Porphyromonas macacae (CCUG 41933, ATCC 49407, NCTC 11632)

Name: Porphyromonas macacae (CCUG 41933, ATCC 49407, NCTC 11632)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 150673

Type strain

Culture col. no. CCUG 41933 ATCC 49407 NCTC 11632 VPB 157 CCUG 33478 1 more

NCBI tax ID(s) 1236521 28115

Special Collections CCUG JCM

History STAFF <-- ATCC 49407 <-- NCTC 11632 <-- D. N. Love.

Links

Porphyromonas macacae CCUG 41933 is an anaerobe, mesophilic prokaryote that was isolated from Subcutaneous abscess of cat.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 46879

ATCC 49407,NCTC 11632,CCUG 33478,CCUG 41933

@ref 20215

Last LPSN update 2025-12-16 10:06:09

Domain Pseudomonadati

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Porphyromonadaceae

Genus Porphyromonas

Species Porphyromonas macacae

Full scientific name Porphyromonas macacae (Slots and Genco 1980) Love 1995

Synonyms (4)

Bacteroides melaninogenicus subsp. macacae
Bacteroides macacae
Bacteroides salivosus
Porphyromonas salivosa

BacDive ID	Other strains from **Porphyromonas macacae** (1)	Type strain
12504	P. macacae 7728-L6C, DSM 20710, ATCC 33141, CCUG 47703, ... (type strain)

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	94.399
125439	negative	99.6

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
55268	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
55268	anaerobe
125439	obligate anaerobe	90.7

Spore formation

@ref	Spore formation	Confidence
125438		92.224
125439		99.7

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	glycogen metabolism	100	5 of 5
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	ppGpp biosynthesis	100	4 of 4
66794	biotin biosynthesis	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	adipate degradation	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	NAD metabolism	94.44	17 of 18
66794	palmitate biosynthesis	90.91	20 of 22
66794	lipid A biosynthesis	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	propanol degradation	85.71	6 of 7
66794	vitamin B1 metabolism	84.62	11 of 13
66794	pentose phosphate pathway	81.82	9 of 11
66794	vitamin B6 metabolism	81.82	9 of 11
66794	starch degradation	80	8 of 10
66794	peptidoglycan biosynthesis	80	12 of 15
66794	flavin biosynthesis	80	12 of 15
66794	vitamin B12 metabolism	79.41	27 of 34
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	butanoate fermentation	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	alanine metabolism	72.41	21 of 29
66794	heme metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	photosynthesis	71.43	10 of 14
66794	threonine metabolism	70	7 of 10
66794	propionate fermentation	70	7 of 10
66794	purine metabolism	68.09	64 of 94
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	octane oxidation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	pyrimidine metabolism	66.67	30 of 45
66794	formaldehyde oxidation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	glycolysis	64.71	11 of 17
66794	isoleucine metabolism	62.5	5 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	gluconeogenesis	62.5	5 of 8
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	phenylalanine metabolism	61.54	8 of 13
66794	lipoate biosynthesis	60	3 of 5
66794	methylglyoxal degradation	60	3 of 5
66794	hydrogen production	60	3 of 5
66794	aspartate and asparagine metabolism	55.56	5 of 9
66794	histidine metabolism	55.17	16 of 29
66794	phosphatidylethanolamine bioynthesis	53.85	7 of 13
66794	lipid metabolism	51.61	16 of 31
66794	coenzyme M biosynthesis	50	5 of 10
66794	suberin monomers biosynthesis	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	pantothenate biosynthesis	50	3 of 6
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	ethanol fermentation	50	1 of 2
66794	selenocysteine biosynthesis	50	3 of 6
66794	lysine metabolism	50	21 of 42
66794	citric acid cycle	50	7 of 14
66794	non-pathway related	47.37	18 of 38
66794	tryptophan metabolism	47.37	18 of 38
66794	methionine metabolism	46.15	12 of 26
66794	proline metabolism	45.45	5 of 11
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	glycine betaine biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	oxidative phosphorylation	39.56	36 of 91
66794	polyamine pathway	39.13	9 of 23
66794	urea cycle	38.46	5 of 13
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	ketogluconate metabolism	37.5	3 of 8
66794	arginine metabolism	37.5	9 of 24
66794	tyrosine metabolism	35.71	5 of 14
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	UDP-GlcNAc biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	nitrate assimilation	33.33	3 of 9
66794	valine metabolism	33.33	3 of 9
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	sulfate reduction	30.77	4 of 13
66794	Entner Doudoroff pathway	30	3 of 10
66794	reductive acetyl coenzyme A pathway	28.57	2 of 7
66794	ubiquinone biosynthesis	28.57	2 of 7
66794	degradation of hexoses	27.78	5 of 18
66794	cysteine metabolism	27.78	5 of 18
66794	ascorbate metabolism	27.27	6 of 22
66794	metabolism of disaccharids	27.27	3 of 11
66794	degradation of sugar alcohols	25	4 of 16
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	degradation of sugar acids	24	6 of 25
66794	leucine metabolism	23.08	3 of 13
66794	glutathione metabolism	21.43	3 of 14
66794	degradation of pentoses	21.43	6 of 28

