Sulfitobacter noctilucicola (DSM 101015, JCM 18834, KCTC 32123)

Name: Sulfitobacter noctilucicola (DSM 101015, JCM 18834, KCTC 32123)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131303

Type strain

Strain Designation NB-77

Culture col. no. DSM 101015 JCM 18834 KCTC 32123 NB-77

NCBI tax ID(s) 1342301

Special Collections DSMZ JCM KCTC

History <- KCTC <- J.F. Kim, Yonsei University; NB-77 J. F. Kim NB-77.

Links

Sulfitobacter noctilucicola NB-77 is a bacterium that was isolated from region of sea sparkle-bloom.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 394603

KCTC 23123,KCTC 32123,JCM 18834,CECT 7683,DSM 101015

@ref 20215

Last LPSN update 2026-02-09 11:31:25

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Roseobacteraceae

Genus Sulfitobacter

Species Sulfitobacter noctilucicola

Full scientific name Sulfitobacter noctilucicola Kwak et al. 2014

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.333
125439	negative	90.8

Colony morphology

22530

Incubation period2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22530	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

Culture temp

@ref	Growth	Type	Temperature (°C)
22530	positive	growth	30
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.6

Spore formation

@ref	Spore formation	Confidence
125439		94.3

Observation

67770

Observationquinones: Q-10

Enzymes

@ref	Value	Activity	Ec
22530	catalase	+	1.11.1.6
22530	cytochrome-c oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Protozoa	#Dinoflagellate

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
22530	region of sea sparkle-bloom	Geoje Island	Republic of Korea	KOR	Asia	34.876	128.625 34.876/128.625
67770	Seawater of a region of sea sparkle bloom in Geoje island		Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence KC428717 (>99% sequence identity) for Sulfitobacter noctilucicola from Microbeatlas

Aquatic Samples	78
Soil Samples	3
Animal Samples	1
Plant Samples	5
Total Samples	87

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22530	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	NB77_draft assembly for Sulfitobacter noctilucicola NB-77	contig	GCA_000622385	1342301.3	2574180182	1342301	74.76
66792	ASM1419755v1 assembly for Sulfitobacter noctilucicola DSM 101015	scaffold	GCA_014197555	1342301.16	2835529578	1342301	73.26

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22530	Sulfitobacter noctilucicola strain NB-77 16S ribosomal RNA gene, partial sequence	KC428717	1411		1342301

GC content

@ref	GC-content (mol%)	Method
22530	57.06
67770	57.06	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Sulfitobacter noctilucicola DSM 101015
NCBI: GCA_014197555

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	94.30	no
125439	motility	BacteriaNetⓘ	yes	58.70	no
125439	gram_stain	BacteriaNetⓘ	negative	90.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Sulfitobacter noctilucicola DSM 101015
NCBI: GCA_014197555.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.33	no
125438	anaerobic	anaerobicⓘ	no	97.31	no
125438	aerobic	aerobicⓘ	yes	83.41	no
125438	spore-forming	spore-formingⓘ	no	88.83	no
125438	thermophilic	thermophileⓘ	no	97.90	yes
125438	flagellated	motile2+ⓘ	no	63.89	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Abundant Sulfitobacter marine bacteria protect Emiliania huxleyi algae from pathogenic bacteria.	Beiralas R, Ozer N, Segev E.	ISME Commun	10.1038/s43705-023-00311-y	2023
	Characteristics and Evolutionary Analysis of Photosynthetic Gene Clusters on Extrachromosomal Replicons: from Streamlined Plasmids to Chromids.	Liu Y, Zheng Q, Lin W, Jiao N.	mSystems	10.1128/msystems.00358-19	2019
Phylogeny	Sulfitobacter pacificus sp. nov., isolated from the red alga Pyropia yezoensis.	Fukui Y, Abe M, Kobayashi M, Satomi M	Antonie Van Leeuwenhoek	10.1007/s10482-015-0407-5	2015
Phylogeny	Sulfitobacter geojensis sp. nov., Sulfitobacter noctilucae sp. nov., and Sulfitobacter noctilucicola sp. nov., isolated from coastal seawater.	Kwak MJ, Lee JS, Lee KC, Kim KK, Eom MK, Kim BK, Kim JF	Int J Syst Evol Microbiol	10.1099/ijs.0.065961-0	2014

References

#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 )
#22530	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 101015
#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 .
#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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Sulfitobacter noctilucicola (DSM 101015, JCM 18834, KCTC 32123)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000622385

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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