Amycolatopsis viridis (DSM 45668, NCIMB 14700, NRRL B-24837)

Name: Amycolatopsis viridis (DSM 45668, NCIMB 14700, NRRL B-24837)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13277

Status isotype of 13278

Type strain

Strain Designation GY 115

Culture col. no. DSM 45668 NCIMB 14700 NRRL B-24837 GY 115

NCBI tax ID(s) 185678

Special Collections DSMZ Literature strains

History DSMZ <- G. Y. A. Tan; GY 115

Links

Amycolatopsis viridis GY 115 is an aerobe, Gram-positive, coccus-shaped bacterium that was isolated from arid composite soil sample.

Gram-positive coccus-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 398520

NCIMB 14700,DSM 45806,DSM 45668

@ref 20215

Last LPSN update 2026-05-29 08:28:00

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Pseudonocardiales

Family Pseudonocardiaceae

Genus Amycolatopsis

Species Amycolatopsis viridis

Full scientific name Amycolatopsis viridis Zucchi et al. 2012

BacDive ID	Other strains from **Amycolatopsis viridis** (1)	Type strain
13278	A. viridis GY115, DSM 45806, NCIMB 14700, NRRL B-24837 (type strain)

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
30091	positive	coccus-shaped
125438			91
125438	positive		90.61
125439	positive		99.518

Pigmentation

30091

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
18033	GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)		Medium recipe at MediaDive	Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
18033	positive	growth	28
30091	positive	growth	10-50

Culture pH

@ref	Ability	Type	PH	PH range
30091	positive	growth	5.0-10.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30091	aerobe
125438	aerobe	90.148
125439	obligate aerobe	99.832

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30091	22599 ChEBI	arabinose	+	carbon source
30091	28260 ChEBI	galactose	+	carbon source
30091	17716 ChEBI	lactose	+	carbon source
30091	27082 ChEBI	trehalose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30091	catalase	+	1.11.1.6

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil
#Climate	#Hot	#Arid

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
18033	arid composite soil sample	Australia	AUS	Australia and Oceania

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
18033	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
66792	ASM1175876v1 assembly for Amycolatopsis viridis DSM 45668	contig	GCA_011758765	185678.3	2821236178	185678	77.62

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
18033	Amycolatopsis viridis 16S ribosomal RNA gene, partial sequence	AF466095	1391		185678

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1175876v1 assembly for Amycolatopsis viridis DSM 45668
BV-BRC: 185678.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.83	no
125439	gram_stain	BacteriaNetⓘ	positive	99.52	no
125439	spore_formation	BacteriaNetⓘ	yes	53.97	no
125439	motility	BacteriaNetⓘ	no	87.69	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Amycolatopsis viridis strain DSM 45668
PATRIC: 185678.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.61	yes
125438	anaerobic	anaerobicⓘ	no	97.89	yes
125438	spore-forming	spore-formingⓘ	yes	78.87	no
125438	aerobic	aerobicⓘ	yes	90.15	yes
125438	thermophilic	thermophileⓘ	no	94.99	yes
125438	flagellated	motile2+ⓘ	no	91.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	The Degradative Capabilities of New Amycolatopsis Isolates on Polylactic Acid.	Decorosi F, Exana ML, Pini F, Adessi A, Messini A, Giovannetti L, Viti C.	Microorganisms	10.3390/microorganisms7120590	2019
Phylogeny	Amycolatopsis thermophila sp. nov. and Amycolatopsis viridis sp. nov., thermophilic actinomycetes isolated from arid soil.	Zucchi TD, Tan GYA, Goodfellow M	Int J Syst Evol Microbiol	10.1099/ijs.0.029256-0	2011

References

#18033	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45668
#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 )
#26448	IJSEM 168 2012 ( DOI 10.1099/ijs.0.029256-0 , PubMed 21378137 )
#30091	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26448
#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) .
#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

Amycolatopsis viridis (DSM 45668, NCIMB 14700, NRRL B-24837)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_011758765

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media