Phocaeicola dorei (DSM 17855, JCM 13471, CCUG 53892)

Name: Phocaeicola dorei (DSM 17855, JCM 13471, CCUG 53892)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1612

Type strain

Strain Designation 175

Culture col. no. DSM 17855 JCM 13471 CCUG 53892 175

NCBI tax ID(s) 483217 357276

Special Collections DSMZ CCUG JCM Literature strains

History <- M. Sakamoto; 175 <- M. Matsumoto M. Sakamoto <-- M. Matsumoto 175.

Links

Phocaeicola dorei 175 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 297141

DSM 17855,JCM 13471,CCUG 53892

@ref 20215

Last LPSN update 2026-02-09 11:18:08

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Bacteroidaceae

Genus Phocaeicola

Species Phocaeicola dorei

Full scientific name Phocaeicola dorei (Bakir et al. 2006) García-López et al. 2020

Synonyms (1)

Bacteroides dorei

BacDive ID	Other strains from **Phocaeicola dorei** (2)	Type strain
160609	P. dorei Cla-CZ-110, DSM 108974
169519	P. dorei HM-27, 9/1/42 FAA, DSM 24903

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31780	negative	1.6-4.2 µm	0.8-1.2 µm	rod-shaped
125439	negative				95.8
125438					91.095
125438	negative				94.174

Colony morphology

@ref	Incubation period
7141	1-2 days
60061	2 days

Pigmentation

31780

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7141	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
7141	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)
7141	positive	growth	37
31780	positive	growth	37
31780	positive	optimum	37
60061	positive	growth	37
67770	positive	growth	37

Culture pH

@ref	Ability	Type	PH
31780	positive	optimum	7
31780	positive	growth	7

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
7141	anaerobe
31780	anaerobe
60061	anaerobe
125438	anaerobe	92.104

Spore formation

@ref	Spore formation	Confidence
31780
125439		90.6

Observation

31780

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31780	22599 ChEBI	arabinose	+	carbon source
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
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
68367	4853 ChEBI	esculin	-	hydrolysis	from API 20A
68367	5291 ChEBI	gelatin	-	hydrolysis	from API 20A
68367	17754 ChEBI	glycerol	-	builds acid from	from API 20A
68367	30849 ChEBI	L-arabinose	+	builds acid from	from API 20A
68367	62345 ChEBI	L-rhamnose	+	builds acid from	from API 20A
68367	17716 ChEBI	lactose	+	builds acid from	from API 20A
68367	17306 ChEBI	maltose	+	builds acid from	from API 20A
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
31780	26546 ChEBI	rhamnose	+	carbon source
68367	17814 ChEBI	salicin	-	builds acid from	from API 20A
68367	30911 ChEBI	sorbitol	-	builds acid from	from API 20A
31780	17992 ChEBI	sucrose	+	carbon source
68367	17992 ChEBI	sucrose	+	builds acid from	from API 20A
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
31780	18222 ChEBI	xylose	+	carbon source

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
68380	alkaline phosphatase	+	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	+	3.2.1.55	from API rID32A
68380	alpha-fucosidase	+	3.2.1.51	from API rID32A
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
68367	beta-glucosidase	-	3.2.1.21	from API 20A
68367	gelatinase	-		from API 20A
68380	glycin arylamidase	+		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	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	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
7141	-	-	+	-	+	+	+	-	+	+	-	-	-	-	+	-	+	-	+	-	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
7141	-	-	+	+	-	+	-	+	+/-	+	-	-	-	+	-	-	+	-	-	+	+	+	-	+	+	+	-	+/-	-
7141	-	-	+	+	-	+	-	+	-	+	+	+	-	+	-	-	+	+	-	+	-	+/-	-	+/-	+	+	-	+	-
7141	-	-	+	+	+/-	+	-	+	-	+	+/-	+/-	-	+	-	-	+	+/-	-	+	+/-	+	-	+/-	+	+	+/-	+	-
7141	-	-	+	+	-	+	+	+	not determinedn.d.	+	+	+	+	+	-	-	+	+	-	+	+/-	+	-	+/-	+	+	+/-	+/-	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
7141	human feces	Japan	JPN	Asia
60061	Human feces	Japan	JPN	Asia
67770	Human feces

Taxonmaps

69479

Global distribution of 16S sequence AB242142 (>99% sequence identity) for Phocaeicola dorei subclade from Microbeatlas

Aquatic Samples	4422
Soil Samples	671
Animal Samples	124015
Plant Samples	277
Total Samples	129385

