The combination of MET and AD requires the examination of specific interactions between methanogens and EAB, such as DIET, and their consequences for electroactive biofilms in AD environments. One specific example is the application of microbial electrochemical sensors using Geobacter spp. dominated biofilms on graphite electrodes for AD process monitoring (Kretzschmar et al., 2018).
Examination of interactions between microorganisms from different domains, kingdoms, phyla etc. in the same environment or at identical conditions requires compromises when adapting growth conditions like, e.g., pH, temperature, gas atmosphere, salinity, trace elements and vitamins, and redox potential. Hence, growth media and setups that enable the implementation of both, EAB including electrodes and different kinds of methanogenic archaea, are highly demanded. The growth medium is of specific interest as the existing recipes for different methanogens differ substantially and contain ingredients that can interfere with EAB or electrodes. These chemicals can be redox-active compounds (e.g., the redox-sensitive dye resazurin, used to monitor redox potential during methanogen cultivation) that can interfere with the electrodes in the electrochemical setup (Lian et al., 2016). For instance, the biochemical standard potential, of the resofurin/di-hydroresofurin complex at pH 7 is −51 mV vs. the standard hydrogen electrode (SHE) that is well within the usually applied range of electrode potentials in microbial electrochemical systems. Additionally, some compounds can be used as terminal electron acceptors by EAB, such as elemental sulfur or iron-(III)-salts (Sun et al., 2014; Yang et al., 2015). Similarly, although casitone (peptone from casein) and yeast extract have been recognized as significant factors or stimulators during methanogen growth (Dworkin et al., 2006), they could interfere with EAB when combining methanogens and MET, e.g., in the case of yeast extract being used as a mediator by EAB (Sayed et al., 2015). Certain model methanogens, like, e.g., Methanohalophilus zhilinae, require (extreme) halophilic or halotolerant growth conditions (Enzmann et al., 2018). However, high ionic strength can affect the performance of EAB (e.g., Geobacter spp. biofilm anodes) as their salt tolerance varies widely (Lefebvre et al., 2012; Liu et al., 2014; Sun et al., 2014; Kretzschmar et al., 2018). Therefore, combining methanogens and EAB in MET for further studies and especially for practical applications will require tailoring of the salt concentrations, enabling well controlled cultivation of methanogens and EAB. Finally, a well-defined medium will greatly facilitate future analytical (e.g., exometabolome) assays or modeling efforts (Bernstein et al., 2021).
Currently, the cultivation of specific methanogenic strains is associated with specific growth media, hampering their applications, e.g., for studies that involve methanogens and EAB. Such studies are highly interesting as AD-MET combinations are expected to increase the overall efficiency of AD and therefore, could contribute to maximize the energetic valorization of organic residues (De Vrieze et al., 2018). Furthermore, these growth media are usually complex and require many supplements. Therefore, it is of utmost importance to simplify, unify, and adapt media for specific methanogens of interest or design new general media resembling those of other model microorganisms, e.g., EAB, in which a wide range of methanogens could thrive. To the best of our knowledge, the design of more general methanogenic media is still poorly explored. In the present study, we designed and used the BFS01 medium, adapted from the DSM-120 medium, to grow Methanosarcina barkeri (mixotrophic methanogen), Methanobacterium formicicum (hydrogenotrophic methanogen), and Methanothrix soehngenii (acetotrophic methanogen). Further, we investigated whether and how the use of a low salt concentration and the omission of certain, partially redox active compounds (e.g., resazurin, yeast extract, casitone) in the BFS01 medium affected the morphological and physiological parameters of each methanogen. In particular, the cell shape and standard growth parameters i.e., specific growth rate ( ) and doubling time ( ) of each methanogen cultured in the BFS01 medium were assessed. To verify species identity and absence of contaminants, each methanogen was analyzed at the DNA level using whole genome nanopore sequencing and 16S rRNA gene-based amplicon sequencing.
2. Materials and methods
All microbiological experiments were conducted under strictly axenic and anoxic conditions. All chemicals were of analytical or biochemical grade. Experiments were performed as independent biological triplicates (n = 3).
2.1. Methanogenic strains
Methanobacterium formicicum MF (DSM 1535) and Methanosarcina barkeri MS (DSM 800) strains, previously purchased from the German Collection of Microorganisms and Cell cultures (DSMZ), were provided by the working group microbiology of anaerobic systems at the department of Environmental Microbiology of the Helmholtz Centre for Environmental Research, Leipzig, Germany. Methanothrix soehngenii GP6 (DSM 3671) strain was provided by the microbiology laboratory at the department for agrotechnology and food sciences of Wageningen University and Research, Wageningen, The Netherlands.
2.2. Setup preparation
The experimental setup for culturing each methanogenic strain consisted of 200 ml serum bottles closed with butyl rubber stoppers and aluminum crimp seals (LABSOLUTE, Th. Geyer GmbH, Germany). The aluminum crimp seals had a 9 mm opening to allow sampling via injection needles. Prior to the experiments, the serum bottles were thoroughly washed and dried. 500 μl of distilled water was added to each bottle, closed with aluminum foil and autoclaved at 121° C and 1.2 bar for 20 min. The bottles were subsequently placed in the anaerobic bench/GloveBox (Coy Laboratory Products Inc) and left open overnight under N2:H2 (97:3, v/v) atmosphere. After at least 12 h, 500 μl anoxic water prepared according to (Logroño et al., 2020) was added to each serum bottle, closed with previously autoclave-sterilized butyl rubber stoppers and clamped with aluminum caps. All bottles were re-sterilized by autoclaving at 121°C and 1.2 bar for 20 min.
2.3. Growth medium
Based on the composition of the recommended or commonly used media for each of the three methanogenic strains (see Supplementary Table S1), the BFS01 medium was designed (see Table 1).
The adaptation aimed to omit all redox active components (e.g., resazurin) to avoid electrochemical interferences as well as additional carbon sources (e.g., yeast extract and casitone) in studies that may involve methanogens and EAB. The salt concentration was also adapted to be suitable for the model EAB Geobacter sulfureducens and Geobacter anodireducens. All compounds (except sodium bicarbonate, vitamin, trace elements, and cysteine) were weighed into a 1 l Duran bottle (Schott AG) and dissolved with distilled water. The mixture was sparged with oxygen-free N2 gas for 60 min, tightly sealed with a butyl rubber stopper and a screw cap with 33 mm opening, and sterilized by autoclaving at 121°C and 1.2 bar for 20 min. The other stock solutions (i.e., sodium bicarbonate, vitamins, trace elements, and cysteine) were made anoxic by stirring in the anaerobic bench under N2:H2 (97:3, v/v) atmosphere for 30 min at 500 rpm. Subsequently, each stock solution was sterilized by filtration into closed, anoxic, sterile 250 ml Duran bottles, using a sterile 0.2 μm filter-needle-syringe arrangement (Sartorius Stedim Biotech GmbH, Germany) previously made anoxic by flushing with sterile oxygen-free N2. Stock solutions used as carbon and energy source, i.e., 2 mol L−1 sodium acetate and 2 mol L−1 sodium formate, as well as solutions used to adjust pH, i.e., 32% sodium hydroxide and 3 mol L−1 hydrochloric acid, were prepared in 100 ml Duran bottles, sealed with butyl rubber stoppers and screw caps, flushed with oxygen-free N2 for 30 min and sterilized by autoclaving at 121°C and 1.2 bar for 20 min. Because of its low vapor pressure, methanol was directly filter-sterilized and then rendered anoxic by flushing with sterile oxygen-free N2 for 10 min. Stock solutions of vitamin and trace elements were stored at 4°C while the other stock solutions were stored at room temperature in the dark. Fully supplemented growth medium for each methanogen was prepared by adding the respective filter-sterilized supplements to the BFS01 medium and their corresponding carbon sources (see Table 2) using a sterile anoxic needle-syringe arrangement. The final pH of each methanogenic growth medium was adjusted as indicated in Table 2 and the prepared media were stored at room temperature in the dark for later use.
