Butyrivibrio proteoclasticus (ATCC 51982, B316)

Name: Butyrivibrio proteoclasticus (ATCC 51982, B316)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140655

Type strain

Strain Designation B316

Culture col. no. ATCC 51982 B316

NCBI tax ID(s) 43305

Special Collections Literature strains

Links

Butyrivibrio proteoclasticus B316 is a prokaryote of the family Lachnospiraceae.

genome sequence

Name and taxonomic classification

SI-ID 43274

ATCC 51982,DSM 14932

@ref 20215

Last LPSN update 2026-02-09 11:33:40

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Butyrivibrio

Species Butyrivibrio proteoclasticus

Full scientific name Butyrivibrio proteoclasticus (Attwood et al. 1996) Moon et al. 2008

Synonyms (1)

Clostridium proteoclasticum

BacDive ID	Other strains from **Butyrivibrio proteoclasticus** (1)	Type strain
176812	B. proteoclasticus FD2007, DSM 120282

Morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	94.548
125439	anaerobe	98.9

Observation

43412

ObservationUtilization of the Methylglyoxal shunt pathway as part of the carbohydrate metabolism

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43412	62968 ChEBI	cellulose	-	degradation
43412	17108 ChEBI	D-arabinose	+	assimilation
43412	12936 ChEBI	D-galactose	+	assimilation
43412	18024 ChEBI	D-galacturonic acid	+	assimilation
43412	17634 ChEBI	D-glucose	+	assimilation
43412	15748 ChEBI	D-glucuronate	+	assimilation
43412	16024 ChEBI	D-mannose	+	assimilation
43412	65327 ChEBI	D-xylose	+	assimilation
43412	15443 ChEBI	inulin	+	degradation
43412	30849 ChEBI	L-arabinose	+	assimilation
43412	62345 ChEBI	L-rhamnose	+	assimilation
43412	17309 ChEBI	pectin	+	degradation
43412	28017 ChEBI	starch	+	degradation
43412	37166 ChEBI	xylan	+	degradation

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	gluconeogenesis	100	8 of 8
66794	ethanol fermentation	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	acetate fermentation	100	4 of 4
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	ppGpp biosynthesis	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	L-lactaldehyde degradation	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	acetoin degradation	100	3 of 3
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	starch degradation	100	10 of 10
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	palmitate biosynthesis	90.91	20 of 22
66794	chorismate metabolism	88.89	8 of 9
66794	d-mannose degradation	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	vitamin B1 metabolism	84.62	11 of 13
66794	threonine metabolism	80	8 of 10
66794	glycogen metabolism	80	4 of 5
66794	Entner Doudoroff pathway	80	8 of 10
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	cellulose degradation	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	valine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	glycolysis	76.47	13 of 17
66794	butanoate fermentation	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	polyamine pathway	73.91	17 of 23
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	vitamin B12 metabolism	70.59	24 of 34
66794	purine metabolism	70.21	66 of 94
66794	myo-inositol biosynthesis	70	7 of 10
66794	pyrimidine metabolism	68.89	31 of 45
66794	degradation of sugar alcohols	68.75	11 of 16
66794	methane metabolism	66.67	2 of 3
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	cyanate degradation	66.67	2 of 3
66794	serine metabolism	66.67	6 of 9
66794	degradation of hexoses	66.67	12 of 18
66794	formaldehyde oxidation	66.67	2 of 3
66794	glutamate and glutamine metabolism	64.29	18 of 28
66794	pentose phosphate pathway	63.64	7 of 11
66794	d-xylose degradation	63.64	7 of 11
66794	ketogluconate metabolism	62.5	5 of 8
66794	alanine metabolism	62.07	18 of 29
66794	oxidative phosphorylation	61.54	56 of 91
66794	methionine metabolism	61.54	16 of 26
66794	hydrogen production	60	3 of 5
66794	reductive acetyl coenzyme A pathway	57.14	4 of 7
66794	propanol degradation	57.14	4 of 7
66794	degradation of sugar acids	56	14 of 25
66794	tryptophan metabolism	55.26	21 of 38
66794	metabolism of disaccharids	54.55	6 of 11
66794	proline metabolism	54.55	6 of 11
66794	urea cycle	53.85	7 of 13
66794	leucine metabolism	53.85	7 of 13
66794	non-pathway related	52.63	20 of 38
66794	histidine metabolism	51.72	15 of 29
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	kanosamine biosynthesis II	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	propionate fermentation	50	5 of 10
66794	coenzyme A metabolism	50	2 of 4
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	lactate fermentation	50	2 of 4
66794	tetrahydrofolate metabolism	50	7 of 14
66794	citric acid cycle	50	7 of 14
66794	selenocysteine biosynthesis	50	3 of 6
66794	cysteine metabolism	50	9 of 18
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	quinate degradation	50	1 of 2
66794	arginine metabolism	45.83	11 of 24
66794	lipid metabolism	45.16	14 of 31
66794	lipid A biosynthesis	44.44	4 of 9
66794	lysine metabolism	42.86	18 of 42
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	degradation of pentoses	42.86	12 of 28
66794	isoprenoid biosynthesis	42.31	11 of 26
66794	bile acid biosynthesis, neutral pathway	41.18	7 of 17
66794	methylglyoxal degradation	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	O-antigen biosynthesis	40	2 of 5
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	37.5	3 of 8
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	vitamin B6 metabolism	36.36	4 of 11
66794	heme metabolism	35.71	5 of 14
66794	nitrate assimilation	33.33	3 of 9
66794	sphingosine metabolism	33.33	2 of 6
66794	octane oxidation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	chlorophyll metabolism	33.33	6 of 18
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	enterobactin biosynthesis	33.33	1 of 3
66794	flavin biosynthesis	33.33	5 of 15
66794	ascorbate metabolism	31.82	7 of 22
66794	sulfate reduction	30.77	4 of 13
66794	glycine metabolism	30	3 of 10
66794	tyrosine metabolism	28.57	4 of 14
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	arachidonic acid metabolism	27.78	5 of 18
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	toluene degradation	25	1 of 4
66794	biotin biosynthesis	25	1 of 4
66794	vitamin E metabolism	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	cyclohexanol degradation	25	1 of 4
66794	glutathione metabolism	21.43	3 of 14

