Mycobacterium pseudoshottsii (DSM 45108, ATCC BAA-883, L15)

Name: Mycobacterium pseudoshottsii (DSM 45108, ATCC BAA-883, L15)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8544

Type strain

Strain Designation L15

Culture col. no. DSM 45108 ATCC BAA-883 L15 NCTC 13318 JCM 15466 1 more

NCBI tax ID(s) 1136880 265949

Special Collections DSMZ JCM Literature strains CIP

History <- NCTC 2007, M. Rhodes, Virginia Inst. of Marine, Virginia, USA: strain L15 NCTC 13318 <-- M. W. Rhodes et al. L15. CIP <- 2007, M. Rhodes, Virginia Inst. of Marine, Virginia, USA: strain L15

Links

Mycobacterium pseudoshottsii L15 is an obligate aerobe, ovoid-shaped animal pathogen that was isolated from granulomatous lesions in splenic tissue from a striped bass.

ovoid-shaped obligate aerobe animal pathogen genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 131085

ATCC BAA-883,NCTC 13318,DSM 45108,CIP 109775,JCM 15466

@ref 20215

Last LPSN update 2026-02-09 11:19:44

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium pseudoshottsii

Full scientific name Mycobacterium pseudoshottsii Rhodes et al. 2005

Morphology

Cell morphology

@ref	Cell length	Cell width	Cell shape	Confidence	Gram stain
31337	0.9 µm	0.5 µm	ovoid-shaped
122001			rod-shaped
125439				93.6
125439				97.7	positive
125438				92

Pigmentation

31337

Productionyes

Multimedia

@ref:	12350
multimedia content:	DSM_45108.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_45108.jpg
caption:	Medium 645 25°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
12350	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
37835	MEDIUM 55 - for Mycobacterium
122001	CIP Medium 93	Medium recipe at CIP
122001	CIP Medium 55	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
12350	positive	growth	25
31337	positive	growth	23-37
31337	positive	optimum	24
37835	positive	growth	25
67770	positive	growth	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
122001	obligate aerobe
125439	obligate aerobe	99.2

Spore formation

31337

Spore formationno

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31337	NaCl	positive	growth	5 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
122001	17632 ChEBI	nitrate	-	reduction
122001	16301 ChEBI	nitrite	-	reduction
31337	53426 ChEBI	tween 80	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
122001	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
31337	acid phosphatase	+	3.1.3.2
68382	acid phosphatase	+	3.1.3.2	from API zym
68382	alkaline phosphatase	+	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
31337	catalase	+	1.11.1.6
122001	catalase	+	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	+		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
122001	oxidase	-
68382	trypsin	+	3.4.21.4	from API zym
31337	urease	+	3.5.1.5
122001	urease	-	3.5.1.5
68382	valine arylamidase	+		from API zym

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
122001	-	+	+	+	+	+	+	+	+	-	+	+	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Fishes	-
#Host Body-Site	#Other	#Wound
#Host Body-Site	#Organ	#Spleen

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
12350	granulomatous lesions in splenic tissue from a striped bass(Morone saxatilis)
67770	Granulomatous lesions in splenic tissue from a striped bass (Morone saxatilis)	Morone saxatilis	Chesapeake Bay	USA	USA	North America
122001	Granulomatous splenix lesion in striped bass, Morone saxatilis		Chesapeake bay	United States of America	USA	North America	2002

Taxonmaps

69479

Global distribution of 16S sequence AY570988 (>99% sequence identity) for Mycobacterium from Microbeatlas

Aquatic Samples	660
Soil Samples	1494
Animal Samples	250
Plant Samples	193
Total Samples	2597

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
12350		1	Risk group (German classification) According to TRBA 466
122001		1	Risk group (French 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	ASM358474v1 assembly for Mycobacterium pseudoshottsii JCM 15466	complete	GCA_003584745	1136880.4	2909077730	1136880	95.74
67770	ASM151536v1 assembly for Mycobacterium pseudoshottsii JCM 15466	scaffold	GCA_001515365	1136880.3	8119738142	1136880	10.07
66792	ASM2582150v1 assembly for Mycobacterium pseudoshottsii DSM 45108	contig	GCA_025821505	265949.8	8113832965	265949