Table 2. Growth conditions for methanogenic cultures, pH values adjusted according to literature (Neil and James, 1980; Huser et al., 1982; Neil et al., 1982; Touzel et al., 1988).
2.4. Cultivation of methanogens
Prior to culturing each methanogen in the BFS01 medium, they were routinely precultured in their media recommend by DSMZ (DSM-120 medium for M. barkeri and DSM-141 medium for M. formicicum, see Supplementary Table S1 for media composition) or CP anaerobic medium (M. soehngenii, see Supplementary Table S1 for media composition; Stams et al., 1993), following the recommended procedures. The growth procedure was originally adapted from the Hungate technique (Zeikus, 1977; Balch et al., 1979; Huser et al., 1982) and further modified, as in this study. 127 ml of each fully supplemented, BFS01 medium (see Tables 1, 2) was dispensed into sterile, anoxic serum bottles, using a needle-syringe arrangement.
To avoid significant carryover of yeast extract, trypticase-peptone/casitone and resazurin in the cultures, serum bottles were inoculated separately with 3 ml aliquots of each precultured methanogen corresponding to ~2.3% v/v inoculum and grown in the dark at 37°C until a similar CH4 concentration was measured in the headspace of the cultures for several days. The final inoculum was depleted in remaining yeast extract, trypticase-peptone (casitone), and resazurin by culturing twice in the BFS01 medium using ~2.3% v/v of the previous inoculum. Only cultures from the second transfer were used as inocula for subsequent investigations.
Thereafter, 120 ml of fully supplemented BFS01 medium was dispensed into anoxic and sterile serum bottles and inoculated with 10 ml inoculum (corresponding to ~7.7% v/v inoculum) of each methanogen in the late logarithmic phase or early stationary phase, determined by optical density at 600 nm (OD600) or CH4 concentration in the culture headspaces. After inoculation the M. barkeri serum bottles contained 16.50 ± 0.15 mmol L−1 acetate, 185 mmol L−1 methanol with a 0.01 bar N2:H2 ~ (97:3, v/v) gas phase, whereas the M. formicicum serum bottles contained 55.22 ± 1.42 mmol L−1 formate and were flushed for at least 2 min with a sterile H2:CO2 (50:50, v/v) gas mixture and overpressurized to 1.5 bar. After inoculation, the M. soehngenii serum bottles contained 42.17 ± 0.21 mmol L−1 acetate with a 0.5 bar N2:CO2 (50:50, v/v) gas phase. Acetate and formate concentrations of newly inoculated serum bottles were slightly higher than those presented in Table 2 due to the additional carbon input or carryover from the inocula. Uninoculated, fully supplemented BFS01 medium for each methanogen, was set up as sterile control.
All methanogenic cultures were incubated in the dark for 7 weeks at 37°C (New Brunswick Innova® 44 Incubator Shaker Series). M. barkeri and M. formicicum cultures were maintained under constant orbital shaking at 100 rpm, while M. soehngenii cultures were unshaken, the latter being known to have better growth at rest (Huser et al., 1982). During the 7-week culture period, M. formicicum cultures were routinely flushed every 3 to 4 days with sterile H2:CO2 (50:50, v/v) and overpressurized to 1.5 bar, to avoid underpressure due to H2:CO2 consumption and to remove the produced CH4. M. barkeri cultures were vented twice a week at 0.01 bar until day 28 to avoid overpressure due to the large amount of CH4 produced during methanol feeding (see also equation 5 in Table 3). In contrast, M. soehngenii cultures were not vented during the 7-week incubation period, as the pressure in the serum bottles never exceeded the security limit of 1.5 to 2 bar.
Table 3. Reactions and different Gibbs free energy changes for methanogenesis at neutral pH (Dworkin et al., 2006).
2.5. Analysis
The growth of each culture was monitored weekly using chemical oxygen demand removal ( ), consumption of acetate and formate, headspace gas composition, OD600, cell number, and phase-contrast microscopy to analyze purity and cell morphology.
The removal (i.e., the share of organic material that is consumed between two specific time intervals) was measured using cuvette tests (LCK 014, Hach-Lange), according to the manufacturer’s instructions.
The removal efficiency was calculated as follows:
Where is the initial concentration at to and the concentration at the sampling point t (Nwaigwe and Enweremadu, 2015).
For measuring the acetate and formate concentration in each methanogenic culture over the incubation time, 1 ml aliquots were sampled through the butyl rubber ports right after inoculation and then once a week. The samples were filtered using 0.2 μm syringe filters (Nylon, VWR) and stored at −20°C or analyzed immediately using high performance liquid chromatography (HPLC; Shimadzu Scientific Instruments) equipped with a refractive index detector RID 10A, a prominence diode array detector SPD.M20A, and a HiPlex H column (300 × 7.7 mm, 8 mm pore size, Agilent Technolgies, United States) with a pre-column HiPlex H column (50 mm × 7.7 mm, 8 mm pore size, Agilent Technolgies, United States).
The sample volume for HPLC measurement was 200 μl and the injection volume was 20 μl. 5 mmol L−1 sulfuric acid was used as isocratic mobile phase with a flow rate of 0.7 ml min−1 at 55°C, over a total run time of 60 min.
CH4, H2, and CO2 concentration in the headspace of each serum bottle were determined weekly during growth. Therefore, before venting or flushing the serum bottles, two replicates of 1 ml gas samples were taken through butyl rubber ports from the headspace of each serum bottle using sterile needle-syringe arrangements rendered anoxic by flushing with sterile oxygen-free N2 gas. Each sampled gas was injected into glass vials pre-flushed for 30 min with argon (Argon 4.8, Linde AG). Gas composition was analyzed using a gas chromatograph (GC) equipped with an autosampler (Perkin Elmer Inc., Waltham). The GC was equipped with HayeSep N/Mole Sieve 13X columns and a thermal conductivity detector. The oven and detector temperatures were 60°C and 200°C, respectively. The carrier gas was argon. Each gas sample was analyzed within 4 h after sampling.
The optical density of the liquid phase was determined by photometric measurement at 600 nm (OD600) using a spectrophotometer (Genesys 10S UV–Vis, Thermo Scientific). Before sampling for OD600 measurements, each bottle was sufficiently hand-shaken. 1 ml of each methanogenic cultures were placed in a cuvette and the OD600 was measured.
