Romboutsia lituseburensis (DSM 797, ATCC 25759, BCRC 14536)

Name: Romboutsia lituseburensis (DSM 797, ATCC 25759, BCRC 14536)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2614

Type strain

Strain Designation A25K

Culture col. no. DSM 797 ATCC 25759 BCRC 14536 CCUG 18920 JCM 1404 4 more

NCBI tax ID(s) 1121325 1537

Special Collections DSMZ CCUG JCM

History DSMZ <- ATCC <- L. DS. Smith, Virginia Polytechnical Institute and State University, Blacksburg, V., USA; VPI 2751 <- A. R. Prevot, Institut Pasteur, Paris, France; A25K JCM <-- ATCC 25759 <-- L. DS. Smith VPI 2751.

Links

Romboutsia lituseburensis A25K is an anaerobe bacterium that was isolated from mud.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 38658

ATCC 25759,CCUG 18920,DSM 797,NCIB 10637,JCM 1404,CCRC 14536,NCIMB 10637,BCRC 14536,VTT E-021853

@ref 20215

Last LPSN update 2026-05-29 08:25:30

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Peptostreptococcales

Family Peptostreptococcaceae

Genus Romboutsia

Species Romboutsia lituseburensis

Full scientific name Romboutsia lituseburensis (Laplanche and Saissac 1948) Gerritsen et al. 2014

Synonyms (2)

Clostridium lituseburense
"Inflabilis lituseburense"

Morphology

Colony morphology

46926

Incubation period1 day

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
453	PY + X MEDIUM (DSMZ Medium 104b)		Medium recipe at MediaDive	Name: PY + X MEDIUM (DSMZ Medium 104b) Composition: Yeast extract 10.0 g/l D-Glucose 5.0 g/l Trypticase peptone 5.0 g/l Meat peptone 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
453	positive	growth	37
46926	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
453	anaerobe
46926	anaerobe
125439	facultative anaerobe	97.652

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cellulose degradation	100	5 of 5
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	L-lactaldehyde degradation	100	3 of 3
66794	palmitate biosynthesis	100	22 of 22
66794	ppGpp biosynthesis	100	4 of 4
66794	methylglyoxal degradation	100	5 of 5
66794	adipate degradation	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	aminopropanol phosphate biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	vitamin B1 metabolism	92.31	12 of 13
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	vitamin B12 metabolism	88.24	30 of 34
66794	heme metabolism	85.71	12 of 14
66794	NAD metabolism	83.33	15 of 18
66794	purine metabolism	80.85	76 of 94
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	flavin biosynthesis	80	12 of 15
66794	glycine betaine biosynthesis	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	d-mannose degradation	77.78	7 of 9
66794	alanine metabolism	75.86	22 of 29
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	pyrimidine metabolism	71.11	32 of 45
66794	threonine metabolism	70	7 of 10
66794	Entner Doudoroff pathway	70	7 of 10
66794	starch degradation	70	7 of 10
66794	phenylalanine metabolism	69.23	9 of 13
66794	urea cycle	69.23	9 of 13
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	serine metabolism	66.67	6 of 9
66794	cyanate degradation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	methane metabolism	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	methionine metabolism	65.38	17 of 26
66794	glycolysis	64.71	11 of 17
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	non-pathway related	63.16	24 of 38
66794	ketogluconate metabolism	62.5	5 of 8
66794	gluconeogenesis	62.5	5 of 8
66794	hydrogen production	60	3 of 5
66794	propionate fermentation	60	6 of 10
66794	lipoate biosynthesis	60	3 of 5
66794	myo-inositol biosynthesis	60	6 of 10
66794	factor 420 biosynthesis	60	3 of 5
66794	oxidative phosphorylation	58.24	53 of 91
66794	propanol degradation	57.14	4 of 7
66794	cysteine metabolism	55.56	10 of 18
66794	pentose phosphate pathway	54.55	6 of 11
66794	tryptophan metabolism	52.63	20 of 38
66794	lipid metabolism	51.61	16 of 31
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	CMP-KDO biosynthesis	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	lactate fermentation	50	2 of 4
66794	degradation of sugar alcohols	50	8 of 16
66794	acetate fermentation	50	2 of 4
66794	phenylmercury acetate degradation	50	1 of 2
66794	arginine metabolism	50	12 of 24
66794	glycine metabolism	50	5 of 10
66794	quinate degradation	50	1 of 2
66794	vitamin E metabolism	50	2 of 4
66794	isoleucine metabolism	50	4 of 8
66794	lysine metabolism	47.62	20 of 42
66794	isoprenoid biosynthesis	46.15	12 of 26
66794	sulfate reduction	46.15	6 of 13
66794	metabolism of disaccharids	45.45	5 of 11
66794	histidine metabolism	44.83	13 of 29
66794	nitrate assimilation	44.44	4 of 9
66794	degradation of sugar acids	44	11 of 25
66794	citric acid cycle	42.86	6 of 14
66794	tyrosine metabolism	42.86	6 of 14
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	arachidonate biosynthesis	40	2 of 5
66794	polyamine pathway	39.13	9 of 23
66794	proline metabolism	36.36	4 of 11
66794	vitamin B6 metabolism	36.36	4 of 11
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	degradation of hexoses	33.33	6 of 18
66794	valine metabolism	33.33	3 of 9
66794	IAA biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	coenzyme M biosynthesis	30	3 of 10
66794	degradation of pentoses	28.57	8 of 28
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	cyclohexanol degradation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	leucine metabolism	23.08	3 of 13
66794	ascorbate metabolism	22.73	5 of 22
66794	arachidonic acid metabolism	22.22	4 of 18
66794	allantoin degradation	22.22	2 of 9
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	glutathione metabolism	21.43	3 of 14

