Blautia producta (DSM 3507, ATCC 35244, U-1)

Name: Blautia producta (DSM 3507, ATCC 35244, U-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 18069

Type strain

Strain Designation U-1

Culture col. no. DSM 3507 ATCC 35244 U-1

NCBI tax ID(s) 33035

Special Collections DSMZ

History DSMZ <- ATCC <- M.P. Bryant, U-1

Links

Blautia producta U-1 is an anaerobe bacterium that was isolated from anaerobic digester sludge.

anaerobe genome sequence Bacteria

Name and taxonomic classification

SI-ID 40943

ATCC 35244,DSM 3507,KCTC 3243,KCTC 5001

@ref 20215

Last LPSN update 2026-05-29 08:29:10

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Blautia

Species Blautia producta

Full scientific name Blautia producta (Prévot 1941) Liu et al. 2008

Synonyms (5)

Peptostreptococcus productus
Ruminococcus productus
Clostridium coccoides
Blautia coccoides
"Streptococcus productus"

BacDive ID	Other strains from **Blautia producta** (3)	Type strain
18068	B. producta 2396, DSM 2950, ATCC 27340, CCUG 10976, CCUG ... (type strain)
18070	B. producta CS3Glu, DSM 14466
149907	B. producta CCUG 38656

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
1401	WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339)	Medium recipe at MediaDive	Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water
1401	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
1401	CHOPPED MEAT MEDIUM (DSMZ Medium 78)	Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
1401	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
1401	anaerobe
125439	facultative anaerobe	95.448

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
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-galactosidase	+	3.2.1.22	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	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
1401	-	-	+	+	-	+/-	+	+	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1401	-	+	+	+	-	+	+	+	-	+/-	-	-	-	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Biodegradation	#Anaerobic digestor
#Environmental	#Terrestrial	#Mud (Sludge)
#Condition	#Anoxic (anaerobic)	-

Isolation

1401

Sample typeanaerobic digester sludge

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1401	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	ASM291553v1 assembly for Blautia producta DSM 3507	contig	GCA_002915535	33035.17	2852254035	33035	0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM291553v1 assembly for Blautia producta DSM 3507
NCBI: GCA_002915535

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	95.45	no
125439	motility	BacteriaNetⓘ	yes	77.18	no
125439	gram_stain	BacteriaNetⓘ	variable	73.99	no
125439	spore_formation	BacteriaNetⓘ	yes	77.75	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Blautia producta strain DSM 3507
PATRIC: 33035.17

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	82.91	no
125438	anaerobic	anaerobicⓘ	yes	87.92	no
125438	spore-forming	spore-formingⓘ	yes	58.82	no
125438	aerobic	aerobicⓘ	no	94.01	yes
125438	thermophilic	thermophileⓘ	no	92.69	no
125438	flagellated	motile2+ⓘ	no	63.24	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Complete genome sequences of Blautia hydrogenotrophica DSM 10507^T isolated from human feces and Blautia coccoides DSM 935^T isolated from mouse feces.	Boer T, Bengelsdorf FR, Daniel R, Poehlein A.	Microbiol Resour Announc	10.1128/mra.00016-24	2024
Metabolism	Alternative pathway for dopamine production by acetogenic gut bacteria that O-Demethylate 3-Methoxytyramine, a metabolite of catechol O-Methyltransferase.	Rich BE, Jackson JC, de Ora LO, Long ZG, Uyeda KS, Bess EN.	J Appl Microbiol	10.1111/jam.15682	2022
Metabolism	Microbial transformation of dietary xenobiotics shapes gut microbiome composition.	Culp EJ, Nelson NT, Verdegaal AA, Goodman AL.	Cell	10.1016/j.cell.2024.08.038	2024
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	Using gas mixtures of CO, CO₂ and H₂ as microbial substrates: the do's and don'ts of successful technology transfer from laboratory to production scale.	Takors R, Kopf M, Mampel J, Bluemke W, Blombach B, Eikmanns B, Bengelsdorf FR, Weuster-Botz D, Durre P.	Microb Biotechnol	10.1111/1751-7915.13270	2018
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
Metabolism	Effect of the addition of Peptostreptococcus productus ATCC35244 on the gastro-intestinal microbiota and its activity, as simulated in an in vitro simulator of the human gastro-intestinal tract.	Nollet L, Vande Velde I, Verstraete W	Appl Microbiol Biotechnol	10.1007/s002530051022	1997
Metabolism	Effect of 2-bromoethanesulfonic acid and Peptostreptococcus productus ATCC 35244 addition on stimulation of reductive acetogenesis in the ruminal ecosystem by selective inhibition of methanogenesis.	Nollet L, Demeyer D, Verstraete W	Appl Environ Microbiol	10.1128/aem.63.1.194-200.1997	1997
Metabolism	Effect of CO2 on the fermentation capacities of the acetogen Peptostreptococcus productus U-1.	Misoph M, Drake HL	J Bacteriol	10.1128/jb.178.11.3140-3145.1996	1996
Metabolism	Comparative evaluation of the metabolic potentials of different strains of Peptostreptococcus productus: utilization and transformation of aromatic compounds.	Parekh M, Keith ES, Daniel SL, Drake HL	FEMS Microbiol Lett	10.1016/0378-1097(92)90585-c	1992

References

#1401	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 3507
#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 )
#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) .
#68380	Automatically annotated from API rID32A .
#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

Blautia producta (DSM 3507, ATCC 35244, U-1)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002915535

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media