Rhodovulum sulfidophilum (DSM 1374, ATCC 35886, LMG 5202)

Name: Rhodovulum sulfidophilum (DSM 1374, ATCC 35886, LMG 5202)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13742

Type strain

Strain Designation W4

Culture col. no. DSM 1374 ATCC 35886 LMG 5202 W4

NCBI tax ID(s) 1188256 35806

Special Collections DSMZ

History <- T.A. Hansen, W4

Links

Rhodovulum sulfidophilum W4 is an anaerobe bacterium that was isolated from mud from intertidal flats.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 4840

LMG 5201,DSM 1374,ATCC 35886,BCRC 16417,CCRC 16417

@ref 20215

Last LPSN update 2026-02-09 11:21:13

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Roseobacteraceae

Genus Rhodovulum

Species Rhodovulum sulfidophilum

Full scientific name Rhodovulum sulfidophilum (Hansen and Veldkamp 1973) Hiraishi and Ueda 1994

Synonyms (2)

Rhodopseudomonas sulfidophila
Rhodobacter sulfidophilus

BacDive ID	Other strains from **Rhodovulum sulfidophilum** (1)	Type strain
13741	R. sulfidophilum W12, DSM 2351

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99
125439	negative	99.1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
754	RHODOSPIRILLACEAE MEDIUM (modified) (DSMZ Medium 27)		Medium recipe at MediaDive	Name: RHODOSPIRILLACEAE MEDIUM (modified) (DSMZ Medium 27; with strain-specific modifications) Composition: NaCl 25.0 g/l Disodium succinate 1.0 g/l KH2PO4 0.5 g/l Ammonium acetate 0.5 g/l MgSO4 x 7 H2O 0.4 g/l NH4Cl 0.4 g/l L-Cysteine HCl 0.3 g/l Yeast extract 0.3 g/l CaCl2 x 2 H2O 0.05 g/l Resazurin 0.005 g/l Fe(III) citrate 0.005 g/l H3BO3 0.0003 g/l CoCl2 x 6 H2O 0.0002 g/l ZnSO4 x 7 H2O 0.0001 g/l MnCl2 x 4 H2O 3e-05 g/l Na2MoO4 x 2 H2O 3e-05 g/l NiCl2 x 6 H2O 2e-05 g/l CuCl2 x 2 H2O 1e-05 g/l Vitamin B12 Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
754	positive	growth	28

