Methanobacterium formicicum BRM9: Difference between revisions
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|Sodium sulfite | |Sodium sulfite | ||
|0. | |0.1 mM | ||
|0. | |0.1 mM | ||
|style="text-align: center;" | ~240 h | |style="text-align: center;" | ~240 h | ||
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|Mevinolin | |Mevinolin | ||
|''Insensitive'' | |style="color: red;"|''Insensitive'' | ||
|''Insensitive'' | |style="color: red;"|''Insensitive'' | ||
|style="text-align: center;" | ~240 h | |style="text-align: center;" | ~240 h | ||
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|5-fluorouracil (5-FU) | |5-fluorouracil (5-FU) | ||
|''Insensitive'' | |style="color: red;"|''Insensitive'' | ||
|''Insensitive'' | |style="color: red;"|''Insensitive'' | ||
|style="text-align: center;" | ~240 h | |style="text-align: center;" | ~240 h | ||
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Susceptibility testing was evaluated in GMH-VT2 medium inoculated with a 4% ''M. formicicum'' BRM9 culture that has a starting OD<sub>600</sub> of ~0.4. ''M. formicicum'' BRM9 was considered sensitive to the selection or counterselection agents if there was no increase in the OD<sub>600</sub> during the ~240 h (10 days) observation period. | Susceptibility testing was evaluated in GMH-VT2 medium inoculated with a 4% ''M. formicicum'' BRM9 culture that has a starting OD<sub>600</sub> of ~0.4. ''M. formicicum'' BRM9 was considered sensitive to the selection or counterselection agents if there was no increase in the OD<sub>600</sub> during the ~240 h (10 days) observation period. | ||
Revision as of 22:01, 28 October 2026
Introduction
Methanocatella gottschalkii HOT (formerly Methanobrevibacter gottschalkii) is a type strain isolated from the enrichment of horse faeces[1]. M. gottschalkii, along with Methanobrevibacter ruminantium, comprises about 74% of total archaeal OTUs from rumen samples collected across a wide range of geographical regions, hosts, and diets[2]. This universality makes them methanogens of particular interest to the Global Methane Hub, as it enables strategies to mitigate methane emissions by targeting these dominant methanogens.
Global Methane Hub Metadata
| Origin: | BSI, New Zealand |
|---|---|
| Sequenced by: | Plasmidsaurus, ONT sequencing |
| Assembled by: | Christian Heryakusuma |
| Methylome called by: | William G. Alexander |
| Methyltransferases cloned by: | Guss Lab, ORNL |
| MIC and Culturing Conditions by: | Christian Heryakusuma |
| Transformation by: |
Abbreviation: BSI, Bioeconomy Science Institute; ONT, Oxford Nanopore Technologies; ORNL, Oak Ridge National Laboratory.
Genome
| Assembly Summary | |
|---|---|
| Completeness | 99.94% |
| Contamination | 0.35% |
| Total contigs | 1 |
| Max contig length | 2,456,253 bp |
| GC content | 41.3% |
| Annotation Summary | |||
|---|---|---|---|
| Coding density | 84.8% | CDSs | 2397 |
| tRNAs | 44 | Pseudogenes | 0 |
| tmRNAs | 0 | Hypotheticals | 2061 |
| rRNAs | 7 | sORFs | 0 |
| ncRNAs | 1 | Gaps | 0 |
| ncRNAs regions | 2 | oriCs | 0 |
| CRISPR arrays | 3 | oriVs | 0 |
| oriTs | 0 | ||
Genomic DNA (gDNA) of M. formicicum BRM9 was extracted using NEB Monarch® Spin gDNA Extraction Kit following manufacturer protocols for gram-positive bacteria and archaea, except that lysozyme was replaced with phage pseudomurein endoisopeptidase of Methanocatella smithii PS (PeiS); an Escherichia coli strain encoding the PeiS gene was kindly provided by Prof. Metcalf (University of Illinois Urbana-Champaign).
The extracted gDNA was sequenced with Oxford Nanopore, then assembled with Flye[3] and polished with medaka (https://github.com/nanoporetech/medaka). The assembled genome was evaluated for completeness and contamination using QUAST[4] and CheckM2[5]. Bakta v1.12.0[6] with database v6.0 full (https://github.com/oschwengers/bakta) was used for genome annotation. All these bioinformatics analyses were performed at the Virginia Tech Advanced Research Computing (VT-ARC) facility.