The purity and cell morphology of each methanogen grown in the BFS01 medium was checked by phase-contrast microscopy using a Zeiss Observer Z.1, equipped with Zen 3.0 software (blue edition), an Axiocam 503 mono Camera, and a plan Apochromat 63x/1,4 Oil Ph3 objective. Before each measurement, the cultures were thoroughly shaken by hand. Subsequently, an aliquot was withdrawn from each culture under strict anoxic and sterile conditions. 2 to 3 drops were placed on a multi-well microscope slide and visualized under the microscope.
The exponential growth phases were estimated by examining the log-values of CH4 and OD600. Then, by using the method of least squares (Microsoft Excel 2019), the specific growth rate ( ) was estimated by fitting a linear curve to the log-scaled values. Additionally, the doubling time ( ) based on CH4 concentration in the headspace and OD600 were determined. More information on the calculation of and of microorganisms is provided in the calculation section of the Supplementary Information (SI), and in the literature (Powell, 1983; Kirchman, 2002).
2.6. Molecular biology
Genomic DNA of each methanogen grown in the BFS01 medium was extracted using the Quick-DNA™ Fecal/Soil Microbe Miniprep Kit (ZYMO RESEARCH). DNA concentrations were measured by fluorescence quantification using the Qubit™ dsDNA BR Assay Kit (Thermo Fisher Scientific, cat. Q32852) and a Qubit™ 4 Fluorometer (Thermo Fisher Scientific). The purity of the DNA was evaluated by microvolume absorbance on a DS-11 FX+ (Denovix), where A260/A280 and A260/A230 values around 1.8 and 2.0, respectively, are considered as pure nucleic acid. Amplicon sequencing was used to check the purity of each methanogenic culture. To identify appropriate archaeal primers targeting the V3-V4 region of the 16S rRNA gene typically targeted in metabarcoding studies, 16S rRNA gene sequences were extracted from the published genome assemblies of M. barkeri (Genbank accessions: NZ_CP008746, NZ_CP009517, NZ_CP009526, NZ_CP009528, NZ_CP009530), M. formicicum (Genbank accessions: NZ_LN734822, NZ_CP006933, LN515531, and BBES01000067 from the BBES01 whole genome shotgun assembly), and M. soehngenii (Genbank accession: NC_015416). These 16S rRNA gene sequences as well as the published rRNA gene sequences for strains DSM 800 and DSM 1535 (Genbank accessions: AJ012094 and AF169245, respectively) were then aligned using Clone manager Suite 9.51 (Scientific and Educational Software). The V3-V4 region of the gene was checked for compatibility to the primers Bakt_341F (5′-CCTACGGGNGGCWGCAG-3′, Escherichia coli position 341–357) and Bakt_805R (5′-GACTACHVGGGTATCTAATCC-3′, E. coli position 805–785; Herlemann et al., 2011; Klindworth et al., 2013). No issues were found for the Bakt_805R primer, while there were two positions in the middle of the Bakt_341F primer that did not match with any of the 3 archaea sequences and would not produce any PCR products (data not shown). A new primer, Arch_F (5′-CCTACGGGGYGCAGCAG-3′) was designed based on the consensus of the archaea in this region. The PCR amplification targeting the V3 and V4 regions of both bacterial and archaeal 16S rRNA genes to detect possible bacteria contamination in the methanogenic cultures was run with a mixture of the degenerated primers F-bacteria (Bakt_341F extended with an Illumina adapter, 5′-TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG-CCTACGGGNGGCWGCAG-3′), F-archaea (Arch_F extended with an Illumina adapter, 5′-TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG-CCTACGGGGYGCAGCAG-3′) and, R-all (Bakt_805R extended with an Illumina adapter, 5′-GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAG-GACTACHVGGGTATCTAATCC-3′) in molar ratios reflecting the number of nucleotide variations found in each primer (i.e., F-bacteria:F-archaea:R-all 3:1:1, v/v). The priming parts of the primers are underlined.
Sequencing libraries were prepared according to the Illumina 16S Metagenomic Sequencing Library Preparation protocol (Illumina Part # 15044223 Rev. B). PCR reaction products were mixed with Gel Loading Dye Purple (6X) B7024S (New England Biolabs) and checked for size and false priming issues by 0.8% agarose gel electrophoresis (SeaKem® LE Agarose, Lonza) in 1x TAE (Thermo Fisher Scientific). The GeneRuler 1 kb DNA Ladder (Thermo Fisher Scientific) was included as a size distribution reference. The amplicon libraries were sequenced on an Illumina MiSeq with the MiSeq Reagent Kit v3 in a paired-end mode and read lengths of 300 bp. Raw sequencing data was demultiplexed and converted to fastq-files in Local Run manager (Illumina). The data were processed using the CLC Genomics Workbench 22.0.1 (Qiagen).
To confirm results from the 16S rRNA gene-based amplicon sequencing and compare to previously published genome sequences from the used strains, whole genome nanopore sequencing was performed. Sequencing libraries were generated using the Ligation Sequencing Kit (Oxford Nanopore Technologies, SQK-LSK109). DNA libraries were loaded onto a Flongle Flow Cell (FLO-FLG001, Oxford Nanopore Technologies) connected to a MinION instrument equipped with a Flongle adapter. The sequencing was controlled by MinKNOW version 21.10.4 (Oxford Nanopore Technologies). The raw nanopore sequence data were base-called using Guppy version 6.0.6 (Oxford Nanopore Technologies) with the dna_r9.4.1_450bps_hac.cfg config file and in high-accuracy mode. Guppy was also used to trim adapter sequences. The base-called reads were filtered based on length (minimum 1,000 bp) and quality (minimum Q10 for M. barkeri and M. soehngenii, minimum Q7 for M. formicium due to the lower sequencing output) using Nanofilt (De Coster et al., 2018). The reads were assembled into contigs with Flye version 2.8.1 (Kolmogorov et al., 2019). The quality of the assemblies was assessed using QUAST version 5.0.2 (Gurevich et al., 2013). Finally, estimated average nucleotide identity (ANI) and alignment percentages (AP) between the assembled genomes and available reference genomes of the three methanogens (downloaded from NCBI, https://www.ncbi.nlm.nih.gov/genome) were calculated by the Whole Genome Alignment Plugin in CLC Genomics workbench v. 22.0 (Qiagen) by employing the Create Whole Genome alignment v. 1.0 and Create Average Nucleotide Identity Comparison 1.0 tools in default setting.
2.7. Stoichiometry and Gibbs free energy of relevant methanogenesis pathways
Several reactions are involved in the metabolism of different methanogenic substrates into methane. Table 3 summarizes the different reactions and standard Gibbs free energy for methanogenesis as a function of the carbon (energy) substrate during cultivation of M. barkeri, M. formicicum, and M. soehngenii.
2.8. Statistics
Statistical analysis was performed using Origin Version 2021 (OriginLab Corporation, Northampton, MA, United States, Version 9.8.0.200). Results are presented as mean values with corresponding confidence interval (CI) at 95% confidence level calculated from triplicate analyses (Cumming et al., 2007).
