Methylomicrobium lacus LW14 is an aerobe, Gram-negative, ovoid-shaped bacterium that was isolated from freshwater sediment .
Gram-negative ovoid-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Methylococcales |
| Family Methylococcaceae |
| Genus Methylomicrobium |
| Species Methylomicrobium lacus |
| Full scientific name Methylomicrobium lacus (Kalyuzhnaya et al. 2005) Orata et al. 2019 |
| Synonyms (1) |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Freshwater | |
| #Environmental | #Aquatic | #Lake (large) | |
| #Environmental | #Aquatic | #Pond (small) | |
| #Environmental | #Aquatic | #River (Creek) |
Global distribution of 16S sequence AY007296 (>99% sequence identity) for Methylomicrobium lacus subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM52709v1 assembly for Methylomicrobium lacus LW14 | contig | 1114263 | 70.7 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 31362 | Methylosarcina lacus strain LW14 16S ribosomal RNA gene, partial sequence | AY007296 | 1499 | 136992 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.50 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 88.06 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 63.92 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 86.75 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.42 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 63.28 | yes |
| #20215 | Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 ) |
| #27675 | IJSEM 2345 2005 ( DOI 10.1099/ijs.0.63405-0 , PubMed 16280494 ) |
| #31362 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27675 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 ) |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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https://doi.org/10.13145/bacdive134110.20251217.10
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