Methanocatella gottschalkii HO

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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: Leibniz Institute DSMZ, Germany
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: ONT, Oxford Nanopore Technologies; ORNL, Oak Ridge National Laboratory.


Genome

Assembly Summary
Completeness 99.97%
Contamination 0.16%
Total contigs 1
Max contig length 1,887,794 bp
GC content 30.07%
Annotation Summary
Coding density 88.1%
tRNAs 33
tmRNAs 0
rRNAs 7
ncRNAs 1
ncRNAs regions 1
CRISPR arrays 0
CDSs 1847
Pseudogenes 2
Hypotheticals 1585
sORFs 0
Gaps 0
oriCs 0
oriVs 0
oriTs 0

Genomic DNA (gDNA) of M. gottschalkii HO (collection number: DSM 11977, OCM 817) 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
C(6mA)YNNNNNRTTG 1495 1558 95.96
CA(6mA)YNNNNNRTG 1522 1558 97.69

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 AG21365 developed by ORNL was used as a host to generate plasmids with M. gottschalkii HO methylation motifs shown above.

Culturing Conditions

M. gottschalkii HO 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 24 to 48 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 2 to 5 days. The viability of M. gottschalkii HO on agar plates is 10-30 times higher than that of those grown on gelrite plates.

Antimicrobial MIC Tests

Antibiotics Concentration Observation Period
Liquid Solid
Sodium sulfite 0.5 mM 0.3 mM ~240 h
Mevinolin 40 μM 20 μM ~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) 0.25 mg/mL 0.15 mg/mL ~240 h
Sodium 2-bromoethanesulfonate (BES) 2 mM 1 mM ~240 h

Susceptibility testing was evaluated in GMH-VT2 medium using

Protocols

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Transformation Results

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  1. ↑ 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.
  2. ↑ 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.
  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.