3. Results
3.1. Growth and morphology of Methanosarcina barkeri, Methanobacterium formicicum, and Methanothrix soehngenii in the BFS01 medium
The growth and morphology of M. barkeri, M. formicicum, and M. soehngenii were monitored using the BFS01 medium for a total period of 7 weeks.
It was observed that M. barkeri cells aggregate and settle at the bottom of the serum bottles (Figure 1A). This was confirmed by phase-contrast microscopy, which shows that the cells aggregate in irregular-sized cell clumps connected to each other (Figure 1B). In contrast, M. formicicum cells aggregate as small lumps which float in the medium under moderate agitation (100 rpm) or settle as non-motile agglomerates (Figure 1C). Phase contrast microscopy indicates that M. formicicum forms a cell colony resembling a sponge-like structure (Figure 1D). Finally, the growth of M. soehngenii appears as non-motile, showing very long and flexible filaments that tend to clump into characteristic bundles and settle at the bottom of the serum bottle (Figure 1E). The phase contrast microscopy picture of M. soehngenii cells shows a rod-like filament morphology (Figure 1F).
Figure 1. Photographs (week 3, top) and phase-contrast photomicrographs (week 7, bottom) of: (A,B) Methanosarcina barkeri, (C,D) Methanobacterium formicicum, and (E,F) Methanothrix soehngenii, grown in the BFS01 medium, bars indicate 10 μm.
3.2. Substrate consumption, COD removal, product formation, and OD600
To monitor the growth of M. barkeri, M. formicicum, and M. soehngenii in the BFS01 medium, substrate consumption, removal, CH4 formation, and OD600 were measured weekly for a period of 7 weeks (49 days). The optical density (OD600) in M. barkeri cultures increased and reached a maximum of 0.43 ± 0.03 at day 21, before it gradually decreased until day 49 (Figure 2A). Compared to M. barkeri, M. formicicum grew slower and progressively with a maximum OD600 of 0.27 ± 0.02 measured at day 49 (Figure 2A). In contrast, M. soehngenii displayed a lag phase of at least 7 days and a slower growth compared to M. formicicum, reaching its maximum OD600 of 0.14 ± 0.02 at day 35, after which it decreased until day 49.
Figure 2. Growth characteristics of Methanosarcina barkeri, Methanobacterium formicicum, and Methanothrix soehngenii in the BFS01 medium: (A) OD600, (B) CH4 concentration in the headspace of the cultures, (C) acetate (blue and black dots) and formate (red dots) consumption, (D) COD removal, error bars indicate CI, n = 3.
The maximum headspace CH4 concentration for M. barkeri was measured at day 14 and remained nearly constant until day 21 (Figure 2B). From day 28 onwards, the CH4 concentration decreased slightly, but remained at an almost constant level until day 49. The acetate concentration during the initial 14 days (Figure 2C) only decreased by ~33% when the maximum CH4 concentration was reached. From day 7 onwards, acetate was consumed significantly each week in M. barkeri cultures as indicated by non-overlapping CI and was almost depleted by day 35 (cday35 = 0.84 ± 0.69 mmol L−1; Figure 2C).
M. formicicum already reached the plateau phase in terms of CH4 production at day 7 (Figure 2B), while the formate concentration in the serum bottles only decreased by ~10% (Figure 2C). Compared to the initial formate concentration in the cultures (i.e., 55.22 ± 1.42 mmol L−1), ~19% and ~67% of the formate was consumed during the second and third week after incubation, respectively. From day 28 onwards, formate was almost completely depleted in the M. formicicum cultures (cday28 = 2.37 ± 0.65 mmol L−1; Figure 2C) and from this stage on, the average CH4 concentration in the headspaces remained nearly constant until day 49 (Figure 2B).
In contrast to M. barkeri and M. formicicum, M. soehngenii reached a stationary phase of CH4 production after roughly 28 days with 49.1 ± 2.5% CH4 in the headspace (Figure 2B). The CH4 concentration increased further, albeit not significantly until day 49 to 56.3% ± 3.9%. It was observed that M. soehngenii gradually consumed acetate, which was nearly exhausted by day 35 (cday35 = 0.87 ± 1.54 mmol L−1; Figure 2C). The trend of acetate consumption in M. soehngenii cultures was nearly inversely proportional to the increase in CH4 concentration (Figure 2B).
The removal reached the plateau phase by ~day 21 and ~ day 28–35, for M. barkeri and M. soehngenii, respectively (Figure 2D). M. formicicum cultures were not analyzed for removal due to mixed provision of H2:CO2 (every 3–4 days) and formate. Furthermore, it is not possible to determine of formate fed cultures using kits, as it decomposes into CO and H2O on contact with sulfuric acid contained therein. However, our results indicate that the CH4 concentration alone is a sufficient indicator to monitor the growth of methanogens in all examined cultures using the BFS01 medium.
3.3. Physiological parameters: Specific growth rate ( ) and doubling time ( )
To estimate and of M. barkeri, M. formicicum, and M. soehngenii grown in the BFS01 medium, calculations based on either OD600 or CH4 concentration in the culture headspaces were performed and compared (for details please see SI: Calculations).
First, and of the three methanogens were estimated using OD600 measured during the growth period. The log-scale of the OD600 of M. barkeri, M. formicicum, and M. soehngenii cultures show that the growth was exponential between days 0 to 14, 0 to 14, and 7 to 14, respectively (Supplementary Figures S2A, S3A, S4A). The specific growth rates were similar for M. barkeri and M. formicicum, whereas the specific growth rate of M. soehngenii was ~2 times higher (Table 4; for more information about the curve fitting, see Supplementary Figures S2B, S3B, S4B).
Table 4. Specific growth rate (μ) and doubling time (td) of Methanosarcina barkeri, Methanobacterium formicicum and Methanothrix soehngenii as functions of OD600 and CH4 concentration in the headspace of the cultures.
Subsequently, and of the three methanogens were estimated using CH4 accumulation in the headspaces. The CH4 concentration in the headspace at log-scale of M. barkeri, M. formicicum, and M. soehngenii cultures show that the growth was exponential between days 0 to 7, 0 to 7, and 7 to 14, respectively (Supplementary Figures S2C, S3C, S4C). The specific growth rates and corresponding doubling times were similar for M. barkeri and M. formicicum, whereas the doubling time of M. soehngenii was 2–3 times higher (Table 4; for more information about the curve fitting, see Supplementary Figures S2D, S3D, S4D).
