Desulfarculus baarsii (DSM 2075, ATCC 33931, Konstanz)

Name: Desulfarculus baarsii (DSM 2075, ATCC 33931, Konstanz)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17627

Type strain

Strain Designation Konstanz, 2st14

Culture col. no. DSM 2075 ATCC 33931 Konstanz VKM B-1802 2st14

NCBI tax ID(s) 644282 453230

Special Collections DSMZ

History DSMZ <- F. Widdel, Universität Konstanz, Fakultät für Biologie, Konstanz, Germany; 2st14 <- F. Widdel {1981}

Links

Desulfarculus baarsii Konstanz is an anaerobe bacterium that was isolated from ditch mud.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 2184

LMG 7858,ATCC 33931,DSM 2075,VKM B-1802

@ref 20215

Last LPSN update 2026-05-29 08:29:03

Domain Bacteria

Phylum Thermodesulfobacteriota

Class Desulfarculia

Order Desulfarculales

Family Desulfarculaceae

Genus Desulfarculus

Species Desulfarculus baarsii

Full scientific name Desulfarculus baarsii (Widdel 1981) Kuever et al. 2006

Synonyms (2)

Desulfovibrio baarsii
"Desulfoarculus baarsii"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	95

Colony morphology

711

Incubation period3-7 days

Multimedia

@ref:	66793
multimedia content:	EM_DSM_2075_1.jpg
multimedia.multimedia content:	EM_DSM_2075_1.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
711	DESULFOFABA MEDIUM (DSMZ Medium 193b)		Medium recipe at MediaDive	Name: DESULFOFABA MEDIUM (DSMZ Medium 193b; with strain-specific modifications) Composition: MgCl2 x 6 H2O 11.4656 g/l NaCl 6.97906 g/l Na2SO4 2.99102 g/l Na2CO3 1.49551 g/l CaCl2 x 2 H2O 1.49551 g/l Na-butyrate 0.697906 g/l KCl 0.498505 g/l Na2S x 9 H2O 0.398804 g/l Na-caproate 0.299103 g/l NH4Cl 0.299102 g/l KH2PO4 0.199402 g/l Sodium octanoate 0.149551 g/l HCl 0.00249252 g/l FeCl2 x 4 H2O 0.00149551 g/l Sodium resazurin 0.000498505 g/l NaOH 0.000498504 g/l Pyridoxine hydrochloride 0.000299103 g/l Thiamine-HCl x 2 H2O 0.000199402 g/l Nicotinic acid 0.000199402 g/l CoCl2 x 6 H2O 0.000189432 g/l MnCl2 x 4 H2O 9.97009e-05 g/l Calcium pantothenate 9.97009e-05 g/l Vitamin B12 9.97009e-05 g/l p-Aminobenzoic acid 7.97607e-05 g/l ZnCl2 6.97906e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l D-(+)-biotin 1.99402e-05 g/l H3BO3 5.98205e-06 g/l Na2WO4 x 2 H2O 3.98804e-06 g/l Na2SeO3 x 5 H2O 2.99103e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Distilled water

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
711	anaerobe
125439	facultative anaerobe	91.776

