Strain identifier

BacDive ID: 136829

Type strain: No

Species: Achromobacter mucicolens

Strain history: CIP <- 1960, R. Hugh: strain 228-3, Achromobacter xylosoxidans denitrificans

NCBI tax ID(s): 1389922 (species)

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General

@ref: 36500

BacDive-ID: 136829

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

description: Achromobacter mucicolens CIP 60.81 is an aerobe, mesophilic, Gram-negative bacterium that was isolated from Buccal carvity of patient with laryngeal cancer.

NCBI tax id

  • NCBI tax id: 1389922
  • Matching level: species

strain history

@refhistory
67770IAM 12594 <-- CIP 60.81 <-- P. Thibault <-- R. Hugh 1323 (628-3).
67770R. Hugh 1323.
36500CIP <- 1960, R. Hugh: strain 228-3, Achromobacter xylosoxidans denitrificans

doi: 10.13145/bacdive136829.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/pseudomonadota
  • domain: Bacteria
  • phylum: Pseudomonadota
  • class: Betaproteobacteria
  • order: Burkholderiales
  • family: Alcaligenaceae
  • genus: Achromobacter
  • species: Achromobacter mucicolens
  • full scientific name: Achromobacter mucicolens Vandamme et al. 2013

@ref: 36500

domain: Bacteria

phylum: Proteobacteria

class: Betaproteobacteria

order: Burkholderiales

family: Alcaligenaceae

genus: Achromobacter

species: Achromobacter mucicolens

type strain: no

Morphology

cell morphology

@refgram stainconfidencecell shapemotility
125438negative96.418
36500negativerod-shapedyes

colony morphology

  • @ref: 36500

Culture and growth conditions

culture medium

@refnamegrowthcompositionlink
36500MEDIUM 3 - Columbia agaryesColumbia agar (39.000 g);distilled water (1000.000 ml)
36500CIP Medium 3yeshttps://catalogue-crbip.pasteur.fr/fiche_milieu.xhtml?crbip=3

culture temp

@refgrowthtypetemperature
36500positivegrowth37
67770positivegrowth30
36500positivegrowth15-41
36500nogrowth5
36500nogrowth45

Physiology and metabolism

oxygen tolerance

@refoxygen toleranceconfidence
36500obligate aerobe
125438aerobe91.047
125439obligate aerobe93.5

spore formation

@refspore formationconfidence
125439no91.7
36500no

halophily

@refsaltgrowthtested relationconcentration
36500NaClpositivegrowth0-8 %
36500NaClnogrowth10 %

metabolite utilization

@refChebi-IDmetaboliteutilization activitykind of utilization tested
3650016947citrate+carbon source
365004853esculin-hydrolysis
36500606565hippurate-hydrolysis
3650017632nitrate+builds gas from
3650017632nitrate+reduction
3650016301nitrite+builds gas from
3650016301nitrite+reduction
3650015792malonate-assimilation
3650017632nitrate+respiration

antibiotic resistance

  • @ref: 36500
  • metabolite: 0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)
  • is antibiotic: yes
  • is sensitive: no
  • is resistant: yes

metabolite production

  • @ref: 36500
  • Chebi-ID: 35581
  • metabolite: indole
  • production: no

metabolite tests

@refChebi-IDmetabolitevoges-proskauer-testmethylred-test
3650015688acetoin-
3650017234glucose-

enzymes

@refvalueactivityec
68382alpha-fucosidase-3.2.1.51
68382alpha-mannosidase-3.2.1.24
68382N-acetyl-beta-glucosaminidase-3.2.1.52
68382beta-glucosidase-3.2.1.21
68382alpha-glucosidase-3.2.1.20
68382beta-glucuronidase-3.2.1.31
68382beta-galactosidase-3.2.1.23
68382alpha-galactosidase-3.2.1.22
68382naphthol-AS-BI-phosphohydrolase+
68382alpha-chymotrypsin-3.4.21.1
68382acid phosphatase+3.1.3.2
68382trypsin-3.4.21.4
68382valine arylamidase-
68382leucine arylamidase+3.4.11.1
68382lipase (C 14)-
68382esterase lipase (C 8)+
68382esterase (C 4)+
68382alkaline phosphatase+3.1.3.1
36500oxidase+
36500beta-galactosidase-3.2.1.23
36500alcohol dehydrogenase-1.1.1.1
36500gelatinase-
36500amylase-
36500DNase-
36500caseinase-3.4.21.50
36500catalase+1.11.1.6
36500tween esterase-
36500gamma-glutamyltransferase-2.3.2.2
36500lecithinase-
36500lipase-
36500lysine decarboxylase-4.1.1.18
36500ornithine decarboxylase-4.1.1.17
36500phenylalanine ammonia-lyase-4.3.1.24
36500protease-
36500tryptophan deaminase-
36500urease-3.5.1.5
68382cystine arylamidase-3.4.11.3

