Methanobacterium formicicum BRM9

From Global Methane Hub Wikipedia

Introduction

Phase-contrast (top) and epifluorescence (bottom) microscopy of Methanobacterium formicicum BRM9. Source: Christian Heryakusuma.

Methanobacterium formicicum BRM9 is isolated from the rumen enrichment of non-lactating, rumen-fistulated, 6-year-old New Zealand Friesian cows grazing ryegrass/clover pastures[1]. Although Methanobacterium species are relatively low in abundance in the rumen environment[2], they have been found as endosymbionts of anaerobic amoebae and ciliate protozoa[3]. This uniqueness makes M. formicicum BRM9 a methanogen of interest for GMH, as understanding these methanogenic endosymbiont interactions might open a venue for novel strategies in livestock methane mitigation.

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

Circos plot of Methanobacterium formicicum BRM9. Source: Christian Heryakusuma
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 the manufacturer's protocols for gram-positive bacteria and archaea, except that lysozyme was replaced with the phage ΨM2 pseudomurein endoisopeptidase of Methanothermobacter marburgensis (PeiP)[4].

The extracted gDNA was sequenced with Oxford Nanopore, then assembled with Flye[5] and polished with medaka (https://github.com/nanoporetech/medaka). The assembled genome was evaluated for completeness and contamination using QUAST[6] and CheckM2[7]. Bakta v1.12.0[8] 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[9]. 4mC and 5mC motifs were not present in this isolate.

DefenseFinder Results

Type Subtype Components
CBASS CBASS Type II with a Cap4 effector Cap2 - E1 (ThiF/adenylyltransferase) module,
CD-NTase / cyclase (Type II allele),
Cap3 - JAB/JAMM isopeptidase,
Cap4 - SAVED and HNH effector
CRISPR-Cas CAS Class1 Subtype IB cas1_I_II_III_IV_V_VI_7,
cas2_I_II_III_IV_V_VI_5,
cas3_I_5,
cas4_I_II_III_IV_V_VI_6,
cas5_I-B_17,
cas6_I_II_III_IV_V_VI_10,
cas7b_I-B_I-C_2,
cas8b1_I-B_5
Prometheus Prometheus ProA
RM Type I N6-adenine methylation (m6A) Type I RM methyltransferase (HsdM),
Type I RM restriction endonuclease (HsdR),
Type I RM specificity subunit (HsdS)
Avs Avs family 2 Avs2
CRISPR-Cas CAS Class1 Subtype IB DnaQ/DEDDh exonuclease,
cas1_I_II_III_IV_V_VI_7,
cas2_I_II_III_IV_V_VI_5,
cas3_I_2,
cas4_I_II_III_IV_V_VI_6,
cas5_I-B_6,
cas6_I_II_III_IV_V_VI_10,
cas7_I-B_6,
cas8b1_I-B_13

Abbreviation: CBASS, cyclic-oligonucleotide-based antiphage signalling system[10]; CRISPR-Cas, Clustered Regularly Interspaced Short Palindromic Repeats-CRISPR associated enzymes; Prometheus, DNA replication helicase/nuclease 2 (DNA2)-containing anti-phage defense protein[11]; RM, restriction-modification; Avs, antiviral STAND (Signal Transduction ATPases with Numerous Domains)[12].

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

Antimicrobial susceptibility tests on M. formicicum BRM9. Source: Christian Heryakusuma.
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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  1. ↑ Jarvis, G., Strömpl, C., Burgess, D. et al. Isolation and Identification of Ruminal Methanogens from Grazing Cattle. Curr Microbiol 40, 327–332 (2000). https://doi.org/10.1007/s002849910065.
  2. ↑ Janssen PH, Kirs M. Structure of the archaeal community of the rumen. Appl Environ Microbiol. 2008 Jun;74(12):3619-25. https://doi.org/10.1128/AEM.02812-07. Epub 2008 Apr 18. PMID: 18424540; PMCID: PMC2446570.
  3. ↑ Kelly WJ, Leahy SC, Li D, Perry R, Lambie SC, Attwood GT, Altermann E. The complete genome sequence of the rumen methanogen Methanobacterium formicicum BRM9. Stand Genomic Sci. 2014 Dec 8;9:15. https://doi.org/10.1186/1944-3277-9-15. PMID: 25780506; PMCID: PMC4335013.
  4. ↑ Luo Y, Pfister P, Leisinger T, Wasserfallen A. Pseudomurein endoisopeptidases PeiW and PeiP, two moderately related members of a novel family of proteases produced in Methanothermobacter strains. FEMS Microbiol Lett. 2002 Feb 19;208(1):47-51. https://doi.org/10.1111/j.1574-6968.2002.tb11059.x.
  5. ↑ 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.
  6. ↑ 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.
  7. ↑ 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.
  8. ↑ 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.
  9. ↑ 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.
  10. ↑ Cohen, D., Melamed, S., Millman, A. et al. Cyclic GMP–AMP signalling protects bacteria against viral infection. Nature 574, 691–695 (2019). https://doi.org/10.1038/s41586-019-1605-5.
  11. ↑ van den Berg DF, Costa AR, Esser JQ, Stanciu I, Geissler JQ, Zoumaro-Djayoon AD, Haas PJ, Brouns SJJ. Bacterial homologs of innate eukaryotic antiviral defenses with anti-phage activity highlight shared evolutionary roots of viral defenses. Cell Host Microbe. 2024 Aug 14;32(8):1427-1443.e8. https://doi.org/10.1016/j.chom.2024.07.007.
  12. ↑ Gao LA, Wilkinson ME, Strecker J, Makarova KS, Macrae RK, Koonin EV, Zhang F. Prokaryotic innate immunity through pattern recognition of conserved viral proteins. Science. 2022 Aug 12;377(6607):eabm4096. https://doi.org/10.1126/science.abm4096.