Name: Pararhodospirillum photometricum DSM 122
Creator: BacDive
License: http://creativecommons.org/licenses/by-nc/4.0/

Strain identifier

BacDive ID: 14004

Type strain:

Species: Pararhodospirillum photometricum

Culture col. no.: DSM 122, ATCC 49918, NTHC 132

Strain history: <- K.E. Eimhjellen, NTHC 132

NCBI tax ID(s): 1150469 (strain), 1084 (species)

SI-ID 46130

ATCC 49918, DSM 122

Other strains from Pararhodospirillum photometricum

P. photometricum 6960, DSM 118, Pfennig 6960
P. photometricum S-49, DSM 1774
P. photometricum DSM 2341, ATCC 27871

Section

Pararhodospirillum photometricum DSM 122 is an anaerobe, mesophilic, motile bacterium of the family Rhodospirillaceae.

motile
anaerobe
mesophilic
16S sequence
Bacteria
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	14-12-2023 (DD-MM-YYYY)
	Domain	"Bacteria"
	Phylum	*Pseudomonadota*
	Class	*Alphaproteobacteria*
	Order	*Rhodospirillales*
	Family	*Rhodospirillaceae*
	Genus	*Pararhodospirillum*
	Species	**Pararhodospirillum photometricum**
	Full Scientific Name (LPSN)	Pararhodospirillum photometricum (Molisch 1907) Lakshmi et al. 2014

Synonym

Rhodospirillum photometricum

Information on morphological and physiological properties Morphology

[Ref.: #69480]	Gram stain	negative Confidence in %99.998

[Ref.: #69480]	Motility	yes Confidence in %91.838

Information on culture and growth conditions Culture and growth conditions

[Ref.: #2107]

Culture medium

RHODOSPIRILLACEAE MEDIUM (modified) (DSMZ Medium 27)

[Ref.: #2107]

Culture medium growth

[Ref.: #2107]

Culture medium link

Medium recipe at MediaDive

[Ref.: #2107]

Culture medium composition

expand / minimize

	Temperatures	Kind of temperature		Temperature
[Ref.: #2107]			growth	28 °C

[Ref.: #2107]

Temperature range

mesophilic

Information on physiology and metabolism Physiology and metabolism

[Ref.: #2107]	Oxygen tolerance	anaerobe
[Ref.: #69480]	Oxygen tolerance	anaerobe Confidence in %97.763

[Ref.: #69481]	Ability of spore formation	no Confidence in %95
[Ref.: #69480]	Ability of spore formation	no Confidence in %99.948

