Shigella boydii (DSM 7532, ATCC 8700, CCUG 49022)

Name: Shigella boydii (DSM 7532, ATCC 8700, CCUG 49022)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5174

Type strain

Strain Designation P288

Culture col. no. DSM 7532 ATCC 8700 CCUG 49022 CIP 82.50 NCTC 12985 1 more

NCBI tax ID(s) 621

Special Collections DSMZ CCUG CIP

History <- ATCC; ATCC 8700 <- NCTC; NCTC 12985 <- Royal Army Medical Corps, India; (Shigella paradysenteriae) <- J. S. K. Boyd; P288 CIP <- 1982, ATCC <- NCTC, Shigella paradysenteriae <- J. Boyd: strain P288

Links

Shigella boydii P288 is an aerobe, Gram-negative, rod-shaped bacterium of the family Enterobacteriaceae.

Gram-negative rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 34992

ATCC 8700,NCTC 12985,DSM 7532,CIP 82.50,BCRC 15959,CCRC 15959,CCUG 49022

@ref 20215

Last LPSN update 2026-02-09 11:18:54

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Enterobacteriaceae

Genus Shigella

Species Shigella boydii

Full scientific name Shigella boydii Ewing 1949 (Approved Lists 1980)

BacDive ID	Other strains from **Shigella boydii** (38)	Type strain
134546	S. boydii 54264, CIP 54.75
134560	S. boydii 75-25-3, CIP 54.108
134619	S. boydii 901, CIP 57.47, NCTC 9356
134723	S. boydii CIP 56.36
134737	S. boydii 4350-54, CIP 58.18, NCTC 9765
134833	S. boydii 258, CIP 73.2
134919	S. boydii 7001, CIP 54.73
135166	S. boydii 2045-54, 425, CIP 58.22, NCTC 9362, CCUG ...
135299	S. boydii 541106, CIP 56.18
135607	S. boydii 2770/51, CIP 58.17, ATCC 12035, NCTC 9766
135608	S. boydii 703, CIP 58.19, ATCC 12034, NCTC 9365
135653	S. boydii 140/56, 5518/56, CIP 67.11
135895	S. boydii D 27, CIP 53.42
135972	S. boydii Nil-2-c, CIP 52.50, NCTC 9329
135996	S. boydii H 21582, CIP 51.6
136410	S. boydii A12, CIP 53.44, NCTC 6721
136484	S. boydii 54125, CIP 54.76
137104	S. boydii 55, CIP 56.35
137108	S. boydii CIP 58.20, NCTC 10024, DRL 120/55
137109	S. boydii 425, CIP 58.21, ATCC 12032, NCTC 9361
137192	S. boydii type, CIP 52.48
137768	S. boydii 426/FA, CIP 52.52, NCTC 9331
137769	S. boydii 6917, CIP 52.54, NCTC 9333
138575	S. boydii 1296/7, CIP 51.4, NCTC 9355
138576	S. boydii Congo, CIP 51.3
138591	S. boydii PSH-125, CIP 52.51, NCTC 9330
138593	S. boydii M 279, CIP 52.53, NCTC 9332
138842	S. boydii 592, CIP 58.4
138844	S. boydii 123, CIP 58.23, ATCC 12033, NCTC 9772
138845	S. boydii 1693, CIP 58.24
141992	S. boydii CCUG 9564, NCTC 9357
143796	S. boydii CCUG 21249
143801	S. boydii CCUG 21261
149519	S. boydii CCUG 37891
149520	S. boydii CCUG 37892
149521	S. boydii CCUG 37893
151867	S. boydii CCUG 45096
171284	S. boydii CIP 111949

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
116980	negative	rod-shaped
125439	negative		92.3
125438	negative		99.694

Colony morphology

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
40739	MEDIUM 72- for trypto casein soja agar		Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
116980	CIP Medium 72	Medium recipe at CIP
3205	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)	Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water
3205	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)	Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base

Culture temp

@ref	Growth	Type	Temperature (°C)
3205	positive	growth	37
40739	positive	growth	30
58445	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
58445	aerobe
116980	obligate aerobe
125439	aerobe	93.5

