Strain identifier

BacDive ID: 4468

Type strain: No

Species: Escherichia coli

Strain Designation: MRE-600

Strain history: <- NCIMB <- NCTC

NCBI tax ID(s): 562 (species)

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

@ref: 1502

BacDive-ID: 4468

DSM-Number: 3901

keywords: genome sequence, Bacteria, mesophilic, Gram-negative, human pathogen

description: Escherichia coli MRE-600 is a mesophilic, Gram-negative human pathogen of the family Enterobacteriaceae.

NCBI tax id

  • NCBI tax id: 562
  • Matching level: species

strain history

  • @ref: 1502
  • history: <- NCIMB <- NCTC

doi: 10.13145/bacdive4468.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/pseudomonadota
  • domain: Bacteria
  • phylum: Pseudomonadota
  • class: Gammaproteobacteria
  • order: Enterobacterales
  • family: Enterobacteriaceae
  • genus: Escherichia
  • species: Escherichia coli
  • full scientific name: Escherichia coli (Migula 1895) Castellani and Chalmers 1919 (Approved Lists 1980)
  • synonyms

    • @ref: 20215
    • synonym: Bacillus coli

@ref: 1502

domain: Bacteria

phylum: Proteobacteria

class: Gammaproteobacteria

order: Enterobacteriales, not validated

family: Enterobacteriaceae

genus: Escherichia

species: Escherichia coli

full scientific name: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

strain designation: MRE-600

type strain: no

Morphology

cell morphology

@refgram stainconfidence
125438negative99.75
125439negative99.1

Culture and growth conditions

culture medium

  • @ref: 1502
  • name: LB (Luria-Bertani) MEDIUM (DSMZ Medium 381)
  • growth: yes
  • link: https://mediadive.dsmz.de/medium/381
  • composition: Name: LB (Luria-Bertani) MEDIUM (DSMZ Medium 381) Composition: Agar 20.0 g/l NaCl 10.0 g/l Tryptone 10.0 g/l Yeast extract 5.0 g/l Distilled water

culture temp

  • @ref: 1502
  • growth: positive
  • type: growth
  • temperature: 37

Physiology and metabolism

oxygen tolerance

  • @ref: 125439
  • oxygen tolerance: aerobe
  • confidence: 96.3

spore formation

  • @ref: 125439
  • spore formation: no
  • confidence: 94.1

metabolite utilization

@refChebi-IDmetaboliteutilization activitykind of utilization tested
6836830849L-arabinose+fermentation
6836827613amygdalin-fermentation
6836828053melibiose+fermentation
6836817992sucrose-fermentation
6836862345L-rhamnose+fermentation
6836830911sorbitol+fermentation
6836817268myo-inositol-fermentation
6836816899D-mannitol+fermentation
6836817634D-glucose+fermentation
683685291gelatin-hydrolysis
6836827897tryptophan-energy source
6836816199urea-hydrolysis
6836816947citrate-assimilation
6836818257ornithine+degradation
6836825094lysine+degradation
6836829016arginine-hydrolysis

metabolite production

@refChebi-IDmetaboliteproduction
6836815688acetoinno
6836835581indoleno
6836816136hydrogen sulfideno

metabolite tests

@refChebi-IDmetabolitevoges-proskauer-testindole test
6836815688acetoin-
6836835581indole-

enzymes

@refvalueactivityec
68368cytochrome oxidase-1.9.3.1
68368gelatinase-
68368tryptophan deaminase-4.1.99.1
68368urease-3.5.1.5
68368ornithine decarboxylase+4.1.1.17
68368lysine decarboxylase+4.1.1.18
68368arginine dihydrolase-3.5.3.6
68368beta-galactosidase+3.2.1.23

API 20E

@refONPGADH ArgLDC LysODCCITH2SURETDA TrpINDVPGELGLUMANINOSorRHASACMELAMYARAOX
1502+-++-------++-++-+-+
1502+-++-------++-++-+-+-
1502+-++-------++-++-+-+-

Safety information

risk assessment

  • @ref: 1502
  • pathogenicity human: yes
  • pathogenicity animal: yes
  • biosafety level: 2
  • biosafety level comment: Risk group (German classification)

Sequence information

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Escherichia coli strain MRE600562.24414plasmidpatric562
66792Escherichia coli strain MRE600562.24413plasmidpatric562
66792Escherichia coli strain MRE600562.24412plasmidpatric562
66792Escherichia coli strain MRE600562.9022completepatric562
66792Escherichia coli strain NCTC8164562.50957wgspatric562

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno99.75no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no96.046no
125438spore-formingspore-formingAbility to form endo- or exosporesno88.493no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no59.821no
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno98no
125438motile2+flagellatedAbility to perform flagellated movementyes74.815no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno94.1
125439BacteriaNetmotilityAbility to perform movementyes82.1
125439BacteriaNetgram_stainReaction to gram-stainingnegative99.1
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthaerobe96.3

External links

@ref: 1502

culture collection no.: DSM 3901, ATCC 29417, CGSC 5260, NCIB 10115, NCTC 8164

straininfo link

  • @ref: 73959
  • straininfo: 45857

Reference

@idauthorscataloguedoi/urltitle
1502Curators of the DSMZLeibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM 3901)https://www.dsmz.de/collection/catalogue/details/culture/DSM-3901
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)
68368Automatically annotated from API 20E
73959Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.10.60712/SI-ID45857.1StrainInfo: 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