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Mycobacterium pseudoshottsii partial 16S rRNA gene, type strain NCTC 13318T	AM884320	565	1136880
20218	Mycobacterium pseudoshottsii strain NCTC 13318 16S ribosomal RNA gene, partial sequence	DQ987742	543	1136880
12350	Mycobacterium pseudoshottsii 16S ribosomal RNA gene, partial sequence	AY570988	1453	1136880
67770	Mycobacterium pseudoshottsii gene for 16S ribosomal RNA, partial sequence, strain: JCM 15466	AB548713	1475	1136880
124043	Mycobacterium pseudoshottsii DNA, 16S-23S ribosomal RNA intergenic spacer, partial sequence, strain: JCM 15466.	AB548714	272	1136880

GC content

@ref	GC-content (mol%)	Method
67770	65.7	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium pseudoshottsii JCM 15466
PATRIC: 1136880.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.20	no
125439	gram_stain	BacteriaNetⓘ	positive	97.70	no
125439	motility	BacteriaNetⓘ	no	93.60	no
125439	spore_formation	BacteriaNetⓘ	yes	73.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium pseudoshottsii JCM 15466 JCM 15466
NCBI: GCA_003584745.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.92	no
125438	anaerobic	anaerobicⓘ	no	98.04	yes
125438	aerobic	aerobicⓘ	yes	80.66	yes
125438	spore-forming	spore-formingⓘ	no	64.63	yes
125438	thermophilic	thermophileⓘ	no	95.40	yes
125438	flagellated	motile2+ⓘ	no	92.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Application of Genomic Epidemiology of Pathogens to Farmed Yellowtail Fish Mycobacteriosis in Kyushu, Japan.	Wada T, Yoshida S, Yamamoto T, Nonaka L, Fukushima Y, Nakajima C, Suzuki Y, Imajoh M.	Microbes Environ	10.1264/jsme2.me24011	2024
	Retrospective identification of pathogenic mycobacterial species in fish: Mycobacterium pseudoshottsii YM-3, isolated from a yellowtail fish in 1986 in Kochi, Japan.	Imajoh M, Yoshida S, Nonaka L, Fukushima Y, Nakajima C, Suzuki Y, Wada T.	Microbiol Resour Announc	10.1128/mra.00498-23	2023
Phylogeny	Buruli ulcer caused by Mycobacterium ulcerans subsp. shinshuense: A case report.	Fujimori T, Hagiya H, Iio K, Yamasaki O, Miyamoto Y, Hoshino Y, Kakehi A, Okura M, Minabe H, Yokoyama Y, Otsuka F, Higashikage A.	J Infect Chemother	10.1016/j.jiac.2023.02.009	2023
	Identification of Mycobacterium pseudoshottsii in the Eastern Mediterranean.	Davidovich N, Makhon A, Zizelski Valenci G, Dveyrin Z, Yahav T, Pretto T, Tchernov D, Morick D.	Microbiol Spectr	10.1128/spectrum.00856-23	2023
	Complete Genome and Partial Megaplasmid Sequences of Mycobacterium pseudoshottsii Strain NJB1907-Z4, Isolated from an Aquarium-Reared Japanese Sardine (Sardinops melanostictus) in Japan.	Komine T, Fukano H, Yoshida M, Inohana M, Hoshino Y, Kurata O, Wada S.	Microbiol Resour Announc	10.1128/mra.00785-22	2022
	Elevated temperature inhibits Mycobacterium shottsii infection and Mycobacterium pseudoshottsii disease in striped bass Morone saxatilis.	Gauthier DT, Haines AN, Vogelbein WK.	Dis Aquat Organ	10.3354/dao03584	2021
	A case of mycobacteriosis associated with Mycobacterium pseudoshottsii in aquarium-reared fish in Japan.	Komine T, Ihara H, Ono K, Yoshida M, Sugimoto Y, Inohana M, Fukano H, Kurata O, Wada S.	J Vet Med Sci	10.1292/jvms.22-0318	2022