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM14503v1 assembly for Butyrivibrio proteoclasticus B316	complete	GCA_000145035	515622.3	648028012	515622	92.55

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Butyrivibrio proteoclasticus B316
NCBI: GCA_000145035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	76.20	no
125439	motility	BacteriaNetⓘ	yes	73.20	no
125439	gram_stain	BacteriaNetⓘ	positive	67.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	98.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Butyrivibrio proteoclasticus B316 B316
NCBI: GCA_000145035.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	62.87	no
125438	anaerobic	anaerobicⓘ	yes	94.55	no
125438	aerobic	aerobicⓘ	no	97.96	no
125438	spore-forming	spore-formingⓘ	no	53.12	no
125438	thermophilic	thermophileⓘ	no	89.30	no
125438	flagellated	motile2+ⓘ	yes	65.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Use of milk proteins as biomarkers of changes in the rumen metaproteome of Holstein cows fed low-fiber, high-starch diets.	Mulakala BK, Smith KM, Snider MA, Ayers A, Honan MC, Greenwood SL.	J Dairy Sci	10.3168/jds.2022-22910	2023
	Influence of dietary carbohydrate profile on the dairy cow rumen meta-proteome.	Mulakala BK, Smith KM, Snider MA, Ayers A, Honan MC, Greenwood SL.	J Dairy Sci	10.3168/jds.2022-21812	2022
Metabolism	Reclassification of Clostridium proteoclasticum as Butyrivibrio proteoclasticus comb. nov., a butyrate-producing ruminal bacterium.	Moon CD, Pacheco DM, Kelly WJ, Leahy SC, Li D, Kopecny J, Attwood GT	Int J Syst Evol Microbiol	10.1099/ijs.0.65845-0	2008
Phylogeny	Clostridium proteoclasticum sp. nov., a novel proteolytic bacterium from the bovine rumen.	Attwood GT, Reilly K, Patel BK	Int J Syst Bacteriol	10.1099/00207713-46-3-753	1996

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 )
#43412	William J. Kelly, Sinead C. Leahy, Eric Altermann, Carl J. Yeoman, Jonathan C. Dunne, Zhanhao Kong, Diana M. Pacheco, Dong Li, Samantha J. Noel, Christina D. Moon, Adrian L. Cookson, Graeme T. Attwood: The Glycobiome of the Rumen Bacterium Butyrivibrio proteoclasticus B316 Highlights Adaptation to a Polysaccharide-Rich Environment. PLoS ONE 5(8): 2010 ( DOI 10.1371/journal.pone.0011942 , PubMed 20689770 )
#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) .
#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 )
#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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Butyrivibrio proteoclasticus (ATCC 51982, B316)

Name and taxonomic classification

Morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Observation

Metabolite utilization

Pathway annotation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000145035

Genome-based predictions

Predictions

Literature

Literature

References

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