Dorea longicatena (DSM 13814, CCUG 45247, JCM 11232)

Name: Dorea longicatena (DSM 13814, CCUG 45247, JCM 11232)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6355

Type strain

Strain Designation 111-35

Culture col. no. DSM 13814 CCUG 45247 JCM 11232 111-35

NCBI tax ID(s) 411462 88431

Special Collections DSMZ CCUG JCM

History <- D. Taras; 111-35 D. Taras 111-35.

Links

Dorea longicatena 111-35 is an anaerobe bacterium that was isolated from human feces.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 100631

CCUG 45247,DSM 13814,JCM 11232,VTT E-052788

@ref 20215

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

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Dorea

Species Dorea longicatena

Full scientific name Dorea longicatena Taras et al. 2002

BacDive ID	Other strains from **Dorea longicatena** (3)	Type strain
158029	D. longicatena f-DLO, DSM 107518
158030	D. longicatena H2_27, DSM 108154
164023	D. longicatena JCM 31334

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
5171	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)
5171	positive	growth	37
56709	positive	growth	37
67770	positive	growth	37

Culture pH

@ref	Ability	Type	PH
56709	positive	growth	7.2

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
5171	anaerobe
56709	anaerobe
125438	anaerobe	90.787
125439	anaerobe	99.8

Murein

@ref	Murein short key	Type
5171	A31	A1gamma m-Dpm-direct

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Metabolite production

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

Metabolite tests

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

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	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
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		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

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
5171	-	-	-	+	-	+/-	+	+	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-
5171	-	-	-	+	-	+/-	+	+	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-
5171	-	-	-	+	-	-	+	+	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
5171	human feces			Germany	DEU	Europe
56709	Human feces,healthy German individual	1998-07-01	Rehbrücke	Germany	DEU	Europe
67770	Human feces

Taxonmaps

69479

Global distribution of 16S sequence LC037228 (>99% sequence identity) for Dorea longicatena subclade from Microbeatlas

Aquatic Samples	3696
Soil Samples	510
Animal Samples	99499
Plant Samples	248
Total Samples	103953

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5171	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	ASM2515008v1 assembly for Dorea longicatena DSM 13814	complete	GCA_025150085	88431.1235	8119132209	88431	97.13
66792	ASM15406v1 assembly for Dorea longicatena DSM 13814	scaffold	GCA_000154065	411462.6	640963046	411462	66.84

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
5171	Eubacterium sp. III-35 16S rRNA gene	AJ132842	1345		88431
67770	Dorea longicatena gene for 16S ribosomal RNA, partial sequence, strain: JCM 11232	LC037228	1493		88431

GC content

@ref	GC-content (mol%)	Method
5171	45.6	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: Dorea longicatena strain DSM 13814
PATRIC: 88431.1235