Spore formation

@ref	Spore formation	Confidence
125439		98.683

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	acetoin degradation	100	3 of 3
66794	methylglyoxal degradation	100	5 of 5
66794	palmitate biosynthesis	100	22 of 22
66794	coenzyme A metabolism	100	4 of 4
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	glycolate and glyoxylate degradation	100	6 of 6
66794	adipate degradation	100	2 of 2
66794	CMP-KDO biosynthesis	100	4 of 4
66794	1,4-dihydroxy-6-naphthoate biosynthesis	100	6 of 6
66794	sulfopterin metabolism	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	L-lactaldehyde degradation	100	3 of 3
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	cardiolipin biosynthesis	100	7 of 7
66794	ppGpp biosynthesis	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	threonine metabolism	90	9 of 10
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	propanol degradation	85.71	6 of 7
66794	ubiquinone biosynthesis	85.71	6 of 7
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	vitamin B1 metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	vitamin B12 metabolism	82.35	28 of 34
66794	pentose phosphate pathway	81.82	9 of 11
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	propionate fermentation	80	8 of 10
66794	lipoate biosynthesis	80	4 of 5
66794	hydrogen production	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	nitrate assimilation	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	leucine metabolism	76.92	10 of 13
66794	purine metabolism	76.6	72 of 94
66794	alanine metabolism	75.86	22 of 29
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	toluene degradation	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	degradation of aromatic, nitrogen containing compounds	75	9 of 12
66794	glycogen biosynthesis	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	peptidoglycan biosynthesis	73.33	11 of 15
66794	citric acid cycle	71.43	10 of 14
66794	heme metabolism	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	pyrimidine metabolism	68.89	31 of 45
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	flavin biosynthesis	66.67	10 of 15
66794	enterobactin biosynthesis	66.67	2 of 3
66794	IAA biosynthesis	66.67	2 of 3
66794	molybdenum cofactor biosynthesis	66.67	6 of 9
66794	d-mannose degradation	66.67	6 of 9
66794	serine metabolism	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	methane metabolism	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	proline metabolism	63.64	7 of 11
66794	vitamin B6 metabolism	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	sulfate reduction	61.54	8 of 13
66794	lipid metabolism	61.29	19 of 31
66794	glycine betaine biosynthesis	60	3 of 5
66794	cellulose degradation	60	3 of 5
66794	glycogen metabolism	60	3 of 5
66794	starch degradation	60	6 of 10
66794	non-pathway related	57.89	22 of 38
66794	tryptophan metabolism	55.26	21 of 38
66794	arginine metabolism	54.17	13 of 24
66794	methionine metabolism	53.85	14 of 26
66794	polyamine pathway	52.17	12 of 23
66794	histidine metabolism	51.72	15 of 29
66794	lactate fermentation	50	2 of 4
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	gluconeogenesis	50	4 of 8
66794	kanosamine biosynthesis II	50	1 of 2
66794	denitrification	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	pantothenate biosynthesis	50	3 of 6
66794	coenzyme M biosynthesis	50	5 of 10
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	4-hydroxyphenylacetate degradation	50	5 of 10
66794	butanoate fermentation	50	2 of 4
66794	quinate degradation	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	phenylmercury acetate degradation	50	1 of 2
66794	lysine metabolism	50	21 of 42
66794	ethanol fermentation	50	1 of 2
66794	vitamin E metabolism	50	2 of 4
66794	oxidative phosphorylation	49.45	45 of 91
66794	phosphatidylethanolamine bioynthesis	46.15	6 of 13
66794	urea cycle	46.15	6 of 13
66794	tyrosine metabolism	42.86	6 of 14
66794	benzoyl-CoA degradation	42.86	3 of 7
66794	arachidonate biosynthesis	40	2 of 5
66794	factor 420 biosynthesis	40	2 of 5
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	Entner Doudoroff pathway	40	4 of 10
66794	cysteine metabolism	38.89	7 of 18
66794	degradation of hexoses	38.89	7 of 18
66794	ketogluconate metabolism	37.5	3 of 8
66794	ascorbate metabolism	36.36	8 of 22
66794	glutathione metabolism	35.71	5 of 14
66794	bile acid biosynthesis, neutral pathway	35.29	6 of 17
66794	phenol degradation	35	7 of 20
66794	sphingosine metabolism	33.33	2 of 6
66794	methanogenesis from CO2	33.33	4 of 12
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	degradation of pentoses	32.14	9 of 28
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	metabolism of disaccharids	27.27	3 of 11
66794	androgen and estrogen metabolism	25	4 of 16
66794	carnitine metabolism	25	2 of 8
66794	cyclohexanol degradation	25	1 of 4
66794	carotenoid biosynthesis	22.73	5 of 22
66794	arachidonic acid metabolism	22.22	4 of 18
66794	chlorophyll metabolism	22.22	4 of 18