	A rapid and simple MALDI-TOF MS lipid profiling method for differentiating Mycobacterium ulcerans from Mycobacterium marinum.	Komine T, Fukano H, Yoshida M, Miyamoto Y, Nakaya M, Fujinaga A, Doke K, Hoshino Y.	J Clin Microbiol	10.1128/jcm.01400-24	2025
	Genomic Insights into the Fish-Pathogenic Mycobacterium pseudoshottsii Strain AR Recovered from Meagre (Argyrosomus regius).	Stathopoulou P, Asimakis E, Petropoulos Y, Apostolopoulou G, Tsiamis G.	Microbiol Resour Announc	10.1128/mra.01099-20	2020
	Availability of culture filtrate protein-10 (CFP-10) secreted from Mycobacterium pseudoshottsii for mycobacteriosis diagnosis in ginbuna crucian carp Carrasius auratus langsdorfii.	Matsumoto M, Hayashi K, Araki K, Nakanishi T, Yamamoto A.	J Fish Dis	10.1111/jfd.13108	2020
	One-step loop-mediated isothermal amplification system for Mycobacterium marinum detection.	Okumura K, Miyamoto Y, Mitarai S, Ato M.	Microbiol Spectr	10.1128/spectrum.02906-24	2025
	Mycobacterium pseudoshottsii in Mediterranean Fish Farms: New Trouble for European Aquaculture?	Mugetti D, Varello K, Gustinelli A, Pastorino P, Menconi V, Florio D, Fioravanti ML, Bozzetta E, Zoppi S, Dondo A, Prearo M.	Pathogens	10.3390/pathogens9080610	2020
Genetics	Genomic Degeneration and Reduction in the Fish Pathogen Mycobacterium shottsii.	Gauthier DT, Doss JH, LaGatta M, Gupta T, Karls RK, Quinn FD.	Microbiol Spectr	10.1128/spectrum.01158-21	2022
	Density Functional Theory-Based Studies Predict Carbon Nanotubes as Effective Mycolactone Inhibitors.	Suleiman N, Yaya A, Wilson MD, Aryee S, Kwofie SK.	Molecules	10.3390/molecules27144440	2022
	Mycobacterium marinum: A Case-Based Narrative Review of Diagnosis and Management.	Tsiolakkis G, Liontos A, Filippas-Ntekouan S, Matzaras R, Theodorou E, Vardas M, Vairaktari G, Nikopoulou A, Christaki E.	Microorganisms	10.3390/microorganisms11071799	2023
	Internalization of Mycobacterium shottsii and Mycobacterium pseudoshottsii by Acanthamoeba polyphaga.	Gupta T, Fine-Coulson K, Karls R, Gauthier D, Quinn F.	Can J Microbiol	10.1139/cjm-2013-0079	2013
	High female mortality caused by an atypical Mycobacterium species closely related to the Mycobacterium ulcerans-marinum complex in a colony of bearded dragons (Pogona vitticeps).	Chenier S, Tremblay M, Lloyd D, Duceppe MO, Andrievskaia O.	Can Vet J		2022
Enzymology	Mycobacterium pseudoshottsii isolated from 24 farmed fishes in western Japan.	Nakanaga K, Hoshino Y, Hattori Y, Yamamoto A, Wada S, Hatai K, Makino M, Ishii N.	J Vet Med Sci	10.1292/jvms.11-0226	2012
Pathogenicity	Systematic review: Global host range, case fatality and detection rates of Mycobacterium ulcerans in humans and potential environmental sources.	Tchatchouang S, Andre Mbongue Mikangue C, Kenmoe S, Bowo-Ngandji A, Mahamat G, Thierry Ebogo-Belobo J, Serge Mbaga D, Rodrigue Foe-Essomba J, Numfor H, Irma Kame-Ngasse G, Nyebe I, Bosco Taya-Fokou J, Zemnou-Tepap C, Felicite Yengue J, Nina Magoudjou-Pekam J, Gertrude Djukouo L, Antoinette Kenmegne Noumbissi M, Kenfack-Momo R, Aimee Touangnou-Chamda S, Flore Feudjio A, Gael Oyono M, Paola Demeni Emoh C, Raoul Tazokong H, Zeukeng F, Kengne-Nde C, Njouom R, Flore Donkeng Donfack V, Eyangoh S.	J Clin Tuberc Other Mycobact Dis	10.1016/j.jctube.2024.100457	2024