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Felidae (Cat)
#Host Body-Site	#Other	#Wound
#Host Body-Site	#Organ	#Skin, Nail, Hair

Isolation

@ref	Sample type
55268	Subcutaneous abscess of cat
67770	Soft-tissue infections and normal gingival margins from cats

Taxonmaps

69479

Global distribution of 16S sequence AB547666 (>99% sequence identity) for Porphyromonas macacae subclade from Microbeatlas

Aquatic Samples	93
Soil Samples	91
Animal Samples	3500
Plant Samples	47
Total Samples	3731

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	57530_F01 assembly for Porphyromonas macacae NCTC11632	contig	GCA_900454765	28115.12	2814123386	28115	77.55
67770	ASM61438v1 assembly for Porphyromonas macacae JCM 15984	contig	GCA_000614385	1236521.3	2585427890	1236521	49.15

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Porphyromonas macacae gene for 16S ribosomal RNA, partial sequence, strain: JCM 15984	AB547666	1493		28115
124043	Porphyromonas macacae strain ATCC 49407 16S-23S ribosomal RNA intergenic spacer, partial sequence.	AY546488	880		28115

GC content

@ref	GC-content (mol%)	Method
67770	42	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Porphyromonas macacae JCM 15984
NCBI: GCA_000614385

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	90.70	no
125439	gram_stain	BacteriaNetⓘ	negative	99.60	no
125439	motility	BacteriaNetⓘ	no	70.10	no
125439	spore_formation	BacteriaNetⓘ	no	99.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Porphyromonas macacae JCM 15984
PATRIC: 1236521.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.40	no
125438	anaerobic	anaerobicⓘ	yes	86.65	no
125438	spore-forming	spore-formingⓘ	no	92.22	no
125438	aerobic	aerobicⓘ	no	92.06	no
125438	thermophilic	thermophileⓘ	no	93.83	yes
125438	flagellated	motile2+ⓘ	no	88.60	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Relationship between aging and periodontal disease severity in gauge-raised cynomolgus monkeys (Macaca fascicularis).	Sone T, Komaki M, Sankai T, Hiramine H, Watanabe K, Hamada N, Kodama T.	Exp Anim	10.1538/expanim.23-0141	2024
Enzymology	Detection of Porphyromonas gingivalis from saliva by PCR by using a simple sample-processing method.	Matto J, Saarela M, Alaluusua S, Oja V, Jousimies-Somer H, Asikainen S.	J Clin Microbiol	10.1128/jcm.36.1.157-160.1998	1998
	Impact of Periodontal Disease on the Oral Microbiome of Cats.	Thomson P, Santibanez R, Garrido D, Iturriaga MP, Flores C.	Curr Microbiol	10.1007/s00284-025-04216-y	2025
	Lipoteichoic acid from a canine probiotic strain Lacticaseibacillus rhamnosus possesses anti-biofilm capacity against clinically isolated canine periodontopathic Porphyromonas species.	Park S, Shin J, Jun W, Lee D, Kim S, Ha DU, Im J, Han SH.	Microb Pathog	10.1016/j.micpath.2025.107660	2025
	Antimicrobial susceptibility of Porphyromonas spp. isolated from dogs with periodontal disease in South Korea.	Kim T, Choi YD, Hur W, Lee SW, La TM.	Front Vet Sci	10.3389/fvets.2025.1684907	2025
	Erythritol inhibits the growth of periodontal-disease-associated bacteria isolated from canine oral cavity.	Shimizu M, Miyawaki S, Kuroda T, Umeta M, Kawabe M, Watanabe K.	Heliyon	10.1016/j.heliyon.2022.e10224	2022
	Volatile Sulfur Compounds Produced by the Anaerobic Bacteria Porphyromonas spp. Isolated from the Oral Cavities of Dogs.	Ito N, Itoh N, Kameshima S.	Vet Sci	10.3390/vetsci10080503	2023
	Microbial Composition of Extracted Dental Alveoli in Dogs with Advanced Periodontitis.	Sakarnyte L, Mockeliunas R, Siugzdiniene R, Merkeviciene L, Virgailis M, Dailidaviciene J, Streimikyte-Mockeliune Z, Ruzauskas M.	Microorganisms	10.3390/microorganisms12071455	2024
	Evaluation of the antibacterial effect of Epigallocatechin gallate on the major pathogens of canine periodontal disease and therapeutic effects on periodontal disease mice.	Song P, Hao Y, Lin D, Jin Y, Lin J.	Front Microbiol	10.3389/fmicb.2023.1329772	2023