Spore formation

@ref	Spore formation	Confidence
125439		95.2

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68368	27613 ChEBI	amygdalin	-	fermentation	from API 20E
68368	29016 ChEBI	arginine	-	hydrolysis	from API 20E
68368	16947 ChEBI	citrate	-	assimilation	from API 20E
68368	17634 ChEBI	D-glucose	+	fermentation	from API 20E
68368	16899 ChEBI	D-mannitol	+	fermentation	from API 20E
68368	5291 ChEBI	gelatin	-	hydrolysis	from API 20E
68368	62345 ChEBI	L-rhamnose	-	fermentation	from API 20E
68368	25094 ChEBI	lysine	-	degradation	from API 20E
68368	28053 ChEBI	melibiose	-	fermentation	from API 20E
68368	17268 ChEBI	myo-inositol	-	fermentation	from API 20E
116980	17632 ChEBI	nitrate	+	reduction
116980	16301 ChEBI	nitrite	-	reduction
68368	18257 ChEBI	ornithine	-	degradation	from API 20E
68368	30911 ChEBI	sorbitol	-	fermentation	from API 20E
68368	17992 ChEBI	sucrose	-	fermentation	from API 20E
68368	27897 ChEBI	tryptophan	-	energy source	from API 20E
68368	16199 ChEBI	urea	-	hydrolysis	from API 20E

Metabolite production

@ref	Chebi-ID	Metabolite
68368	16136 ChEBI	hydrogen sulfide	from API 20E
116980	35581 ChEBI	indole
68368	35581 ChEBI	indole	from API 20E

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68368	35581 ChEBI	indole	-	from API 20E

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
116980	alcohol dehydrogenase	-	1.1.1.1
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
68368	arginine dihydrolase	-	3.5.3.6	from API 20E
68382	beta-galactosidase	-	3.2.1.23	from API zym
68368	beta-galactosidase	-	3.2.1.23	from API 20E
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
116980	catalase	+	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
68368	cytochrome oxidase	-	1.9.3.1	from API 20E
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	-		from API zym
68368	gelatinase	-		from API 20E
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
116980	lysine decarboxylase	-	4.1.1.18
68368	lysine decarboxylase	-	4.1.1.18	from API 20E
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	-		from API zym
116980	ornithine decarboxylase	-	4.1.1.17
68368	ornithine decarboxylase	-	4.1.1.17	from API 20E
116980	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
68368	tryptophan deaminase	-	4.1.99.1	from API 20E
116980	urease	-	3.5.1.5
68368	urease	-	3.5.1.5	from API 20E
68382	valine arylamidase	+		from API zym

API 20E

@ref	ONPG	ADH (Arg)	LDC (Lys)	ODC	CIT	H2S productionH2S	URE	TDA (Trp)	IND	Acetoin production (Voges Proskauer test)VP	GEL	GLU	MAN	INO	Sor	RHA	SAC	MEL	AMY	ARA	OX	Nitrite productionNO2	Reduction to N2N2	MotilityMOB	Growth on MacConkey mediumMAC	OF-O	OF-F
3205	-	-	-	-	-	-	-	-	-	+	-	+	+	-	-	-	-	-	-	+	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.
3205	-	-	-	-	-	-	-	-	-	-	-	+	+	-	-	-	-	-	-	+/-	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

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
116980	-	+	+	-	-	+	+	-	-	-	+	-	-	-	-	+	-	-	-	-

Isolation, sampling and environmental information

Isolation

@ref	Country	Country ISO 3 Code	Continent
3205	India	IND	Asia

Taxonmaps

69479

Global distribution of 16S sequence HF558388 (>99% sequence identity) for Enterobacteriaceae from Microbeatlas

Aquatic Samples	5613
Soil Samples	2111
Animal Samples	88071
Plant Samples	1835
Total Samples	97630

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3205	2	Risk group (German classification) According to TRBA 466
116980	2	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
124043	ASM1672628v1 assembly for Shigella boydii FDAARGOS_1139	complete	GCA_016726285	621.337		621	95.12
66792	ASM294673v1 assembly for Shigella boydii ATCC 8700	complete	GCA_002946735	621.213	2850761752	621	67.43
66792	57940_F01 assembly for Shigella boydii NCTC12985	contig	GCA_900457095	621.296	8117995120	621	57.71
66792	ASM357253v1 assembly for Shigella boydii DMB SH130	contig	GCA_003572535	621.253	8037094816	621

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Shigella boydii partial 16S rRNA gene, strain P288	HF558388	1515		621
124043	Shigella boydii strain ATCC 8700 16S ribosomal RNA gene, partial sequence.	OQ915461	1515		621

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Shigella boydii ATCC 8700
NCBI: GCA_002946735

