Mycobacterium saopaulense (CCUG 66554, LMG 28586, INCQS 0733)

Name: Mycobacterium saopaulense (CCUG 66554, LMG 28586, INCQS 0733)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 156903

Type strain

Culture col. no. CCUG 66554 LMG 28586 INCQS 0733 JCM 32436

NCBI tax ID(s) 1578165

Special Collections CCUG JCM

History LMG 28586 <-- S. C. Leão; Univ. Fed. de São Paulo, Brazil; EPM 10906.

Links

Mycobacterium saopaulense CCUG 66554 is a microaerophile, mesophilic prokaryote that was isolated from Human eye,corneal scraping.

microaerophile mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 396484

CT2017-00300,JCM 32436,LMG 28586,CCUG 66554

@ref 20215

Last LPSN update 2026-02-09 11:37:57

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium saopaulense

Full scientific name Mycobacterium saopaulense Nogueira et al. 2015

Synonyms (1)

Mycobacteroides saopaulense

Morphology

Cell morphology

@ref	Motility	Confidence
125438		90.5

Colony morphology

63351

Incubation period2 days

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
63351	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
63351	microaerophile
125439	obligate aerobe	91.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body-Site	#Organ	#Eye
#Infection	#Patient	-

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
63351	Human eye,corneal scraping	2000-09-11	Sao Paulo	Brazil	BRA	Middle and South America
67770	Corneal of a patient with infectious crystalline keratopathy		São Paulo	Brazil	BRA	Middle and South America

Taxonmaps

69479

Global distribution of 16S sequence KM973037 (>99% sequence identity) for Mycobacteroides from Microbeatlas

Aquatic Samples	6199
Soil Samples	7046
Animal Samples	7007
Plant Samples	1742
Total Samples	21994

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM145635v1 assembly for Mycobacteroides saopaulense EPM10906	complete	GCA_001456355	1578165.6	2772190611	1578165	97.76
67770	ASM208671v1 assembly for Mycobacteroides saopaulense CCUG 66554	contig	GCA_002086715	1578165.5	8114935148	1578165	57.25

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Mycobacteroides saopaulense strain EPM10906 16S ribosomal RNA gene, partial sequence	KM973037	1384		1578165

GC content

@ref	GC-content (mol%)	Method
67770	64.6	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacteroides saopaulense CCUG 66554
NCBI: GCA_002086715

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	88.40	no
125439	motility	BacteriaNetⓘ	no	56.60	no
125439	gram_stain	BacteriaNetⓘ	positive	86.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	91.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium saopaulense strain CCUG 66554
PATRIC: 1578165.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.82	no
125438	anaerobic	anaerobicⓘ	no	96.85	yes
125438	spore-forming	spore-formingⓘ	no	61.30	no
125438	aerobic	aerobicⓘ	yes	82.37	yes
125438	thermophilic	thermophileⓘ	no	95.40	no
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phylogenomics and Comparative Genomic Studies Robustly Support Division of the Genus Mycobacterium into an Emended Genus Mycobacterium and Four Novel Genera.	Gupta RS, Lo B, Son J.	Front Microbiol	10.3389/fmicb.2018.00067	2018

References

#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 )
#63351	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 66554
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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

Mycobacterium saopaulense (CCUG 66554, LMG 28586, INCQS 0733)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001456355

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media