Litorilituus sediminis (CGMCC 1.10794, JCM 17549)

Name: Litorilituus sediminis (CGMCC 1.10794, JCM 17549)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162038

Type strain

Culture col. no. CGMCC 1.10794 JCM 17549

NCBI tax ID(s) 718192

Special Collections JCM

History JCM <-- X.-H. Zhang JYr2 <-- R. Zhao JYr2.

Links

Litorilituus sediminis JCM 17549 is a bacterium that was isolated from Coastal sediment from an amphioxus breeding zone of Yellow Sea in Qingdao.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 393468

JCM 17549

@ref 20215

Last LPSN update 2026-05-29 08:44:50

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Alteromonadales

Family Colwelliaceae

Genus Litorilituus

Species Litorilituus sediminis

Full scientific name Litorilituus sediminis Wang et al. 2019

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	100
125439	negative	97.744

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	94.196

Spore formation

@ref	Spore formation	Confidence
125439		99.152

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Coastal sediment from an amphioxus breeding zone of Yellow Sea in Qingdao	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence GU391219 (>99% sequence identity) for Litorilituus sediminis subclade from Microbeatlas

Aquatic Samples	71
Soil Samples	13
Animal Samples	192
Plant Samples	0
Total Samples	276

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM429566v1 assembly for Litorilituus sediminis JCM 17549	complete	GCA_004295665	718192.4	2837225695	718192	93.44

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Litorilituus sediminis strain JYr2 16S ribosomal RNA gene, partial sequence	GU391219	1430		718192

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM429566v1 assembly for Litorilituus sediminis JCM 17549
BV-BRC: 718192.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	94.20	no
125439	gram_stain	BacteriaNetⓘ	negative	97.74	no
125439	spore_formation	BacteriaNetⓘ	no	99.15	no
125439	motility	BacteriaNetⓘ	yes	57.85	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Litorilituus sediminis JCM 17549
NCBI: GCA_004295665.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	no
125438	anaerobic	anaerobicⓘ	no	95.46	no
125438	aerobic	aerobicⓘ	yes	66.62	no
125438	spore-forming	spore-formingⓘ	no	89.42	no
125438	thermophilic	thermophileⓘ	no	97.50	no
125438	flagellated	motile2+ⓘ	yes	87.43	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Litorilituus sediminis gen. nov. sp. nov., isolated from coastal sediment of an amphioxus breeding zone in Qingdao, China.	Wang Y, Zhao R, Ji S, Li Z, Yu T, Li B, Shi X, Zhang XH	Antonie Van Leeuwenhoek	10.1007/s10482-013-9967-4	2013

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;
#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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Litorilituus sediminis (CGMCC 1.10794, JCM 17549)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004295665

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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