Aeromicrobium phragmitis (CGMCC 1.13876, JCM 33141)

Name: Aeromicrobium phragmitis (CGMCC 1.13876, JCM 33141)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164462

Type strain

Culture col. no. CGMCC 1.13876 JCM 33141

NCBI tax ID(s) 2478914

Special Collections JCM

History JCM <-- C.-H. Sun; Chin. Acad. of Med. Sci., China; 9W16Y-2.

Links

Aeromicrobium phragmitis JCM 33141 is a bacterium that was isolated from Surface-sterilized leaves of reed from Taklamakan Desert.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 132656

JCM 33141

@ref 20215

Last LPSN update 2026-05-29 08:45:25

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Propionibacteriales

Family Nocardioidaceae

Genus Aeromicrobium

Species Aeromicrobium phragmitis

Full scientific name Aeromicrobium phragmitis Li et al. 2021

Synonyms (1)

"Aeromicrobium endophyticum"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	91.093

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	96.287

Spore formation

@ref	Spore formation	Confidence
125439		92.671

Observation

67770

Observationquinones: MK-9(H₄)

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
67770	Surface-sterilized leaves of reed (Phragmites australis) from Taklamakan Desert	Phragmites australis	Xinjiang Uygur Autonomous Region	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence MK238381 (>99% sequence identity) for Aeromicrobium from Microbeatlas

Aquatic Samples	10
Soil Samples	17
Animal Samples	76
Plant Samples	3
Total Samples	106

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM367409v1 assembly for Aeromicrobium phragmitis 9W16Y-2	contig	GCA_003674095	2478914.3	2837575946	2478914	12.26

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Aeromicrobium phragmitis 16S ribosomal RNA gene, partial sequence	MK238381	1481		2292704

GC content

@ref	GC-content (mol%)	Method
67770	68.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM367409v1 assembly for Aeromicrobium phragmitis 9W16Y-2
NCBI: GCA_003674095

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.29	no
125439	gram_stain	BacteriaNetⓘ	positive	87.16	no
125439	motility	BacteriaNetⓘ	no	71.86	no
125439	spore_formation	BacteriaNetⓘ	no	92.67	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aeromicrobium phragmitis 9W16Y-2
NCBI: GCA_003674095.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.09	no
125438	anaerobic	anaerobicⓘ	no	95.21	no
125438	aerobic	aerobicⓘ	yes	85.91	no
125438	spore-forming	spore-formingⓘ	no	61.83	no
125438	thermophilic	thermophileⓘ	no	90.33	no
125438	flagellated	motile2+ⓘ	no	71.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Aeromicrobium endophyticum sp. nov., an endophytic actinobacterium isolated from reed (Phragmites australis).	Li FN, Liao SL, Liu SW, Jin T, Sun CH	J Microbiol	10.1007/s12275-019-8705-7	2019

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;
#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 )

Content

About us

Aeromicrobium phragmitis (CGMCC 1.13876, JCM 33141)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003674095

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media