	Pathway	Enzyme coverage	Annotated reactions
	Pathway annotation	Computationally determined by
[Ref.: #66794]	anapleurotic synthesis of oxalacetate	100	1 of 1
[Ref.: #66794]	L-lactaldehyde degradation	100	3 of 3
[Ref.: #66794]	suberin monomers biosynthesis	100	2 of 2
[Ref.: #66794]	biotin biosynthesis	100	4 of 4
[Ref.: #66794]	CDP-diacylglycerol biosynthesis	100	2 of 2
[Ref.: #66794]	ppGpp biosynthesis	100	4 of 4
[Ref.: #66794]	adipate degradation	100	2 of 2
[Ref.: #66794]	photosynthesis	100	14 of 14
[Ref.: #66794]	hydrogen production	100	5 of 5
[Ref.: #66794]	methylglyoxal degradation	100	5 of 5
[Ref.: #66794]	folate polyglutamylation	100	1 of 1
[Ref.: #66794]	cis-vaccenate biosynthesis	100	2 of 2
[Ref.: #66794]	palmitate biosynthesis	100	22 of 22
[Ref.: #66794]	coenzyme A metabolism	100	4 of 4
[Ref.: #66794]	UDP-GlcNAc biosynthesis	100	3 of 3
[Ref.: #66794]	propionate fermentation	90	9 of 10
[Ref.: #66794]	CO2 fixation in Crenarchaeota	88.89	8 of 9
[Ref.: #66794]	aspartate and asparagine metabolism	88.89	8 of 9
[Ref.: #66794]	lipid A biosynthesis	88.89	8 of 9
[Ref.: #66794]	NAD metabolism	88.89	16 of 18
[Ref.: #66794]	chorismate metabolism	88.89	8 of 9
[Ref.: #66794]	valine metabolism	88.89	8 of 9
[Ref.: #66794]	C4 and CAM-carbon fixation	87.5	7 of 8
[Ref.: #66794]	isoleucine metabolism	87.5	7 of 8
[Ref.: #66794]	heme metabolism	85.71	12 of 14
[Ref.: #66794]	propanol degradation	85.71	6 of 7
[Ref.: #66794]	ubiquinone biosynthesis	85.71	6 of 7
[Ref.: #66794]	vitamin B12 metabolism	85.29	29 of 34
[Ref.: #66794]	phenylalanine metabolism	84.62	11 of 13
[Ref.: #66794]	vitamin B1 metabolism	84.62	11 of 13
[Ref.: #66794]	phenylacetate degradation (aerobic)	80	4 of 5
[Ref.: #66794]	ethylmalonyl-CoA pathway	80	4 of 5
[Ref.: #66794]	peptidoglycan biosynthesis	80	12 of 15
[Ref.: #66794]	Entner Doudoroff pathway	80	8 of 10
[Ref.: #66794]	citric acid cycle	78.57	11 of 14
[Ref.: #66794]	serine metabolism	77.78	7 of 9
[Ref.: #66794]	leucine metabolism	76.92	10 of 13
[Ref.: #66794]	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
[Ref.: #66794]	glutamate and glutamine metabolism	75	21 of 28
[Ref.: #66794]	gluconeogenesis	75	6 of 8
[Ref.: #66794]	glycogen biosynthesis	75	3 of 4
[Ref.: #66794]	methionine metabolism	73.08	19 of 26
[Ref.: #66794]	vitamin B6 metabolism	72.73	8 of 11
[Ref.: #66794]	glutathione metabolism	71.43	10 of 14
[Ref.: #66794]	reductive acetyl coenzyme A pathway	71.43	5 of 7
[Ref.: #66794]	cardiolipin biosynthesis	71.43	5 of 7
[Ref.: #66794]	glycolysis	70.59	12 of 17
[Ref.: #66794]	threonine metabolism	70	7 of 10
[Ref.: #66794]	formaldehyde oxidation	66.67	2 of 3
[Ref.: #66794]	octane oxidation	66.67	2 of 3
[Ref.: #66794]	d-mannose degradation	66.67	6 of 9
[Ref.: #66794]	flavin biosynthesis	66.67	10 of 15
[Ref.: #66794]	acetoin degradation	66.67	2 of 3
[Ref.: #66794]	alanine metabolism	65.52	19 of 29
[Ref.: #66794]	isoprenoid biosynthesis	65.38	17 of 26
[Ref.: #66794]	tetrahydrofolate metabolism	64.29	9 of 14
[Ref.: #66794]	proline metabolism	63.64	7 of 11
[Ref.: #66794]	purine metabolism	62.77	59 of 94
[Ref.: #66794]	degradation of sugar alcohols	62.5	10 of 16
[Ref.: #66794]	sulfate reduction	61.54	8 of 13
[Ref.: #66794]	glycogen metabolism	60	3 of 5