3.4. Molecular biology
The purity of each methanogen grown in the BFS01 medium was confirmed by 16S rRNA gene-based amplicon sequencing and whole genome nanopore sequencing. The 16S rRNA gene-based amplicon sequencing analysis at the genus level indicated a relative abundance of 98.22% Methanosarcina spp., 99.98% Methanobacterium spp., and 99.97% Methanothrix spp. for M. barkeri, M. formicicum, and M. soehngenii cultures, respectively (data not shown). However, as the amplicon sequencing only covers the V3–V4 region, which does not allow for good differentiation down to the species level, but is limited to the genus or in some cases only the family level, whole genome nanopore sequencing was performed to verify species identity. Sequence assemblies built from the 16S rRNA gene amplicon reads showed high sequence similarity to entries in the 16S rRNA gene database (Table 5). Comparing the draft assemblies with all publicly available high-quality reference genomes for the three methanogens (Supplementary Tables S3–S5) indicates an average nucleotide identity (ANI) of 99.04% for M. barkeri, 96.55% for M. formicicum and 99.97% for M. soehngenii against their best hits in the NCBI reference databases (Table 5). The total length of the M. formicicum draft assembly is only 1.75 Mbp, which is only around 70% of the size of its best hit in the NCBI genbank database (accession: LN515531). This is a result of the very low sequencing depth for this sample, where the average read-mapping coverage is only around 5x, even when data down to Q7 (80% single base accuracy) compared to Q10 (90% single base accuracy) was used for the two other assembly. The M. formicicum draft assembly will also have a higher number of base positions that have not been error-corrected due to the very low sequencing coverage. This is also seen by the alignment percentage only being 83.16% for this assembly compared to 94.59% and 99.47% for the M. barkeri and M. soehngenii draft assemblies showing coverages of 8x and 18x, respectively. Furthermore, the M. formicicum draft assembly will have lower numbers of uncorrected bases both from the higher sequencing depth and the use of Q10 data.
Table 5. Whole genome assembly statistics (number of contigs, N50, GC-content, and average coverage), comparison to reference genomes [accession, average nucleotide identity (ANI), and alignment percentage (AP)], and best hit in the 16S rRNA gene reference database (accession, matching region in the reference sequence).
4. Discussion
4.1. Good growth of the three methanogens in the BFS01 medium but the morphology of Methanobacterium formicicum changed
Culturing methanogens for potential application requires simple, general and user-friendly media. We have shown that M. barkeri, M. formicicum, and M. soehngenii can be efficiently cultivated in the BFS01 medium with low salt concentration and omission of resazurin, yeast extract and casitone. Members of the Methanosarcinaceae are reported to appear as nonmotile, irregular shaped spheroids bodies, occurring as packages of several cells or large aggregates (Jetten et al., 1992). This is in good agreement with the microscope image (Figure 1B), which showed typical irregular-sized cell clumps that are known from M. barkeri cultivation in other media (Zeikus, 1977; Bryant and Boone, 1987a; Jetten et al., 1992). Members of the Methanobacteriaceae are reported to have a rod- or coccoid-like cell shape (Bryant and Boone, 1987b; Dworkin et al., 2006; Demirel and Scherer, 2008). This contrasts with M. formicicum grown in the BFS01 medium, which resembled a sponge-like structure (Figure 1D). A different cell morphology has been reported for the same strain after 20 days of growth in a nearly similar medium to the DSM-120 medium, occurring as crooked rods (Battumur et al., 2016). Members of the Methanosaetaceae/Methanotrichaceae are reported to be rod-shaped non-spore-forming cells, which combine in long filaments, and often form large aggregates in unshaken cultures (Huser et al., 1982; Jetten et al., 1992). This is in agreement with our observations of M. soehngenii grown in the BFS01 medium (Figure 1F), which appeared as rod-like filaments. Therefore, we conclude that the use of a low salt concentration and the omission of chemically complex organic components did not hamper the growth of the three methanogens in the BFS01 medium, however did affect the cell morphology of M. formicicum. To shed light on the observed change in M. formicicum morphology, we advocate a follow-up study varying the salt concentration in the BFS01 medium or successively removing chemically complex organics from the DSM-120 medium.
4.2. Assessment of OD600, substrate consumption, COD removal, and product formation, during growth of Methanosarcina barkeri, Methanobacterium formicicum, and Methanothrix soehngenii in the BFS01 medium
The growth of microorganisms in liquid culture media is commonly monitored by measuring the OD600 which for dispersed cells correlates with the number of cells in the culture (Eppendorf, 2015; Tsuchiya et al., 2018). However, many factors such as size and shape as well as inactive biomass and other precipitates can affect the results of OD600 measurements (Eppendorf, 2015). The measured OD600 during M. barkeri growth peaked at ~day 21 and then decreased until day 49 (Figure 2A). It is known that the more microbial cells are present in the solution, less light reaches the spectrophotometric detector and vice versa. Therefore, we assume that during the initial 21 days of growth, irregular clumps formed in M. barkeri cultures (Figure 1B), increased in size and later led to increased irregular light scattering. Furthermore, we assumed that the methanol in M. barkeri cultures was completely depleted by day 21, as indicated by the stabilization of the pressure in the culture headspace (data not shown). Depletion of the carbon and energy source may have led to an increase in inactive cells in the cultures certainly influencing the OD600 measurement.
In contrast to M. barkeri, M. formicicum, and M. soehngenii seemed to grow slower. To support continuous growth, M. formicicum was routinely supplied with H2:CO2, meaning that its cell numbers were likely to increase constantly until a certain cell density (i.e., stationary phase) was reached. M. soehngenii is reported to be slow-growing, even under optimal conditions (Touzel et al., 1988; Jetten et al., 1992). This could explain why the OD600 of M. formicicum and M. soehngenii gradually increased. However, it is difficult to explain why the OD600 of M. formicicum and M. soehngenii remained lower than that of M. barkeri, e.g., at day 21, as the OD600 measurement can be affected by the typical cell density of the cultures (not measured). M. formicum and M. soehngenii appeared as rods and filaments, respectively (see Figures 1D,F). However, cultures of M. formicicum appeared to be more homogeneous but also denser than those of M. soehngenii. This means that M. formicicum scattered light more than M. soehngenii, which due to its filamentous growth, may have allowed a high but erratic spectrum of light to be transmitted directly to the detector. In general, M. formicum and M. soehngenii, appeared to be less light scattering than M. barkeri, presumably due to their cell shape and agglomeration behavior and therefore, inhomogeneous turbidity of the cultures.
The maximum CH4 concentration for M. barkeri was reached around day 14, while acetate consumption during the initial 14 days only decreased by ~33% (Figures 2B,C), which is likely due to its low affinity for acetate but high affinity for methanol (Bryant and Boone, 1987a; Jetten et al., 1989, 1992). Furthermore, the rapid increase in pressure in the culture headspaces of M. barkeri (data not shown) and the formation of gas bubbles over the initial 14–21 days of cultivation (Figure 1A) are consistent with the stoichiometry of methanogenesis from methanol (see Equation 5 in Table 3; Lackner et al., 2018). This indicates that M. barkeri grown in the BFS01 medium preferentially consumed methanol during its initial growth phase (i.e., the first 14–21 days), and then relied solely on acetate consumption for maintenance.