Enzymology	A sensitive FRET probe assay for the selective detection of Mycobacterium marinum in fish.	Salati F, Meloni M, Fenza A, Angelucci G, Colorni A, Orru G.	J Fish Dis	10.1111/j.1365-2761.2009.01112.x	2010
Phylogeny	Expanded range and new host species of Mycobacterium shottsii and M. pseudoshottsii.	Stine CB, Jacobs JM, Rhodes MR, Overton A, Fast M, Baya AM.	J Aquat Anim Health	10.1577/h09-005.1	2009
Metabolism	Mycobacterium ulcerans mycolactones-fungi crosstalking.	Hammoudi N, Cassagne C, Armstrong N, Ranque S, Henrissat B, Drancourt M, Bouam A.	Sci Rep	10.1038/s41598-019-39927-3	2019
Genetics	Whole-Genome sequencing and comparative genomics of Mycobacterium spp. from farmed Atlantic and coho salmon in Chile.	Suarez R, Kusch K, Miranda CD, Li T, Campanini J, Behra PRK, Aro L, Martinez A, Godoy M, Medina DA.	Antonie Van Leeuwenhoek	10.1007/s10482-021-01592-w	2021
Phylogeny	Non-tuberculous Mycobacterium species causing mycobacteriosis in farmed aquatic animals of South Africa.	Gcebe N, Michel AL, Hlokwe TM.	BMC Microbiol	10.1186/s12866-018-1177-9	2018
Genetics	Variable Number Tandem Repeat Profiling of Mycobacterium ulcerans Reveals New Genotypes in Buruli Ulcer Endemic Communities in Ghana and Côte d'Ivoire.	Gyamfi E, Dogbe MA, Quaye C, Affouda AA, Kyei-Baffour E, Awuku-Asante D, Sarpong-Duah M, Mosi L.	Front Microbiol	10.3389/fmicb.2022.872579	2022
	Detection of Mycobacterium ulcerans DNA in the Environment, Ivory Coast.	Tian RB, Niamke S, Tissot-Dupont H, Drancourt M.	PLoS One	10.1371/journal.pone.0151567	2016
	Quantitative PCR assay for Mycobacterium pseudoshottsii and Mycobacterium shottsii and application to environmental samples and fishes from the Chesapeake Bay.	Gauthier DT, Reece KS, Xiao J, Rhodes MW, Kator HI, Latour RJ, Bonzek CF, Hoenig JM, Vogelbein WK.	Appl Environ Microbiol	10.1128/aem.01091-10	2010
Enzymology	Nineteen cases of Buruli ulcer diagnosed in Japan from 1980 to 2010.	Nakanaga K, Hoshino Y, Yotsu RR, Makino M, Ishii N.	J Clin Microbiol	10.1128/jcm.00783-11	2011
	Naturally occurring a loss of a giant plasmid from Mycobacterium ulcerans subsp. shinshuense makes it non-pathogenic.	Nakanaga K, Ogura Y, Toyoda A, Yoshida M, Fukano H, Fujiwara N, Miyamoto Y, Nakata N, Kazumi Y, Maeda S, Ooka T, Goto M, Tanigawa K, Mitarai S, Suzuki K, Ishii N, Ato M, Hayashi T, Hoshino Y.	Sci Rep	10.1038/s41598-018-26425-1	2018
Enzymology	Molecular detection of Mycobacterium ulcerans in the environment and its relationship with Buruli ulcer occurrence in Zio and Yoto districts of maritime region in Togo.	Maman I, Tchacondo T, Kere AB, Beissner M, Badziklou K, Tedihou E, Nyaku E, Amekuse K, Wiedemann FX, Karou DS, Bretzel G.	PLoS Negl Trop Dis	10.1371/journal.pntd.0006455	2018
