Phocaeicola coprocola (DSM 17136, JCM 12979, CCUG 54635)

Name: Phocaeicola coprocola (DSM 17136, JCM 12979, CCUG 54635)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1608

Type strain

Strain Designation M16

Culture col. no. DSM 17136 JCM 12979 CCUG 54635 M16

NCBI tax ID(s) 470145 310298

Special Collections DSMZ CCUG JCM Literature strains

History DSMZ <- M. Kitahara; M16 JCM <-- M. Kitahara M16.

Links

Phocaeicola coprocola M16 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from human feces.

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

Name and taxonomic classification

SI-ID 231853

JCM 12979,DSM 17136,CCUG 54635

@ref 20215

Last LPSN update 2026-05-29 08:25:18

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Bacteroidaceae

Genus Phocaeicola

Species Phocaeicola coprocola

Full scientific name Phocaeicola coprocola (Kitahara et al. 2005) García-López et al. 2020

Synonyms (1)

Bacteroides coprocola

BacDive ID	Other strains from **Phocaeicola coprocola** (2)	Type strain
161295	P. coprocola JCM 12980
161296	P. coprocola JCM 12981

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31548	negative	2.5 µm	0.8 µm	rod-shaped
125438	negative				96.624
125439	negative				97.825

Colony morphology

6783

Incubation period2-3 days

Pigmentation

31548

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6783	CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110)		Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water
6783	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
6783	positive	growth	37
31548	positive	optimum	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
6783	anaerobe
31548	anaerobe
125438	anaerobe	91.798
125439	obligate anaerobe	99.562

Spore formation

@ref	Spore formation	Confidence
31548
125439		99.948
125438		92.436

Observation

@ref	Observation
31548	aggregates in clumps
67770	quinones: MK-10, MK-11

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
31548	17057 ChEBI	cellobiose	+	carbon source
68367	17057 ChEBI	cellobiose	+	builds acid from	from API 20A
68367	17634 ChEBI	D-glucose	+	builds acid from	from API 20A
68367	16899 ChEBI	D-mannitol	-	builds acid from	from API 20A
68367	16024 ChEBI	D-mannose	+	builds acid from	from API 20A
68367	65327 ChEBI	D-xylose	+	builds acid from	from API 20A
31548	4853 ChEBI	esculin	+	hydrolysis
68367	4853 ChEBI	esculin	+	hydrolysis	from API 20A
68367	5291 ChEBI	gelatin	-	hydrolysis	from API 20A
31548	17234 ChEBI	glucose	+	carbon source
68367	17754 ChEBI	glycerol	-	builds acid from	from API 20A
68367	30849 ChEBI	L-arabinose	-	builds acid from	from API 20A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
31548	17716 ChEBI	lactose	+	carbon source
68367	17716 ChEBI	lactose	+	builds acid from	from API 20A
31548	17306 ChEBI	maltose	+	carbon source
68367	17306 ChEBI	maltose	+	builds acid from	from API 20A
31548	37684 ChEBI	mannose	+	carbon source
68367	6731 ChEBI	melezitose	-	builds acid from	from API 20A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68367	16634 ChEBI	raffinose	+	builds acid from	from API 20A
31548	26546 ChEBI	rhamnose	+	carbon source
31548	17814 ChEBI	salicin	+	carbon source
68367	17814 ChEBI	salicin	+	builds acid from	from API 20A
31548	30911 ChEBI	sorbitol	+	carbon source
68367	30911 ChEBI	sorbitol	-	builds acid from	from API 20A
68367	17992 ChEBI	sucrose	+	builds acid from	from API 20A
31548	27082 ChEBI	trehalose	+	carbon source
68367	27082 ChEBI	trehalose	-	builds acid from	from API 20A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68367	27897 ChEBI	tryptophan	-	energy source	from API 20A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A
68367	16199 ChEBI	urea	-	hydrolysis	from API 20A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A
68367	35581 ChEBI	indole		from API 20A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	-	from API rID32A
68367	35581 ChEBI	indole	-	from API 20A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	+	3.4.11.2	from API rID32A
31548	alkaline phosphatase	+	3.1.3.1
68380	alkaline phosphatase	+	3.1.3.1	from API rID32A
68380	alpha-fucosidase	+	3.2.1.51	from API rID32A
31548	alpha-galactosidase	+	3.2.1.22
68380	alpha-galactosidase	+	3.2.1.22	from API rID32A
68380	alpha-glucosidase	+	3.2.1.20	from API rID32A
68380	arginine dihydrolase	-	3.5.3.6	from API rID32A
68380	beta-galactosidase	+	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	+	3.2.1.21	from API rID32A
68367	beta-glucosidase	+	3.2.1.21	from API 20A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
6783	catalase	-	1.11.1.6
68367	catalase	-	1.11.1.6	from API 20A
6783	cytochrome-c oxidase	-	1.9.3.1
68367	gelatinase	-		from API 20A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glycin arylamidase	-		from API rID32A
68380	histidine arylamidase	-		from API rID32A
68380	L-arginine arylamidase	-		from API rID32A
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	+	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	+	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A
68367	urease	-	3.5.1.5	from API 20A

