Mycoplasmoides pneumoniae (DSM 23979, ATCC 29342, M129)

Name: Mycoplasmoides pneumoniae (DSM 23979, ATCC 29342, M129)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8616

Type strain

Strain Designation M129, M129-B7

Culture col. no. DSM 23979 ATCC 29342 M129 M129-B7

NCBI tax ID(s) 2104

Special Collections DSMZ

History DSMZ <- R. Herrmann, ZMBH, Univ. of Heidelberg, Germany; M129 <- I. Kahane, Hebrew Univ. - Hadassah, Jerusalem, Israel <- J. Baseman, University of Texas Health Science Center, Dept. of Microbiology and Immunology, USA <- W.A. Clyde, University of North Carolina, School of Medicine

Links

Mycoplasmoides pneumoniae M129 is an aerobe bacterium that was isolated from patient with pneumonia.

aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 39480

DSM 23979,ATCC 29342

@ref 20215

Last LPSN update 2026-05-29 08:26:54

Domain Bacteria

Phylum Mycoplasmatota

Class Mollicutes

Order Mycoplasmoidales

Family Mycoplasmoidaceae

Genus Mycoplasmoides

Species Mycoplasmoides pneumoniae

Full scientific name Mycoplasmoides pneumoniae (Somerson et al. 1963) Gupta et al. 2018

Synonyms (2)

Mycoplasma pneumoniae
"Schizoplasma pneumoniae"

BacDive ID	Other strains from **Mycoplasmoides pneumoniae** (1)	Type strain
8615	M. pneumoniae FH, DSM 23978, ATCC 15531, Eaton Agent, NCTC ... (type strain)

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		95.171
125439		98.293	negative

Colony morphology

17470

Incubation period1-2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17470	SP4-Z MEDIUM (DSMZ Medium 1076b)		Medium recipe at MediaDive	Name: SP4-Z MEDIUM (DSMZ Medium 1076b) Composition: Agar 10.0 g/l Tryptone 10.0 g/l Bacto peptone 5.0 g/l PPLO broth 3.5 g/l Urea 2.0 g/l Glucose 1.0 g/l None 1.0 g/l Yeast extract 0.4 g/l DNA 0.2 g/l CMRL 1066 Fetal bovine serum Swine serum Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
17470	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
17470	aerobe
125439	facultative anaerobe	92.9

Spore formation

@ref	Spore formation	Confidence
125438		95.861
125439		99.768

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Disease	-
#Infection	#Patient	-
#Host Body-Site	#Oral cavity and airways	#Lung

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
17470	patient with pneumonia	Homo sapiens	USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence AF132741 (>99% sequence identity) for Mycoplasma pneumoniae from Microbeatlas

Aquatic Samples	113
Soil Samples	32
Animal Samples	1165
Plant Samples	5
Total Samples	1315

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17470	2	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM33108v2 assembly for Mycoplasmoides pneumoniae M129-B7	complete	GCA_000331085	1238993.3	2521172699	1238993	99.05
66792	ASM2734v1 assembly for Mycoplasmoides pneumoniae M129 M129; ATCC 29342	complete	GCA_000027345	272634.6	637000183	272634	99.04

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Mycoplasma pneumoniae strain ATCC 29342 16S ribosomal RNA gene and 16S-23S rRNA intergenic spacer, complete sequence	AF132741	1740		2104
20218	Mycoplasma pneumoniae strain ATCC 29342 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence	AY816340	861		2104

