Mycobacterium persicum (DSM 104278, CIP 111197, AFPC 000207)

Name: Mycobacterium persicum (DSM 104278, CIP 111197, AFPC 000207)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140288

Type strain

Strain Designation AFPC-000227

Culture col. no. DSM 104278 CIP 111197 AFPC 000207 AFPC-000227 AFPC 000227

NCBI tax ID(s) 1487726

Special Collections DSMZ CIP Literature strains

History DSMZ <- E. Tortoli, San Raffaele Scientific Institute, Milan, Italy; AFPC-000227 <- A.H. Shahraki, Pasteur Institute of Iran, Teheran, Iran; AFPC-000227 CIP <- 2016, E. Tortoli, San Raffaele Scientific Inst., Milano, Italy: strain AFPC000227

Links

Mycobacterium persicum AFPC-000227 is a Gram-positive, rod-shaped bacterium that was isolated from sputum from a patient with fever, productive cough and shortness of breath.

Gram-positive rod-shaped genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 407602

CT2017-00307,DSM 104278,CIP 111197

@ref 20215

Last LPSN update 2026-05-29 08:39:41

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium persicum

Full scientific name Mycobacterium persicum Shahraki et al. 2017

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
121689	positive	rod-shaped
125439			90.651
125439	positive		92.432

Multimedia

@ref:	42895
multimedia content:	DSM_104278.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_104278.jpg
caption:	Medium 645 37°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
42895	MIDDLEBROOK MEDIUM (DSMZ Medium 645)	Medium recipe at MediaDive	Name: MIDDLEBROOK MEDIUM (DSMZ Medium 645) Composition: Bacto Middlebrook 7H10 agar 20.9945 g/l Glycerol Distilled water
121689	CIP Medium 55	Medium recipe at CIP
43241	MacConkey agar without crystal violet

Culture temp

@ref	Growth	Type	Temperature (°C)
42895	positive	growth	37
43241	negative	growth	42
43241	positive	growth	25
43241	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.231

Observation

@ref	Observation
43241	niacin accumulation
43241	Yellow pigmentation developed only after light exposure

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43241	17632 ChEBI	nitrate	+	reduction
43241	30477 ChEBI	tellurite	-	reduction
43241	53426 ChEBI	tween 80	+	hydrolysis

Antibiotic resistance

@ref	ChEBI	Metabolite
43241	2637	amikacin
43241	3732	clarithromycin
43241	63607	linezolid
43241	63611	moxifloxacin
43241	28077	rifampicin

Enzymes

@ref	Value	Activity	Ec
43241	beta-glucosidase	-	3.2.1.21
43241	catalase	+	1.11.1.6
43241	urease	-	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Fluids	#Sputum
#Infection	#Patient	-

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
42895	sputum from a patient with fever, productive cough and shortness of breath	Homo sapiens	Teheran General Hospital	Iran	IRN	Asia
43241	pulmonary specimens of Iranian patient (female) with pulmonary disease	Homo sapiens	Tehran, Iran	Iran	IRN	Asia	2009
121689	Human, Sputum sample	Homo sapiens	Tehran	Iran	IRN	Asia	2009-01-02

Taxonmaps

69479

Global distribution of 16S sequence KX987140 (>99% sequence identity) for Mycobacterium from Microbeatlas

Aquatic Samples	382
Soil Samples	881
Animal Samples	203
Plant Samples	54
Total Samples	1520

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
121689	1	Risk group (French classification)
42895	2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM208667v1 assembly for Mycobacterium persicum AFPC-000227	contig	GCA_002086675	1487726.3	8113917836	1487726	0

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
42895	Mycobacterium persicum strain AFPC-000227 16S ribosomal RNA gene, partial sequence	KX987140	1527		1487726

