Aeromicrobium yanjiei (CGMCC 1.17444, JCM 33790)

Name: Aeromicrobium yanjiei (CGMCC 1.17444, JCM 33790)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164653

Type strain

Culture col. no. CGMCC 1.17444 JCM 33790

NCBI tax ID(s) 2662028

Special Collections JCM

History JCM <-- J. Yang; Natl. Inst. for Commun. Dis. Control & Prev., China CDC, China; MF47.

Links

Aeromicrobium yanjiei JCM 33790 is a bacterium that was isolated from Intestinal contents of plateau pika collected from the Qinghai-Tibet Plateau.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 133324

JCM 33790

@ref 20215

Last LPSN update 2026-05-29 08:45:28

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Propionibacteriales

Family Nocardioidaceae

Genus Aeromicrobium

Species Aeromicrobium yanjiei

Full scientific name Aeromicrobium yanjiei Li et al. 2020

Morphology

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.11

Spore formation

@ref	Spore formation	Confidence
125439		98.537

Observation

67770

Observationquinones: MK-9(H₄), MK-8(H₄)

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Intestinal contents of plateau pika collected from the Qinghai-Tibet Plateau	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM964907v1 assembly for Aeromicrobium yanjiei MF47	complete	GCA_009649075	2662028.3	2884488859	2662028	98.02

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Aeromicrobium yanjiei strain MF47 16S ribosomal RNA gene, partial sequence	MN421549	1482		2662028

GC content

@ref	GC-content (mol%)	Method
67770	69.8	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM964907v1 assembly for Aeromicrobium yanjiei MF47
NCBI: GCA_009649075

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.11	no
125439	motility	BacteriaNetⓘ	no	61.78	no
125439	gram_stain	BacteriaNetⓘ	positive	82.22	no
125439	spore_formation	BacteriaNetⓘ	no	98.54	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Aeromicrobium chenweiae sp. nov. and Aeromicrobium yanjiei sp. nov., isolated from Tibetan antelope (Pantholops hodgsonii) and plateau pika (Ochotona curzoniae), respectively.	Li J, Lei W, Yang J, Lu S, Jin D, Lai XH, Zhang S, Cheng Y, Mi F, Huang Y, Pu J, Dong K, Tian Z, Wu X, Huang Y, Wang S, Xu J	Int J Syst Evol Microbiol	10.1099/ijsem.0.004331	2020

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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 yanjiei (CGMCC 1.17444, JCM 33790)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_009649075

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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