Stappia taiwanensis (CCUG 59208, LMG 25538, CCM 7757)

Name: Stappia taiwanensis (CCUG 59208, LMG 25538, CCM 7757)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133897

Type strain

Strain Designation CC-SPIO-10, CC-SP10-10

Culture col. no. CCUG 59208 LMG 25538 CCM 7757 DSM 23284 CC-SPIO-10 1 more

NCBI tax ID(s) 992267

Special Collections DSMZ CCUG Literature strains

History <- P. Kämpfer, Univ. Giessen, Germany; CC-SPIO-10 <- A. B. Arun

Links

Stappia taiwanensis CC-SPIO-10 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from hot spring.

Gram-negative rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 411954

LMG 25538,CCUG 59208

@ref 20215

Last LPSN update 2026-02-09 11:32:03

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Stappiaceae

Genus Stappia

Species Stappia taiwanensis

Full scientific name Stappia taiwanensis Kämpfer et al. 2013

BacDive ID	Other strains from **Stappia taiwanensis** (1)	Type strain
140054	S. taiwanensis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
30809	negative	0.9 µm	0.5 µm	rod-shaped
125439	negative				99.3
125438	negative				99

Colony morphology

61864

Incubation period2 days

Pigmentation

30809

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
42661	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)
30809	positive	growth	10-45
30809	positive	optimum	27.5
42661	positive	growth	28
61864	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
30809	positive	optimum	7
30809	positive	growth	6.5-11.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
30809	aerobe
61864	aerobe

Spore formation

@ref	Spore formation	Confidence
125439		98.8
125438		92.665

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30809	NaCl	positive	growth	01-06 %
30809	NaCl	positive	optimum	2.5 %

Observation

30809

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30809	37054 ChEBI	3-hydroxybutyrate	+	carbon source
30809	30089 ChEBI	acetate	+	carbon source
30809	22599 ChEBI	arabinose	+	carbon source
30809	16947 ChEBI	citrate	+	carbon source
30809	28260 ChEBI	galactose	+	carbon source
30809	17234 ChEBI	glucose	+	carbon source
30809	24996 ChEBI	lactate	+	carbon source
30809	25115 ChEBI	malate	+	carbon source
30809	506227 ChEBI	N-acetylglucosamine	+	carbon source
30809	17272 ChEBI	propionate	+	carbon source
30809	15361 ChEBI	pyruvate	+	carbon source
30809	33942 ChEBI	ribose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30809	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Thermal spring
#Condition	#Thermophilic (>45°C)	-
#Environmental	#Terrestrial	#Coast

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
30809	hot spring
42661	coastal hot spring		Taituang, Lutao, Green Island	Taiwan, Province of China	TWN	Asia
61864	Coastal hot spring	2008-06-25	Taituang,Lutao,Green Island,Lutao	Taiwan, Province of China	TWN	Asia

Taxonmaps

69479

Global distribution of 16S sequence FR828537 (>99% sequence identity) for Stappia taiwanensis from Microbeatlas

Aquatic Samples	52
Soil Samples	47
Animal Samples	25
Plant Samples	2
Total Samples	126

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
42661	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1463528v1 assembly for Stappia taiwanensis CCM 7757	contig	GCA_014635285	992267.6	2989355479	992267	72.17
66792	ASM1386814v1 assembly for Stappia taiwanensis DSM 23284	scaffold	GCA_013868145	992267.3	8066446054	992267	71.42

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
30809	Stappia taiwanensis partial 16S rRNA gene, type strain CC-SPIO-10T	FR828537	1351		992267
124043	Stappia taiwanensis strain CCM 7757 16S ribosomal RNA gene, partial sequence.	MT760174	1310		992267

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Stappia taiwanensis DSM 23284
NCBI: GCA_013868145

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.80	no
125439	motility	BacteriaNetⓘ	yes	85.10	no
125439	gram_stain	BacteriaNetⓘ	negative	99.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	81.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Stappia taiwanensis DSM 23284
NCBI: GCA_013868145.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	yes
125438	anaerobic	anaerobicⓘ	no	94.29	yes
125438	aerobic	aerobicⓘ	yes	79.84	yes
125438	spore-forming	spore-formingⓘ	no	92.67	no
125438	thermophilic	thermophileⓘ	no	97.98	yes
125438	flagellated	motile2+ⓘ	yes	70.56	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Stappia sediminis sp. nov., isolated from rhizosphere soil of coastal herb Zoysia matrella within the Beibu Gulf.	Li M, Yi X, Li F, Feng Y, Liu Y, Gao C	Arch Microbiol	10.1007/s00203-021-02674-z	2022
Phylogeny	Stappia albiluteola sp. nov., isolated from marine sediment.	Jiang S, Sun YY, Lian FB, Zhang XK, Du ZJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.004807	2021
Phylogeny	Stappia taiwanensis sp. nov., isolated from a coastal thermal spring.	Kampfer P, Arun AB, Frischmann A, Busse HJ, Young CC, Rekha PD, Chen WM	Int J Syst Evol Microbiol	10.1099/ijs.0.044966-0	2012

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 )
#27140	IJSEM 1350 2013 ( DOI 10.1099/ijs.0.044966-0 , PubMed 22798655 )
#30809	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 #27140
#42661	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23284
#61864	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 59208
#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) .
#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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Stappia taiwanensis (CCUG 59208, LMG 25538, CCM 7757)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014635285

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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