Ancylobacter aquaticus (DSM 101, ATCC 25396, CCM 1786)

Name: Ancylobacter aquaticus (DSM 101, ATCC 25396, CCM 1786)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17385

Type strain

Culture col. no. DSM 101 ATCC 25396 CCM 1786 NCIB 9271 CCUG 30551 10 more

NCBI tax ID(s) 100

Special Collections DSMZ CCUG JCM

History DSMZ <- J. Orskov JCM <-- IAM 12364 <-- ATCC 25396 <-- H. D. Raj Mc-2 <-- D. Claus, Ørskov strain <-- J. Ørskov.

Links

Ancylobacter aquaticus DSM 101 is a bacterium that was isolated from lake water.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 889

LMG 8809,ATCC 25396,CCM 1786,DSM 101,IAM 12364,LMG 4052,NCIMB 9271,NCMB 1801,CCUG 30551,CCUG 1820,NCIB 9271,VKM B-1287,CECT 4166,NCIMB 1801,JCM 6888,NCIM 2119,BCRC 17425,CCRC 17425,NBRC 102453,JCM 20518,CGMCC 1.2804

@ref 20215

Last LPSN update 2026-05-29 08:29:00

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Xanthobacteraceae

Genus Ancylobacter

Species Ancylobacter aquaticus

Full scientific name Ancylobacter aquaticus (Ørskov 1928) Raj 1983

Synonyms (1)

Microcyclus aquaticus

BacDive ID	Other strains from **Ancylobacter aquaticus** (4)	Type strain
17382	A. aquaticus M, DSM 334, ATCC 27068, JCM 20515, CCM 2549, ...
17384	A. aquaticus B, DSM 2454, ATCC 27069, JCM 20517, CCM 2548, ...
17390	A. aquaticus H, DSM 2455
17391	A. aquaticus W, DSM 2456

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	91.643
125438	negative	98

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
2077	ANCYLOBACTER - SPIROSOMA MEDIUM (DSMZ Medium 7)		Medium recipe at MediaDive	Name: ANCYLOBACTER - SPIROSOMA MEDIUM (DSMZ Medium 7) Composition: Agar 15.0 g/l Yeast extract 1.0 g/l Peptone 1.0 g/l Glucose 1.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
2077	positive	growth	26
67770	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.257

Spore formation

@ref	Spore formation	Confidence
125439		98.611

Fatty acid profile

Metadata FA analysis

@ref

50142

Fatty acid	Percentage	ECL
C18:1 ω7c /12t/9t	81.6	17.824
C19:0 CYCLO ω8c	18.4	18.9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Lake (large)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
2077	lake water	Copenhagen	Denmark	DNK	Europe
50142	Lake water		Denmark	DNK	Europe
67770	Lake water	Copenhagen	Denmark	DNK	Europe

Taxonmaps

69479

Global distribution of 16S sequence AB681795 (>99% sequence identity) for Ancylobacter from Microbeatlas

Aquatic Samples	2318
Soil Samples	1085
Animal Samples	1936
Plant Samples	762
Total Samples	6101

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2077	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
67770	ASM433946v1 assembly for Ancylobacter aquaticus DSM 101	contig	GCA_004339465	100.11	2795386139	100	75.11

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Ancylobacter aquaticus strain ATCC 25396 16S ribosomal RNA gene, partial sequence	M62790	1433		100
20218	Ancylobacter aquaticus gene for 16S rRNA, partial sequence, strain: NBRC 102453	AB681795	1408		100

GC content

@ref	GC-content (mol%)	Method
2077	67.3
67770	67.3	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: ASM433946v1 assembly for Ancylobacter aquaticus DSM 101
NCBI: GCA_004339465