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
7141	yes, in single cases	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	ASM1300955v1 assembly for Phocaeicola dorei DSM 17855	complete	GCA_013009555	357276.1035	8119212511	357276	99.3
66792	ASM2514641v1 assembly for Phocaeicola dorei DSM 17855	complete	GCA_025146415	357276.1436		357276	99.27
67770	ASM15607v1 assembly for Phocaeicola dorei DSM 17855	scaffold	GCA_000156075	483217.6	642979370	483217	55.02

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Bacteroides dorei strain DSM 17855 16S ribosomal RNA gene, partial sequence	HQ012025	932		357276
31780	Bacteroides dorei gene for 16S rRNA, partial sequence, strain:JCM 13471	AB242142	1493		483217

GC content

@ref	GC-content (mol%)	Method
7141	43
7141	42.0	sequence analysis
67770	43	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: Bacteroides dorei strain DSM 17855
PATRIC: 357276.1035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	90.60	no
125439	motility	BacteriaNetⓘ	no	53.10	no
125439	gram_stain	BacteriaNetⓘ	negative	95.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	85.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Phocaeicola dorei DSM 17855
NCBI: GCA_013009555.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.17	yes
125438	anaerobic	anaerobicⓘ	yes	92.10	yes
125438	aerobic	aerobicⓘ	no	93.81	no
125438	spore-forming	spore-formingⓘ	no	88.92	yes
125438	thermophilic	thermophileⓘ	no	95.67	no
125438	flagellated	motile2+ⓘ	no	91.10	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Synthetic beta-d-Glucuronides: Substrates for Exploring Glucuronide Degradation by Human Gut Bacteria.	Gorecka A, Schacht H, Fraser MK, Teriosina A, London JA, Barsukov IL, Powell AK, Cartmell A, Stachulski AV, Yates EA.	ACS Omega	10.1021/acsomega.4c09036	2025
	A Globally Distributed Bacteroides caccae Strain Is the Most Prevalent Mother-Child Shared Bacteroidaceae Strain in a Large Scandinavian Cohort.	Nilsen M, Rehbinder EM, Lodrup Carlsen KC, Haugen G, Hedlin G, Jonassen CM, Killingstad ME, Nordlund B, Ormaasen I, Skjerven HO, Snipen L, Staff AC, Soderhall C, Sorensen R, Vettukattil R, Wilborn LM, Rudi K.	Appl Environ Microbiol	10.1128/aem.00789-23	2023
	The Parkinson's disease drug entacapone disrupts gut microbiome homoeostasis via iron sequestration.	Pereira FC, Ge X, Kristensen JM, Kirkegaard RH, Maritsch K, Szamosvari D, Imminger S, Seki D, Shazzad JB, Zhu Y, Decorte M, Hausmann B, Berry D, Wasmund K, Schintlmeister A, Bottcher T, Cheng JX, Wagner M.	Nat Microbiol	10.1038/s41564-024-01853-0	2024
	Polysaccharide utilization loci from Bacteroidota encode CE15 enzymes with possible roles in cleaving pectin-lignin bonds.	Seveso A, Mazurkewich S, Banerjee S, Poulsen J-CN, Lo Leggio L, Larsbrink J.	Appl Environ Microbiol	10.1128/aem.01768-23	2024
	Culturing of a complex gut microbial community in mucin-hydrogel carriers reveals strain- and gene-associated spatial organization.	Jin X, Yu FB, Yan J, Weakley AM, Dubinkina V, Meng X, Pollard KS.	Nat Commun	10.1038/s41467-023-39121-0	2023
	Insights from Bacteroides Species in Children with Type 1 Diabetes.	Matos J, Matos I, Calha M, Santos P, Duarte I, Cardoso Y, Faleiro ML.	Microorganisms	10.3390/microorganisms9071436	2021
	CRISPR-Cas-based identification of a sialylated human milk oligosaccharides utilization cluster in the infant gut commensal Bacteroides dorei.	Kijner S, Ennis D, Shmorak S, Florentin A, Yassour M.	Nat Commun	10.1038/s41467-023-44437-y	2024
	Modulation of Designed Gut Bacterial Communities by Prebiotics and the Impact of Their Metabolites on Intestinal Cells.	Roupar D, Gonzalez A, Martins JT, Goncalves DA, Teixeira JA, Botelho C, Nobre C.	Foods	10.3390/foods12234216	2023