API 20A

@ref	IND	URE	GLU	MAN	LAC	SAC	MAL	SAL	XYL	ARA	GEL	ESC	GLY	CEL	MNE	MLZ	RAF	SOR	RHA	TRE	CAT	Spores presentSPOR	GramGRAM	Morphology coccus="+" rod="-"COCC
6783	-	-	+	-	+	+	+	+	+	-	-	+	-	+	+	-	+	-	+/-	-	-	not determinedn.d.	not determinedn.d.	not determinedn.d.
6783	-	-	+	-	+	+	+	+	+	-	-	+	-	+	+	-	+	-	+	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
6783	-	-	+	+	-	+	+	+/-	-	+	+	+	-	+	-	-	+	-	-	+	-	-	-	-	+	-	-	+	-
6783	-	-	+	+	-	+	+	-	-	+	-	-	-	+	-	-	+	-	-	+	-	-	-	-	+	-	-	+/-	-
6783	-	-	+	+	-	+	+	-	-	+	+	+	-	+	-	-	+	-	-	+	-	-	-	-	+	-	-	+/-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Host species	Country	Country ISO 3 Code	Continent
6783	human feces	Homo sapiens	Japan	JPN	Asia
60272	Human feces	Homo sapiens	Japan	JPN	Asia
67770	Human feces	Homo sapiens

Taxonmaps

69479

Global distribution of 16S sequence AB200224 (>99% sequence identity) for Phocaeicola coprocola subclade from Microbeatlas

Aquatic Samples	11373
Soil Samples	2696
Animal Samples	155260
Plant Samples	888
Total Samples	170217

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6783	1	Risk group (German 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	ASM2073123v1 assembly for Phocaeicola coprocola DSM 17136 FDAARGOS_1577	contig	GCA_020731235	470145.67	8111972984	470145	65.3
67770	ASM15484v1 assembly for Phocaeicola coprocola DSM 17136	scaffold	GCA_000154845	470145.6	642791613	470145	52.9

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	UNVERIFIED: Bacteroides coprocola 16S ribosomal RNA and tRNA-Ile-like gene, partial sequence	EU136688	1853		310298
6783	Bacteroides coprocola gene for 16S rRNA, partial sequence, strain: M16	AB200224	1490		470145

GC content

@ref	GC-content (mol%)	Method
6783	42.4
67770	42.4	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: ASM2073123v1 assembly for Phocaeicola coprocola DSM 17136 FDAARGOS_1577
NCBI: GCA_020731235

