Strain identifier

BacDive ID: 134102

Type strain: Yes

Species: Mycoplasma amphoriforme

Strain Designation: A39

NCBI tax ID(s): 273136 (species)

For citation purpose refer to the digital object identifier (doi) of the current version.
Archive
version 9.3 (current version):
version 9.2:
version 9.1:
version 9:
version 8.1:
version 8:
version 7.1:
version 7:
version 6:
version 5:
version 4.1:
version 4:
version 3:
version 2.1:
version 9.3 (current version)

General

@ref: 31307

BacDive-ID: 134102

keywords: genome sequence, 16S sequence, Bacteria, facultative anaerobe, mesophilic

description: Mycoplasma amphoriforme A39 is a facultative anaerobe, mesophilic bacterium that was isolated from human - mouth.

NCBI tax id

  • NCBI tax id: 273136
  • Matching level: species

doi: 10.13145/bacdive134102.20250331.9.3

Name and taxonomic classification

LPSN

  • @ref: 20215
  • description: domain/bacteria
  • keyword: phylum/mycoplasmatota
  • domain: Bacteria
  • phylum: Mycoplasmatota
  • class: Mollicutes
  • order: Mycoplasmatales
  • family: Mycoplasmataceae
  • genus: Mycoplasma
  • species: Mycoplasma amphoriforme
  • full scientific name: Mycoplasma amphoriforme Pitcher et al. 2005
  • synonyms

    • @ref: 20215
    • synonym: Mycoplasmoides amphoriforme

@ref: 31307

domain: Bacteria

phylum: Tenericutes

class: Mollicutes

order: Mycoplasmatales

family: Mycoplasmataceae

genus: Mycoplasma

species: Mycoplasma amphoriforme

strain designation: A39

type strain: yes

Morphology

cell morphology

@refgram stainconfidencemotility
125439negative99.6
12543894.538no

Culture and growth conditions

culture temp

  • @ref: 31307
  • growth: positive
  • type: optimum
  • temperature: 37

Physiology and metabolism

oxygen tolerance

@refoxygen toleranceconfidence
31307facultative anaerobe
125439obligate aerobe97.5

spore formation

@refspore formationconfidence
125439no99.1
125438no94.9

metabolite utilization

  • @ref: 31307
  • Chebi-ID: 17234
  • metabolite: glucose
  • utilization activity: +
  • kind of utilization tested: carbon source

Isolation, sampling and environmental information

isolation

  • @ref: 31307
  • sample type: human - mouth

isolation source categories

Cat1Cat2Cat3
#Host#Human
#Host Body-Site#Oral cavity and airways#Mouth

taxonmaps

  • @ref: 69479
  • File name: preview.99_78591.png
  • url: https://microbeatlas.org/index.html?action=taxon&taxon_id=90_63;96_33162;97_42023;98_54856;99_78591&stattab=map
  • Last taxonomy: Mycoplasma amphoriforme subclade
  • 16S sequence: AY531655
  • Sequence Identity:
  • Total samples: 442
  • soil counts: 4
  • aquatic counts: 3
  • animal counts: 433
  • plant counts: 2

Sequence information

16S sequences

@refdescriptionaccessionlengthdatabaseNCBI tax ID
31307Mycoplasma amphoriforme strain A39 16S ribosomal RNA gene, partial sequenceAY5316551511nuccore572419
124043Mycoplasma amphoriforme strain A39 16S ribosomal RNA gene, partial sequence.HM2354231504nuccore572419
124043Mycoplasma amphoriforme A39 16S-23S ribosomal RNA intergenic spacer, partial sequence.HM235424367nuccore572419

Genome sequences

@refdescriptionaccessionassembly leveldatabaseNCBI tax ID
66792Mycoplasma amphoriforme A39572419.3completepatric572419
66792Mycoplasma amphoriforme A39572419.4completepatric572419
66792Mycoplasma amphoriforme A39GCA_000723365completencbi572419

GC content

  • @ref: 31307
  • GC-content: 34

Genome-based predictions

predictions

@refmodeltraitdescriptionpredictionconfidencetraining_data
125438gram-positivegram-positivePositive reaction to Gram-stainingyes66.637no
125438anaerobicanaerobicAbility to grow under anoxygenic conditions (including facultative anaerobes)no76.792no
125438spore-formingspore-formingAbility to form endo- or exosporesno94.9no
125438aerobicaerobicAbility to grow under oxygenic conditions (including facultative aerobes)no88.449yes
125438thermophilethermophilicAbility to grow at temperatures above or equal to 45°Cno96.525yes
125438motile2+flagellatedAbility to perform flagellated movementno94.538no
125439BacteriaNetspore_formationAbility to form endo- or exosporesno99.1
125439BacteriaNetmotilityAbility to perform movementno65.2
125439BacteriaNetgram_stainReaction to gram-stainingnegative99.6
125439BacteriaNetoxygen_toleranceOxygenic conditions needed for growthobligate aerobe97.5

External links

@ref: 31307

culture collection no.: NCTC 11740, ATCC BAA-992

literature

  • topic: Phylogeny
  • Pubmed-ID: 16280532
  • title: Mycoplasma amphoriforme sp. nov., isolated from a patient with chronic bronchopneumonia.
  • authors: Pitcher DG, Windsor D, Windsor H, Bradbury JM, Yavari C, Jensen JS, Ling C, Webster D
  • journal: Int J Syst Evol Microbiol
  • DOI: 10.1099/ijs.0.63269-0
  • year: 2005
  • mesh: Bronchopneumonia/*microbiology, Chronic Disease, Humans, Molecular Sequence Data, Mycoplasma/classification/genetics/*isolation & purification, RNA, Ribosomal, 16S/*analysis/genetics, Sequence Analysis, DNA, Sputum/microbiology
  • topic2: Pathogenicity

Reference

@idauthorstitledoi/urlID_cross_referencepubmed
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
31307Barberan A, Caceres Velazquez H, Jones S, Fierer N.Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information10.1128/mSphere.00237-172762228776041
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
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/
124043Isabel Schober, Julia KoblitzData extracted from sequence databases, automatically matched based on designation and taxonomy
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