Physiology and metabolism

Oxygen tolerance

754

Oxygen toleranceanaerobe

Spore formation

@ref	Spore formation	Confidence
125439		97

Compound production

@ref	Compound
754	ubiquinone-10
754	hydrogen

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	butanoate fermentation	100	4 of 4
66794	cyanate degradation	100	3 of 3
66794	cardiolipin biosynthesis	100	7 of 7
66794	glycogen metabolism	100	5 of 5
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	CMP-KDO biosynthesis	100	4 of 4
66794	threonine metabolism	100	10 of 10
66794	molybdenum cofactor biosynthesis	100	9 of 9
66794	enterobactin biosynthesis	100	3 of 3
66794	hydrogen production	100	5 of 5
66794	valine metabolism	100	9 of 9
66794	palmitate biosynthesis	100	22 of 22
66794	glycogen biosynthesis	100	4 of 4
66794	methylglyoxal degradation	100	5 of 5
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	gluconeogenesis	100	8 of 8
66794	coenzyme A metabolism	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	ceramide biosynthesis	100	1 of 1
66794	formaldehyde oxidation	100	3 of 3
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	propionate fermentation	100	10 of 10
66794	glycine betaine biosynthesis	100	5 of 5
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	photosynthesis	92.86	13 of 14
66794	vitamin B1 metabolism	92.31	12 of 13
66794	Entner Doudoroff pathway	90	9 of 10
66794	alanine metabolism	89.66	26 of 29
66794	glutamate and glutamine metabolism	89.29	25 of 28
66794	lipid A biosynthesis	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	d-mannose degradation	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	allantoin degradation	88.89	8 of 9
66794	vitamin B12 metabolism	88.24	30 of 34
66794	isoleucine metabolism	87.5	7 of 8
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	propanol degradation	85.71	6 of 7
66794	citric acid cycle	85.71	12 of 14
66794	phenylalanine metabolism	84.62	11 of 13
66794	leucine metabolism	84.62	11 of 13
66794	purine metabolism	84.04	79 of 94
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	NAD metabolism	83.33	15 of 18
66794	proline metabolism	81.82	9 of 11
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	cellulose degradation	80	4 of 5
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	creatinine degradation	80	4 of 5
66794	pyrimidine metabolism	80	36 of 45
66794	peptidoglycan biosynthesis	80	12 of 15
66794	glutathione metabolism	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	histidine metabolism	75.86	22 of 29
66794	acetate fermentation	75	3 of 4
66794	toluene degradation	75	3 of 4
66794	biotin biosynthesis	75	3 of 4
66794	lactate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	ketogluconate metabolism	75	6 of 8
66794	oxidative phosphorylation	74.73	68 of 91
66794	flavin biosynthesis	73.33	11 of 15
66794	pentose phosphate pathway	72.73	8 of 11
66794	vitamin B6 metabolism	72.73	8 of 11
66794	chlorophyll metabolism	72.22	13 of 18
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	lipid metabolism	70.97	22 of 31
66794	4-hydroxyphenylacetate degradation	70	7 of 10
66794	isoprenoid biosynthesis	69.23	18 of 26
66794	sulfate reduction	69.23	9 of 13
66794	degradation of sugar alcohols	68.75	11 of 16
66794	tryptophan metabolism	68.42	26 of 38
66794	degradation of aromatic, nitrogen containing compounds	66.67	8 of 12
66794	acetoin degradation	66.67	2 of 3
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	methane metabolism	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	methionine metabolism	65.38	17 of 26
66794	glycolysis	64.71	11 of 17
66794	tetrahydrofolate metabolism	64.29	9 of 14
66794	lysine metabolism	64.29	27 of 42
66794	non-pathway related	63.16	24 of 38
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	cysteine metabolism	61.11	11 of 18
66794	vitamin K metabolism	60	3 of 5
66794	starch degradation	60	6 of 10
66794	arginine metabolism	58.33	14 of 24
66794	tyrosine metabolism	57.14	8 of 14
66794	mevalonate metabolism	57.14	4 of 7
66794	degradation of sugar acids	56	14 of 25
66794	metabolism of disaccharids	54.55	6 of 11
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	ribulose monophosphate pathway	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	selenocysteine biosynthesis	50	3 of 6
66794	degradation of pentoses	50	14 of 28
66794	glycine metabolism	50	5 of 10
66794	phenylmercury acetate degradation	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	cyclohexanol degradation	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	3-phenylpropionate degradation	46.67	7 of 15
66794	urea cycle	46.15	6 of 13
66794	ascorbate metabolism	45.45	10 of 22
66794	4-hydroxymandelate degradation	44.44	4 of 9
66794	androgen and estrogen metabolism	43.75	7 of 16
66794	myo-inositol biosynthesis	40	4 of 10
66794	coenzyme M biosynthesis	40	4 of 10
66794	arachidonate biosynthesis	40	2 of 5
66794	factor 420 biosynthesis	40	2 of 5
66794	phenol degradation	40	8 of 20
66794	lipoate biosynthesis	40	2 of 5
66794	arachidonic acid metabolism	38.89	7 of 18
66794	degradation of hexoses	38.89	7 of 18
66794	carnitine metabolism	37.5	3 of 8
66794	polyamine pathway	34.78	8 of 23
66794	nitrate assimilation	33.33	3 of 9
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	phosphatidylethanolamine bioynthesis	30.77	4 of 13
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	d-xylose degradation	27.27	3 of 11
66794	methanogenesis from CO2	25	3 of 12
66794	alginate biosynthesis	25	1 of 4
66794	carotenoid biosynthesis	22.73	5 of 22

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
754	mud from intertidal flats	Netherlands	NLD	Europe

Taxonmaps

69479

Global distribution of 16S sequence D16423 (>99% sequence identity) for Rhodovulum sulfidophilum from Microbeatlas

Aquatic Samples	4467
Soil Samples	533
Animal Samples	971
Plant Samples	101
Total Samples	6072

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
754	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	ASM163314v1 assembly for Rhodovulum sulfidophilum SNK001	complete	GCA_001633145	35806.7	2687453539	35806	99.08
66792	ASM163316v1 assembly for Rhodovulum sulfidophilum DSM 1374	complete	GCA_001633165		2687453592	1188256	98.66
66792	ASM52013v2 assembly for Rhodovulum sulfidophilum DSM 1374	chromosome	GCA_000520135		2667527571	1188256	62.45

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Rhodovulum sulfidophilum strain ATCC 35886 16S ribosomal RNA gene, partial sequence	DQ342323	1389	1188256
20218	Rhodovulum sulfidophilum gene for 16S ribosomal RNA, partial sequence and upstream region, strain: DSM 1374	AB513346	726	1188256
20218	Rhodovulum sulfidophilum gene for 16S rRNA, strain: DSM1374	D16423	1389	1188256
20218	Rhodovulum sulfidophilum 16S rRNA	D13475	1378	35806

GC content

754

GC-content (mol%)70.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Rhodovulum sulfidophilum DSM 1374
NCBI: GCA_001633165