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
711	ditch mud	Konstanz	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence AF418174 (>99% sequence identity) for Desulfarculus baarsii subclade from Microbeatlas

Aquatic Samples	531
Soil Samples	122
Animal Samples	60
Plant Samples	10
Total Samples	723

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
711	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	ASM14396v1 assembly for Desulfarculus baarsii DSM 2075	complete	GCA_000143965	644282.4	648028023	644282	98.12

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	D.baarsi 16S ribosomal rRNA	M34403	1395		644282
711	Desulfoarculus baarsii DSM 2075 16S ribosomal RNA gene, partial sequence	AF418174	1522		644282

GC content

@ref	GC-content (mol%)	Method
711	66	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: ASM14396v1 assembly for Desulfarculus baarsii DSM 2075
BV-BRC: 644282.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	91.78	no
125439	gram_stain	BacteriaNetⓘ	negative	75.51	no
125439	spore_formation	BacteriaNetⓘ	no	98.68	no
125439	motility	BacteriaNetⓘ	yes	55.51	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Desulfarculus baarsii DSM 2075 DSM 2075
NCBI: GCA_000143965.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.00	no
125438	anaerobic	anaerobicⓘ	yes	82.20	yes
125438	aerobic	aerobicⓘ	no	88.48	yes
125438	spore-forming	spore-formingⓘ	no	84.04	no
125438	thermophilic	thermophileⓘ	no	80.15	yes
125438	flagellated	motile2+ⓘ	yes	74.54	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Detection of Sulfate-Reducing Bacteria as an Indicator for Successful Mitigation of Sulfide Production.	Dutta A, Valle F, Goldman T, Keating J, Burke E, Williamson N, Dirmeier R, Bowman JS.	Appl Environ Microbiol	10.1128/aem.01748-21	2021
	Draft Genome Sequence of Desulfocarbo indianensis SCBM, a New Genus of Sulfate-Reducing Bacteria, Isolated from Water Extracted from an Active Coalbed Methane Gas Well.	An TT, Picardal FW.	Genome Announc	10.1128/genomea.00970-15	2015
Genetics	DciA is an ancestral replicative helicase operator essential for bacterial replication initiation.	Brezellec P, Vallet-Gely I, Possoz C, Quevillon-Cheruel S, Ferat JL.	Nat Commun	10.1038/ncomms13271	2016
	Complete Genome Sequence and Comparative Genomics of a Novel Myxobacterium Myxococcus hansupus.	Sharma G, Narwani T, Subramanian S.	PLoS One	10.1371/journal.pone.0148593	2016
Metabolism	Eubacterial SpoVG homologs constitute a new family of site-specific DNA-binding proteins.	Jutras BL, Chenail AM, Rowland CL, Carroll D, Miller MC, Bykowski T, Stevenson B.	PLoS One	10.1371/journal.pone.0066683	2013
Pathogenicity	Complete genome sequence of Syntrophobacter fumaroxidans strain (MPOB(T)).	Plugge CM, Henstra AM, Worm P, Swarts DC, Paulitsch-Fuchs AH, Scholten JC, Lykidis A, Lapidus AL, Goltsman E, Kim E, McDonald E, Rohlin L, Crable BR, Gunsalus RP, Stams AJ, McInerney MJ.	Stand Genomic Sci	10.4056/sigs.2996379	2012
	Cellular assays identify barriers impeding iron-sulfur enzyme activity in a non-native prokaryotic host.	D'Angelo F, Fernandez-Fueyo E, Garcia PS, Shomar H, Pelosse M, Manuel RR, Buke F, Liu S, van den Broek N, Duraffourg N, de Ram C, Pabst M, Bouveret E, Gribaldo S, Py B, Ollagnier de Choudens S, Barras F, Bokinsky G.	Elife	10.7554/elife.70936	2022