Phylogeny	First case of an invasive Bacteroides dorei infection detected in a patient with a mycotic aortic aneurysm-raising a rebellion of major indigenous bacteria in humans: a case report and review.	Matsuoka T, Shimizu T, Minagawa T, Hiranuma W, Takeda M, Kakuta R, Kawamoto S.	BMC Infect Dis	10.1186/s12879-021-06345-8	2021
Metabolism	A bacterial bile acid metabolite modulates T_reg activity through the nuclear hormone receptor NR4A1.	Li W, Hang S, Fang Y, Bae S, Zhang Y, Zhang M, Wang G, McCurry MD, Bae M, Paik D, Franzosa EA, Rastinejad F, Huttenhower C, Yao L, Devlin AS, Huh JR.	Cell Host Microbe	10.1016/j.chom.2021.07.013	2021
Genetics	Metabolic Modeling and Bidirectional Culturing of Two Gut Microbes Reveal Cross-Feeding Interactions and Protective Effects on Intestinal Cells.	Hirmas B, Gasaly N, Orellana G, Vega-Sagardia M, Saa P, Gotteland M, Garrido D.	mSystems	10.1128/msystems.00646-22	2022
	A new Illumina MiSeq high-throughput sequencing-based method for evaluating the composition of the Bacteroides community in the intestine using the rpsD gene sequence.	Wang C, Feng S, Xiao Y, Pan M, Zhao J, Zhang H, Zhai Q, Chen W.	Microb Biotechnol	10.1111/1751-7915.13651	2021
	The Infant Gut Commensal Bacteroides dorei Presents a Generalized Transcriptional Response to Various Human Milk Oligosaccharides.	Kijner S, Cher A, Yassour M.	Front Cell Infect Microbiol	10.3389/fcimb.2022.854122	2022
Genetics	The methylome of the gut microbiome: disparate Dam methylation patterns in intestinal Bacteroides dorei.	Leonard MT, Davis-Richardson AG, Ardissone AN, Kemppainen KM, Drew JC, Ilonen J, Knip M, Simell O, Toppari J, Veijola R, Hyoty H, Triplett EW.	Front Microbiol	10.3389/fmicb.2014.00361	2014
	Monitoring Urban Beach Quality on a Summer Day: Determination of the Origin of Fecal Indicator Bacteria and Antimicrobial Resistance at Prophète Beach, Marseille (France).	Toubiana M, Salles C, Tournoud MG, Licznar-Fajardo P, Zorgniotti I, Tremelo ML, Jumas-Bilak E, Robert S, Monfort P.	Front Microbiol	10.3389/fmicb.2021.710346	2021
	In silico identification of bacteriocin gene clusters in the gastrointestinal tract, based on the Human Microbiome Project's reference genome database.	Walsh CJ, Guinane CM, Hill C, Ross RP, O'Toole PW, Cotter PD.	BMC Microbiol	10.1186/s12866-015-0515-4	2015
Enzymology	Distribution and abundance of human-specific Bacteroides and relation to traditional indicators in an urban tropical catchment.	Nshimyimana JP, Ekklesia E, Shanahan P, Chua LH, Thompson JR.	J Appl Microbiol	10.1111/jam.12455	2014
	Bacteroides spp. promotes branched-chain amino acid catabolism in brown fat and inhibits obesity.	Yoshida N, Yamashita T, Osone T, Hosooka T, Shinohara M, Kitahama S, Sasaki K, Sasaki D, Yoneshiro T, Suzuki T, Emoto T, Saito Y, Ozawa G, Hirota Y, Kitaura Y, Shimomura Y, Okamatsu-Ogura Y, Saito M, Kondo A, Kajimura S, Inagaki T, Ogawa W, Yamada T, Hirata KI.	iScience	10.1016/j.isci.2021.103342	2021
Metabolism	Polysaccharides utilization in human gut bacterium Bacteroides thetaiotaomicron: comparative genomics reconstruction of metabolic and regulatory networks.	Ravcheev DA, Godzik A, Osterman AL, Rodionov DA.	BMC Genomics	10.1186/1471-2164-14-873	2013
Metabolism	The effects of micronutrient deficiencies on bacterial species from the human gut microbiota.	Hibberd MC, Wu M, Rodionov DA, Li X, Cheng J, Griffin NW, Barratt MJ, Giannone RJ, Hettich RL, Osterman AL, Gordon JI.	Sci Transl Med	10.1126/scitranslmed.aal4069	2017
Enzymology	Cephalosporinases associated with outer membrane vesicles released by Bacteroides spp. protect gut pathogens and commensals against beta-lactam antibiotics.	Stentz R, Horn N, Cross K, Salt L, Brearley C, Livermore DM, Carding SR.	J Antimicrob Chemother	10.1093/jac/dku466	2015
