Strain identifier

BacDive ID: 136347

Type strain: No

Species: Nocardia violaceofusca

Strain Designation: 78-N26

Strain history: CIP <- 1996, IFO <- 1985, J. Ruan: strain 78-N26

For citation purpose refer to the digital object identifier (doi) of the current version.
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General

@ref: 35732

BacDive-ID: 136347

keywords: genome sequence, mesophilic, Gram-positive

description: Nocardia violaceofusca 78-N26 is a mesophilic, Gram-positive prokaryote of the family Not assigned to family.

NCBI tax id

NCBI tax idMatching level
1223550strain
941182species

strain history

@refhistory
67770J. Ruan 78-N26.
35732CIP <- 1996, IFO <- 1985, J. Ruan: strain 78-N26

doi: 10.13145/bacdive136347.20250331.9.3

Name and taxonomic classification

@ref: 35732

phylum: Not assigned to order

class: Not assigned to order

order: Not assigned to order

family: Not assigned to family

genus: Nocardia

species: Nocardia violaceofusca

strain designation: 78-N26

type strain: no

Morphology

cell morphology

@refgram stainconfidence
125438positive91.673
125439positive94.5

Culture and growth conditions

culture medium

@refnamegrowthcompositionlink
35732MEDIUM 116 - for Streptomyces, Nocardia, Streptosporangium and Mycobacterium chlorophenolicumyesDistilled water make up to (1000.000 ml);Agar (20.000 g);Glucose (4.000g);Yeast extract (4.000 g);Malt extract (10.000 g)
35732CIP Medium 194yeshttps://catalogue-crbip.pasteur.fr/fiche_milieu.xhtml?crbip=194
35732CIP Medium 116yeshttps://catalogue-crbip.pasteur.fr/fiche_milieu.xhtml?crbip=116

culture temp

@refgrowthtypetemperature
35732positivegrowth30
67770positivegrowth28

Physiology and metabolism

oxygen tolerance

  • @ref: 125439
  • oxygen tolerance: obligate aerobe
  • confidence: 99.1

Isolation, sampling and environmental information

isolation

@refcountryorigin.countrycontinentsample type
35732ChinaCHNAsia
67770ChinaCHNAsiaSoil
35732ChinaCHNAsiaEnvironment, Soil

Safety information

risk assessment

  • @ref: 35732
  • biosafety level: 2
  • biosafety level comment: Risk group (French classification)

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Nocardia violaceofusca NBRC 144271223550.4wgspatric1223550
66792Nocardia violaceofusca NBRC 144272731957758draftimg1223550
67770Nocardia violaceofusca NBRC 14427GCA_001613525contigncbi1223550

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe99.1
125439BacteriaNetgram_stainReaction to gram-stainingpositive94.5
125439BacteriaNetmotilityAbility to perform movementno75.2
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes61.7
125438gram-positivegram-positivePositive reaction to Gram-stainingyes91.673no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no98.14no
125438spore-formingspore-formingAbility to form endo- or exosporesyes65.974no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes88.883no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno95.9yes
125438motile2+flagellatedAbility to perform flagellated movementno89.5no

External links

@ref: 35732

culture collection no.: CIP 104780, IFO 14427, JCM 3343, NRRL B-16250, BCRC 13736, IFM 0857, IMSNU 21206, NBRC 14427

Reference

@idauthorscataloguedoi/urltitle
35732Curators of the CIPCollection of Institut Pasteur (CIP 104780)https://catalogue-crbip.pasteur.fr/fiche_catalogue.xhtml?crbip=CIP%20104780
66792Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmannhttps://diaspora-project.de/progress.html#genomesAutomatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
125438Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann10.1101/2024.08.12.607695Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets
125439Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardyhttps://github.com/GenomeNet/deepGdeepG: Deep Learning for Genome Sequence Data. R package version 0.3.1