Methylome
Methylation pattern
| #motif | methylCounts | totalCounts | %motifsMethyl |
|---|---|---|---|
| G(6mA)TC | 16042 | 17258 | 92.95 |
| GC(6mA)NNNNNNCTC | 465 | 489 | 95.09 |
| G(6mA)GNNNNNNTGC | 477 | 489 | 97.55 |
Methylation motifs were analyzed using MIJAMP[7]. 4mC and 5mC motifs were not present in this isolate.
DefenseFinder Results
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Methylating E. coli
E. coli strain AG16322 developed by ORNL was used as a host to generate plasmids with M. formicicum BRM9 methylation motifs shown above.
Culturing Conditions
M. formicicum BRM9 is cultivated in GMH-VT2 medium at 37°C and 50 rpm with a 30 psig gas mixture of H2:CO2 (80:20, v/v) as an energy substrate. Growth is typically observed within 72 to 96 h. This methanogen can also be cultivated on GMH-VT2 plates using 1.5% gelrite or 2% agar as a gelling agent with a 12 to 30 psig H2:CO2 (80:20, v/v) gas mixture as an energy substrate. Visible growth on plate is usually observable within 5 to 7 days.
Antimicrobial MIC Tests
| Antibiotics | Concentration | Observation Period | |
|---|---|---|---|
| Liquid | Solid | ||
| Sodium sulfite | 0.1 mM | 0.1 mM | ~240 h |
| Mevinolin | Insensitive | Insensitive | ~240 h |
| 5-fluoroorotic acid (5-FOA) | Insensitive | Insensitive | ~240 h |
| 8-azahypoxanthine (8-AH) | Insensitive | Insensitive | ~240 h |
| 6-mercaptopurine (6-MP) | Insensitive | Insensitive | ~240 h |
| 5-fluorouracil (5-FU) | Insensitive | Insensitive | ~240 h |
| Sodium 2-bromoethanesulfonate (BES) | 2 mM | 1 mM | ~240 h |
Susceptibility testing was evaluated in GMH-VT2 medium inoculated with a 4% M. formicicum BRM9 culture that has a starting OD600 of ~0.4. M. formicicum BRM9 was considered sensitive to the selection or counterselection agents if there was no increase in the OD600 during the ~240 h (10 days) observation period.
Protocols
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Transformation Results
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External Links
- ↑ Miller, T. L. (2002). "Description of Methanobrevibacter gottschalkii sp. nov., Methanobrevibacter thaueri sp. nov., Methanobrevibacter woesei sp. nov. and Methanobrevibacter wolinii sp. nov". International Journal of Systematic and Evolutionary Microbiology. 52 (3): 819–822. https://doi.org/10.1099/00207713-52-3-819.
- ↑ Henderson, G., Cox, F., Ganesh, S. et al. Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range. Sci Rep 5, 14567 (2015). https://doi.org/10.1038/srep14567.
- ↑ Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol. 2019 May;37(5):540-546. https://doi.org/10.1038/s41587-019-0072-8. Epub 2019 Apr 1. PMID: 30936562.
- ↑ Gurevich A, Saveliev V, Vyahhi N, Tesler G. QUAST: quality assessment tool for genome assemblies. Bioinformatics. 2013 Apr 15;29(8):1072-5. https://doi.org/10.1093/bioinformatics/btt086. Epub 2013 Feb 19. PMID: 23422339; PMCID: PMC3624806.
- ↑ Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015 Jul;25(7):1043-55. https://doi.org/10.1101/gr.186072.114. Epub 2015 May 14. PMID: 25977477; PMCID: PMC4484387.
- ↑ Schwengers O, Jelonek L, Dieckmann MA, Beyvers S, Blom J, Goesmann A. Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification. Microb Genom. 2021 Nov;7(11):000685. https://doi.org/10.1099/mgen.0.000685. PMID: 34739369; PMCID: PMC8743544.
- ↑ Alyssa K Tidwell, Evelyn Faust, Carrie A Eckert, Adam M Guss, William G Alexander, Discovering methylated DNA motifs in bacterial nanopore sequencing data with MIJAMP, Journal of Industrial Microbiology and Biotechnology, Volume 52, 2025, kuaf022, https://doi.org/10.1093/jimb/kuaf022.