	Sewage reflects the microbiomes of human populations.	Newton RJ, McLellan SL, Dila DK, Vineis JH, Morrison HG, Eren AM, Sogin ML.	mBio	10.1128/mbio.02574-14	2015
Phylogeny	Alterations in the gut microbiota associated with HIV-1 infection.	Lozupone CA, Li M, Campbell TB, Flores SC, Linderman D, Gebert MJ, Knight R, Fontenot AP, Palmer BE.	Cell Host Microbe	10.1016/j.chom.2013.08.006	2013
Metabolism	Functional assignment of multiple catabolic pathways for D-apiose.	Carter MS, Zhang X, Huang H, Bouvier JT, Francisco BS, Vetting MW, Al-Obaidi N, Bonanno JB, Ghosh A, Zallot RG, Andersen HM, Almo SC, Gerlt JA.	Nat Chem Biol	10.1038/s41589-018-0067-7	2018
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
	Phocaeicola dorei and Phocaeicola vulgatus Protect against Atherosclerosis by Regulating Gut Immunity.	Nakashima H, Shinohara R, Emoto T, Saito Y, Yoshida N, Hirata KI, Murakami T, Mori H, Toyoda A, Sugiyama T, Yamada T, Yamashita T.	J Atheroscler Thromb	10.5551/jat.65460	2025
Genetics	Genomic, Probiotic, and Functional Properties of Bacteroides dorei RX2020 Isolated from Gut Microbiota.	He S, Song L, Xiao Y, Huang Y, Ren Z.	Nutrients	10.3390/nu17061066	2025
	Development of culture methods capable of culturing a wide range of predominant species of intestinal bacteria.	Hirano R, Nishita I, Nakai R, Bito A, Sasabe R, Kurihara S.	Front Cell Infect Microbiol	10.3389/fcimb.2023.1056866	2023
	Bacteroides uniformis and its preferred substrate, alpha-cyclodextrin, enhance endurance exercise performance in mice and human males.	Morita H, Kano C, Ishii C, Kagata N, Ishikawa T, Hirayama A, Uchiyama Y, Hara S, Nakamura T, Fukuda S.	Sci Adv	10.1126/sciadv.add2120	2023
	Carotenoid productivity in human intestinal bacteria Eubacterium limosum and Leuconostoc mesenteroides with functional analysis of their carotenoid biosynthesis genes.	Matsumoto W, Takemura M, Nanaura H, Ami Y, Maoka T, Shindo K, Kurihara S, Misawa N.	Eng Microbiol	10.1016/j.engmic.2024.100147	2024
	A Novel Immunobiotics Bacteroides dorei Ameliorates Influenza Virus Infection in Mice.	Song L, Huang Y, Liu G, Li X, Xiao Y, Liu C, Zhang Y, Li J, Xu J, Lu S, Ren Z.	Front Immunol	10.3389/fimmu.2021.828887	2021
Enzymology	SACCHARIS: an automated pipeline to streamline discovery of carbohydrate active enzyme activities within polyspecific families and de novo sequence datasets.	Jones DR, Thomas D, Alger N, Ghavidel A, Inglis GD, Abbott DW	Biotechnol Biofuels	10.1186/s13068-018-1027-x	2018
Phylogeny	Bacteroides chinchillae sp. nov. and Bacteroides rodentium sp. nov., isolated from chinchilla (Chinchilla lanigera) faeces.	Kitahara M, Tsuchida S, Kawasumi K, Amao H, Sakamoto M, Benno Y, Ohkuma M	Int J Syst Evol Microbiol	10.1099/ijs.0.024026-0	2010
Phylogeny	Bacteroides dorei sp. nov., isolated from human faeces.	Bakir MA, Sakamoto M, Kitahara M, Matsumoto M, Benno Y	Int J Syst Evol Microbiol	10.1099/ijs.0.64257-0	2006

References

#7141	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17855
#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 )
#28052	IJSEM 1639 2006 ( DOI 10.1099/ijs.0.64257-0 , PubMed 16825642 )
#31780	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 #28052
#60061	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 53892
#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 )

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Phocaeicola dorei (DSM 17855, JCM 13471, CCUG 53892)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

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

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16S sequences

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