Metabolism	Novel m4C modification in type I restriction-modification systems.	Morgan RD, Luyten YA, Johnson SA, Clough EM, Clark TA, Roberts RJ.	Nucleic Acids Res	10.1093/nar/gkw743	2016
Phylogeny	Diversity of hydrolases from hydrothermal vent sediments of the Levante Bay, Vulcano Island (Aeolian archipelago) identified by activity-based metagenomics and biochemical characterization of new esterases and an arabinopyranosidase.	Placido A, Hai T, Ferrer M, Chernikova TN, Distaso M, Armstrong D, Yakunin AF, Toshchakov SV, Yakimov MM, Kublanov IV, Golyshina OV, Pesole G, Ceci LR, Golyshin PN.	Appl Microbiol Biotechnol	10.1007/s00253-015-6873-x	2015
	Eukaryotic opportunists dominate the deep-subsurface biosphere in South Africa.	Borgonie G, Linage-Alvarez B, Ojo AO, Mundle SO, Freese LB, Van Rooyen C, Kuloyo O, Albertyn J, Pohl C, Cason ED, Vermeulen J, Pienaar C, Litthauer D, Van Niekerk H, Van Eeden J, Sherwood Lollar B, Onstott TC, Van Heerden E.	Nat Commun	10.1038/ncomms9952	2015
	Phylogenomics of the Phylum Proteobacteria: Resolving the Complex Relationships.	Sharma V, Vashishtha A, Jos ALM, Khosla A, Basu N, Yadav R, Bhatt A, Gulani A, Singh P, Lakhera S, Verma M.	Curr Microbiol	10.1007/s00284-022-02910-9	2022
Metabolism	Functional identification of bacterial spermine, thermospermine, norspermine, norspermidine, spermidine, and N¹-aminopropylagmatine synthases.	Li B, Liang J, Baniasadi HR, Kurihara S, Phillips MA, Michael AJ.	J Biol Chem	10.1016/j.jbc.2024.107281	2024
	Structural determination and kinetic analysis of the transketolase from Vibrio vulnificus reveal unexpected cooperative behavior.	Georges RN, Ballut L, Octobre G, Comte A, Hecquet L, Charmantray F, Doumeche B.	Protein Sci	10.1002/pro.4884	2024
Phylogeny	Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir.	Gao P, Tian H, Li G, Sun H, Ma T.	Microbiologyopen	10.1002/mbo3.241	2015
Genetics	Metagenomic and Metatranscriptomic Characterization of a Microbial Community That Catalyzes Both Energy-Generating and Energy-Storing Electrode Reactions.	Mickol RL, Eddie BJ, Malanoski AP, Yates MD, Tender LM, Glaven SM.	Appl Environ Microbiol	10.1128/aem.01676-21	2021
	Microbial Communities of Orange Tubercles in Accelerated Low-Water Corrosion.	Phan HC, Wade SA, Blackall LL.	Appl Environ Microbiol	10.1128/aem.00610-20	2020
	Structural Conservation and Diversity of PilZ-Related Domains.	Galperin MY, Chou SH.	J Bacteriol	10.1128/jb.00664-19	2020
Metabolism	Unravelling the carbon and sulphur metabolism in coastal soil ecosystems using comparative cultivation-independent genome-level characterisation of microbial communities.	Yousuf B, Kumar R, Mishra A, Jha B.	PLoS One	10.1371/journal.pone.0107025	2014
	Anaerobic degradation of hexadecane and phenanthrene coupled to sulfate reduction by enriched consortia from northern Gulf of Mexico seafloor sediment.	Shin B, Kim M, Zengler K, Chin KJ, Overholt WA, Gieg LM, Konstantinidis KT, Kostka JE.	Sci Rep	10.1038/s41598-018-36567-x	2019
Metabolism	Diversity of sulfur isotope fractionations by sulfate-reducing prokaryotes.	Detmers J, Bruchert V, Habicht KS, Kuever J.	Appl Environ Microbiol	10.1128/aem.67.2.888-894.2001	2001
	Genome analysis of Desulfotomaculum gibsoniae strain Groll(T) a highly versatile Gram-positive sulfate-reducing bacterium.	Kuever J, Visser M, Loeffler C, Boll M, Worm P, Sousa DZ, Plugge CM, Schaap PJ, Muyzer G, Pereira IA, Parshina SN, Goodwin LA, Kyrpides NC, Detter J, Woyke T, Chain P, Davenport KW, Rohde M, Spring S, Klenk HP, Stams AJ.	Stand Genomic Sci	10.4056/sigs.5209235	2014
