Salinicola acroporae (LMG 28587, JCM 30412)

Name: Salinicola acroporae (LMG 28587, JCM 30412)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163786

Type strain

Culture col. no. LMG 28587 JCM 30412

NCBI tax ID(s) 1541440

Special Collections JCM

History JCM <-- S. K. Das; Inst. of Life Sci., India; S4-41.

Links

Salinicola acroporae JCM 30412 is a bacterium that was isolated from Mucus of coral Acropora digitifera from Andaman Sea near North Bay island, Andaman.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 272561

LMG 28587,JCM 30412

@ref 20215

Last LPSN update 2026-05-29 08:45:15

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Oceanospirillales

Family Halomonadaceae

Genus Salinicola

Species Salinicola acroporae

Full scientific name Salinicola acroporae Lepcha et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	94.707
125438	negative	100

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	aerobe	90.365

Spore formation

@ref	Spore formation	Confidence
125439		99.831

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species
67770	Mucus of coral Acropora digitifera from Andaman Sea near North Bay island, Andaman	Acropora digitifera

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	Salinicola acroporae JCM 30412	complete			2849294432	1541440	93.58
66792	ASM320661v1 assembly for Salinicola acroporae LMG 28587	scaffold	GCA_003206615	1541440.3	2894375665	1541440	72.13

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Salinicola acroporae 16S ribosomal RNA gene, partial sequence	KM200719	1401		1541440

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM320661v1 assembly for Salinicola acroporae LMG 28587
BV-BRC: 1541440.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	90.37	no
125439	gram_stain	BacteriaNetⓘ	negative	94.71	no
125439	motility	BacteriaNetⓘ	yes	81.87	no
125439	spore_formation	BacteriaNetⓘ	no	99.83	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Salinicola acroporae LMG 28587
NCBI: GCA_003206615.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	no
125438	anaerobic	anaerobicⓘ	no	96.96	no
125438	aerobic	aerobicⓘ	yes	85.04	no
125438	spore-forming	spore-formingⓘ	no	88.27	no
125438	thermophilic	thermophileⓘ	no	98.53	yes
125438	flagellated	motile2+ⓘ	yes	79.43	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Description of Salinicola corii sp. nov., a Halotolerant Bacterium Isolated from Wetsalted Hides.	Li X, Chen J, Gan L, Tian Y, Shi B	Curr Microbiol	10.1007/s00284-020-01989-2	2020
Phylogeny	Comparative 16S rRNA signatures and multilocus sequence analysis for the genus Salinicola and description of Salinicola acroporae sp. nov., isolated from coral Acropora digitifera.	Lepcha RT, Poddar A, Schumann P, Das SK	Antonie Van Leeuwenhoek	10.1007/s10482-015-0464-9	2015

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 )

Rate our new design

Content

About us

Salinicola acroporae (LMG 28587, JCM 30412)

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

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003206615

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media