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM208667v1 assembly for Mycobacterium persicum AFPC-000227
BV-BRC: 1487726.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	positive	92.43	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.23	no
125439	motility	BacteriaNetⓘ	no	90.65	no
125439	spore_formation	BacteriaNetⓘ	yes	50.17	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium sp. AFPC-000227 strain AFPC-000227
PATRIC: 1487726.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.87	no
125438	anaerobic	anaerobicⓘ	no	96.18	no
125438	spore-forming	spore-formingⓘ	no	61.65	no
125438	aerobic	aerobicⓘ	yes	75.92	no
125438	thermophilic	thermophileⓘ	no	94.38	no
125438	flagellated	motile2+ⓘ	no	88.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	A retrospective cohort study of Mycobacterium kansasii complex pulmonary infections at a tertiary teaching hospital.	Lin YC, Lee HH, Lao CK, Yang JH, Chen NY, Yeh CF, Huang PY, Shie SS, Huang WC, Lin CW, Li SH, Wang CL, Lin SW, Huang CC, Lu JJ, Chiu CH, Lai HC, Wu TS.	J Microbiol Immunol Infect	10.1016/j.jmii.2025.08.006	2025
	Disseminated nontuberculous mycobacterial infection in the context of interferon-gamma autoantibody syndrome: A case report and review of the literature.	Jordan V, Pickles R.	Eur J Microbiol Immunol (Bp)	10.1556/1886.2024.00123	2025
	Toto, we're not in Kansas anymore: First reported case of M. persicum septic arthritis.	Dumais MG, Wengenack NL, Norgan AP, Amin S, Sia IG, Rhee PC, Connelly BJ, Arment CA.	J Clin Tuberc Other Mycobact Dis	10.1016/j.jctube.2023.100352	2023
	Cold Cas: reevaluating the occurrence of CRISPR/Cas systems in Mycobacteriaceae.	Brenner E, Sreevatsan S.	Front Microbiol	10.3389/fmicb.2023.1204838	2023
	Efficacy and treatment outcome of infected patients with pulmonary Mycobacterium kansasii: A systematic review.	Andalibi F, Bostanghadiri N, Amirmozafari N, Irajian G, Mirkalantari S.	J Clin Tuberc Other Mycobact Dis	10.1016/j.jctube.2024.100463	2024
	Evaluation of a Commercial Multiplex Real-Time PCR with Melting Curve Analysis for the Detection of Mycobacterium tuberculosis Complex and Five Nontuberculous Mycobacterial Species.	Kim KJ, Chang Y, Yun SG, Nam MH, Cho Y.	Microorganisms	10.3390/microorganisms13010026	2024
Genetics	Phylogenomic and genomic analysis reveals unique and shared genetic signatures of Mycobacterium kansasii complex species.	Machado E, Vasconcellos S, Gomes L, Catanho M, Ramos J, de Carvalho L, Goldenberg T, Redner P, Caldas P, Campos C, Dalcolmo M, Lourenco MC, Lasunskaia E, Mussi V, Spinasse L, Vinhas S, Rigouts L, Cogneau S, de Rijk P, Utpatel C, Kaustova J, van der Laan T, de Neeling H, Rastogi N, Levina K, Kutt M, Mokrousov I, Zhuravlev V, Makhado N, Zolnir-Dovc M, Jankovic V, de Waard J, Sisco MC, van Soolingen D, Niemann S, de Jong BC, Meehan CJ, Suffys P.	Microb Genom	10.1099/mgen.0.001266	2024
	Infection of a Free-Living Wild Boar (Sus scrofa) with a Bacterium from the Mycobacterium kansasii Complex.	Radulski L, Krajewska-Wedzina M, Lipiec M, Szulowski K.	Animals (Basel)	10.3390/ani12080964	2022
	Current Updates on Mycobacterial Taxonomy, 2018 to 2019.	Armstrong DT, Parrish N.	J Clin Microbiol	10.1128/jcm.01528-20	2021
Genetics	Genomic Insights Into the Mycobacterium kansasii Complex: An Update.	Jagielski T, Borowka P, Bakula Z, Lach J, Marciniak B, Brzostek A, Dziadek J, Dziurzynski M, Pennings L, van Ingen J, Zolnir-Dovc M, Strapagiel D.	Front Microbiol	10.3389/fmicb.2019.02918	2019