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM33108v2 assembly for Mycoplasmoides pneumoniae M129-B7
BV-BRC: 1238993.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	92.90	no
125439	gram_stain	BacteriaNetⓘ	negative	98.29	no
125439	motility	BacteriaNetⓘ	no	75.84	no
125439	spore_formation	BacteriaNetⓘ	no	99.77	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycoplasma pneumoniae M129
PATRIC: 272634.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	63.52	no
125438	anaerobic	anaerobicⓘ	no	87.58	yes
125438	spore-forming	spore-formingⓘ	no	95.86	no
125438	thermophilic	thermophileⓘ	no	97.33	yes
125438	aerobic	aerobicⓘ	no	83.74	no
125438	flagellated	motile2+ⓘ	no	95.17	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Phenotypic and genotypic antimicrobial susceptibility patterns of the emerging human respiratory pathogen Mycoplasma amphoriforme isolated from the UK and Denmark.	Day J, Afshar B, Rowlands RS, Umer TS, Windsor H, Paukner S, Jensen JS, Spiller OB, Chalker VJ, Beeton ML, ESCMID Study Group for Mycoplasma and Chlamydia Infections (ESGMAC).	J Antimicrob Chemother	10.1093/jac/dkac293	2022
	The novel pleuromutilin derivative 22-((4-((4-nitrophenyl)acetamido)phenyl)thio)deoxy pleuromutilin possesses robust anti-mycoplasma activity both in vitro and in vivo.	Xia X, Ji X, Li Y, Wang Y, Zhao Y, Wang W, Ding H.	Front Pharmacol	10.3389/fphar.2024.1491223	2024
Genetics	Increased macrolide resistance rate of Mycoplasma pneumoniae correlated with epidemic in Beijing, China in 2023.	Chen Y, Jia X, Gao Y, Ren X, Du B, Zhao H, Feng Y, Xue G, Cui J, Gan L, Feng J, Fan Z, Fu T, Xu Z, Yu Z, Yang Y, Zhao S, Huang L, Ke Y, Cao L, Yan C, Yuan J.	Front Microbiol	10.3389/fmicb.2024.1449511	2024
	ERA-CRISPR/Cas12a system: a rapid, highly sensitive and specific assay for Mycobacterium tuberculosis.	Gan T, Yu J, Deng Z, He J.	Front Cell Infect Microbiol	10.3389/fcimb.2024.1454076	2024
	Novel mechanisms of macrolide resistance revealed by in vitro selection and genome analysis in Mycoplasma pneumoniae.	Wang N, Xu X, Xiao L, Liu Y.	Front Cell Infect Microbiol	10.3389/fcimb.2023.1186017	2023
	The protective effect and immunomodulatory ability of orally administrated Lacticaseibacillus rhamnosus GG against Mycoplasma pneumoniae infection in BALB/c mice.	Long H, He G, He J, Du TF, Feng P, Zhu C.	PLoS One	10.1371/journal.pone.0312318	2024
	Evaluation of a real-time method of simultaneous amplification and testing in diagnosis of Mycoplasma pneumoniae infection in children with pneumonia.	Li W, Fang YH, Shen HQ, Yang DH, Shu Q, Shang SQ.	PLoS One	10.1371/journal.pone.0177842	2017
Pathogenicity	The effects of magainin 2-derived and rationally designed antimicrobial peptides on Mycoplasma pneumoniae.	Hayashi K, Misawa T, Goto C, Demizu Y, Hara-Kudo Y, Kikuchi Y.	PLoS One	10.1371/journal.pone.0261893	2022
Enzymology	[Electrophoretic and immunologic comparative analysis of Mycoplasma pneumoniae and Mycoplasma genitalium proteins].	Rastawicki W, Jagielski M.	Med Dosw Mikrobiol		1998
Enzymology	Reconstitution of an active arginine deiminase pathway in Mycoplasma pneumoniae M129.	Rechnitzer H, Rottem S, Herrmann R.	Infect Immun	10.1128/iai.00441-13	2013
Metabolism	Subunits of the Pyruvate Dehydrogenase Cluster of Mycoplasma pneumoniae Are Surface-Displayed Proteins that Bind and Activate Human Plasminogen.	Grundel A, Friedrich K, Pfeiffer M, Jacobs E, Dumke R.	PLoS One	10.1371/journal.pone.0126600	2015
	Novel bacterial NAD+-dependent DNA ligase inhibitors with broad-spectrum activity and antibacterial efficacy in vivo.	Mills SD, Eakin AE, Buurman ET, Newman JV, Gao N, Huynh H, Johnson KD, Lahiri S, Shapiro AB, Walkup GK, Yang W, Stokes SS.	Antimicrob Agents Chemother	10.1128/aac.01181-10	2011
Phylogeny	Species identification and subtyping of Ureaplasma parvum and Ureaplasma urealyticum using PCR-based assays.	Kong F, Ma Z, James G, Gordon S, Gilbert GL.	J Clin Microbiol	10.1128/jcm.38.3.1175-1179.2000	2000
	Spatial arrangement of gene products of the P1 operon in the membrane of Mycoplasma pneumoniae.	Layh-Schmitt G, Herrmann R.	Infect Immun	10.1128/iai.62.3.974-979.1994	1994
	In vitro subminimum inhibitory concentrations of macrolide antibiotics induce macrolide resistance in Mycoplasma pneumoniae.	Ou G, Liu Y, Tang Y, You X, Zeng Y, Xiao J, Chen L, Yu M, Wang M, Zhu C	Hippokratia		2015
	Retrospective survey for sialidase activity in Mycoplasma pneumoniae isolates from cases of community-acquired pneumonia.	May M, Brown DR	BMC Res Notes	10.1186/1756-0500-4-195	2011
Metabolism	Variation in colonization, ADP-ribosylating and vacuolating cytotoxin, and pulmonary disease severity among mycoplasma pneumoniae strains.	Techasaensiri C, Tagliabue C, Cagle M, Iranpour P, Katz K, Kannan TR, Coalson JJ, Baseman JB, Hardy RD	Am J Respir Crit Care Med	10.1164/rccm.201001-0080OC	2010
Pathogenicity	Serological comparison of virulent and avirulent Mycoplasma pneumoniae by monoclonal antibodies.	Hu PC, Collier AM, Clyde WA Jr	Isr J Med Sci		1984
	Design, synthesis and antibacterial evaluation of pleuromutilin derivatives.	Wu G, Zhu Z, Li J, Luo X, Zhu W, Liao G, Xia J, Zhang W, Pan W, Li T, Wu S	Bioorg Med Chem	10.1016/j.bmc.2022.116676	2022

References

#17470	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23979
#20215	Parte, 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 DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#66792	Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .
#69479	João 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 beta .
#125438	Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 )
#125439	Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 .
#126262	A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 )

Rate our new design

Content

About us

Mycoplasmoides pneumoniae (DSM 23979, ATCC 29342, M129)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000331085

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media