H2 and formate were consumed throughout growth of M. formicicum when both were present in the culture media. Formate was almost completely depleted by ~day 28 (Figure 2C) and from that point onwards, we assume that CH4 production relied primarily on CO2 and H2 consumption (see Figure 2B). The insignificant variation of CH4 concentration in the headspaces of M. formicicum cultures after depletion of formate is consistent with previous work reporting slightly slower growth of M. formicicum using formate than when using H2:CO2 (Neil and James, 1980; Neil et al., 1982). This is best explained by the respective stoichiometry of anaerobic H2 oxidation (Equation 3 in Table 3) and formate oxidation (Equation 4 in Table 3) showing that, four mol of H2 and four mol of formate each are oxidized to one mol of CH4. Since the maximum energy available when oxidizing H2 ( = −135.6 kJ mol−1) and the energy available when oxidizing formate ( = −130.1 kJ mol−1) are nearly equal, we conclude that after total depletion of formate in M. formicicum cultures, the CH4 concentration in the headspaces should not be significantly affected due to the non-stoichiometric provision of H2 and CO2. CH4 concentration in the headspaces of M. formicicum cultures remained <40% vs. CO2 concentration > 60% (see Supplementary Figure S1B). M. formicicum cultures were routinely flushed (every 3–4 days) with a H2:CO2 (50:50, v/v). Based on the stoichiometry of hydrogenotrophic methanogenesis, only 25% of the CO2 overpressurized in the culture headspaces was used for CH4 formation. The remaining CO2 as well as the CO2 derived from formate oxidation, i.e., 3 mol of CO2 (see Equation 4 in Table 3) was accumulated in the headspace. This explains why CH4 concentration in the headspaces did not reach 100% throughout growth of M. formicicum, even after the formate was almost completely depleted.
M. soehngenii grown in the BFS01 medium gradually consumed acetate to produce CH4, as similarly observed for other growth media (Huser et al., 1982; Jetten et al., 1989, 1992; Figures 2B,C). CH4 concentration in the headspace of M. soehngenii cultures (e.g., at day 49) showed a value of 56.3% ± 3.9% which is in good agreement with the stoichiometry of acetoclastic methanogenesis (see Equation 2 in Table 3). M. soehngenii cultures were not vented during the growth period. This explains why the cumulative shares of carbon equivalents of CH4 and CO2 in the headspace of M. soehngenii cultures (see Supplementary Figure S1C) were less than 100%, primarily due to the addition of N2:CO2 (50:50, v/v) to the serum bottles after inoculation.
removal in M. barkeri cultures was faster than in M. soehngenii cultures (Figure 2D). Unlike M. barkeri, M. soehngenii is reported as slow-growing (Touzel et al., 1988; Jetten et al., 1992), hence the lower Δ . removals <100%, as observed even when no more substrate (i.e., acetate or methanol) was available in M. barkeri and M. soehngenii cultures, can be related to microbial biomass formation.
4.3. Methane accumulation is better used to estimate the specific growth rate ( ) and doubling time ( ) of methanogens
Members of the Methanosarcinaceae (e.g., M. barkeri) and Methanobacteriaceae (e.g., M. formicicum) are known to have a rapid and short in contrast to members of the Methanosaetaceae (e.g., M. soehngenii), which are slow-growing and double their cell number after several days (Neil and James, 1980; Neil et al., 1982; Touzel et al., 1988; Jetten et al., 1992). Calculations based on OD600 indicated a higher and lower of M. soehngenii compared to M. barkeri and M. formicicum, which is somehow counterintuitive. From the obtained results, we conclude that OD600 cannot be used effectively to measure the growth of the methanogens, especially when they form aggregates as M. barkeri or filaments as M. soehngenii, which is consistent with existing reports (Dworkin et al., 2006).
As an alternative to OD600, we estimated and of the three methanogens using CH4 accumulation in the culture headspaces. The of M. barkeri and M. formicicum were nearly identical during their logarithmic phases, and were ~2.57, respectively, ~2.43 fold higher than that of M. soehngenii (Table 4). Similar, based on CH4 concentration in the headspace indicated that M. barkeri and M. formicicum cells doubled approximately every 1.29 days and 1.37 days, respectively, while M. soehngenii cells doubled approximately every 3.4 days. These results are consistent with literature indicating a fast growth of M. barkeri and M. formicicum unlike M. soehngenii (Touzel et al., 1988).
Although our calculations were only approximate as CH4 concentration in the headspace of the cultures was only measured once a week and daily or hourly measurements would be required for an accurate estimation of , the results for M. barkeri and M. soehngenii appeared to be consistent with literature values (Neil and James, 1980; Jetten et al., 1992). In contrast, M. formicicum appeared to grow slower compared to the literature (Neil and James, 1980), which, as mentioned earlier, could be due to the low salt concentration and/or the omission of resazurin, yeast extract and casitone in the BFS01 medium.
Based on our results we conclude, that and of M. barkeri and M. soehngenii in the BFS01 medium can be estimated by measuring CH4 accumulation in the headspace instead of OD600. However, and of M. formicicum differed from literature data but still allow sufficient growth monitoring.
Data availability statement
The raw sequencing reads have been released and can be found here: https://www.ebi.ac.uk/ena/browser/view/PRJEB53211. Sequence data from MiSeq amplicon sequencing and Nanopore sequencing have been added as Supplementary data files (FASTA files).
Author contributions
DD, JK, and FH: conceptualization. DD: investigation, visualization, and writing—original draft preparation. DD, SS, TH, IA, and AW: molecular biology analysis. DD, JK, FH, TH: formal analysis. DD, JK, FH, and AW: funding acquisition. JK, FH, and AW: supervision. DD, JK, FH, SS, TH, IA, and AW: writing—review and editing. All authors contributed to the article and approved the submitted version.
Funding
DD gratefully acknowledges funding by the PhD student program of the DAAD (German academic exchange service, 57381412) and the transnational access of the BRISK2 project, which has received funding from the European Union’s Horizon 2020’s research and innovation programme under grant agreement number 731101. This work was supported by the Helmholtz-Association within the Research Programme Renewable Energies.
Acknowledgments
DD especially thank Tone Haugen, Anne Kuchenbuch, and Bruna Grosch Schroeder for technical assistance during laboratory work and fruitful discussions.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2022.1046260/full#supplementary-material
Abbreviations
AD, Anaerobic digestion; ANI, Average nucleotide identity; AP, Alignment percentage; CI, Confidence interval; COD, Chemical oxygen demand; DIET, Direct interspecies electron transfer; EAB, Electroactive bacteria; GC, Gas chromatograph; GC, Content, guanine-cytosine content; HPLC, High performance liquid chromatography; MET, Microbial electrochemical technologies; MIET, Mediated interspecies electron transfer; N50, Shortest contig length to be included for covering 50% of the genome; OD, Optical density; µ, specific growth rate; td, doubling time; n, number of replicates.