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	99.56	no
125439	gram_stain	BacteriaNetⓘ	negative	97.83	no
125439	motility	BacteriaNetⓘ	no	84.71	no
125439	spore_formation	BacteriaNetⓘ	no	99.95	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacteroides coprocola DSM 17136
PATRIC: 470145.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.62	no
125438	anaerobic	anaerobicⓘ	yes	91.80	yes
125438	spore-forming	spore-formingⓘ	no	92.44	no
125438	thermophilic	thermophileⓘ	no	93.30	no
125438	aerobic	aerobicⓘ	no	93.61	yes
125438	flagellated	motile2+ⓘ	no	88.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Probiotic potential of Phocaeicola coprocola in modulating learning and memory behaviors in the honeybee model.	Xu M, Zhang X, Luo X, Zhou G, Zhang N, Chi X, Ren R, Peng L, Sun G, Yang Y.	Front Microbiol	10.3389/fmicb.2025.1479992	2025
Pathogenicity	Exploring the Interplay of Gut Microbiota and Systemic Inflammation in Pediatric Obstructive Sleep Apnea Syndrome and Its Impact on Blood Pressure Status: A Cross-Sectional Study.	Huang CG, Lin WN, Hsin LJ, Fang TJ, Li HY, Lee CC, Lee LA.	Int J Mol Sci	10.3390/ijms252413344	2024
	Changes in the intestinal microbiota of broiler chicken induced by dietary supplementation of the diatomite-bentonite mixture.	Wesierska E, Micek P, Adamski MG, Gondek K, Lis M, Trela M, Wojtysiak D, Kowal J, Wyrobisz-Papiewska A, Kunstman G, Mosiolek S, Smoron K.	BMC Vet Res	10.1186/s12917-024-04439-4	2025
	Monochromatic Light Impacts the Growth Performance, Intestinal Morphology, Barrier Function, Antioxidant Status, and Microflora of Yangzhou Geese.	Luo G, Cheng Y, Xu Y, Liu J, Yang W, Liu J, Guo B, Zhu H.	Animals (Basel)	10.3390/ani15121815	2025
	Fecal microbiota transplantation improves bile acid malabsorption in patients with inflammatory bowel disease: results of microbiota and metabolites from two cohort studies.	Lu G, Zhang S, Wang R, Wu X, Chen Y, Wen Q, Cui B, Zhang F, Li P.	BMC Med	10.1186/s12916-025-04353-y	2025
	Difficulties in developmental follow-up of preterm neonates in a randomised-controlled trial of Bifidobacterium breve M16-V - Experience from Western Australia.	Agrawal S, Pestell CF, Granich J, Rao S, Nathan E, Wray JA, Whitehouse AJO, Patole S.	Early Hum Dev	10.1016/j.earlhumdev.2020.105165	2020
	Surface display of eugenol oxidase and dioxygenase complex as a sustainable biocatalyst for efficient bioconversion of lignin-derived 4-n-propylguaiacol to vanillin.	Tian Y, Yang Y, Ni M, Wo J.	Microb Cell Fact	10.1186/s12934-025-02680-6	2025
	Lactiplantibacillus plantarum for the Preparation of Fermented Low-Bitter Enzymatic Skim Milk with Antioxidant Ability.	Jiang Y, Zhang L, Jin Y, Xu H, Liang Y, Xia Z, Zhang C, Guan C, Qu H, Wa Y, Wang W, Huang Y, Gu R, Chen D.	Foods	10.3390/foods13233828	2024
Phylogeny	Effect of Geography and Captivity on Scat Bacterial Communities in the Imperiled Channel Island Fox.	Adams NE, Becker MA, Edmands S.	Front Microbiol	10.3389/fmicb.2021.748323	2021
	Effect of Fecal Microbiota Transplantation on Non-Alcoholic Fatty Liver Disease: A Randomized Clinical Trial.	Xue L, Deng Z, Luo W, He X, Chen Y.	Front Cell Infect Microbiol	10.3389/fcimb.2022.759306	2022
	A multi-strain probiotic blend reshaped obesity-related gut dysbiosis and improved lipid metabolism in obese children.	Chen AC, Fang TJ, Ho HH, Chen JF, Kuo YW, Huang YY, Tsai SY, Wu SF, Lin HC, Yeh YT.	Front Nutr	10.3389/fnut.2022.922993	2022
	Host-genotype-dependent cecal microbes are linked to breast muscle metabolites in Chinese chickens.	Feng Y, Liu D, Liu Y, Yang X, Zhang M, Wei F, Li D, Hu Y, Guo Y.	iScience	10.1016/j.isci.2022.104469	2022