API zym

@refControlAlkaline phosphataseEsteraseEsterase LipaseLipaseLeucine arylamidaseValine arylamidaseCystine arylamidaseTrypsinalpha- ChymotrypsinAcid phosphataseNaphthol-AS-BI-phosphohydrolasealpha- Galactosidasebeta- Galactosidasebeta- Glucuronidasealpha- Glucosidasebeta- GlucosidaseN-acetyl-beta- glucosaminidasealpha- Mannosidasealpha- Fucosidase
36500-+++-+----++--------

API biotype100

@refGLUFRUGALTREMNESBEMELSACRAFMTEMALLACLTEMbGaMaGaCELGENMbGuESCRIBARAXYLPLERHAFUCMLZDARLLARLXLTDULTAGGLYINOMANMTLTURSORADOHBGLYXERYMDG3MDGSATMUCLTATDTATMTATDMLTLMLTCATETATETTECITGRTGAT2KG5KGTRYNAGGNTPACPATpOBEQATGTEmOBEBATPPATCMTTGEBETPCEABTHINLATCAPCYTHISSUCFUMGREGYTAVTETNTTNGLNITA3OBUAPTGTTPRODALALALASERMNTPROPTYR2KT
36500--------------------------------------+----+----+++-++----+-++---+-------+-+--+++-+-----++++----+++

Isolation, sampling and environmental information

isolation

@refsample typeisolation date
67770Buccal carvity of patient with laryngeal cancer
36500Human, Buccal cavity with laryngeal cancer1957

taxonmaps

  • @ref: 69479
  • File name: preview.99_710.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_7;96_9;97_9;98_570;99_710&stattab=map
  • Last taxonomy: Achromobacter
  • 16S sequence: LC506136
  • Sequence Identity:
  • Total samples: 1520
  • soil counts: 273
  • aquatic counts: 362
  • animal counts: 742
  • plant counts: 143

Safety information

risk assessment

  • @ref: 36500
  • biosafety level: 1
  • biosafety level comment: Risk group (French classification)

Sequence information

16S sequences

  • @ref: 67770
  • description: Achromobacter denitrificans JCM 9658 gene for 16S ribosomal RNA, partial sequence
  • accession: LC506136
  • length: 1453
  • database: nuccore
  • NCBI tax ID: 32002

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Achromobacter mucicolens LMG 3415GCA_902859995contigncbi1389922
66792Achromobacter mucicolens strain LMG 34151389922.7wgspatric1389922

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingno96.418no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no98.129yes
125438spore-formingspore-formingAbility to form endo- or exosporesno89.744no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)yes91.047yes
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno98.893yes
125438motile2+flagellatedAbility to perform flagellated movementyes86.605no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno91.7
125439BacteriaNetmotilityAbility to perform movementyes68.7
125439BacteriaNetgram_stainReaction to gram-stainingnegative89.7
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe93.5

External links

@ref: 36500

culture collection no.: CIP 60.81, ATCC 13138, JCM 20671, IAM 12594, LMG 3415, JCM 9658

Reference

@idauthorstitledoi/urlcatalogue
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
36500Curators of the CIPhttps://catalogue-crbip.pasteur.fr/fiche_catalogue.xhtml?crbip=CIP%2060.81Collection of Institut Pasteur (CIP 60.81)
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/
68382Automatically annotated from API zym
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.MicrobeAtlas 1.0 betahttps://microbeatlas.org/
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