Cellulomonas sp. (DSM 100724, A375-1)

Name: Cellulomonas sp. (DSM 100724, A375-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169366

Type strain

Strain Designation A375-1

Culture col. no. DSM 100724 A375-1

NCBI tax ID(s) 40001

Special Collections DSMZ

History <- G. Suen, Dept. Bacteriology, Univ. Wisconsin-Madison, USA; A375-1

Links

A375-1 is a bacterium that was isolated from marsh soil collected 1 km northwest of the Univ. of Wisconsin-Madison.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 402649

DSM 100724

@ref 20215

Last LPSN update 2026-02-09 11:41:01

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Cellulomonadaceae

Genus Cellulomonas

Full scientific name Cellulomonas Bergey et al. 1923 (Approved Lists 1980)

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99
125438	positive	91.909

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
68637	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
68637	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent	Latitude	Longitude
68637	marsh soil collected 1 km northwest of the Univ. of Wisconsin-Madison	USA	USA	North America	43.0667	-89.4167 43.0667/-89.4167

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM104086v1 assembly for Cellulomonas sp. A375-1	scaffold	GCA_001040865	1672219.3	2639762839	1672219	4.13

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Cellulomonas sp. A375-1
NCBI: GCA_001040865

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	60.20	no
125439	motility	BacteriaNetⓘ	no	69.30	no
125439	gram_stain	BacteriaNetⓘ	positive	99.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cellulomonas sp. A375-1 A375-1
NCBI: GCA_001040865.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.91	no
125438	anaerobic	anaerobicⓘ	no	94.64	no
125438	aerobic	aerobicⓘ	yes	63.22	no
125438	spore-forming	spore-formingⓘ	no	64.93	no
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	no	67.50	no

Literature

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) .
#68637	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100724
#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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