Cronobacter universalis (DSM 27963, CECT 7864, LMG 26249)

Name: Cronobacter universalis (DSM 27963, CECT 7864, LMG 26249)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23991

Type strain

Culture col. no. DSM 27963 CECT 7864 LMG 26249 NCTC 9529

NCBI tax ID(s) 1074000 535744

Special Collections DSMZ Literature strains

History <- LMG <- M. J. Figueras, Rovira i Virgili University, Reus, Spain <- S. Forsythe, Nottingham Trent University, UK <- NCTC <- N. Burman, London

Links

Cronobacter universalis DSM 27963 is a Gram-negative, rod-shaped bacterium that was isolated from fresh water.

Gram-negative rod-shaped genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 116336

NCTC 9529,LMG 26249,CECT 7864,DSM 27963,CCUG 76580T

@ref 20215

Last LPSN update 2026-02-09 11:23:51

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Enterobacteriaceae

Genus Cronobacter

Species Cronobacter universalis

Full scientific name Cronobacter universalis Joseph et al. 2012

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
30278	negative	rod-shaped
125439	negative		99.8
125438	negative		99.5

Pigmentation

30278

Productionyes

Multimedia

@ref:	21154
multimedia content:	DSM_27963.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_27963.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
21154	TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535)		Medium recipe at MediaDive	Name: TRYPTICASE SOY BROTH AGAR (DSMZ Medium 535) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
21154	positive	growth	37
30278	positive	optimum	37

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
30278
125439		98.2

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68368	27613 ChEBI	amygdalin	+	fermentation	from API 20E
68368	29016 ChEBI	arginine	+	hydrolysis	from API 20E
30278	16947 ChEBI	citrate	+	carbon source
68368	16947 ChEBI	citrate	+	assimilation	from API 20E
68368	17634 ChEBI	D-glucose	+	fermentation	from API 20E
68368	5291 ChEBI	gelatin	+	hydrolysis	from API 20E
68368	30849 ChEBI	L-arabinose	+	fermentation	from API 20E
68368	62345 ChEBI	L-rhamnose	+	fermentation	from API 20E
68368	25094 ChEBI	lysine	-	degradation	from API 20E
30278	15792 ChEBI	malonate	+	carbon source
68368	28053 ChEBI	melibiose	+	fermentation	from API 20E
68368	17268 ChEBI	myo-inositol	+	fermentation	from API 20E
30278	17632 ChEBI	nitrate	+	reduction
68368	17632 ChEBI	nitrate	+	reduction	from API 20E
30278	18257 ChEBI	ornithine	+	carbon source
68368	18257 ChEBI	ornithine	-	degradation	from API 20E
68368	30911 ChEBI	sorbitol	-	fermentation	from API 20E
68368	27897 ChEBI	tryptophan	-	energy source	from API 20E
68368	16199 ChEBI	urea	-	hydrolysis	from API 20E

Metabolite production

@ref	Chebi-ID	Metabolite
68368	15688 ChEBI	acetoin	from API 20E
68368	17997 ChEBI	dinitrogen	from API 20E
68368	16136 ChEBI	hydrogen sulfide	from API 20E
68368	35581 ChEBI	indole	from API 20E
68368	16301 ChEBI	nitrite	from API 20E

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test	Indole test
68368	15688 ChEBI	acetoin	+		from API 20E
68368	35581 ChEBI	indole		-	from API 20E

Enzymes

@ref	Value	Activity	Ec
68368	arginine dihydrolase	+	3.5.3.6	from API 20E
68368	beta-galactosidase	+	3.2.1.23	from API 20E
30278	catalase	+	1.11.1.6
68368	cytochrome oxidase	-	1.9.3.1	from API 20E
68368	gelatinase	+		from API 20E
68368	lysine decarboxylase	-	4.1.1.18	from API 20E
68368	ornithine decarboxylase	-	4.1.1.17	from API 20E
68368	tryptophan deaminase	-	4.1.99.1	from API 20E
68368	urease	-	3.5.1.5	from API 20E