	In vitro effectiveness of pomegranate extract present in pet oral hygiene products against canine oral bacterial species.	Stephen AS, Nicolas CS, Lloret F, Allaker RP.	Vet World	10.14202/vetworld.2022.1714-1718	2022
	HmuY proteins of the Porphyromonas genus show diversity in heme-binding properties.	Smiga M, Olczak T.	Front Cell Infect Microbiol	10.3389/fcimb.2025.1560779	2025
	cAMP-independent Crp homolog adds to the multi-layer regulatory network in Porphyromonas gingivalis.	Smiga M, Roszkiewicz E, Slezak P, Tracz M, Olczak T.	Front Cell Infect Microbiol	10.3389/fcimb.2025.1535009	2025
	Erythritol alters phosphotransferase gene expression and inhibits the in vitro growth of Staphylococcus coagulans isolated from canines with pyoderma.	Onishi-Sakamoto S, Fujii T, Watanabe K, Makida R, Iyori K, Toyoda Y, Tochio T, Nishifuji K.	Front Vet Sci	10.3389/fvets.2023.1272595	2023
Pathogenicity	OHMI: the ontology of host-microbiome interactions.	He Y, Wang H, Zheng J, Beiting DP, Masci AM, Yu H, Liu K, Wu J, Curtis JL, Smith B, Alekseyenko AV, Obeid JS.	J Biomed Semantics	10.1186/s13326-019-0217-1	2019
	Postbiotic Lactiplantibacillus plantarum CECT 9161 Influences the Canine Oral Metagenome and Reduces Plaque Biofilm Formation.	Florit-Ruiz A, Rago L, Rojas A, Guzelkhanova B, Pont-Beltran A, Lamelas A, Solaz-Fuster MC, Martinez-Blanch JF, Lopez ME, Garcia-Lainez G, Rosier BT, Day R, Rubio T, Batchelor R, Nixon SL.	Animals (Basel)	10.3390/ani15111615	2025
Pathogenicity	In vitro efficacy of cefovecin against anaerobic bacteria isolated from subgingival plaque of dogs and cats with periodontal disease.	Khazandi M, Bird PS, Owens J, Wilson G, Meyer JN, Trott DJ.	Anaerobe	10.1016/j.anaerobe.2014.06.001	2014
Pathogenicity	Cannabinoid control of gingival immune activation in chronically SIV-infected rhesus macaques involves modulation of the indoleamine-2,3-dioxygenase-1 pathway and salivary microbiome.	McDew-White M, Lee E, Alvarez X, Sestak K, Ling BJ, Byrareddy SN, Okeoma CM, Mohan M.	EBioMedicine	10.1016/j.ebiom.2021.103769	2022
Pathogenicity	Occurrence and antimicrobial susceptibility of Porphyromonas spp. and Fusobacterium spp. in dogs with and without periodontitis.	Senhorinho GN, Nakano V, Liu C, Song Y, Finegold SM, Avila-Campos MJ.	Anaerobe	10.1016/j.anaerobe.2012.04.008	2012
	Oral microbial profile variation during canine ligature-induced peri-implantitis development.	Qiao S, Wu D, Wang M, Qian S, Zhu Y, Shi J, Wei Y, Lai H.	BMC Microbiol	10.1186/s12866-020-01982-6	2020
	The Oral Microbiome across Oral Sites in Cats with Chronic Gingivostomatitis, Periodontal Disease, and Tooth Resorption Compared with Healthy Cats.	Anderson JG, Rojas CA, Scarsella E, Entrolezo Z, Jospin G, Hoffman SL, Force J, MacLellan RH, Peak M, Shope BH, Tsugawa AJ, Ganz HH.	Animals (Basel)	10.3390/ani13223544	2023
	The Bacteroidetes Q-rule and glutaminyl cyclase activity increase the stability of extracytoplasmic proteins.	Szczesniak K, Veillard F, Scavenius C, Chudzik K, Ferenc K, Bochtler M, Potempa J, Mizgalska D.	mBio	10.1128/mbio.00980-23	2023
	Study of microbiocenosis of canine dental biofilms.	Kacirova J, Madari A, Mucha R, Fecskeova LK, Mujakic I, Koblizek M, Nemcova R, Madar M.	Sci Rep	10.1038/s41598-021-99342-5	2021
	Fecal and vaginal microbiota of vaccinated and non-vaccinated pregnant elk challenged with Brucella abortus.	Tibbs-Cortes BW, Rahic-Seggerman FM, Schmitz-Esser S, Boggiatto PM, Olsen S, Putz EJ.	Front Vet Sci	10.3389/fvets.2024.1334858	2024
Genetics	Comparative Genomics of the Genus Porphyromonas Identifies Adaptations for Heme Synthesis within the Prevalent Canine Oral Species Porphyromonas cangingivalis.	O'Flynn C, Deusch O, Darling AE, Eisen JA, Wallis C, Davis IJ, Harris SJ.	Genome Biol Evol	10.1093/gbe/evv220	2015