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Mud (Sludge)

Isolation

@ref	Sample type
453	mud
46926	Mud
67770	Mud

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
453	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	Romboutsia_lituseburensis_assembly1 assembly for Romboutsia lituseburensis A25K	scaffold	GCA_900002825	1537.3		1537	72.08
67770	IMG-taxon 2634166902 annotated assembly for Romboutsia lituseburensis DSM 797	scaffold	GCA_900103615	1121325.3	2634166902	1121325	71.67

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
453	[Clostridium] lituseburense strain ATCC 25759 16S ribosomal RNA gene, partial sequence	M59107	1510		1121325
67770	Romboutsia lituseburensis gene for 16S ribosomal RNA, partial sequence, strain: JCM 1404	LC007106	1464		1537

GC content

@ref	GC-content (mol%)	Method
453	27.0
67770	27	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Romboutsia_lituseburensis_assembly1 assembly for Romboutsia lituseburensis A25K
NCBI: GCA_900002825

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	97.65	no
125439	gram_stain	BacteriaNetⓘ	positive	69.48	no
125439	motility	BacteriaNetⓘ	yes	66.79	no
125439	spore_formation	BacteriaNetⓘ	yes	52.48	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Romboutsia lituseburensis DSM 797
PATRIC: 1121325.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	71.62	no
125438	anaerobic	anaerobicⓘ	yes	84.31	yes
125438	spore-forming	spore-formingⓘ	yes	73.16	no
125438	aerobic	aerobicⓘ	no	97.11	yes
125438	thermophilic	thermophileⓘ	no	93.96	yes
125438	flagellated	motile2+ⓘ	yes	76.69	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	The protective role of commensal gut microbes and their metabolites against bacterial pathogens.	Cheng L, Correia MSP, Higdon SM, Romero Garcia F, Tsiara I, Joffre E, Sjoling A, Boulund F, Norin EL, Engstrand L, Globisch D, Du J.	Gut Microbes	10.1080/19490976.2024.2356275	2024
	Pioneer colonizers: Bacteria that alter the chicken intestinal morphology and development of the microbiota.	Lee MD, Pedroso AA, Lumpkins B, Cho Y, Maurer JJ.	Front Physiol	10.3389/fphys.2023.1139321	2023
Transcriptome	16S rRNA and transcriptome analysis revealed the regulatory mechanism of Romboutsia lituseburensis on serum immunoglobulin levels in geese.	He Z, Guo M, Zhang X, Wang S, Liu T, Lin Y, Ouyang Q, Hu S, He H, Li L, Liu H, Wang J.	Poult Sci	10.1016/j.psj.2025.105018	2025
Metabolism	Romboutsia lituseburensis JCM1404 supplementation ameliorated endothelial function via gut microbiota modulation and lipid metabolisms alterations in obese rats.	Yin H, Huang J, Guo X, Xia J, Hu M.	FEMS Microbiol Lett	10.1093/femsle/fnad016	2023
	Anaerostipes caccae CML199 enhances bone development and counteracts aging-induced bone loss through the butyrate-driven gut-bone axis: the chicken model.	Lyu Z, Yuan G, Zhang Y, Zhang F, Liu Y, Li Y, Li G, Wang Y, Zhang M, Hu Y, Guo Y, Liu D.	Microbiome	10.1186/s40168-024-01920-y	2024
	Characteristic dysbiosis in patients with type 2 diabetes and hyperuricemia, and the effect of empagliflozin on gut microbiota.	Deng XR, Zhai YJ, Shi XY, Tang SS, Fang YY, Heng HY, Zhao LY, Yuan HJ.	World J Diabetes	10.4239/wjd.v16.i4.102970	2025
	Enterotype-stratified gut microbial signatures in MASLD and cirrhosis based on integrated microbiome data.	Yuan H, Zhou J, Wu X, Wang S, Park S.	Front Microbiol	10.3389/fmicb.2025.1568672	2025