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	58.70	no
125439	motility	BacteriaNetⓘ	yes	75.20	no
125439	gram_stain	BacteriaNetⓘ	positive	67.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Dorea longicatena DSM 13814
NCBI: GCA_025150085.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.06	no
125438	anaerobic	anaerobicⓘ	yes	90.79	no
125438	aerobic	aerobicⓘ	no	97.25	yes
125438	spore-forming	spore-formingⓘ	no	61.99	no
125438	thermophilic	thermophileⓘ	no	93.56	no
125438	flagellated	motile2+ⓘ	no	86.97	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Production of deoxycholic acid by low-abundant microbial species is associated with impaired glucose metabolism.	Wahlstrom A, Brumbaugh A, Sjoland W, Olsson L, Wu H, Henricsson M, Lundqvist A, Makki K, Hazen SL, Bergstrom G, Marschall HU, Fischbach MA, Backhed F.	Nat Commun	10.1038/s41467-024-48543-3	2024
	Coarse-grained model of serial dilution dynamics in synthetic human gut microbiome.	Mahajan T, Maslov S.	PLoS Comput Biol	10.1371/journal.pcbi.1013222	2025
Genetics	Ecology- and genome-based identification of the Bifidobacterium adolescentis prototype of the healthy human gut microbiota.	Argentini C, Lugli GA, Tarracchini C, Fontana F, Mancabelli L, Viappiani A, Anzalone R, Angelini L, Alessandri G, Bianchi MG, Taurino G, Bussolati O, Milani C, van Sinderen D, Turroni F, Ventura M.	Appl Environ Microbiol	10.1128/aem.02014-23	2024
	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
	The microbiome diversifies long- to short-chain fatty acid-derived N-acyl lipids.	Mannochio-Russo H, Charron-Lamoureux V, van Faassen M, Lamichhane S, Goncalves Nunes WD, Deleray V, Ayala AV, Tanaka Y, Patan A, Vittali K, Rajkumar P, El Abiead Y, Zhao HN, Gomes PWP, Mohanty I, Lee C, Sund A, Sharma M, Liu Y, Pattynama D, Walker GT, Norton GJ, Khatib L, Andalibi MS, Wang CX, Ellis RJ, Moore DJ, Iudicello JE, Franklin D, Letendre S, Chin L, Walker C, Renwick S, Zemlin J, Meehan MJ, Song X, Kasper D, Burcham Z, Kim JJ, Kadakia S, Raffatellu M, Bode L, Chu H, Zengler K, Wang M, Siegel D, Knight R, Dorrestein PC.	Cell	10.1016/j.cell.2025.05.015	2025
Pathogenicity	Visceral adiposity in postmenopausal women is associated with a pro-inflammatory gut microbiome and immunogenic metabolic endotoxemia.	Gaber M, Wilson AS, Millen AE, Hovey KM, LaMonte MJ, Wactawski-Wende J, Ochs-Balcom HM, Cook KL.	Microbiome	10.1186/s40168-024-01901-1	2024
	Colorectal cancer-associated bacteria are broadly distributed in global microbiomes and drivers of precancerous change.	Minot SS, Li N, Srinivasan H, Ayers JL, Yu M, Koester ST, Stangis MM, Dominitz JA, Halberg RB, Grady WM, Dey N.	Sci Rep	10.1038/s41598-024-70702-1	2024
Pathogenicity	Quantifying the varying harvest of fermentation products from the human gut microbiota.	Arnoldini M, Sharma R, Moresi C, Chure G, Chabbey J, Slack E, Cremer J.	Cell	10.1016/j.cell.2025.07.005	2025
	Lipid complexation reduces rice starch digestibility and boosts short-chain fatty acid production via gut microbiota.	Shen Y, An Z, Huyan Z, Shu X, Wu D, Zhang N, Pellegrini N, Rubert J.	NPJ Sci Food	10.1038/s41538-023-00230-1	2023
Metabolism	Strain dropouts reveal interactions that govern the metabolic output of the gut microbiome.	Wang M, Osborn LJ, Jain S, Meng X, Weakley A, Yan J, Massey WJ, Varadharajan V, Horak A, Banerjee R, Allende DS, Chan ER, Hajjar AM, Wang Z, Dimas A, Zhao A, Nagashima K, Cheng AG, Higginbottom S, Hazen SL, Brown JM, Fischbach MA.	Cell	10.1016/j.cell.2023.05.037	2023
Metabolism	Harvesting of Prebiotic Fructooligosaccharides by Nonbeneficial Human Gut Bacteria.	Wang Z, Tauzin AS, Laville E, Tedesco P, Letisse F, Terrapon N, Lepercq P, Mercade M, Potocki-Veronese G.	mSphere	10.1128/msphere.00771-19	2020
