Marinicella pacifica sw153 is an aerobe, Gram-negative, rod-shaped bacterium that forms circular colonies and was isolated from surface seawater.
Gram-negative rod-shaped colony-forming aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Lysobacterales |
| Family Marinicellaceae |
| Genus Marinicella |
| Species Marinicella pacifica |
| Full scientific name Marinicella pacifica Wang et al. 2016 |
| @ref | Colony size | Colony color | Colony shape | Incubation period | Medium used | |
|---|---|---|---|---|---|---|
| 43959 | 0.4-0.5 mm | transparent | circular | 2 days | Marine agar 2216 |
| @ref: | 24765 |
| multimedia content: | DSM_25600.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_25600.jpg |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 43959 | Marine agar (MA) | ||||
| 24765 | BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) | Medium recipe at MediaDive | Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 43959 | 27613 ChEBI | amygdalin | - | builds acid from | |
| 43959 | 22599 ChEBI | arabinose | - | builds acid from | |
| 43959 | 85146 ChEBI | carboxymethylcellulose | + | hydrolysis | |
| 43959 | casein | + | hydrolysis | ||
| 43959 | 17057 ChEBI | cellobiose | - | carbon source | |
| 43959 | 17029 ChEBI | chitin | + | hydrolysis | |
| 43959 | 16947 ChEBI | citrate | - | carbon source | |
| 43959 | 16947 ChEBI | citrate | + | carbon source | |
| 43959 | 15824 ChEBI | D-fructose | + | carbon source | |
| 43959 | 12936 ChEBI | D-galactose | + | carbon source | |
| 43959 | 17784 ChEBI | D-glucosaminic acid | - | carbon source | |
| 43959 | 14314 ChEBI | D-glucose 6-phosphate | - | carbon source | |
| 43959 | 16899 ChEBI | D-mannitol | - | carbon source | |
| 43959 | 16024 ChEBI | D-mannose | - | builds acid from | |
| 43959 | 27605 ChEBI | D-psicose | + | carbon source | |
| 43959 | 16551 ChEBI | D-trehalose | - | carbon source | |
| 43959 | 16991 ChEBI | dna | + | hydrolysis | |
| 43959 | 5291 ChEBI | gelatin | + | hydrolysis | |
| 43959 | 5417 ChEBI | glucosamine | - | builds acid from | |
| 43959 | 17234 ChEBI | glucose | - | fermentation | |
| 43959 | 29042 ChEBI | glucose 1-phosphate | - | carbon source | |
| 43959 | 14336 ChEBI | glycerol 1-phosphate | - | carbon source | |
| 43959 | 17716 ChEBI | lactose | - | builds acid from | |
| 43959 | 6359 ChEBI | lactulose | - | carbon source | |
| 43959 | 17306 ChEBI | maltose | - | carbon source | |
| 43959 | 29864 ChEBI | mannitol | - | builds acid from | |
| 43959 | 28053 ChEBI | melibiose | - | builds acid from | |
| 43959 | 17268 ChEBI | myo-inositol | - | builds acid from | |
| 43959 | 17632 ChEBI | nitrate | - | reduction | |
| 43959 | 16634 ChEBI | raffinose | - | builds acid from | |
| 43959 | 16634 ChEBI | raffinose | + | carbon source | |
| 43959 | 26546 ChEBI | rhamnose | - | builds acid from | |
| 43959 | 17814 ChEBI | salicin | - | builds acid from | |
| 43959 | 28017 ChEBI | starch | + | hydrolysis | |
| 43959 | 17992 ChEBI | sucrose | - | builds acid from | |
| 43959 | 32528 ChEBI | turanose | - | carbon source | |
| 43959 | 53424 ChEBI | tween 20 | + | hydrolysis | |
| 43959 | 53423 ChEBI | tween 40 | + | hydrolysis | |
| 43959 | 53426 ChEBI | tween 80 | + | hydrolysis |
| Metadata FA analysis | |||||||||||||||||||||
| type of FA analysis | whole cell analysis | ||||||||||||||||||||
| incubation medium | Marine agar 2216 | ||||||||||||||||||||
| agar/liquid | agar | ||||||||||||||||||||
| incubation temperature | 28 | ||||||||||||||||||||
| incubation time | 2 | ||||||||||||||||||||
| software version | Sherlock 6.1 | ||||||||||||||||||||
| library/peak naming table | RTSBA6 6.10 | ||||||||||||||||||||
| system | MIS MIDI | ||||||||||||||||||||
| method/protocol | Sasser, 1990 | ||||||||||||||||||||
| @ref | 43959 | ||||||||||||||||||||
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| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Marine | |
| #Environmental | #Aquatic | #Surface water |
| @ref | Sample type | Geographic location | Latitude | Longitude | Enrichment culture | Enrichment culture duration | Enrichment culture temperature | |
|---|---|---|---|---|---|---|---|---|
| 24765 | surface seawater | Pacific Ocean, South Pacific Gyre | -39.3167 | -139.8 -39.3167/-139.8 | ||||
| 43959 | surface seawater of the South Pacific Gyre | South Pacific Gyre | -39.3167 | -139.8 -39.3167/-139.8 | Marine agar 2216 | 7 days | 28 | |
| 67770 | Surface seawater of the South Pacific Gyre (39° 19' S 139° 48' W) | -39.3167 | -139.8 -39.3167/-139.8 |
Global distribution of 16S sequence JQ082140 (>99% sequence identity) for Marinicella pacifica subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 24765 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM3954316v1 assembly for Marinicella pacifica JCM 18208 | contig | 1171543 | 64.49 | ||||
| 66792 | ASM1463663v1 assembly for Marinicella pacifica CGMCC 1.12181 | scaffold | 1171543 | 62.02 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 24765 | Marinicella pacifica strain sw153 16S ribosomal RNA gene, partial sequence | JQ082140 | 1506 | 1171543 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 24765 | 44.5 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 94.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 95.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 57.50 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.83 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 94.14 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 78.02 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 91.98 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.73 | no |
| 125438 | flagellated | motile2+ⓘ | no | 71.33 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Marinicella rhabdoformis sp. nov., isolated from coastal sediment. | Zhong YL, Sun XK, Hui JG, Teng HL, Du ZJ | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004210 | 2020 | |
| Phylogeny | Marinicella sediminis sp. nov., isolated from marine sediment. | Wang XQ, Li CM, Dunlap CA, Rooney AP, Du ZJ | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002839 | 2018 | |
| Phylogeny | Marinicella pacifica sp. nov., isolated from seawater. | Wang Y, Liu Y, Zhang Z, Zheng Y, Zhang XH | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001027 | 2016 |
| #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 ) |
| #24765 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25600 |
| #43959 | Yanan Wang, Yan Liu, Zenghu Zhang, Yanfen Zheng, Xiao-Hua Zhang: Marinicella pacifica sp. nov., isolated from seawater. IJSEM 66: 2313 - 2318 2016 ( DOI 10.1099/ijsem.0.001027 , PubMed 26978647 ) |
| #66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) . |
| #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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