Pseudomaricurvus hydrocarbonicus (KACC 18121, JCM 30134)

Name: Pseudomaricurvus hydrocarbonicus (KACC 18121, JCM 30134)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163717

Type strain

Culture col. no. KACC 18121 JCM 30134

NCBI tax ID(s) 1470433

Special Collections JCM

History C. O. Jeon; Chung-Ang Univ., South Korea; SM-6.

Links

Pseudomaricurvus hydrocarbonicus JCM 30134 is a mesophilic prokaryote that was isolated from Sea tidal flat sediment of the Dangjin coastal area in South Korea.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 28243

JCM 30134

@ref 20215

Last LPSN update 2026-02-09 11:39:40

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Cellvibrionales

Family Cellvibrionaceae

Genus Pseudomaricurvus

Species Pseudomaricurvus hydrocarbonicus

Full scientific name Pseudomaricurvus hydrocarbonicus (Lo et al. 2015) Montecillo et al. 2024

Synonyms (1)

Aestuariicella hydrocarbonica

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	97.5
125439	negative	99

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	25	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		99.5

Isolation, sampling and environmental information

Isolation

67770

Sample typeSea tidal flat sediment of the Dangjin coastal area in South Korea

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1160236v1 assembly for Pseudomaricurvus hydrocarbonicus JCM 30134	contig	GCA_011602365	1470433.3	2886698166	1470433	68.31

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Aestuariicella hydrocarbonica strain SM-6 16S ribosomal RNA gene, partial sequence	KF982858	1400		1470433

GC content

@ref	GC-content (mol%)	Method
67770	47.5	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Aestuariicella hydrocarbonica JCM 30134
NCBI: GCA_011602365

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.50	no
125439	motility	BacteriaNetⓘ	yes	82.20	no
125439	gram_stain	BacteriaNetⓘ	negative	99.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	82.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aestuariicella hydrocarbonica strain JCM 30134
PATRIC: 1470433.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	94.98	no
125438	spore-forming	spore-formingⓘ	no	89.22	no
125438	aerobic	aerobicⓘ	yes	77.70	no
125438	thermophilic	thermophileⓘ	no	96.10	yes
125438	flagellated	motile2+ⓘ	yes	60.21	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Validation List no. 219. Valid publication of new names and new combinations effectively published outside the IJSEM.	Oren A, Goker M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006452	2024
Phylogeny	Aestuariicella hydrocarbonica gen. nov., sp. nov., an aliphatic hydrocarbon-degrading bacterium isolated from a sea tidal flat.	Lo N, Kim KH, Baek K, Jia B, Jeon CO	Int J Syst Evol Microbiol	10.1099/ijs.0.000199	2015
Phylogeny	Aestuariicella albida sp. nov., isolated from surface water of the Yellow Sea, and proposal of the genus Aestuariicella as a member of the family Cellvibrionaceae.	Xue HP, Li JY, Zhang DF, Zhang AH, Huang JK, Liu C, Zhao Z	Int J Syst Evol Microbiol	10.1099/ijsem.0.005493	2022

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 )
#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;
#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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Pseudomaricurvus hydrocarbonicus (KACC 18121, JCM 30134)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_011602365

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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