Metabolism	Roles of human colonic bacteria in pectin utilization and associated cross-feeding networks revealed using synthetic co-cultures.	Solvang M, Farquharson FM, Horgan G, Pisano S, Holck J, Zeuner B, Russell WR, Louis P.	Microbiology (Reading)	10.1099/mic.0.001559	2025
Genetics	Metagenome-Scale Metabolic Network Suggests Folate Produced by Bifidobacterium longum Might Contribute to High-Fiber-Diet-Induced Weight Loss in a Prader-Willi Syndrome Child.	Xiang B, Zhao L, Zhang M.	Microorganisms	10.3390/microorganisms9122493	2021
	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
Metabolism	Microbial short-chain fatty acids modulate CD8⁺ T cell responses and improve adoptive immunotherapy for cancer.	Luu M, Riester Z, Baldrich A, Reichardt N, Yuille S, Busetti A, Klein M, Wempe A, Leister H, Raifer H, Picard F, Muhammad K, Ohl K, Romero R, Fischer F, Bauer CA, Huber M, Gress TM, Lauth M, Danhof S, Bopp T, Nerreter T, Mulder IE, Steinhoff U, Hudecek M, Visekruna A.	Nat Commun	10.1038/s41467-021-24331-1	2021
	Microbiome-encoded bile acid metabolism modulates colonic transit times.	Li N, Koester ST, Lachance DM, Dutta M, Cui JY, Dey N.	iScience	10.1016/j.isci.2021.102508	2021
Metabolism	Functional metagenomics reveals novel pathways of prebiotic breakdown by human gut bacteria.	Cecchini DA, Laville E, Laguerre S, Robe P, Leclerc M, Dore J, Henrissat B, Remaud-Simeon M, Monsan P, Potocki-Veronese G.	PLoS One	10.1371/journal.pone.0072766	2013
	Design, construction, and in vivo augmentation of a complex gut microbiome.	Cheng AG, Ho PY, Aranda-Diaz A, Jain S, Yu FB, Meng X, Wang M, Iakiviak M, Nagashima K, Zhao A, Murugkar P, Patil A, Atabakhsh K, Weakley A, Yan J, Brumbaugh AR, Higginbottom S, Dimas A, Shiver AL, Deutschbauer A, Neff N, Sonnenburg JL, Huang KC, Fischbach MA.	Cell	10.1016/j.cell.2022.08.003	2022
Metabolism	SIMMER employs similarity algorithms to accurately identify human gut microbiome species and enzymes capable of known chemical transformations.	Bustion AE, Nayak RR, Agrawal A, Turnbaugh PJ, Pollard KS.	Elife	10.7554/elife.82401	2023
Metabolism	Paneth Cell-Derived Lysozyme Defines the Composition of Mucolytic Microbiota and the Inflammatory Tone of the Intestine.	Yu S, Balasubramanian I, Laubitz D, Tong K, Bandyopadhyay S, Lin X, Flores J, Singh R, Liu Y, Macazana C, Zhao Y, Beguet-Crespel F, Patil K, Midura-Kiela MT, Wang D, Yap GS, Ferraris RP, Wei Z, Bonder EM, Haggblom MM, Zhang L, Douard V, Verzi MP, Cadwell K, Kiela PR, Gao N.	Immunity	10.1016/j.immuni.2020.07.010	2020
Metabolism	Discovery of Azurin-Like Anticancer Bacteriocins from Human Gut Microbiome through Homology Modeling and Molecular Docking against the Tumor Suppressor p53.	Nguyen C, Nguyen VD.	Biomed Res Int	10.1155/2016/8490482	2016
	Functional Comparison of Bacteria from the Human Gut and Closely Related Non-Gut Bacteria Reveals the Importance of Conjugation and a Paucity of Motility and Chemotaxis Functions in the Gut Environment.	Dobrijevic D, Abraham AL, Jamet A, Maguin E, van de Guchte M.	PLoS One	10.1371/journal.pone.0159030	2016
Metabolism	Methotrexate impacts conserved pathways in diverse human gut bacteria leading to decreased host immune activation.	Nayak RR, Alexander M, Deshpande I, Stapleton-Gray K, Rimal B, Patterson AD, Ubeda C, Scher JU, Turnbaugh PJ.	Cell Host Microbe	10.1016/j.chom.2020.12.008	2021
	Distribution of nitrogen fixation and nitrogenase-like sequences amongst microbial genomes.	Dos Santos PC, Fang Z, Mason SW, Setubal JC, Dixon R.	BMC Genomics	10.1186/1471-2164-13-162	2012
Metabolism	Intracellular glycogen accumulation by human gut commensals as a niche adaptation trait.	Esteban-Torres M, Ruiz L, Rossini V, Nally K, van Sinderen D.	Gut Microbes	10.1080/19490976.2023.2235067	2023