Enzymology	Engineering the Direct Repeat Sequence of crRNA for Optimization of FnCpf1-Mediated Genome Editing in Human Cells.	Lin L, He X, Zhao T, Gu L, Liu Y, Liu X, Liu H, Yang F, Tu M, Tang L, Ge X, Liu C, Zhao J, Song Z, Qu J, Gu F.	Mol Ther	10.1016/j.ymthe.2018.08.021	2018
	Engineering CRISPR-Cpf1 crRNAs and mRNAs to maximize genome editing efficiency.	Li B, Zhao W, Luo X, Zhang X, Li C, Zeng C, Dong Y.	Nat Biomed Eng	10.1038/s41551-017-0066	2017
	Molecular, physiological and phylogenetic traits of Lactococcus 936-type phages from distinct dairy environments.	Chmielewska-Jeznach M, Bardowski JK, Szczepankowska AK.	Sci Rep	10.1038/s41598-018-30371-3	2018
Pathogenicity	Activities of telithromycin (HMR 3647, RU 66647) compared to those of erythromycin, azithromycin, clarithromycin, roxithromycin, and other antimicrobial agents against unusual anaerobes.	Goldstein EJ, Citron DM, Merriam CV, Warren Y, Tyrrell K.	Antimicrob Agents Chemother	10.1128/aac.43.11.2801	1999
Pathogenicity	Activities of gemifloxacin (SB 265805, LB20304) compared to those of other oral antimicrobial agents against unusual anaerobes.	Goldstein EJ, Citron DM, Vreni Merriam C, Tyrrell K, Warren Y.	Antimicrob Agents Chemother	10.1128/aac.43.11.2726	1999
Pathogenicity	Activities of HMR 3004 (RU 64004) and HMR 3647 (RU 66647) compared to those of erythromycin, azithromycin, clarithromycin, roxithromycin, and eight other antimicrobial agents against unusual aerobic and anaerobic human and animal bite pathogens isolated from skin and soft tissue infections in humans.	Goldstein EJ, Citron DM, Hunt Gerardo S, Hudspeth M, Merriam CV.	Antimicrob Agents Chemother	10.1128/aac.42.5.1127	1998
Phylogeny	Direct identification of bacteria from positive blood cultures by amplification and sequencing of the 16S rRNA gene: evaluation of BACTEC 9240 instrument true-positive and false-positive results.	Qian Q, Tang YW, Kolbert CP, Torgerson CA, Hughes JG, Vetter EA, Harmsen WS, Montgomery SO, Cockerill FR, Persing DH.	J Clin Microbiol	10.1128/jcm.39.10.3578-3582.2001	2001
Phylogeny	Culture-independent analysis of gut bacteria: the pig gastrointestinal tract microbiota revisited.	Leser TD, Amenuvor JZ, Jensen TK, Lindecrona RH, Boye M, Moller K.	Appl Environ Microbiol	10.1128/aem.68.2.673-690.2002	2002
Pathogenicity	Purification and characterization of a fimbrial protein from Porphyromonas salivosa ATCC 49407.	Koyata Y, Watanabe K, Toyama T, Sasaki H, Hamada N	J Vet Med Sci	10.1292/jvms.19-0067	2019
Enzymology	Serum antibody responses of cats to soluble whole cell antigens and isolated fimbriae of feline Porphyromonas salivosa (macacae) and associations with periodontal disease.	Norris JM, Love DN	Vet Microbiol	10.1016/s0378-1135(00)00361-8	2001
Phylogeny	Porphyromonas somerae sp. nov., a pathogen isolated from humans and distinct from porphyromonas levii.	Summanen PH, Durmaz B, Vaisanen ML, Liu C, Molitoris D, Eerola E, Helander IM, Finegold SM.	J Clin Microbiol	10.1128/jcm.43.9.4455-4459.2005	2005
Phylogeny	Porphyromonas gingivicanis sp. nov. and Porphyromonas crevioricanis sp. nov., isolated from beagles.	Hirasawa M, Takada K	Int J Syst Bacteriol	10.1099/00207713-44-4-637	1994

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 )
#55268	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 41933
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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 .
#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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Porphyromonas macacae (CCUG 41933, ATCC 49407, NCTC 11632)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_900454765

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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