Aeromicrobium massiliense (DSM 25782, CSUR P158, JCM 30543)

Name: Aeromicrobium massiliense (DSM 25782, CSUR P158, JCM 30543)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23162

Type strain

Strain Designation JC14

Culture col. no. DSM 25782 CSUR P158 JCM 30543 JC14

NCBI tax ID(s) 1464554

Special Collections DSMZ JCM Cadoret human gut

Links

Aeromicrobium massiliense JC14 is a mesophilic prokaryote that was isolated from human feces from a healthy 16-year-old male volunteer patient.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 405269

JCM 30543,DSM 25782

@ref 20215

Last LPSN update 2025-12-16 09:52:35

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Propionibacteriales

Family Nocardioidaceae

Genus Aeromicrobium

Species Aeromicrobium massiliense

Full scientific name Aeromicrobium massiliense Ramasamy et al. 2014

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
19271	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water
19271	CASO AGAR (MERCK 105458) (DSMZ Medium 220)		Medium recipe at MediaDive	Name: CASO AGAR (MERCK 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
19271	positive	growth	28	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.8

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Patient	-
#Host	#Human	#Male
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
19271	human feces from a healthy 16-year-old male volunteer patient	Senegal	SEN	Africa
67770	Stool of a healthy Senegalese patient

Taxonmaps

69479

Global distribution of 16S sequence JF824798 (>99% sequence identity) for Aeromicrobium massiliense subclade from Microbeatlas

Aquatic Samples	16
Soil Samples	140
Animal Samples	64
Plant Samples	112
Total Samples	332

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
19271	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM31210v1 assembly for Aeromicrobium massiliense JC14	scaffold	GCA_000312105	1033730.6	2802429300	1033730	74.61
67770	ASM28543v1 assembly for Aeromicrobium massiliense JC14	contig	GCA_000285435	1033730.3	2636416159	1033730

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
19271	Aeromicrobium massiliense JC14 16S ribosomal RNA gene, partial sequence	JF824798	1468		1033730

GC content

@ref	GC-content (mol%)	Method
19271	77.32	sequence analysis
67770	72.49	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Aeromicrobium massiliense JC14
NCBI: GCA_000312105

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.80	no
125439	gram_stain	BacteriaNetⓘ	positive	85.80	no
125439	motility	BacteriaNetⓘ	yes	60.20	no
125439	spore_formation	BacteriaNetⓘ	no	80.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aeromicrobium massiliense JC14
PATRIC: 1033730.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.57	no
125438	anaerobic	anaerobicⓘ	no	97.48	no
125438	spore-forming	spore-formingⓘ	no	57.66	no
125438	aerobic	aerobicⓘ	yes	84.89	no
125438	thermophilic	thermophileⓘ	no	95.60	yes
125438	flagellated	motile2+ⓘ	no	64.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Genome sequence and description of Aeromicrobium massiliense sp. nov.	Ramasamy D, Kokcha S, Lagier JC, Nguyen TT, Raoult D, Fournier PE.	Stand Genomic Sci	10.4056/sigs.3306717	2012

References

#19271	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25782
#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 )
#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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Aeromicrobium massiliense (DSM 25782, CSUR P158, JCM 30543)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000312105

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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