Phylogeny	Diet-induced metabolic improvements in a hamster model of hypercholesterolemia are strongly linked to alterations of the gut microbiota.	Martinez I, Wallace G, Zhang C, Legge R, Benson AK, Carr TP, Moriyama EN, Walter J.	Appl Environ Microbiol	10.1128/aem.00380-09	2009
Metabolism	The Stringent Response Determines the Ability of a Commensal Bacterium to Survive Starvation and to Persist in the Gut.	Schofield WB, Zimmermann-Kogadeeva M, Zimmermann M, Barry NA, Goodman AL.	Cell Host Microbe	10.1016/j.chom.2018.06.002	2018
	Spatial organization of a model 15-member human gut microbiota established in gnotobiotic mice.	Mark Welch JL, Hasegawa Y, McNulty NP, Gordon JI, Borisy GG.	Proc Natl Acad Sci U S A	10.1073/pnas.1711596114	2017
Pathogenicity	The Use of Defined Microbial Communities To Model Host-Microbe Interactions in the Human Gut.	Elzinga J, van der Oost J, de Vos WM, Smidt H.	Microbiol Mol Biol Rev	10.1128/mmbr.00054-18	2019
Metabolism	Alternative spermidine biosynthetic route is critical for growth of Campylobacter jejuni and is the dominant polyamine pathway in human gut microbiota.	Hanfrey CC, Pearson BM, Hazeldine S, Lee J, Gaskin DJ, Woster PM, Phillips MA, Michael AJ.	J Biol Chem	10.1074/jbc.m111.307835	2011
	Defense against cannibalism: the SdpI family of bacterial immunity/signal transduction proteins.	Povolotsky TL, Orlova E, Tamang DG, Saier MH.	J Membr Biol	10.1007/s00232-010-9260-7	2010
	The RepA_N replicons of Gram-positive bacteria: a family of broadly distributed but narrow host range plasmids.	Weaver KE, Kwong SM, Firth N, Francia MV.	Plasmid	10.1016/j.plasmid.2008.11.004	2009
Metabolism	Insights into the evolution of sialic acid catabolism among bacteria.	Almagro-Moreno S, Boyd EF.	BMC Evol Biol	10.1186/1471-2148-9-118	2009
Metabolism	Evolutionary primacy of sodium bioenergetics.	Mulkidjanian AY, Galperin MY, Makarova KS, Wolf YI, Koonin EV.	Biol Direct	10.1186/1745-6150-3-13	2008
	Bioinformatic characterization of the trimeric intracellular cation-specific channel protein family.	Silverio AL, Saier MH.	J Membr Biol	10.1007/s00232-011-9364-8	2011
	Noncellulosomal cohesin- and dockerin-like modules in the three domains of life.	Peer A, Smith SP, Bayer EA, Lamed R, Borovok I.	FEMS Microbiol Lett	10.1111/j.1574-6968.2008.01420.x	2009
Metabolism	ABC transporters involved in export of cell surface glycoconjugates.	Cuthbertson L, Kos V, Whitfield C.	Microbiol Mol Biol Rev	10.1128/mmbr.00009-10	2010
	Imbalanced dietary intake alters the colonic microbial profile in growing rats.	Jung TH, Han KS.	PLoS One	10.1371/journal.pone.0253959	2021
Metabolism	Gut microbial carbohydrate metabolism contributes to insulin resistance.	Takeuchi T, Kubota T, Nakanishi Y, Tsugawa H, Suda W, Kwon AT, Yazaki J, Ikeda K, Nemoto S, Mochizuki Y, Kitami T, Yugi K, Mizuno Y, Yamamichi N, Yamazaki T, Takamoto I, Kubota N, Kadowaki T, Arner E, Carninci P, Ohara O, Arita M, Hattori M, Koyasu S, Ohno H.	Nature	10.1038/s41586-023-06466-x	2023
Phylogeny	Reclassification of Eubacterium formicigenerans Holdeman and Moore 1974 as Dorea formicigenerans gen. nov., comb. nov., and description of Dorea longicatena sp. nov., isolated from human faeces.	Taras D, Simmering R, Collins MD, Lawson PA, Blaut M	Int J Syst Evol Microbiol	10.1099/00207713-52-2-423	2002

References

#5171	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13814
#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 )
#56709	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 45247
#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;
#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 )

Rate our new design

Content

About us

Dorea longicatena (DSM 13814, CCUG 45247, JCM 11232)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Murein

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_025150085

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media