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.26	no
125439	gram_stain	BacteriaNetⓘ	negative	91.64	no
125439	motility	BacteriaNetⓘ	yes	47.46	no
125439	spore_formation	BacteriaNetⓘ	no	98.61	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Ancylobacter aquaticus strain DSM 101
PATRIC: 100.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	97.18	no
125438	spore-forming	spore-formingⓘ	no	88.07	no
125438	aerobic	aerobicⓘ	yes	84.30	no
125438	thermophilic	thermophileⓘ	no	98.97	yes
125438	flagellated	motile2+ⓘ	no	60.24	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Single-cell enumeration of an uncultivated TM7 subgroup in the human subgingival crevice.	Ouverney CC, Armitage GC, Relman DA.	Appl Environ Microbiol	10.1128/aem.69.10.6294-6298.2003	2003
	Compilation of small ribosomal subunit RNA structures.	Neefs JM, Van de Peer Y, De Rijk P, Chapelle S, De Wachter R.	Nucleic Acids Res	10.1093/nar/21.13.3025	1993
	Copper and iron metal resistant rhizospheric bacteria boost the plant growth and bacoside A content in Bacopa monnieri under stress conditions.	Kushwaha RK, Joshi SM, Bajaj R, Mastan A, Kumar V, Patel H, Jayashree S, Chaudhary SP.	Funct Plant Biol	10.1071/fp22263	2023
Enzymology	Effect of Metal Ions on the Activity of Ten NAD-Dependent Formate Dehydrogenases.	Bulut H, Valjakka J, Yuksel B, Yilmazer B, Turunen O, Binay B.	Protein J	10.1007/s10930-020-09924-x	2020
Enzymology	[Synthesis of L-2-aminobutyric acid by leucine dehydrogenase coupling with an NADH regeneration system].	Zhang L, Xiao Y, Yang W, Hua C, Wang Y, Li J, Yang T.	Sheng Wu Gong Cheng Xue Bao	10.13345/j.cjb.190327	2020
Enzymology	Chloroacetaldehyde dehydrogenase from Ancylobacter aquaticus UV5: Cloning, expression, characterization and molecular modeling.	Kumar A, Khan FI, Olaniran AO.	Int J Biol Macromol	10.1016/j.ijbiomac.2018.03.176	2018
Enzymology	Non-ureolytic EICP as a novel enzymatic pathway for sustainable soil stabilization.	Deylaghian S, Nikooee E, Seyedi A, Niazi A, Nagel T.	Sci Rep	10.1038/s41598-025-13525-y	2025
	1,2-DCA biodegradation potential of an aquifer assessed in situ and in aerobic and anaerobic microcosms.	Cruciata I, Scire Calabrisotto L, Carpani G, Poppa L, Modica A, Pace A, Catania V, Quatrini P.	Environ Microbiome	10.1186/s40793-024-00650-w	2024
	Dual Carbon-Bromine Stable Isotope Analysis Allows Distinguishing Transformation Pathways of Ethylene Dibromide.	Kuntze K, Kozell A, Richnow HH, Halicz L, Nijenhuis I, Gelman F.	Environ Sci Technol	10.1021/acs.est.6b01692	2016
	PFGE and RAPD profiling differentiates closely related isolates of Ancylobacter aquaticus	Govender A, Shaik R, Pillay B.	World J Microbiol Biotechnol	10.1007/s11274-010-0570-9	2011
Enzymology	Indigenous bacteria as an alternative for promoting recycled paper and cardboard mill wastewater treatment.	Gholami M, Ghaneian MT, Teimouri F, Ehrampoush MH, Nadoushan AJ, Jambarsang S, Mahvi AH.	Sci Rep	10.1038/s41598-022-21362-6	2022
Metabolism	Aerobic and Anaerobic Biodegradation of 1,2-Dibromoethane by a Microbial Consortium under Simulated Groundwater Conditions.	Wang Q, Yang M, Song X, Tang S, Yu L.	Int J Environ Res Public Health	10.3390/ijerph16193775	2019
Metabolism	The effects of cyanobacterial exudates on bacterial growth and biodegradation of organic contaminants.	Kirkwood AE, Nalewajko C, Fulthorpe RR.	Microb Ecol	10.1007/s00248-004-0058-y	2006
	Unraveling the mechanism of sulfur nutrition in pigeonpea inoculated with sulfur-oxidizing bacteria.	Malviya D, Varma A, Singh UB, Singh S, Saxena AK.	Front Microbiol	10.3389/fmicb.2022.927702	2022
	[Transgenic bioinsecticides inimical to parasites, but imical to environment].	Kucinska J, Lonc E, Rydzanicz K.	Wiad Parazytol		2003
Metabolism	Gradients in microbial methanol uptake: productive coastal upwelling waters to oligotrophic gyres in the Atlantic Ocean.	Dixon JL, Sargeant S, Nightingale PD, Colin Murrell J.	ISME J	10.1038/ismej.2012.130	2013
Metabolism	Sulfur oxidation in rice field soil: activity, enumeration, isolation and characterization of thiosulfate-oxidizing bacteria.	Stubner S, Wind T, Conrad R.	Syst Appl Microbiol	10.1016/s0723-2020(98)80069-6	1998
Metabolism	Characterization of sulfur oxidizing bacteria related to biogenic sulfuric acid corrosion in sludge digesters.	Huber B, Herzog B, Drewes JE, Koch K, Muller E.	BMC Microbiol	10.1186/s12866-016-0767-7	2016
Enzymology	Characterization of bacteria isolated from a bleached kraft pulp mill wastewater treatment system.	Fulthorpe RR, Liss SN, Allen DG.	Can J Microbiol	10.1139/m93-003	1993
	Expression of mosquitocidal toxin genes in a gas-vacuolated strain of Ancylobacter aquaticus.	Yap WH, Thanabalu T, Porter AG.	Appl Environ Microbiol	10.1128/aem.60.11.4199-4202.1994	1994
