Strain identifier

BacDive ID: 166060

Type strain: No

Species: Rhodococcus sp.

Strain history: T. Kudo HA99.

NCBI tax ID(s): 402289 (species)

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

@ref: 67770

BacDive-ID: 166060

keywords: genome sequence, 16S sequence, Bacteria, aerobe, mesophilic

description: Rhodococcus sp. JCM 9789 is an aerobe, mesophilic bacterium that was isolated from Garden soil,by enrichment with biphenyl as the sole source of carbon and energy.

NCBI tax id

  • NCBI tax id: 402289
  • Matching level: species

strain history

  • @ref: 67770
  • history: T. Kudo HA99.

doi: 10.13145/bacdive166060.20250331.9.3

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 sp.
  • full scientific name: Rhodococcus Zopf 1891 (Approved Lists 1980)
  • synonyms

    @refsynonym
    20215Rhodococcoides
    20215Prescottella
    20215Prescottia

@ref: 67770

domain: Bacteria

phylum: Actinobacteria

class: Actinobacteria

order: Mycobacteriales

family: Nocardiaceae

genus: Rhodococcus

species: Rhodococcus sp.

full scientific name: Rhodococcus sp.

type strain: no

Morphology

cell morphology

@refgram stainconfidencemotility
125439positive96.4
12543892no

Culture and growth conditions

culture temp

  • @ref: 67770
  • growth: positive
  • type: growth
  • temperature: 30

Physiology and metabolism

oxygen tolerance

@refoxygen toleranceconfidence
125438aerobe90.925
125439obligate aerobe98.6

observation

  • @ref: 67770
  • observation: quinones: MK-8(H2)

Isolation, sampling and environmental information

isolation

  • @ref: 67770
  • sample type: Garden soil,by enrichment with biphenyl as the sole source of carbon and energy
  • geographic location: Saitama Pref.
  • country: Japan
  • origin.country: JPN
  • continent: Asia

Sequence information

16S sequences

  • @ref: 67770
  • description: Rhodococcus sp. DNA for 16S rRNA, partial sequence
  • accession: D87092
  • length: 890
  • database: nuccore
  • NCBI tax ID: 1831

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Rhodococcus sp. HA99 JCM 9789GCA_001312925contigncbi402289
66792Rhodococcus sp. HA99 strain JCM 9789402289.3wgspatric402289
66792Rhodococcus sp. JCM 97892734481922draftimg402289

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes87.904no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no98.424no
125438spore-formingspore-formingAbility to form endo- or exosporesno58.309no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno97yes
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes90.925no
125438motile2+flagellatedAbility to perform flagellated movementno92no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno56.6
125439BacteriaNetmotilityAbility to perform movementno81.3
125439BacteriaNetgram_stainReaction to gram-stainingpositive96.4
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe98.6

External links

@ref: 67770

culture collection no.: JCM 9789

Reference

@idauthorstitledoi/url
20215Parte, 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 DSMZ10.1099/ijsem.0.004332
66792Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg OvermannAutomatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information)https://diaspora-project.de/progress.html#genomes
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
125438Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg OvermannPredicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets10.1101/2024.08.12.607695
125439Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardydeepG: Deep Learning for Genome Sequence Data. R package version 0.3.1https://github.com/GenomeNet/deepG