Enzymology	Localizing transcripts to single cells suggests an important role of uncultured deltaproteobacteria in the termite gut hydrogen economy.	Rosenthal AZ, Zhang X, Lucey KS, Ottesen EA, Trivedi V, Choi HM, Pierce NA, Leadbetter JR.	Proc Natl Acad Sci U S A	10.1073/pnas.1307876110	2013
	Genome analyses of the carboxydotrophic sulfate-reducers Desulfotomaculum nigrificans and Desulfotomaculum carboxydivorans and reclassification of Desulfotomaculum caboxydivorans as a later synonym of Desulfotomaculum nigrificans.	Visser M, Parshina SN, Alves JI, Sousa DZ, Pereira IA, Muyzer G, Kuever J, Lebedinsky AV, Koehorst JJ, Worm P, Plugge CM, Schaap PJ, Goodwin LA, Lapidus A, Kyrpides NC, Detter JC, Woyke T, Chain P, Davenport KW, Spring S, Rohde M, Klenk HP, Stams AJ.	Stand Genomic Sci	10.4056/sigs.4718645	2014
Metabolism	The class III ribonucleotide reductase from Neisseria bacilliformis can utilize thioredoxin as a reductant.	Wei Y, Funk MA, Rosado LA, Baek J, Drennan CL, Stubbe J.	Proc Natl Acad Sci U S A	10.1073/pnas.1414396111	2014
Genetics	Multiple single-cell genomes provide insight into functions of uncultured Deltaproteobacteria in the human oral cavity.	Campbell AG, Campbell JH, Schwientek P, Woyke T, Sczyrba A, Allman S, Beall CJ, Griffen A, Leys E, Podar M.	PLoS One	10.1371/journal.pone.0059361	2013
Metabolism	Molecular analysis of the diversity of sulfate-reducing and sulfur-oxidizing prokaryotes in the environment, using aprA as functional marker gene.	Meyer B, Kuever J.	Appl Environ Microbiol	10.1128/aem.01272-07	2007
Genetics	Complete genome sequence of Desulfarculus baarsii type strain (2st14).	Sun H, Spring S, Lapidus A, Davenport K, Del Rio TG, Tice H, Nolan M, Copeland A, Cheng JF, Lucas S, Tapia R, Goodwin L, Pitluck S, Ivanova N, Pagani I, Mavromatis K, Ovchinnikova G, Pati A, Chen A, Palaniappan K, Hauser L, Chang YJ, Jeffries CD, Detter JC, Han C, Rohde M, Brambilla E, Goker M, Woyke T, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP, Land M	Stand Genomic Sci	10.4056/sigs.1243258	2010
	Desulfoferula mesophilus gen. nov. sp. nov., a mesophilic sulfate-reducing bacterium isolated from a brackish lake sediment.	Watanabe T, Yabe T, Tsuji JM, Fukui M.	Arch Microbiol	10.1007/s00203-023-03711-9	2023
Phylogeny	Dethiosulfatarculus sandiegensis gen. nov., sp. nov., isolated from a methanogenic paraffin-degrading enrichment culture and emended description of the family Desulfarculaceae.	Davidova IA, Wawrik B, Callaghan AV, Duncan K, Marks CR, Suflita JM	Int J Syst Evol Microbiol	10.1099/ijsem.0.000864	2015
Phylogeny	Desulfocarbo indianensis gen. nov., sp. nov., a benzoate-oxidizing, sulfate-reducing bacterium isolated from water extracted from a coal bed.	An TT, Picardal FW	Int J Syst Evol Microbiol	10.1099/ijs.0.064873-0	2014

References

#711	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 2075
#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) .
#66793	Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 )
#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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Desulfarculus baarsii (DSM 2075, ATCC 33931, Konstanz)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000143965

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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