Tsukamurella pulmonis K362 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from deep marine sponge.
Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Tsukamurellaceae |
| Genus Tsukamurella |
| Species Tsukamurella pulmonis |
| Full scientific name Tsukamurella pulmonis Yassin et al. 1996 |
| Synonyms (1) |
| BacDive ID | Other strains from Tsukamurella pulmonis (9) | Type strain |
|---|---|---|
| 17100 | T. pulmonis DSM 44142, CCUG 35732, JCM 10111, IMMIB D-1321, ... (type strain) | |
| 149887 | T. pulmonis CCUG 38614 | |
| 149921 | T. pulmonis CCUG 38678 | |
| 150358 | T. pulmonis CCUG 39721 | |
| 151796 | T. pulmonis CCUG 44913 | |
| 152572 | T. pulmonis CCUG 47079 | |
| 153072 | T. pulmonis CCUG 48420 | |
| 153425 | T. pulmonis CCUG 49545 | |
| 154019 | T. pulmonis CCUG 52011 |
| 32031 | Spore formationno |
| 32031 | Observationaggregates in clumps |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 32031 | 22599 ChEBI | arabinose | + | carbon source | |
| 32031 | 17057 ChEBI | cellobiose | + | carbon source | |
| 32031 | 28757 ChEBI | fructose | + | carbon source | |
| 32031 | 28260 ChEBI | galactose | + | carbon source | |
| 32031 | 17234 ChEBI | glucose | + | carbon source | |
| 32031 | 18403 ChEBI | L-arabitol | + | carbon source | |
| 32031 | 29864 ChEBI | mannitol | + | carbon source | |
| 32031 | 37684 ChEBI | mannose | + | carbon source | |
| 32031 | 28053 ChEBI | melibiose | + | carbon source | |
| 32031 | 26546 ChEBI | rhamnose | + | carbon source | |
| 32031 | 33942 ChEBI | ribose | + | carbon source | |
| 32031 | 17814 ChEBI | salicin | + | carbon source | |
| 32031 | 30911 ChEBI | sorbitol | + | carbon source | |
| 32031 | 17992 ChEBI | sucrose | + | carbon source | |
| 32031 | 27082 ChEBI | trehalose | + | carbon source | |
| 32031 | 18222 ChEBI | xylose | + | carbon source |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Marine | |
| #Host | #Invertebrates (Other) | #Porifera (Sponges) |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 32031 | deep marine sponge | |||||
| 61582 | Deep-water marine hexactinellid sponge | of the coast Antilles Curaçao | Netherlands | NLD | Middle and South America | |
| 67770 | Deep-water marine hexactinellid sponge with associated zoanthids | coast of Curaçao | Netherlands Antilles | NLD | North America |
Global distribution of 16S sequence KF410344 (>99% sequence identity) for Tsukamurella from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM157521v1 assembly for Tsukamurella pulmonis DSM 44990 | contig | 47312 | 69.35 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 32031 | Tsukamurella spongiae strain K362 16S ribosomal RNA gene, partial sequence | AY714239 | 1480 | 47312 | ||
| 67770 | Tsukamurella spongiae strain DSM 44990 16S ribosomal RNA gene, partial sequence | KF410344 | 1480 | 47312 | ||
| 124043 | Tsukamurella pulmonis strain DSM 44990 16S ribosomal RNA gene, partial sequence. | KX924525 | 1221 | 47312 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 50.00 | no |
| 125439 | motility | BacteriaNetⓘ | no | 81.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.31 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 98.75 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 55.51 | no |
| 125438 | aerobic | aerobicⓘ | yes | 90.34 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 97.00 | no |
| 125438 | flagellated | motile2+ⓘ | no | 93.00 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Phylogenomic Analyses and Reclassification of Species within the Genus Tsukamurella: Insights to Species Definition in the Post-genomic Era. | Teng JL, Tang Y, Huang Y, Guo FB, Wei W, Chen JH, Wong SS, Lau SK, Woo PC. | Front Microbiol | 10.3389/fmicb.2016.01137 | 2016 | |
| Reply to Perez del Molino Bernal and Agüero Balbin, "seqA1 Is a Useful Target for Identification of Tsukamurella pulmonis". | Teng JLL, Tang Y, Lau SKP, Woo PCY. | J Clin Microbiol | 10.1128/jcm.00238-17 | 2017 | ||
| Enzymology | MALDI-TOF MS for identification of Tsukamurella species: Tsukamurella tyrosinosolvens as the predominant species associated with ocular infections. | Teng JLL, Tang Y, Wong SSY, Fong JYH, Zhao Z, Wong CP, Chen JHK, Ngan AHY, Wu AKL, Fung KSC, Que TL, Lau SKP, Woo PCY. | Emerg Microbes Infect | 10.1038/s41426-018-0083-4 | 2018 | |
| Genetics | Genome-Based Taxonomic Classification of the Phylum Actinobacteria. | Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M. | Front Microbiol | 10.3389/fmicb.2018.02007 | 2018 | |
| Phylogeny | Tsukamurella spongiae sp. nov., a novel actinomycete isolated from a deep-water marine sponge. | Olson JB, Harmody DK, Bej AK, McCarthy PJ | Int J Syst Evol Microbiol | 10.1099/ijs.0.64837-0 | 2007 |
| #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 ) |
| #28282 | IJSEM 1478 2007 ( DOI 10.1099/ijs.0.64837-0 , PubMed 17625179 ) |
| #32031 | 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 #28282 |
| #61582 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 58061 |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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 ) |
| #125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 . |
| #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/bacdive134234.20251217.10
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