	Evaluation of Three Commercial Interferon-gamma Assays in a Bovine Tuberculosis Free Population.	Ghielmetti G, Landolt P, Friedel U, Morach M, Hartnack S, Stephan R, Schmitt S.	Front Vet Sci	10.3389/fvets.2021.682466	2021
	Gradual Recovery of Building Plumbing-Associated Microbial Communities after Extended Periods of Altered Water Demand during the COVID-19 Pandemic.	Vosloo S, Huo L, Chauhan U, Cotto I, Gincley B, Vilardi KJ, Yoon B, Bian K, Gabrielli M, Pieper KJ, Stubbins A, Pinto AJ.	Environ Sci Technol	10.1021/acs.est.2c07333	2023
Genetics	Rapid Identification of Mycobacterium tuberculosis Complex Using Mass Spectrometry: A Proof of Concept.	Robinne S, Saad J, Morsli M, Hamidou ZH, Tazerart F, Drancourt M, Baron SA.	Front Microbiol	10.3389/fmicb.2022.753969	2022
Genetics	Pathogenic Determinants of the Mycobacterium kansasii Complex: An Unsuspected Role for Distributive Conjugal Transfer.	Tagini F, Pillonel T, Bertelli C, Jaton K, Greub G.	Microorganisms	10.3390/microorganisms9020348	2021
	A Murine Model of Mycobacterium kansasii Infection Reproducing Necrotic Lung Pathology Reveals Considerable Heterogeneity in Virulence of Clinical Isolates.	Mussi VO, Simao TLBV, Almeida FM, Machado E, de Carvalho LD, Calixto SD, Sales GAM, Carvalho ECQ, Vasconcellos SEG, Catanho M, Suffys PN, Lasunskaia EB.	Front Microbiol	10.3389/fmicb.2021.718477	2021
	Population genomics provides insights into the evolution and adaptation to humans of the waterborne pathogen Mycobacterium kansasii.	Luo T, Xu P, Zhang Y, Porter JL, Ghanem M, Liu Q, Jiang Y, Li J, Miao Q, Hu B, Howden BP, Fyfe JAM, Globan M, He W, He P, Wang Y, Liu H, Takiff HE, Zhao Y, Chen X, Pan Q, Behr MA, Stinear TP, Gao Q.	Nat Commun	10.1038/s41467-021-22760-6	2021
Phylogeny	Phylogenomics reveal that Mycobacterium kansasii subtypes are species-level lineages. Description of Mycobacterium pseudokansasii sp. nov., Mycobacterium innocens sp. nov. and Mycobacterium attenuatum sp. nov.	Tagini F, Aeby S, Bertelli C, Droz S, Casanova C, Prod'hom G, Jaton K, Greub G.	Int J Syst Evol Microbiol	10.1099/ijsem.0.003378	2019
Phylogeny	Mycobacterium persicum sp. nov., a novel species closely related to Mycobacterium kansasii and Mycobacterium gastri.	Shahraki AH, Trovato A, Mirsaeidi M, Borroni E, Heidarieh P, Hashemzadeh M, Shahbazi N, Cirillo DM, Tortoli E	Int J Syst Evol Microbiol	10.1099/ijsem.0.001862	2017

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 )
#42895	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 104278
#43241	Abdolrazagh Hashemi Shahraki, Alberto Trovato, Mehdi Mirsaeidi, Emanuele Borroni, Parvin Heidarieh, Mohamad Hashemzadeh, Narges Shahbazi, Daniela M. Cirillo and Enrico Tortoli: Mycobacterium persicum sp. nov., a novel species closely related to Mycobacterium kansasii and Mycobacterium gastri. IJSEM 67: 1766 - 1770 2017 ( DOI 10.1099/ijsem.0.001862 , PubMed 28629501 )
#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 .
#121689	Collection of Institut Pasteur ; Curators of the CIP; CIP 111197
#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 )

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Mycobacterium persicum (DSM 104278, CIP 111197, AFPC 000207)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Metabolite utilization

Antibiotic resistance

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002086675

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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