	Mining chicken ileal microbiota for immunomodulatory microorganisms.	Liu Y, Feng Y, Yang X, Lv Z, Li P, Zhang M, Wei F, Jin X, Hu Y, Guo Y, Liu D.	ISME J	10.1038/s41396-023-01387-z	2023
Phylogeny	Microbiota Characterization of the Cow Mammary Gland Microenvironment and Its Association with Somatic Cell Count.	Liu J, Liu H, Cao G, Cui Y, Wang H, Chen X, Xu F, Li X.	Vet Sci	10.3390/vetsci10120699	2023
	Fecal microbiome composition and diversity of cryopreserved canine stool at different duration and storage conditions.	Barko P, Nguyen-Edquilang J, Williams DA, Gal A.	PLoS One	10.1371/journal.pone.0294730	2024
	Gut microbiota profile of COVID-19 patients: Prognosis and risk stratification (MicroCOVID-19 study).	Nobre JG, Delgadinho M, Silva C, Mendes J, Mateus V, Ribeiro E, Costa DA, Lopes M, Pedroso AI, Trigueiros F, Rodrigues MI, de Sousa CL, Brito M.	Front Microbiol	10.3389/fmicb.2022.1035422	2022
Metabolism	Exploring the role of gut microbiota modulation in the long-term therapeutic benefits of early MSC transplantation in MRL/lpr mice.	Pan Q, Guo F, Chen J, Huang H, Huang Y, Liao S, Xiao Z, Wang X, You L, Yang L, Huang X, Xiao H, Liu HF, Pan Q.	Cell Mol Biol Lett	10.1186/s11658-025-00716-8	2025
	Analysis of Clostridium cluster XI bacteria in human feces.	Ohashi Y, Fujisawa T.	Biosci Microbiota Food Health	10.12938/bmfh.18-023	2019
Metabolism	The Antioxidants Glutathione, Ascorbic Acid and Uric Acid Maintain Butyrate Production by Human Gut Clostridia in The Presence of Oxygen In Vitro.	Million M, Armstrong N, Khelaifia S, Guilhot E, Richez M, Lagier JC, Dubourg G, Chabriere E, Raoult D.	Sci Rep	10.1038/s41598-020-64834-3	2020
	Epigallocatechin-3-Gallate Decreases Plasma and Urinary Levels of p-Cresol by Modulating Gut Microbiota in Mice.	Unno T, Ichitani M.	ACS Omega	10.1021/acsomega.2c04731	2022
	The gut microbiota of non-obese Japanese pregnant women with gestational diabetes mellitus.	Tanaka K, Harata G, Miyazawa K, He F, Tanigaki S, Kobayashi Y.	Biosci Microbiota Food Health	10.12938/bmfh.2021-025	2022
	Alterations of the Intestinal Permeability are Reflected by Changes in the Urine Metabolome of Young Autistic Children: Preliminary Results.	Piras C, Mussap M, Noto A, De Giacomo A, Cristofori F, Spada M, Fanos V, Atzori L, Francavilla R.	Metabolites	10.3390/metabo12020104	2022
	Microbial and Antimicrobial Resistance Profiles of Microbiota in Common Carps (Cyprinus carpio) from Aquacultured and Wild Fish Populations.	Ruzauskas M, Armalyte J, Lastauskiene E, Siugzdiniene R, Klimiene I, Mockeliunas R, Bartkiene E.	Animals (Basel)	10.3390/ani11040929	2021
	Identification of Homologous Polyprenols from Thermophilic Bacteria.	Gharwalova L, Palyzova A, Maresova H, Kolouchova I, Kyselova L, Rezanka T.	Microorganisms	10.3390/microorganisms9061168	2021
	An iron corrosion-assisted H₂-supplying system: a culture method for methanogens and acetogens under low H₂ pressures.	Kato S, Takashino M, Igarashi K, Mochimaru H, Mayumi D, Tamaki H.	Sci Rep	10.1038/s41598-020-76267-z	2020
Metabolism	The cellular lipids of Romboutsia.	Guan Z, Chen L, Gerritsen J, Smidt H, Goldfine H.	Biochim Biophys Acta	10.1016/j.bbalip.2016.06.006	2016
	Gut mobilization improves behavioral symptoms and modulates urinary p-cresol in chronically constipated autistic children: A prospective study.	Turriziani L, Ricciardello A, Cucinotta F, Bellomo F, Turturo G, Boncoddo M, Mirabelli S, Scattoni ML, Rossi M, Persico AM.	Autism Res	10.1002/aur.2639	2022