References
Balch, W. E., Fox, G. E., Magrum, J. L., Woese, R. C., and Wolfe, R. S. (1979). Methanogens: reevaluation of a unique biological group. Microbiol. Rev. 43, 260–296. doi: 10.1128/mr.43.2.260-296.1979
Bar-Even, A., Noor, E., and Milo, R. (2012). A survey of carbon fixation pathways through a quantitative lens. J. Exp. Bot. 63, 2325–2342. doi: 10.1093/jxb/err417
Battumur, U., Yoon, Y.-M., and Kim, C.-H. (2016). Isolation and characterization of a new Methanobacterium formicicum KOR-1 from an anaerobic digester using pig slurry. Asian Australas. J. Anim. Sci. 29, 586–593. doi: 10.5713/ajas.15.0507
Bernstein, D. B., Sulheim, S., Almaas, E., and Segrè, D. (2021). Addressing uncertainty in genome-scale metabolic model reconstruction and analysis. Genome Biol. 22, 64–22. doi: 10.1186/s13059-021-02289-z
Bryant, M. P., and Boone, D. R. (1987a). Emended description of strain MST (DSM 800T), the type strain of Methanosarcina barkeri. Int. J. Syst. Bacteriol. 37, 169–170. doi: 10.1099/00207713-37-2-169
Bryant, M. P., and Boone, D. R. (1987b). Isolation and characterization of Methanobacterium forrnicicum MF. Int. J. Syst. Bacteriol. 37:171. doi: 10.0000/PMID13549377
Buan, N. R. (2018). Methanogens: pushing the boundaries of biology. Emerg. Top. Life Sci. 2, 629–646. doi: 10.1042/ETLS20180031
Camacho, C. E. G., and Ruggeri, B. (2018). Syntrophic microorganisms interactions in anaerobic digestion (ad): a critical review in the light of increase energy production. Chem. Eng. Trans. 64, 391–396. doi: 10.3303/CET1864066
Cumming, G., Fidler, F., and Vaux, D. L. (2007). Error bars in experimental biology. J. Cell Biol. 177, 7–11. doi: 10.1083/jcb.200611141
Coster, W.De, D'Hert, S., Schultz, D. T., Cruts, M., and van Broeckhoven, C. (2018). NanoPack: visualizing and processing long-read sequencing data. Bioinformatics 34:2666–2669. doi:doi: 10.1093/bioinformatics/bty149
Demirel, B., and Scherer, P. (2008). The roles of acetotrophic and hydrogenotrophic methanogens during anaerobic conversion of biomass to methane: a review. Rev. Environ. Sci. Biotechnol. 7, 173–190. doi: 10.1007/s11157-008-9131-1
Deutzmann, J. S., and Spormann, A. M. (2017). Enhanced microbial electrosynthesis by using defined co-cultures. ISME J. 11, 704–714. doi: 10.1038/ismej.2016.149
Dworkin, M., Falkow, S., Rosenberg, E., Schleifer, K.-H., and Stackebrandt, E. (2006). The prokaryotes: Archaea. Bacteria: Firmicutes, Actinomycetes. 3rd Edn Springer.
Enzmann, F., Mayer, F., Rother, M., and Holtmann, D. (2018). Methanogens: biochemical background and biotechnological applications. AMB Exp. 8, 1–22. doi: 10.1186/s13568-017-0531-x
Goyal, N., Zhou, Z., and Karimi, I. A. (2016). Metabolic processes of Methanococcus maripaludis and potential applications. Microb. Cell Fact. 15, 107–119. doi: 10.1186/s12934-016-0500-0
Gurevich, A., Saveliev, V., Vyahhi, N., and Tesler, G. (2013). QUAST: quality assessment tool for genome assemblies. Bioinformatics 29, 1072–1075. doi: 10.1093/bioinformatics/btt086
Herlemann, D. P., Labrenz, M., Jürgens, K., Bertilsson, S., Waniek, J. J., and Andersson, A. F. (2011). Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea. ISME J. 5, 1571–1579. doi: 10.1038/ismej.2011.41
Hill, A., Tait, S., Baillie, C., Virdis, B., and McCabe, B. (2020). Microbial electrochemical sensors for volatile fatty acid measurement in high strength wastewaters: a review. Biosens. Bioelectron. 165:112409. doi: 10.1016/j.bios.2020.112409
Huser, B. A., Wuhrmann, K., and Zehnder, A. J. B. (1982). Methanothrix soehngenii gen. Nov. sp. nov., a new Acetotrophic non-hydrogen-oxidizing methane Bacteriumbacterium. Arch. Microbiol. 132, 1–9. doi: 10.1007/BF00690808
Jetten, M. S. M., Stams, A. J. M., and Zehnder, A. J. B. (1989). Isolation and characterization of acetyl-coenzyme a Synthetase from Methanothrix soehngenii. J. Bacteriol. 171, 5430–5435. doi: 10.1128/jb.171.10.5430-5435.1989
Jetten, M. S. M., Stams, A. J. M., and Zehnder, A. J. B. (1992). Methanogenesis from acetate: a comparison of the acetate metabolism in Methanothrix soehngenii and Methanosarcina spp. FEMS Microbiol. Rev. 88, 181–198. doi: 10.1007/0-387-30743-5_9
Kirchman, L. D. (2002). Calculating microbial growth rates from data on production and standing stocks. Mar. Ecol. Prog. Ser. 233, 303–306. doi: 10.3354/meps233303
Klindworth, A., Pruesse, E., Schweer, T., Peplies, J., Quast, C., Horn, M., et al. (2013). Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 41, e1–e11. doi: 10.1093/nar/gks808
Kolmogorov, M., Yuan, J., Lin, Y., and Pevzner, P. A. (2019). Assembly of long, error-prone reads using repeat graphs. Nat. Biotechnol. 37, 540–546. doi: 10.1038/s41587-019-0072-8
Kouzuma, A., Kato, S., and Watanabe, K. (2015). Microbial interspecies interactions: recent findings in syntrophic consortia. Front. Microbiol. 6, 1–8. doi: 10.3389/fmicb.2015.00477
Kouzuma, A., Tsutsumi, M., Si, I., Ueno, Y., Abe, T., and Watanabe, K. (2017). Non-autotrophic methanogens dominate in anaerobic digesters. Sci. Rep. 7, 1510–1513. doi: 10.1038/s41598-017-01752-x
Kracke, F., Deutzmann, J. S., Gu, W., and Spormann, A. M. (2020). In situ electrochemical H 2 production for efficient and stable power-to-gas electromethanogenesis. Green Chem. 22, 6194–6203. doi: 10.1039/D0GC01894E
Kretzschmar, J., Böhme, P., Liebetrau, J., Mertig, M., and Harnisch, F. (2018). Microbial electrochemical sensors for anaerobic digestion process control - performance of Electroactive biofilms under real conditions. Chem. Eng. Technol. 41, 687–695. doi: 10.1002/ceat.201700539
Lackner, N., Hintersonnleitner, A., Wagner, A. O., and Illmer, P. (2018). Hydrogenotrophic Methanogenesis and autotrophic growth of Methanosarcina thermophila. Archaea 2018, 1–7. doi: 10.1155/2018/4712608
Lefebvre, O., Tan, Z., Kharkwal, S., and Ng, H. Y. (2012). Effect of increasing anodic NaCl concentration on microbial fuel cell performance. Bioresour. Technol. 112, 336–340. doi: 10.1016/j.biortech.2012.02.048
