Streptomyces triculaminicus (JCM 4242)

Name: Streptomyces triculaminicus (JCM 4242)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164957

Type strain

Culture col. no. JCM 4242

NCBI tax ID(s) 2816232

Special Collections JCM

History KCC S-0242 <-- S. Suzuki 42-66.

Links

Streptomyces triculaminicus JCM 4242 is a prokaryote of the family Not assigned to family.

genome sequence

Name and taxonomic classification

SI-ID 64347

JCM 4242

@ref 67770

Phylum Not assigned to order

Class Not assigned to order

Order Not assigned to order

Family Not assigned to family

Genus Streptomyces

Species Streptomyces triculaminicus

Full scientific name Streptomyces triculaminicus

Type strain no

Morphology

Cell morphology

@ref	Confidence	Gram stain
125438	91.5
125439	99.9	positive
125439	92.2

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.218
125439	obligate aerobe	99.3

Spore formation

@ref	Spore formation	Confidence
125438		91.591
125439		95

Compound production

67770

CompoundTriculamin

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1734907v1 assembly for Streptomyces triculaminicus JCM 4242	contig	GCA_017349075	2816232.3	8048327873	2816232	75.97

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Streptomyces triculaminicus JCM 4242
NCBI: GCA_017349075

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	95.00	no
125439	motility	BacteriaNetⓘ	no	92.20	no
125439	gram_stain	BacteriaNetⓘ	positive	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptomyces triculaminicus strain JCM 4242
PATRIC: 2816232.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.58	no
125438	anaerobic	anaerobicⓘ	no	96.89	no
125438	spore-forming	spore-formingⓘ	yes	91.59	no
125438	thermophilic	thermophileⓘ	no	96.00	yes
125438	aerobic	aerobicⓘ	yes	90.22	no
125438	flagellated	motile2+ⓘ	no	91.50	no

Literature

References

#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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