Metabolism	Identification of phenol- and p-cresol-producing intestinal bacteria by using media supplemented with tyrosine and its metabolites.	Saito Y, Sato T, Nomoto K, Tsuji H.	FEMS Microbiol Ecol	10.1093/femsec/fiy125	2018
Genetics	Major genetic discontinuity and novel toxigenic species in Clostridioides difficile taxonomy.	Knight DR, Imwattana K, Kullin B, Guerrero-Araya E, Paredes-Sabja D, Didelot X, Dingle KE, Eyre DW, Rodriguez C, Riley TV.	Elife	10.7554/elife.64325	2021
Metabolism	Production of p-cresol by Decarboxylation of p-HPA by All Five Lineages of Clostridioides difficile Provides a Growth Advantage.	Harrison MA, Kaur H, Wren BW, Dawson LF.	Front Cell Infect Microbiol	10.3389/fcimb.2021.757599	2021
	Environmental Chemical Diethylhexyl Phthalate Alters Intestinal Microbiota Community Structure and Metabolite Profile in Mice.	Lei M, Menon R, Manteiga S, Alden N, Hunt C, Alaniz RC, Lee K, Jayaraman A.	mSystems	10.1128/msystems.00724-19	2019
Metabolism	Protein- and RNA-Enhanced Fermentation by Gut Microbiota of the Earthworm Lumbricus terrestris.	Zeibich L, Schmidt O, Drake HL.	Appl Environ Microbiol	10.1128/aem.00657-18	2018
Metabolism	[Anaerobic bacteria involved in the degradation of aromatic sulfonates to methane].	Shcherbakova VA, Laurinavichyus KS, Chuvil'skaya NA, Ryzhmanova YV, Akimenko VK	Prikl Biokhim Mikrobiol	10.7868/s0555109915020191	2015
Phylogeny	Characterization of a potentially novel 'blown pack' spoilage bacterium isolated from bovine hide.	Moschonas G, Bolton DJ	J Appl Microbiol	10.1111/jam.12077	2012
Phylogeny	[Identification and metabolism characterization of a Clostridium lituseburense strain isolated from high-altitude soil].	Liu Q, Liu H, Deng Y, Hu G, Zhang H	Wei Sheng Wu Xue Bao		2010
Phylogeny	Characterization of Romboutsia ilealis gen. nov., sp. nov., isolated from the gastro-intestinal tract of a rat, and proposal for the reclassification of five closely related members of the genus Clostridium into the genera Romboutsia gen. nov., Intestinibacter gen. nov., Terrisporobacter gen. nov. and Asaccharospora gen. nov.	Gerritsen J, Fuentes S, Grievink W, van Niftrik L, Tindall BJ, Timmerman HM, Rijkers GT, Smidt H.	Int J Syst Evol Microbiol	10.1099/ijs.0.059543-0	2014
Phylogeny	Romboutsia hominis sp. nov., the first human gut-derived representative of the genus Romboutsia, isolated from ileostoma effluent.	Gerritsen J, Umanets A, Staneva I, Hornung B, Ritari J, Paulin L, Rijkers GT, de Vos WM, Smidt H	Int J Syst Evol Microbiol	10.1099/ijsem.0.003012	2018
Phylogeny	Romboutsia sedimentorum sp. nov., isolated from an alkaline-saline lake sediment and emended description of the genus Romboutsia.	Wang Y, Song J, Zhai Y, Zhang C, Gerritsen J, Wang H, Chen X, Li Y, Zhao B, Zhao B, Ruan Z	Int J Syst Evol Microbiol	10.1099/ijs.0.000079	2015

References

#453	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 797
#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 )
#46926	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 18920
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Romboutsia lituseburensis (DSM 797, ATCC 25759, BCRC 14536)

Name and taxonomic classification

Morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900002825

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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