Crenalkalicoccus roseus (JCM 19657, KACC 17825, YIM 78023)

Name: Crenalkalicoccus roseus (JCM 19657, KACC 17825, YIM 78023)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 141068

Type strain

Culture col. no. JCM 19657 KACC 17825 YIM 78023

NCBI tax ID(s) 1485588

Special Collections JCM Literature strains

Links

Crenalkalicoccus roseus JCM 19657 is an aerobe, Gram-negative, coccus-shaped prokaryote that forms irregular colonies and was isolated from alkaline hot springs in Tengchong county, Yunnan province, south-west China.

Gram-negative coccus-shaped colony-forming aerobe genome sequence 16S sequence

Name and taxonomic classification

SI-ID 394472

JCM 19657

@ref 20215

Last LPSN update 2025-12-16 10:03:45

Domain Pseudomonadati

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Acetobacteraceae

Genus Crenalkalicoccus

Species Crenalkalicoccus roseus

Full scientific name Crenalkalicoccus roseus Ming et al. 2016

BacDive ID	Other strains from **Crenalkalicoccus roseus** (1)	Type strain
162580	C. roseus JCM 19658

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
43954	negative	0.6-0.9 µm	0.6-0.9 µm	coccus-shaped
125438	negative					97.15

Colony morphology

@ref	Colony color	Colony shape	Medium used
43954	rose-red	irregular	R2A agar
43954	rose-red	irregular	ISP 2 agar
43954	rose-red	irregular	T5 agar

Pigmentation

43954

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth
43954	ISP 2 agar
43954	Reasoner's 2A agar (R2A)
43954	T5 agar

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
43954	positive	growth	20-60
43954	positive	optimum	40-50	thermophilic
67770	positive	growth	45	thermophilic

Culture pH

@ref	Ability	Type	PH	PH range
43954	positive	optimum	8
43954	positive	growth	6.0-9.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
43954	aerobe
125439	obligate aerobe	99.6

Spore formation

43954

Spore formationno

Halophily

@ref	Salt	Growth	Tested relation	Concentration
43954	NaCl	positive	growth	0-2.5 %(w/v)
43954	NaCl	positive	optimum	0-2 %(w/v)

Observation

@ref	Observation
43954	quinone Q-10
67770	quinones: Q-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43954	17128 ChEBI	adipate	-	assimilation
43954	17057 ChEBI	cellobiose	-	carbon source
43954	62968 ChEBI	cellulose	-	hydrolysis
43954	15824 ChEBI	D-fructose	-	carbon source
43954	12936 ChEBI	D-galactose	+	carbon source
43954	17634 ChEBI	D-glucose	+	assimilation
43954	17634 ChEBI	D-glucose	+	carbon source
43954	16899 ChEBI	D-mannitol	+	assimilation
43954	16899 ChEBI	D-mannitol	+	carbon source
43954	16024 ChEBI	D-mannose	-	assimilation
43954	16024 ChEBI	D-mannose	-	carbon source
43954	17924 ChEBI	D-sorbitol	+	carbon source
43954	65327 ChEBI	D-xylose	+	carbon source
43954	27689 ChEBI	decanoate	-	assimilation
43954	4853 ChEBI	esculin	+	hydrolysis
43954	29806 ChEBI	fumarate	+	carbon source
43954	16813 ChEBI	galactitol	+	carbon source
43954	5291 ChEBI	gelatin	+	hydrolysis
43954	17234 ChEBI	glucose	-	builds acid from
43954	17754 ChEBI	glycerol	+	carbon source
43954	15428 ChEBI	glycine	-	nitrogen source
43954	17368 ChEBI	hypoxanthine	+	nitrogen source
43954		L-alanine 4-nitroanilide	+	nitrogen source
43954	30849 ChEBI	L-arabinose	-	assimilation
43954	30849 ChEBI	L-arabinose	-	carbon source
43954	16467 ChEBI	L-arginine	+	nitrogen source
43954	17196 ChEBI	L-asparagine	+	nitrogen source
43954	16283 ChEBI	L-cystine	-	nitrogen source
43954	29985 ChEBI	L-glutamate	+	nitrogen source
43954	18019 ChEBI	L-lysine	+	nitrogen source
43954	17295 ChEBI	L-phenylalanine	-	nitrogen source
43954	17115 ChEBI	L-serine	+	nitrogen source
43954	16857 ChEBI	L-threonine	+	nitrogen source
43954	17895 ChEBI	L-tyrosine	+	nitrogen source
43954	16414 ChEBI	L-valine	+	nitrogen source
43954	17716 ChEBI	lactose	+	carbon source
43954	17306 ChEBI	maltose	-	assimilation
43954	17306 ChEBI	maltose	-	carbon source
43954	17268 ChEBI	myo-inositol	+	carbon source
43954	506227 ChEBI	N-acetylglucosamine	-	assimilation
43954	17632 ChEBI	nitrate	+	reduction
43954	18401 ChEBI	phenylacetate	-	assimilation
43954	32032 ChEBI	potassium gluconate	+	assimilation
43954	16634 ChEBI	raffinose	+	carbon source
43954	32954 ChEBI	sodium acetate	+	carbon source
43954	53258 ChEBI	sodium citrate	-	assimilation
43954	53258 ChEBI	sodium citrate	+	carbon source
43954	50144 ChEBI	sodium pyruvate	+	carbon source
43954	63675 ChEBI	sodium succinate	-	carbon source
43954	28017 ChEBI	starch	-	hydrolysis
43954	17992 ChEBI	sucrose	+	carbon source
43954	27082 ChEBI	trehalose	+	carbon source
43954	53424 ChEBI	tween 20	+	hydrolysis
43954	53423 ChEBI	tween 40	+	hydrolysis
43954	37166 ChEBI	xylan	-	hydrolysis
43954	17151 ChEBI	xylitol	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
43954	16136 ChEBI	hydrogen sulfide
43954	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
43954	acid phosphatase	-	3.1.3.2
43954	alkaline phosphatase	+	3.1.3.1
43954	alpha-chymotrypsin	-	3.4.21.1
43954	alpha-galactosidase	-	3.2.1.22
43954	alpha-glucosidase	-	3.2.1.20
43954	alpha-mannosidase	-	3.2.1.24
43954	arginine dihydrolase	-	3.5.3.6
43954	beta-D-fucosidase	-	3.2.1.38
43954	beta-galactosidase	+	3.2.1.23
43954	beta-glucosidase	+	3.2.1.21
43954	beta-glucuronidase	-	3.2.1.31
43954	catalase	+	1.11.1.6
43954	cystine arylamidase	-	3.4.11.3
43954	cytochrome oxidase	+	1.9.3.1
43954	esterase (C 4)	+
43954	esterase Lipase (C 8)	+
43954	leucine arylamidase	+	3.4.11.1
43954	lipase (C 14)	-
43954	N-acetyl-beta-glucosaminidase	-	3.2.1.52
43954	naphthol-AS-BI-phosphohydrolase	+
43954	trypsin	-	3.4.21.4
43954	urease	+	3.5.1.5
43954	valine arylamidase	+

