Strain identifier

BacDive ID: 164261

Type strain: No

Species: Pseudomonas pyomelaninifaciens

Strain history: R. Chakraborty; Dept. of Biotechnol., Univ. of North Bengal, India; MR 02.

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

@ref: 67770

BacDive-ID: 164261

keywords: genome sequence, 16S sequence, aerobe, mesophilic, Gram-negative

description: Pseudomonas pyomelaninifaciens JCM 32458 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from Mahananda River at Siliguri.

strain history

  • @ref: 67770
  • history: R. Chakraborty; Dept. of Biotechnol., Univ. of North Bengal, India; MR 02.

doi: 10.13145/bacdive164261.20250331.9.3

Name and taxonomic classification

@ref: 67770

phylum: Not assigned to order

class: Not assigned to order

order: Not assigned to order

family: Not assigned to family

genus: Pseudomonas

species: Pseudomonas pyomelaninifaciens

full scientific name: Pseudomonas pyomelaninifaciens

type strain: no

Morphology

cell morphology

@refgram stainconfidence
125439negative98.5
125438negative99

Culture and growth conditions

culture temp

  • @ref: 67770
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

oxygen tolerance

  • @ref: 125438
  • oxygen tolerance: aerobe
  • confidence: 93.875

spore formation

  • @ref: 125439
  • spore formation: no
  • confidence: 99.2

Isolation, sampling and environmental information

isolation

  • @ref: 67770
  • sample type: Mahananda River at Siliguri
  • geographic location: West Bengal
  • country: India
  • origin.country: IND
  • continent: Asia

taxonmaps

  • @ref: 69479
  • File name: preview.99_239.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_23;96_61;97_89;98_203;99_239&stattab=map
  • Last taxonomy: Pseudomonas
  • 16S sequence: MF401548
  • Sequence Identity:
  • Total samples: 2133
  • soil counts: 368
  • aquatic counts: 543
  • animal counts: 799
  • plant counts: 423

Sequence information

16S sequences

  • @ref: 67770
  • description: Pseudomonas sp. MR 02 16S ribosomal RNA gene, partial sequence
  • accession: MF401548
  • length: 1501
  • database: nuccore
  • NCBI tax ID: 2048282

Genome sequences

  • @ref: 67770
  • description: Pseudomonas sp. MR 02
  • accession: GCA_002797475
  • assembly level: scaffold
  • database: ncbi
  • NCBI tax ID: 2048282

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno99no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no99.661no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes93.875no
125438spore-formingspore-formingAbility to form endo- or exosporesno86.59no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno98.986no
125438motile2+flagellatedAbility to perform flagellated movementyes87.939no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno99.2
125439BacteriaNetmotilityAbility to perform movementyes89.2
125439BacteriaNetgram_stainReaction to gram-stainingnegative98.5
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe83.8

External links

@ref: 67770

culture collection no.: JCM 32458, KCTC 62307

Reference

@idauthorsdoi/urltitle
67770Curators of the JCMhttps://jcm.brc.riken.jp/en/
69479João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.https://microbeatlas.org/MicrobeAtlas 1.0 beta
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