	Complete genome sequence of the facultatively chemolithoautotrophic and methylotrophic alpha Proteobacterium Starkeya novella type strain (ATCC 8093(T)).	Kappler U, Davenport K, Beatson S, Lucas S, Lapidus A, Copeland A, Berry KW, Glavina Del Rio T, Hammon N, Dalin E, Tice H, Pitluck S, Richardson P, Bruce D, Goodwin LA, Han C, Tapia R, Detter JC, Chang YJ, Jeffries CD, Land M, Hauser L, Kyrpides NC, Goker M, Ivanova N, Klenk HP, Woyke T.	Stand Genomic Sci	10.4056/sigs.3006378	2012
Metabolism	Microbial degradation of isosaccharinic acid at high pH.	Bassil NM, Bryan N, Lloyd JR.	ISME J	10.1038/ismej.2014.125	2015
	Degradation of 2-Chloroethylvinylether by Ancylobacter aquaticus AD25 and AD27.	van den Wijngaard AJ, Prins J, Smal AJ, Janssen DB.	Appl Environ Microbiol	10.1128/aem.59.9.2777-2783.1993	1993
	Variability of the turgor pressure of individual cells of the gram-negative heterotroph Ancylobacter aquaticus.	Pinette MF, Koch AL.	J Bacteriol	10.1128/jb.169.10.4737-4742.1987	1987
Metabolism	Degradation of 1,2-dichloroethane by Ancylobacter aquaticus and other facultative methylotrophs.	van den Wijngaard AJ, van der Kamp KW, van der Ploeg J, Pries F, Kazemier B, Janssen DB.	Appl Environ Microbiol	10.1128/aem.58.3.976-983.1992	1992
	Ingestibility, digestibility, and engineered biological control potential of Flavobacterium hibernum, isolated from larval mosquito habitats.	Chen S, Kaufman MG, Korir ML, Walker ED.	Appl Environ Microbiol	10.1128/aem.03319-13	2014
Pathogenicity	Turgor pressure responses of a gram-negative bacterium to antibiotic treatment, measured by collapse of gas vesicles.	Pinette MF, Koch AL.	J Bacteriol	10.1128/jb.170.3.1129-1136.1988	1988
Metabolism	Degradation of 1,2-dibromoethane by Mycobacterium sp. strain GP1.	Poelarends GJ, van Hylckama Vlieg JE, Marchesi JR, Freitas Dos Santos LM, Janssen DB.	J Bacteriol	10.1128/jb.181.7.2050-2058.1999	1999
Pathogenicity	Autolysis control hypotheses for tolerance to wall antibiotics.	Koch AL.	Antimicrob Agents Chemother	10.1128/aac.45.10.2671-2675.2001	2001
	Nephelometric determination of turgor pressure in growing gram-negative bacteria.	Koch AL, Pinette MF.	J Bacteriol	10.1128/jb.169.8.3654-3663.1987	1987
Pathogenicity	Biocontrol of the sugarcane borer Eldana saccharina by expression of the Bacillus thuringiensis cry1Ac7 and Serratia marcescens chiA genes in sugarcane-associated bacteria.	Downing KJ, Leslie G, Thomson JA.	Appl Environ Microbiol	10.1128/aem.66.7.2804-2810.2000	2000
Metabolism	Effects of bacterial host and dichloromethane dehalogenase on the competitiveness of methylotrophic bacteria growing with dichloromethane.	Gisi D, Willi L, Traber H, Leisinger T, Vuilleumier S.	Appl Environ Microbiol	10.1128/aem.64.4.1194-1202.1998	1998
Genetics	Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria.	Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M.	Front Microbiol	10.3389/fmicb.2020.00468	2020
Metabolism	Osmosensing by bacteria: signals and membrane-based sensors.	Wood JM.	Microbiol Mol Biol Rev	10.1128/mmbr.63.1.230-262.1999	1999
Phylogeny	The methanol dehydrogenase gene, mxaF, as a functional and phylogenetic marker for proteobacterial methanotrophs in natural environments.	Lau E, Fisher MC, Steudler PA, Cavanaugh CM.	PLoS One	10.1371/journal.pone.0056993	2013
Phylogeny	Ancylobacter rudongensis sp. nov., isolated from roots of Spartina anglica.	Xin YH, Zhou YG, Zhou HL, Chen WX.	Int J Syst Evol Microbiol	10.1099/ijs.0.02466-0	2004
Phylogeny	Starkeya koreensis sp. nov., isolated from rice straw.	Im WT, Aslam Z, Lee M, Ten LN, Yang DC, Lee ST	Int J Syst Evol Microbiol	10.1099/ijs.0.64093-0	2006
Phylogeny	Ancylobacter polymorphus sp. nov. and Ancylobacter vacuolatus sp. nov.	Xin YH, Zhou YG, Chen WX	Int J Syst Evol Microbiol	10.1099/ijs.0.64118-0	2006
Phylogeny	Ancylobacter gelatini sp. nov., isolated from beach sediment of Zhairuo Island, China.	Wang P, Sheng H, Zheng K, Hong Y, Debnath SC, Yan C, Li K, Chen G, Xu J, Wu F, Guo Z, Zheng D	Arch Microbiol	10.1007/s00203-022-03048-9	2022

References

#2077	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 101
#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 )
#50142	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 30551
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Ancylobacter aquaticus (DSM 101, ATCC 25396, CCM 1786)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Fatty acid profile

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_004339465

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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