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	82.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.10	no
125439	motility	BacteriaNetⓘ	yes	71.00	no
125439	spore_formation	BacteriaNetⓘ	no	97.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Rhodovulum sulfidophilum DSM 1374 DSM 1374
NCBI: GCA_001633165.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	54.24	yes
125438	aerobic	aerobicⓘ	no	60.92	yes
125438	spore-forming	spore-formingⓘ	no	88.77	no
125438	thermophilic	thermophileⓘ	no	95.68	yes
125438	flagellated	motile2+ⓘ	yes	70.40	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Cultivation	Low-salinity medium for large-scale biomass production of the marine purple photosynthetic bacterium Rhodovulum sulfidophilum.	Morey-Yagi SR, Hanh DD, Suzuki M, Kato S, Liou G, Kuroishikawa Y, Yamaguchi A, Morishita H, Odahara M, Numata K.	PLoS One	10.1371/journal.pone.0321821	2025
	Purple non-sulfur bacteria as cell factories to produce a copolymer as PHBV under light/dark cycle in a 4-L photobioreactor.	Carlozzi P, Touloupakis E, Filippi S, Cinelli P, Mezzetta A, Seggiani M.	J Biotechnol	10.1016/j.jbiotec.2022.07.008	2022
Metabolism	Bioplastic production by feeding the marine Rhodovulum sulfidophilum DSM-1374 with four different carbon sources under batch, fed-batch and semi-continuous growth regimes.	Carlozzi P, Touloupakis E.	N Biotechnol	10.1016/j.nbt.2020.12.002	2021
	Extraction of Polyhydroxyalkanoates from Purple Non-Sulfur Bacteria by Non-Chlorinated Solvents.	Filippi S, Cinelli P, Mezzetta A, Carlozzi P, Seggiani M.	Polymers (Basel)	10.3390/polym13234163	2021
Metabolism	Effects of pH, temperature and salinity on P3HB synthesis culturing the marine Rhodovulum sulfidophilum DSM-1374.	Carlozzi P, Di Lorenzo T, Ghanotakis DF, Touloupakis E.	Appl Microbiol Biotechnol	10.1007/s00253-020-10352-1	2020
	Structural and regulatory determinants of flagellar motility in Rhodobacterales-the archetypal flagellum of Phaeobacter inhibens DSM 17395.	Tomasch J, Bartling P, Vollmers J, Wohlbrand L, Jarek M, Rohde M, Brinkmann H, Freese HM, Rabus R, Petersen J.	mSystems	10.1128/msystems.00419-25	2025
	Draft Genome Sequences of Three Closely Related Isolates of the Purple Nonsulfur Bacterium Rhodovulum sulfidophilum.	Guzman MS, McGinley B, Santiago-Merced N, Gupta D, Bose A.	Genome Announc	10.1128/genomea.00029-17	2017
	Complete Genome Sequence of Rhodovulum sulfidophilum DSM 2351, an Extracellular Nucleic Acid-Producing Bacterium.	Nagao N, Hirose Y, Misawa N, Ohtsubo Y, Umekage S, Kikuchi Y.	Genome Announc	10.1128/genomea.00388-15	2015
Genetics	The gene transfer agent-like particle of the marine phototrophic bacterium Rhodovulum sulfidophilum.	Nagao N, Yamamoto J, Komatsu H, Suzuki H, Hirose Y, Umekage S, Ohyama T, Kikuchi Y.	Biochem Biophys Rep	10.1016/j.bbrep.2015.11.002	2015
	An overview of anoxygenic phototrophic bacteria and their applications in environmental biotechnology for sustainable Resource recovery.	George DM, Vincent AS, Mackey HR.	Biotechnol Rep (Amst)	10.1016/j.btre.2020.e00563	2020
	Whole-Genome Sequence of the Purple Photosynthetic Bacterium Rhodovulum sulfidophilum Strain W4.	Masuda S, Hori K, Maruyama F, Ren S, Sugimoto S, Yamamoto N, Mori H, Yamada T, Sato S, Tabata S, Ohta H, Kurokawa K.	Genome Announc	10.1128/genomea.00577-13	2013
	Genome-Wide Discovery of Putative sRNAs in Paracoccus denitrificans Expressed under Nitrous Oxide Emitting Conditions.	Gaimster H, Chalklen L, Alston M, Munnoch JT, Richardson DJ, Gates AJ, Rowley G.	Front Microbiol	10.3389/fmicb.2016.01806	2016
Genetics	Cultivation-Independent and Cultivation-Dependent Analysis of Microbes in the Shallow-Sea Hydrothermal System Off Kueishantao Island, Taiwan: Unmasking Heterotrophic Bacterial Diversity and Functional Capacity.	Tang K, Zhang Y, Lin D, Han Y, Chen CA, Wang D, Lin YS, Sun J, Zheng Q, Jiao N.	Front Microbiol	10.3389/fmicb.2018.00279	2018
	Horizontal operon transfer, plasmids, and the evolution of photosynthesis in Rhodobacteraceae.	Brinkmann H, Goker M, Koblizek M, Wagner-Dobler I, Petersen J.	ISME J	10.1038/s41396-018-0150-9	2018