[Ref.: #66794]	lipoate biosynthesis	60	3 of 5
[Ref.: #66794]	lysine metabolism	59.52	25 of 42
[Ref.: #66794]	oxidative phosphorylation	59.34	54 of 91
[Ref.: #66794]	non-pathway related	57.89	22 of 38
[Ref.: #66794]	tyrosine metabolism	57.14	8 of 14
[Ref.: #66794]	cysteine metabolism	55.56	10 of 18
[Ref.: #66794]	tryptophan metabolism	55.26	21 of 38
[Ref.: #66794]	pentose phosphate pathway	54.55	6 of 11
[Ref.: #66794]	pyrimidine metabolism	53.33	24 of 45
[Ref.: #66794]	histidine metabolism	51.72	15 of 29
[Ref.: #66794]	lipid metabolism	51.61	16 of 31
[Ref.: #66794]	ethanol fermentation	50	1 of 2
[Ref.: #66794]	dTDPLrhamnose biosynthesis	50	4 of 8
[Ref.: #66794]	CMP-KDO biosynthesis	50	2 of 4
[Ref.: #66794]	acetate fermentation	50	2 of 4
[Ref.: #66794]	glycolate and glyoxylate degradation	50	3 of 6
[Ref.: #66794]	butanoate fermentation	50	2 of 4
[Ref.: #66794]	chlorophyll metabolism	50	9 of 18
[Ref.: #66794]	sulfopterin metabolism	50	2 of 4
[Ref.: #66794]	aminopropanol phosphate biosynthesis	50	1 of 2
[Ref.: #66794]	quinate degradation	50	1 of 2
[Ref.: #66794]	arginine metabolism	45.83	11 of 24
[Ref.: #66794]	d-xylose degradation	45.45	5 of 11
[Ref.: #66794]	nitrate assimilation	44.44	4 of 9
[Ref.: #66794]	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
[Ref.: #66794]	factor 420 biosynthesis	40	2 of 5
[Ref.: #66794]	cellulose degradation	40	2 of 5
[Ref.: #66794]	vitamin K metabolism	40	2 of 5
[Ref.: #66794]	arachidonate biosynthesis	40	2 of 5
[Ref.: #66794]	starch degradation	40	4 of 10
[Ref.: #66794]	glycine metabolism	40	4 of 10
[Ref.: #66794]	coenzyme M biosynthesis	40	4 of 10
[Ref.: #66794]	urea cycle	38.46	5 of 13
[Ref.: #66794]	ketogluconate metabolism	37.5	3 of 8
[Ref.: #66794]	cholesterol biosynthesis	36.36	4 of 11
[Ref.: #66794]	polyamine pathway	34.78	8 of 23
[Ref.: #66794]	3-phenylpropionate degradation	33.33	5 of 15
[Ref.: #66794]	cyanate degradation	33.33	1 of 3
[Ref.: #66794]	acetyl CoA biosynthesis	33.33	1 of 3
[Ref.: #66794]	selenocysteine biosynthesis	33.33	2 of 6
[Ref.: #66794]	molybdenum cofactor biosynthesis	33.33	3 of 9
[Ref.: #66794]	pantothenate biosynthesis	33.33	2 of 6
[Ref.: #66794]	enterobactin biosynthesis	33.33	1 of 3
[Ref.: #66794]	IAA biosynthesis	33.33	1 of 3
[Ref.: #66794]	methane metabolism	33.33	1 of 3
[Ref.: #66794]	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
[Ref.: #66794]	ascorbate metabolism	31.82	7 of 22
[Ref.: #66794]	androgen and estrogen metabolism	31.25	5 of 16
[Ref.: #66794]	phosphatidylethanolamine bioynthesis	30.77	4 of 13
[Ref.: #66794]	4-hydroxyphenylacetate degradation	30	3 of 10
[Ref.: #66794]	aclacinomycin biosynthesis	28.57	2 of 7
[Ref.: #66794]	degradation of hexoses	27.78	5 of 18
[Ref.: #66794]	arachidonic acid metabolism	27.78	5 of 18
[Ref.: #66794]	lactate fermentation	25	1 of 4
[Ref.: #66794]	cyclohexanol degradation	25	1 of 4
[Ref.: #66794]	degradation of pentoses	25	7 of 28
[Ref.: #66794]	toluene degradation	25	1 of 4
[Ref.: #66794]	alginate biosynthesis	25	1 of 4
[Ref.: #66794]	methanogenesis from CO2	25	3 of 12
[Ref.: #66794]	carnitine metabolism	25	2 of 8
[Ref.: #66794]	phenylpropanoid biosynthesis	23.08	3 of 13
[Ref.: #66794]	carotenoid biosynthesis	22.73	5 of 22
		Only first 10 entries are displayed. Click here to see all.

