Methanobacterium formicicum BRM9: Difference between revisions

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Genomic DNA (gDNA) of ''M. formicicum'' BRM9 was extracted using NEB Monarch<sup>®</sup> 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).  
Genomic DNA (gDNA) of ''M. formicicum'' BRM9 was extracted using NEB Monarch<sup>®</sup> 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)<ref>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. </ref>.  


The extracted gDNA was sequenced with Oxford Nanopore, then assembled with Flye<ref>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.</ref> and polished with medaka (https://github.com/nanoporetech/medaka). The assembled genome was evaluated for completeness and contamination using QUAST<ref>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.</ref> and CheckM2<ref>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.</ref>. Bakta v1.12.0<ref>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.</ref> 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.
The extracted gDNA was sequenced with Oxford Nanopore, then assembled with Flye<ref>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.</ref> and polished with medaka (https://github.com/nanoporetech/medaka). The assembled genome was evaluated for completeness and contamination using QUAST<ref>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.</ref> and CheckM2<ref>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.</ref>. Bakta v1.12.0<ref>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.</ref> 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.

Revision as of 00:21, 3 November 2026

Introduction

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].

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)[2].

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

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. ↑ 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.
  3. ↑ 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.
  4. ↑ 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.
  5. ↑ 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.
  6. ↑ 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.
  7. ↑ 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.