	Brain-Targeted Delivery of Pre-miR-29b Using Lactoferrin-Stearic Acid-Modified-Chitosan/Polyethyleneimine Polyplexes.	Pereira P, Barreira M, Cruz C, Tomas J, Luis A, Pedro AQ, Queiroz JA, Sousa F.	Pharmaceuticals (Basel)	10.3390/ph13100314	2020
Metabolism	Extracellular RNAs produced by a marine photosynthetic bacterium Rhodovulum sulfidophilum.	Ando T, Suzuki H, Komura K, Tanaka T, Hiraishi A, Kikuchi Y.	Nucleic Acids Symp Ser (Oxf)	10.1093/nass/48.1.165	2004
Genetics	Osmotic Adaptation and Compatible Solute Biosynthesis of Phototrophic Bacteria as Revealed from Genome Analyses.	Imhoff JF, Rahn T, Kunzel S, Keller A, Neulinger SC.	Microorganisms	10.3390/microorganisms9010046	2020
	Conformational switching in a light-harvesting protein as followed by single-molecule spectroscopy.	Gall A, Ilioaia C, Kruger TP, Novoderezhkin VI, Robert B, van Grondelle R.	Biophys J	10.1016/j.bpj.2015.04.017	2015
Phylogeny	Photosynthesis Is Widely Distributed among Proteobacteria as Demonstrated by the Phylogeny of PufLM Reaction Center Proteins.	Imhoff JF, Rahn T, Kunzel S, Neulinger SC.	Front Microbiol	10.3389/fmicb.2017.02679	2017
Metabolism	Restricted Localization of Photosynthetic Intracytoplasmic Membranes (ICMs) in Multiple Genera of Purple Nonsulfur Bacteria.	LaSarre B, Kysela DT, Stein BD, Ducret A, Brun YV, McKinlay JB.	mBio	10.1128/mbio.00780-18	2018
Enzymology	Distribution and origin of oxygen-dependent and oxygen-independent forms of Mg-protoporphyrin monomethylester cyclase among phototrophic proteobacteria.	Boldareva-Nuianzina EN, Blahova Z, Sobotka R, Koblizek M.	Appl Environ Microbiol	10.1128/aem.00104-13	2013
	Recombinant pre-miR-29b for Alzheimer´s disease therapeutics.	Pereira PA, Tomas JF, Queiroz JA, Figueiras AR, Sousa F.	Sci Rep	10.1038/srep19946	2016
	Extracellular production of an RNA aptamer by ribonuclease-free marine bacteria harboring engineered plasmids: a proposal for industrial RNA drug production.	Suzuki H, Ando T, Umekage S, Tanaka T, Kikuchi Y.	Appl Environ Microbiol	10.1128/aem.01971-09	2010
Enzymology	Role of the Extremolytes Ectoine and Hydroxyectoine as Stress Protectants and Nutrients: Genetics, Phylogenomics, Biochemistry, and Structural Analysis.	Czech L, Hermann L, Stoveken N, Richter AA, Hoppner A, Smits SHJ, Heider J, Bremer E.	Genes (Basel)	10.3390/genes9040177	2018
	Autotrophic bacterial production of polyhydroxyalkanoates using carbon dioxide as a sustainable carbon source.	Sathiyanarayanan G, Esteves S.	Front Bioeng Biotechnol	10.3389/fbioe.2025.1545438	2025
	Distribution of Phototrophic Purple Nonsulfur Bacteria in Massive Blooms in Coastal and Wastewater Ditch Environments.	Hiraishi A, Nagao N, Yonekawa C, Umekage S, Kikuchi Y, Eki T, Hirose Y	Microorganisms	10.3390/microorganisms8020150	2020
Metabolism	Albidovulum inexpectatum gen. nov., sp. nov., a nonphotosynthetic and slightly thermophilic bacterium from a marine hot spring that is very closely related to members of the photosynthetic genus Rhodovulum.	Albuquerque L, Santos J, Travassos P, Nobre MF, Rainey FA, Wait R, Empadinhas N, Silva MT, da Costa MS.	Appl Environ Microbiol	10.1128/aem.68.9.4266-4273.2002	2002
Phylogeny	Rhodovulum visakhapatnamense sp. nov.	Srinivas TNR, Anil Kumar P, Sasikala C, Ramana CV, Imhoff JF	Int J Syst Evol Microbiol	10.1099/ijs.0.65076-0	2007

References

#754	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 1374
#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 )
#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 )
#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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Rhodovulum sulfidophilum (DSM 1374, ATCC 35886, LMG 5202)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Compound production

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001633145

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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