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.20	no
125439	motility	BacteriaNetⓘ	yes	64.90	no
125439	gram_stain	BacteriaNetⓘ	negative	92.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	93.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Shigella boydii ATCC 8700
NCBI: GCA_002946735.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.69	no
125438	anaerobic	anaerobicⓘ	no	93.43	yes
125438	aerobic	aerobicⓘ	no	64.50	yes
125438	spore-forming	spore-formingⓘ	no	87.90	no
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	yes	69.02	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Development of a Droplet Digital Polymerase Chain Reaction for Rapid and Simultaneous Identification of Common Foodborne Pathogens in Soft Cheese.	Cremonesi P, Cortimiglia C, Picozzi C, Minozzi G, Malvisi M, Luini M, Castiglioni B.	Front Microbiol	10.3389/fmicb.2016.01725	2016
	Occurrence of CRISPR-Cas genes and lack of association with antibiotic resistance in Shigella isolates collected from patients with diarrhea in Ahvaz, southwest Iran.	Ekrami A, Taheri B, Daneshfar S, Moradi M, Ghorbani A, Akhash N, Jafarzadeh Z, Farshadzadeh Z, Saki M.	BMC Infect Dis	10.1186/s12879-025-12100-0	2025
	Green Solid-State Synthesis of Antibacterial Binary Organic Material: Crystal Growth, Physicochemical Properties, Thermal Study, Antibacterial Activity, and Hirshfeld Surface Analysis.	Rai A, Chaudhary S, Dube SP, Bajda S, Raghuwanshi R, Mishra SK, Palumbo G, Rai RN.	Int J Mol Sci	10.3390/ijms26125509	2025
	Complete Genome Sequences of Five SO-1-Like Siphoviridae Bacteriophages That Infect Enterobacteriales.	Purnell MG, Andersen K, Bell A, Briscoe JT, Brown HMF, Carr EL, Doney J, Folsom PF, Green C, Harris EH, Huhem E, Jensen RM, Johnson L, Jones C, Lambert AS, Loertscher E, Newey CR, Porter M, Rallison J, Sharma R, Sork C, Soule S, Stewart JB, Stoker T, Tayler S, Thompson DW, Thurgood TL, Walker J, Breakwell DP, Casjens SR, Grose JH.	Microbiol Resour Announc	10.1128/mra.01224-21	2022
Phylogeny	Characterization of Shigella flexneri Serotype 6 Strains Isolated from Bangladesh and Identification of a New Phylogenetic Cluster.	Shahnaij M, Amin MB, Hoque MM, Mondol AS, Rana KJ, Azmi IJ, Talukder KA.	J Bacteriol	10.1128/jb.00406-22	2023
	Berberine and its nanoformulations and extracts: potential strategies and future perspectives against multi-drug resistant bacterial infections.	Yang X, Wang Y, Li L, Tang D, Yan Z, Li M, Jiang J, Bi D.	Front Microbiol	10.3389/fmicb.2025.1643409	2025
	Immunogenicity and preclinical efficacy characterization of ShecVax, a combined vaccine against Shigella and enterotoxigenic Escherichia coli.	Li S, Upadhyay I, Seo H, Vakamalla SSR, Madhwal A, Sack DA, Zhang W.	Infect Immun	10.1128/iai.00004-25	2025
	Prevalence of Shigella boydii in Bangladesh: Isolation and Characterization of a Rare Phage MK-13 That Can Robustly Identify Shigellosis Caused by Shigella boydii Type 1.	Akter M, Brown N, Clokie M, Yeasmin M, Tareq TM, Baddam R, Azad MAK, Ghosh AN, Ahmed N, Talukder KA.	Front Microbiol	10.3389/fmicb.2019.02461	2019
Genetics	Multiple Mechanisms Confer Resistance to Azithromycin in Shigella in Bangladesh: a Comprehensive Whole Genome-Based Approach.	Nusrin S, Asad A, Hayat S, Islam B, Begum R, Nabila FH, Islam Z.	Microbiol Spectr	10.1128/spectrum.00741-22	2022
	Pullulan or chitosan based active coating by incorporating polyphenols from lemon peel in raw poultry meat.	Maru VR, Gupta S, Ranade V, Variyar PS.	J Food Sci Technol	10.1007/s13197-020-04841-4	2021
	In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760.	Shrestha P, Karmacharya J, Han SR, Park H, Oh TJ.	Virulence	10.1080/21505594.2022.2117679	2022
	Efficiency of Biosynthesized Silver and Zinc Nanoparticles Against Multi-Drug Resistant Pathogens.	Punjabi K, Mehta S, Chavan R, Chitalia V, Deogharkar D, Deshpande S.	Front Microbiol	10.3389/fmicb.2018.02207	2018
Biotechnology	Multiplex 16S rRNA-derived geno-biochip for detection of 16 bacterial pathogens from contaminated foods.	Shin HH, Hwang BH, Cha HJ.	Biotechnol J	10.1002/biot.201600043	2016