Fatty acid profile

Metadata FA analysis

@ref

43954

Fatty acid	Percentage
C18:1ω7c	50.6
C18:0	16.1
C16:0	13.5
C19:0ω8c cyclo	8.9
C17:1 iso I /C17:1 anteiso B	6
C18:1ω5c	1.2
C12:0 aldehyde / unknown 10.928	0.9
C18:1 2OH	0.8
C18:1 3-OH	0.5
C20:0	0.5
C16:1ω7c / C16:1ω6c	0.3
11-methyl C18:1ω7c	0.3
C17:0	0.2
C17:1ω6c	0.1
C14:0	0.1

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Enrichment culture	Enrichment culture composition	Enrichment culture duration	Enrichment culture temperature
43954	alkaline hot springs in Tengchong county, Yunnan province, south-west China	Tengchong county, Yunnan province	China	CHN	Asia	24.9636	98.3615 24.9636/98.3615	R2A agar	pH 8.0	7 days	45, 50, 55
67770	Alkaline hot spring	Tengchong, Yunnan Province, south-west China	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence KJ361470 (>99% sequence identity) for Crenalkalicoccus roseus subclade from Microbeatlas

Aquatic Samples	170
Soil Samples	118
Animal Samples	149
Plant Samples	29
Total Samples	466

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM476186v1 assembly for Crenalkalicoccus roseus YIM 78023	scaffold	GCA_004761865	1485588.3	2840042175	1485588	49.78

16S sequences

@ref	Description	Accession	Database
43954	Crenalkalicoccus roseus strain YIM 78023 16S ribosomal RNA gene, partial sequence	KJ361470

GC content

@ref	GC-content (mol%)	Method
67770	74.3	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Crenalkalicoccus roseus YIM 78023
NCBI: GCA_004761865

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	87.30	no
125439	motility	BacteriaNetⓘ	no	55.20	no
125439	gram_stain	BacteriaNetⓘ	positive	72.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Crenalkalicoccus roseus strain YIM 78023
PATRIC: 1485588.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.15	yes
125438	anaerobic	anaerobicⓘ	no	92.50	no
125438	spore-forming	spore-formingⓘ	no	81.96	no
125438	aerobic	aerobicⓘ	yes	80.01	yes
125438	thermophilic	thermophileⓘ	no	91.47	no
125438	flagellated	motile2+ⓘ	yes	67.02	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Pathogenicity	Pro-inflammatory effects of inhaled Great Salt Lake dust particles.	Cowley JM, Deering-Rice CE, Lamb JG, Romero EG, Almestica-Roberts M, Serna SN, Sun L, Kelly KE, Whitaker RT, Cheminant J, Venosa A, Reilly CA.	Part Fibre Toxicol	10.1186/s12989-025-00618-9	2025
Phylogeny	Genome analysis suggests the bacterial family Acetobacteraceae is a source of undiscovered specialized metabolites.	Guzman J, Vilcinskas A.	Antonie Van Leeuwenhoek	10.1007/s10482-021-01676-7	2022
Phylogeny	Caldovatus sediminis gen. nov., sp. nov., a moderately thermophilic bacterium isolated from a hot spring.	Habib N, Khan IU, Hussain F, Zhou EM, Xiao M, Ahmed I, Zhi XY, Li WJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.002363	2017
Phylogeny	Crenalkalicoccus roseus gen. nov., sp. nov., a thermophilic bacterium isolated from alkaline hot springs.	Ming H, Duan YY, Yin YR, Meng XL, Li S, Zhou EM, Huang JR, Nie GX, Li WJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.001029	2016

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 )
#43954	Hong Ming, Yan-Yan Duan, Yi-Rui Yin, Xiao-Lin Meng, Shuai Li, En-Min Zhou, Jian-Rong Huang, Guo-Xing Nie, Wen-Jun Li: Crenalkalicoccus roseus gen. nov., sp. nov., a thermophilic bacterium isolated from alkaline hot springs. IJSEM 66: 2319 - 2326 2016 ( DOI 10.1099/ijsem.0.001029 , PubMed 27001292 )
#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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Crenalkalicoccus roseus (JCM 19657, KACC 17825, YIM 78023)

Name and taxonomic classification