Strain identifier

BacDive ID: 11000

Type strain: No

Species: Rhodococcus opacus

Strain history: <- P.R. Wallnöfer ("Rhodococcus rubrus", Nocardia sp.)

NCBI tax ID(s): 37919 (species)

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

@ref: 10906

BacDive-ID: 11000

DSM-Number: 43250

keywords: genome sequence, Bacteria, spore-forming, mesophilic

description: Rhodococcus opacus DSM 43250 is a spore-forming, mesophilic bacterium that was isolated from soil.

NCBI tax id

  • NCBI tax id: 37919
  • Matching level: species

strain history

  • @ref: 10906
  • history: <- P.R. Wallnöfer ("Rhodococcus rubrus", Nocardia sp.)

doi: 10.13145/bacdive11000.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/actinomycetota
  • domain: Bacteria
  • phylum: Actinomycetota
  • class: Actinomycetes
  • order: Mycobacteriales
  • family: Nocardiaceae
  • genus: Rhodococcus
  • species: Rhodococcus opacus
  • full scientific name: Rhodococcus opacus Klatte et al. 1995
  • synonyms

    @refsynonym
    20215Rhodococcus percolatus
    20215Rhodococcus imtechensis

@ref: 10906

domain: Bacteria

phylum: Actinobacteria

class: Actinobacteria

order: Actinomycetales

family: Nocardiaceae

genus: Rhodococcus

species: Rhodococcus opacus

full scientific name: Rhodococcus opacus Klatte et al. 1995

type strain: no

Morphology

cell morphology

@refmotilityconfidencegram stain
125438no90
12543998.6positive

multimedia

  • @ref: 10906
  • multimedia content: https://www.dsmz.de/microorganisms/photos/DSM_43250.jpg
  • caption: Medium 83 28°C
  • intellectual property rights: © Leibniz-Institut DSMZ

Culture and growth conditions

culture medium

@refnamegrowthlinkcomposition
10906TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)yeshttps://mediadive.dsmz.de/medium/535Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water
10906GYM STREPTOMYCES MEDIUM (DSMZ Medium 65)yeshttps://mediadive.dsmz.de/medium/65Name: 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: 10906
  • growth: positive
  • type: growth
  • temperature: 28

Physiology and metabolism

oxygen tolerance

  • @ref: 125439
  • oxygen tolerance: obligate aerobe
  • confidence: 96.7

Isolation, sampling and environmental information

isolation

  • @ref: 10906
  • sample type: soil

isolation source categories

  • Cat1: #Environmental
  • Cat2: #Terrestrial
  • Cat3: #Soil

Safety information

risk assessment

  • @ref: 10906
  • biosafety level: 1
  • biosafety level comment: Risk group (German classification)

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Rhodococcus opacus strain ATCC 5188237919.36wgspatric37919
66792Rhodococcus opacus ATCC 518822681812806draftimg37919

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes85.656no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no95.476no
125438spore-formingspore-formingAbility to form endo- or exosporesyes59.939no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes88.694no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno96.5no
125438motile2+flagellatedAbility to perform flagellated movementno90no
125439BacteriaNetspore_formationAbility to form endo- or exosporesyes59.6
125439BacteriaNetmotilityAbility to perform movementno86.5
125439BacteriaNetgram_stainReaction to gram-stainingpositive98.6
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe96.7

External links

@ref: 10906

culture collection no.: DSM 43250, ATCC 51882

straininfo link

  • @ref: 80254
  • straininfo: 43226

literature

topicPubmed-IDtitleauthorsjournalDOIyearmeshtopic2
Metabolism22112557Production of alpha-ketoisocaproate via free-whole-cell biotransformation by Rhodococcus opacus DSM 43250 with L-leucine as the substrate.Zhu Y, Li J, Liu L, Du G, Chen JEnzyme Microb Technol10.1016/j.enzmictec.2011.06.0082011Biotechnology/*methods, Biotransformation, Culture Media, Hydrogen-Ion Concentration, Keto Acids/*metabolism, Leucine/*metabolism, Models, Statistical, Rhodococcus/cytology/growth & development/*metabolism, Substrate Specificity, TemperatureBiotechnology
Metabolism30641383Carbon and hydrogen isotopic fractionation during abiotic hydrolysis and aerobic biodegradation of phthalate esters.Zhang D, Wu L, Yao J, Vogt C, Richnow HHSci Total Environ10.1016/j.scitotenv.2019.01.0032019Aerobiosis, Biodegradation, Environmental, Carbon Isotopes/*chemistry, Deuterium/*chemistry, Environmental Pollutants/chemistry/metabolism, Esters/metabolism, Hydrogen/*chemistry, Hydrolysis, Phthalic Acids/*metabolism, Rhodococcus/*metabolism

Reference

@idauthorscataloguedoi/urltitle
10906Curators of the DSMZLeibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 43250)https://www.dsmz.de/collection/catalogue/details/culture/DSM-43250
20215Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.10.1099/ijsem.0.004332List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ
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)
80254Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.10.60712/SI-ID43226.1StrainInfo: A central database for resolving microbial strain identifiers
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