	Bacteriophages Isolated From Turkeys Infecting Diverse Salmonella Serovars.	Lu Z, Marchant J, Thompson S, Melgarejo H, Ignatova D, Kopic S, Damaj R, Trejo H, Paramo R, Reed A, Breidt F, Kathariou S.	Front Microbiol	10.3389/fmicb.2022.933751	2022
Phylogeny	Specific discrimination of three pathogenic Salmonella enterica subsp. enterica serotypes by carB-based oligonucleotide microarray.	Shin HH, Hwang BH, Seo JH, Cha HJ.	Appl Environ Microbiol	10.1128/aem.02978-13	2014
	In Silico Analysis of the cadF Gene and Development of a Duplex Polymerase Chain Reaction for Species-Specific Identification of Campylobacter jejuni and Campylobacter coli.	Shams S, Bakhshi B, Tohidi Moghadam T.	Jundishapur J Microbiol	10.5812/jjm.29645	2016
Enzymology	Development of a Flow Cytometry-Based Method for Rapid Detection of Escherichia coli and Shigella Spp. Using an Oligonucleotide Probe.	Xue Y, Wilkes JG, Moskal TJ, Williams AJ, Cooper WM, Nayak R, Rafii F, Buzatu DA.	PLoS One	10.1371/journal.pone.0150038	2016
	Rapid single cell detection of Staphylococcus aureus by aptamer-conjugated gold nanoparticles.	Chang YC, Yang CY, Sun RL, Cheng YF, Kao WC, Yang PC.	Sci Rep	10.1038/srep01863	2013
Enzymology	Rapid concentration and molecular enrichment approach for sensitive detection of Escherichia coli and Shigella species in potable water samples.	Maheux AF, Bissonnette L, Boissinot M, Bernier JL, Huppe V, Picard FJ, Berube E, Bergeron MG.	Appl Environ Microbiol	10.1128/aem.02337-10	2011
	Development and evaluation of oligonucleotide chip based on the 16S-23S rRNA gene spacer region for detection of pathogenic microorganisms associated with sepsis.	Kim CM, Song ES, Jang HJ, Kim HJ, Lee S, Shin JH, Kim SJ, Jeong SH, Jeong J, Koh K, Choi GE, Lee EY, Chang CL.	J Clin Microbiol	10.1128/jcm.01130-09	2010
Phylogeny	Direct identification of Vibrio vulnificus in clinical specimens by nested PCR.	Lee SE, Kim SY, Kim SJ, Kim HS, Shin JH, Choi SH, Chung SS, Rhee JH.	J Clin Microbiol	10.1128/jcm.36.10.2887-2892.1998	1998
	Analysis of the type 1 pilin gene cluster fim in Salmonella: its distinct evolutionary histories in the 5' and 3' regions.	Boyd EF, Hartl DL.	J Bacteriol	10.1128/jb.181.4.1301-1308.1999	1999
	A broadly immunogenic polyvalent Shigella multiepitope fusion antigen protein protects against Shigella sonnei and Shigella flexneri lethal pulmonary challenges in mice.	Li S, Anvari S, Ptacek G, Upadhyay I, Kaminski RW, Sack DA, Zhang W.	Infect Immun	10.1128/iai.00316-23	2023
Phylogeny	Selection and validation of a multilocus variable-number tandem-repeat analysis panel for typing Shigella spp.	Gorge O, Lopez S, Hilaire V, Lisanti O, Ramisse V, Vergnaud G.	J Clin Microbiol	10.1128/jcm.02027-07	2008
Enzymology	Evaluation of antibacterial activity, phenol and flavonoid contents of Thespesia populnea flower extracts.	Saravanakumar A, Venkateshwaran K, Vanitha J, Ganesh M, Vasudevan M, Sivakumar T	Pak J Pharm Sci		2009
	Determination of the profile of fatty acids of 4 species of Shigella spp by chromatography of gases.	Robles Valderrama E, Hurtado Bocanegra MD, Gonzalez Arreaga ME, Ramirez Garcia P, Duran Diaz A, Ayala Patino R, Martinez Perez ME	Rev Latinoam Microbiol		2002

References

#3205	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 7532
#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 )
#40739	; Curators of the CIP;
#58445	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 49022
#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) .
#68368	Automatically annotated from API 20E .
#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 .
#116980	Collection of Institut Pasteur ; Curators of the CIP; CIP 82.50
#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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Shigella boydii (DSM 7532, ATCC 8700, CCUG 49022)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20E

API zym

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_016726285

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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