Genetics	BiG-SLiCE: A highly scalable tool maps the diversity of 1.2 million biosynthetic gene clusters.	Kautsar SA, van der Hooft JJJ, de Ridder D, Medema MH.	Gigascience	10.1093/gigascience/giaa154	2021
Metabolism	Globally distributed mycobacterial fish pathogens produce a novel plasmid-encoded toxic macrolide, mycolactone F.	Ranger BS, Mahrous EA, Mosi L, Adusumilli S, Lee RE, Colorni A, Rhodes M, Small PL.	Infect Immun	10.1128/iai.00970-06	2006
	Buruli Ulcer, a Prototype for Ecosystem-Related Infection, Caused by Mycobacterium ulcerans.	Zingue D, Bouam A, Tian RBD, Drancourt M.	Clin Microbiol Rev	10.1128/cmr.00045-17	2018
Metabolism	Deciphering the genetic basis for polyketide variation among mycobacteria producing mycolactones.	Pidot SJ, Hong H, Seemann T, Porter JL, Yip MJ, Men A, Johnson M, Wilson P, Davies JK, Leadlay PF, Stinear TP.	BMC Genomics	10.1186/1471-2164-9-462	2008
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
	Draft Genome Sequences of 25 Mycobacterium marinum Strains Isolated from Animals and Environmental Components in Aquaria and an Aquaculture Farm.	Komine T, Fukano H, Inohana M, Hoshino Y, Kurata O, Wada S.	Microbiol Resour Announc	10.1128/mra.00851-22	2022
Enzymology	First report of disseminated Mycobacterium skin infections in two liver transplant recipients and rapid diagnosis by hsp65 gene sequencing.	Lau SK, Curreem SO, Ngan AH, Yeung CK, Yuen KY, Woo PC.	J Clin Microbiol	10.1128/jcm.05088-11	2011
	Complete Chromosome Sequence of a Mycolactone-Producing Mycobacterium, Mycobacterium pseudoshottsii.	Yoshida M, Miyamoto Y, Ogura Y, Hayashi T, Hoshino Y	Genome Announc	10.1128/genomeA.01363-17	2017
Genetics	Draft Genome Sequence of the Fish Pathogen Mycobacterium pseudoshottsii Strain JCM15466, a Species Closely Related to M. marinum.	Hikima J, Sakai M, Aoki T, Takeyama H, Hawke J, Mori K, Tashiro K, Kuhara S	Genome Announc	10.1128/genomeA.01630-15	2016
Phylogeny	Mycobacterium pseudoshottsii sp. nov., a slowly growing chromogenic species isolated from Chesapeake Bay striped bass (Morone saxatilis).	Rhodes MW, Kator H, McNabb A, Deshayes C, Reyrat JM, Brown-Elliott BA, Wallace R, Trott KA, Parker JM, Lifland B, Osterhout G, Kaattari I, Reece K, Vogelbein W, Ottinger CA	Int J Syst Evol Microbiol	10.1099/ijs.0.63343-0	2005

References

#12350	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45108
#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 )
#27651	IJSEM 1139 2005 ( DOI 10.1099/ijs.0.63343-0 , PubMed 15879246 )
#31337	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27651
#37835	; Curators of the CIP;
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68382	Automatically annotated from API zym .
#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 .
#122001	Collection of Institut Pasteur ; Curators of the CIP; CIP 109775
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 pseudoshottsii (DSM 45108, ATCC BAA-883, L15)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Enzymes

API zym

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003584745

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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