	Gut Microbiota Dysbiosis in Patients with Biopsy-Proven Nonalcoholic Fatty Liver Disease: A Cross-Sectional Study in Taiwan.	Tsai MC, Liu YY, Lin CC, Wang CC, Wu YJ, Yong CC, Chen KD, Chuah SK, Yao CC, Huang PY, Chen CH, Hu TH, Chen CL.	Nutrients	10.3390/nu12030820	2020
	Microbial Community Profiling Distinguishes Left-Sided and Right-Sided Colon Cancer.	Zhong M, Xiong Y, Ye Z, Zhao J, Zhong L, Liu Y, Zhu Y, Tian L, Qiu X, Hong X.	Front Cell Infect Microbiol	10.3389/fcimb.2020.498502	2020
	The biodiversity of Lactobacillus spp. from Iranian raw milk Motal cheese and antibacterial evaluation based on bacteriocin-encoding genes.	Azizi F, Habibi Najafi MB, Edalatian Dovom MR.	AMB Express	10.1186/s13568-017-0474-2	2017
	Molecular Alteration Analysis of Human Gut Microbial Composition in Graves' disease Patients.	Ishaq HM, Mohammad IS, Shahzad M, Ma C, Raza MA, Wu X, Guo H, Shi P, Xu J.	Int J Biol Sci	10.7150/ijbs.24151	2018
Genetics	Systematic genome assessment of B-vitamin biosynthesis suggests co-operation among gut microbes.	Magnusdottir S, Ravcheev D, de Crecy-Lagard V, Thiele I.	Front Genet	10.3389/fgene.2015.00148	2015
Genetics	Analysis of 1,000 Type-Strain Genomes Improves Taxonomic Classification of Bacteroidetes.	Garcia-Lopez M, Meier-Kolthoff JP, Tindall BJ, Gronow S, Woyke T, Kyrpides NC, Hahnke RL, Goker M.	Front Microbiol	10.3389/fmicb.2019.02083	2019
Metabolism	Taxonomic variations in the gut microbiome of gout patients with and without tophi might have a functional impact on urate metabolism.	Mendez-Salazar EO, Vazquez-Mellado J, Casimiro-Soriguer CS, Dopazo J, Cubuk C, Zamudio-Cuevas Y, Francisco-Balderas A, Martinez-Flores K, Fernandez-Torres J, Lozada-Perez C, Pineda C, Sanchez-Gonzalez A, Silveira LH, Burguete-Garcia AI, Orbe-Orihuela C, Lagunas-Martinez A, Vazquez-Gomez A, Lopez-Reyes A, Palacios-Gonzalez B, Martinez-Nava GA	Mol Med	10.1186/s10020-021-00311-5	2021
Genetics	Noncontiguous finished genome sequence and description of Mediterranea massiliensis gen. nov., sp. nov., a new member of the Bacteroidaceae family isolated from human colon.	Ngom II, Mailhe M, Ricaboni D, Vitton V, Benezech A, Khelaifia S, Michelle C, Cadoret F, Armstrong N, Levasseur A, Raoult D, Million M.	New Microbes New Infect	10.1016/j.nmni.2017.11.009	2018
Phylogeny	Bacteroides barnesiae sp. nov., Bacteroides salanitronis sp. nov. and Bacteroides gallinarum sp. nov., isolated from chicken caecum.	Lan PTN, Sakamoto M, Sakata S, Benno Y	Int J Syst Evol Microbiol	10.1099/ijs.0.64517-0	2006
Phylogeny	Bacteroides plebeius sp. nov. and Bacteroides coprocola sp. nov., isolated from human faeces.	Kitahara M, Sakamoto M, Ike M, Sakata S, Benno Y	Int J Syst Evol Microbiol	10.1099/ijs.0.63788-0	2005

References

#6783	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17136
#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 )
#27839	IJSEM 2143 2005 ( DOI 10.1099/ijs.0.63788-0 , PubMed 16166722 )
#31548	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 #27839
#60272	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54635
#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;
#68367	Automatically annotated from API 20A .
#68380	Automatically annotated from API rID32A .
#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 )

Content

About us

Phocaeicola coprocola (DSM 17136, JCM 12979, CCUG 54635)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20A

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_020731235

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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