Lian, J., Tian, X., Guo, J., Guo, Y., Song, Y., Yue, L., et al. (2016). Effects of resazurin on perchlorate reduction and bioelectricity generation in microbial fuel cells and its catalysing mechanism. Biochem. Eng. J. 114, 164–172. doi: 10.1016/j.bej.2016.06.028
Liu, G., Yu, S., Luo, H., Zhang, R., Fu, S., and Luo, X. (2014). Effects of salinity anions on the anode performance in bioelectrochemical systems. Desalination 351, 77–81. doi: 10.1016/j.desal.2014.07.026
Logroño, W., Popp, D., Kleinsteuber, S., Sträuber, H., Harms, H., and Nikolausz, M. (2020). Microbial resource Management for ex Situ Biomethanation of hydrogen at alkaline pH. Microorganisms 8, 1–18. doi: 10.3390/microorganisms8040614
Long, F., Wang, L., Lupa, B., and Whitman, W. B. (2017). A flexible system for cultivation of Methanococcus and other Formate-utilizing methanogens. Archaea 2017, 1–12. doi: 10.1155/2017/7046026
Mayer, F., Enzmann, F., Lopez, A. M., and Holtmann, D. (2019). Performance of different methanogenic species for the microbial electrosynthesis of methane from carbon dioxide. Bioresour. Technol. 289, 121706–121710. doi: 10.1016/j.biortech.2019.121706
Neil, L. S., David, P. B., and James, G. F. (1982). Kinetics of Formate metabolism in Methanobacterium formicicum and Methanospirillum hungatei. Appl. Environ. Microbiol. 44, 549–554. doi: 10.1128/aem.44.3.549-554.1982
Neil, L. S., and James, G. F. (1980). Metabolism of Formate in Methanobacterium formicicum. J. Bacteriol. 142, 800–807. doi: 10.1128/jb.142.3.800-807.1980
Nwaigwe, K. N., and Enweremadu, C. C. (2015). Analysis of chemical oxygen demand (COD) removal rate using Upflow bioreactor with central substrate dispenser (UBCSD). 4th Int’l Conference on Advances in Engineering Sciences & Applied Mathematics (ICAESAM’2015) (Kuala Lumpu: Malaysia), 61–64. doi: 10.15242/IIE.E1215045
Park, D. H., Laivenieks, M., Guettler, V. M., Jain, K. M., and Zeikus, J. G. (1999). Microbial utilization of electrically reduced neutral red as the sole electron donor for growth and metabolite production. Appl. Environ. Microbiol. 65, 2912–2917. doi: 10.1128/AEM.65.7.2912-2917.1999
Patel, V., Pandit, S., and Chandrasekhar, K. (2017). Basics of Methanogenesis in anaerobic digester. Microb. Appl. 2, 291–314. doi: 10.1007/978-3-319-52669-0_16
Powell, G. E. (1983). Interpreting gas kinetics of batch cultures. Biotechnol. Lett. 5, 437–440. doi: 10.1007/BF00132224
Rotaru, A.-E., Shrestha, P. M., Liu, F., Markovaite, B., Chen, S., Nevin, K. P., et al. (2014b). Direct interspecies electron transfer between Geobacter metallireducens and Methanosarcina barkeri. Appl. Environ. Microbiol. 80, 4599–4605. doi: 10.1128/AEM.00895-14
Rotaru, A.-E., Shrestha, P. M., Liu, F., Shrestha, M., Shrestha, D., Embree, M., et al. (2014a). A new model for electron flow during anaerobic digestion: direct interspecies electron transfer to Methanosaeta for the reduction of carbon dioxide to methane. Energ. Environ. Sci. 7, 408–415. doi: 10.1039/C3EE42189A
Sayed, E. T., Barakat, N. A. M., Abdelkareem, M. A., Fouad, H., and Nakagawa, N. (2015). Yeast extract as an effective and safe mediator for the Baker’s-yeast-based microbial fuel cell. Ind. Eng. Chem. Res. 54, 3116–3122. doi: 10.1021/ie5042325
Stams, A. J. M., Dijk, J. B. V., Dijkema, C., and Plugge, C. M. (1993). Growth of Syntrophic propionate-oxidizing bacteria with Fumarate in the absence of Methanogenic bacteria. Appl. Environ. Microbiol. 59, 1114–1119. doi: 10.1128/aem.59.4.1114-1119.1993
Sun, D., Wang, A., Cheng, S., Yates, M., and Logan, B. E. (2014). Geobacter anodireducens sp. nov., an exoelectrogenic microbe in bioelectrochemical systems. Int. J. Syst. Evol 64, 3485–3491. doi: 10.1099/ijs.0.061598-0
Touzel, J. P., Prenzier, G., Roustan, J. L., Thomas, I., Dubourguier, C., and Albagnac, G. (1988). Description of a new strain of Methanothrix soehngenii and rejection of Methanothrix concilii as a synonym of Methanothrix soehngenii. Int. J. Syst. Bacteriol. 38, 30–36. doi: 10.1099/00207713-38-1-30
Tsuchiya, K., Cao, Y.-Y., Kurokawa, M., Ashino, K., Yomo, T., and Ying, B.-W. (2018). A decay effect of the growth rate associated with genome reduction in Escherichia coli. BMC Microbiol. 18, 101–110. doi: 10.1186/s12866-018-1242-4
Vrieze, J.De, Arends, J. B. A., Verbeeck, K., Gildemyn, S., and Rabaey, K. (2018). Interfacing anaerobic digestion with (bio)electrochemical systems: potentials and challenges. Water Res. 146:244–255. doi:doi: 10.1016/j.watres.2018.08.045
Yang, G., Chen, S., Zhou, S., and Liu, Y. (2015). Genome sequence of a dissimilatory Fe(III)-reducing bacterium Geobacter soli type strain GSS01(T). Stand Genomic Sci. 10:118. doi: 10.1186/s40793-015-0117-7
Yee, M. O., and Rotaru, A.-E. (2020). Extracellular electron uptake in Methanosarcinales is independent of multiheme c-type cytochromes. Sci. Rep. Nat. Res. 10, 372–312. doi: 10.1038/s41598-019-57206-z
Yin, Q., Gu, M., Hermanowicz, S. W., Hu, H., and Wu, G. (2020). Potential interactions between syntrophic bacteria and methanogens via type IV pili and quorum-sensing systems. Environ. Int. 138, 105650–105611. doi: 10.1016/j.envint.2020.105650
Keywords: methanogenic archaea, medium adaptation, microbial electrochemical technology, bioelectrochemical systems, doubling time, specific growth rate
Citation: Dzofou Ngoumelah D, Harnisch F, Sulheim S, Heggeset TMB, Aune IH, Wentzel A and Kretzschmar J (2023) A unified and simple medium for growing model methanogens. Front. Microbiol. 13:1046260. doi: 10.3389/fmicb.2022.1046260
Edited by:
Oskar Modin, Chalmers University of Technology, SwedenReviewed by:
Dan Zheng, Chalmers University of Technology, SwedenYifeng Zhang, Technical University of Denmark, Denmark
Copyright © 2023 Dzofou Ngoumelah, Harnisch, Sulheim, Heggeset, Aune, Wentzel and Kretzschmar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Falk Harnisch, ✉ ZmFsay5oYXJuaXNjaEB1ZnouZGU=; Jörg Kretzschmar, ✉ Sm9lcmcuS3JldHpzY2htYXJAZGJmei5kZQ==