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #69479]

Global distribution of 16S sequence D30777 (>99% sequence identity) for Pararhodospirillum photometricum subclade from Microbeatlas

Aquatic Samples	827
Soil Samples	75
Animal Samples	39
Plant Samples	60
Total Samples	1001

Information on possible application of the strain and its possible interaction with e.g. potential hosts Safety information

[Ref.: #2107]

Biosafety level

Risk group (German classification)
According to TRBA 466

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #2107]	Rhodospirillum photometricum 16S ribosomal RNA	AJ222662	1430	ENA	1150469 tax ID
[Ref.: #20218]	Rhodospirillum photometricum gene for 16S ribosomal RNA	D30777	1404	ENA	1084 tax ID	*

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Pararhodospirillum photometricum DSM 122	GCA_000284415	complete	GenBank	1150469 tax ID	*
[Ref.: #66792]	Rhodospirillum photometricum DSM 122	1150469.3	complete	PATRIC	1150469 tax ID	*
[Ref.: #66792]	Pararhodospirillum photometricum DSM 122	2513237204	complete	JGI IMG/M	1150469 tax ID	*

[Ref.: #2107]

GC-content

65.8 mol%

Data predicted using genome information as a basis Genome-based predictions

	Trait	Prediction	Confidence in %	In training data
	Predictions from GenomeNet Sporulation v. 1 based on: Pararhodospirillum photometricum DSM 122 DSM 122 NCBI: GCA_000284415.2
[Ref.: #69481]	spore-forming	no	95	no

	Trait	Prediction	Confidence in %	In training data
	Predictions from Diaspora project based on: Pararhodospirillum photometricum DSM 122 DSM 122 NCBI: GCA_000284415.2
[Ref.: #69480]	motile	yes	92.113	no
[Ref.: #69480]	flagellated	yes	76.27	no
[Ref.: #69480]	gram-positive	no	99.382	no
[Ref.: #69480]	anaerobic	yes	97.505	yes
[Ref.: #69480]	aerobic	no	97.78	yes
[Ref.: #69480]	halophile	no	91.164	no
[Ref.: #69480]	spore-forming	no	88.638	no
[Ref.: #69480]	thermophile	no	85.651	no
[Ref.: #69480]	glucose-util	yes	60.342	no
[Ref.: #69480]	glucose-ferment	no	84.798	no

Availability in culture collections External links

[Ref.: #2107]

Culture collection no.

DSM 122, ATCC 49918, NTHC 132

[Ref.: #83174]

SI-ID 46130

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Rhodospirillum oryzae sp. nov., a phototrophic bacterium isolated from rhizosphere soil of paddy.	Lakshmi KVNS, Sasikala C, Ramaprasad EVV, Ramana CV	Int J Syst Evol Microbiol	10.1099/ijs.0.049023-0	2013	*
Genetics	Shotgun genome sequence of the large purple photosynthetic bacterium Rhodospirillum photometricum DSM122.	Duquesne K, Sturgis JN	J Bacteriol	10.1128/JB.00168-12	2012	*

References

#2107

Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 122

#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 .

#69480

Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Predictions based on genome sequence made in the Diaspora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .

#69481

Xiao-Yin To, René Mreches, Martin Binder, Alice C. McHardy, Philipp C. Münch: Predictions based on the model GenomeNet Sporulation v. 1 . ( DOI 10.21203/rs.3.rs-2527258/v1 )

#83174

Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID46130.1 )

* These data were automatically processed and therefore are not curated

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Pararhodospirillum photometricum DSM 122 DSM 122

Pararhodospirillum photometricum DSM 122 DSM 122

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