API 20E

@ref	ONPG	ADH (Arg)	LDC (Lys)	ODC	CIT	H2S productionH2S	URE	TDA (Trp)	IND	Acetoin production (Voges Proskauer test)VP	GEL	GLU	MAN	INO	Sor	RHA	SAC	MEL	AMY	ARA	OX	Nitrite productionNO2	Reduction to N2N2	MotilityMOB	Growth on MacConkey mediumMAC	OF-O	OF-F
21154	+	+	-	-	+	-	-	-	-	+	+	+	+	+	-	+	+	+	+	+	-	+	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.
21154	+	+	-	-	+	-	-	-	-	+	+	+	+	+	-	+	-	+	+	+	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.
21154	+	+	-	-	+	-	-	-	-	+	+	+	-	+	-	+	-	+	+	+	-	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.	not determinedn.d.

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Freshwater

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
21154	fresh water	United Kingdom	GBR	Europe

Taxonmaps

69479

Global distribution of 16S sequence EF059877 (>99% sequence identity) for Cronobacter from Microbeatlas

Aquatic Samples	2553
Soil Samples	1166
Animal Samples	20787
Plant Samples	2029
Total Samples	26535

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
21154	yes, in single cases	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM127717v1 assembly for Cronobacter universalis NCTC 9529	complete	GCA_001277175		2811995043	1074000	98.12
66792	37419_E02 assembly for Cronobacter universalis NCTC 9529	contig	GCA_900447325	1074000.9		1074000	77.91
66792	Cuni9529 final contigs assembly for Cronobacter universalis NCTC 9529	contig	GCA_000409325	1074000.4	2548876992	1074000	71.02
66792	ASM31932v1 assembly for Cronobacter universalis NCTC 9529	scaffold	GCA_000319325	1074000.3	2534681665	1074000

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
21154	Cronobacter universalis NCTC 9529 strain E797 16S ribosomal RNA gene, partial sequence	EF059877	1425		1074000
124043	Cronobacter universalis NCTC 9529 16S ribosomal RNA gene, partial sequence.	MF118669	1345		1074000

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Cronobacter universalis NCTC 9529
NCBI: GCA_001277175

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	89.70	no
125439	gram_stain	BacteriaNetⓘ	negative	99.80	no
125439	motility	BacteriaNetⓘ	yes	74.50	no
125439	spore_formation	BacteriaNetⓘ	no	98.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cronobacter universalis NCTC 9529 NCTC 9529
NCBI: GCA_001277175.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	yes
125438	anaerobic	anaerobicⓘ	no	96.30	no
125438	aerobic	aerobicⓘ	no	64.61	no
125438	spore-forming	spore-formingⓘ	no	89.30	yes
125438	thermophilic	thermophileⓘ	no	100.00	yes
125438	flagellated	motile2+ⓘ	yes	77.17	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Comparative Analysis of Mesophilic YqfB-Type Amidohydrolases.	Statkeviciute R, Sadauskas M, Rainyte J, Kavaliauskaite K, Meskys R.	Biomolecules	10.3390/biom12101492	2022
Enzymology	Immunogold Nanoparticles for Rapid Plasmonic Detection of C. sakazakii.	Aly MA, Domig KJ, Kneifel W, Reimhult E.	Sensors (Basel)	10.3390/s18072028	2018
	Detection of Cronobacter Genus in Powdered Infant Formula by Enzyme-linked Immunosorbent Assay Using Anti-Cronobacter Antibody.	Song X, Shukla S, Lee G, Park S, Kim M.	Front Microbiol	10.3389/fmicb.2016.01124	2016
	Sampling informational properties of codon usage through the tree of life.	Martinez O, Reyes-Valdes MH, Ochoa-Alejo N.	PLoS One	10.1371/journal.pone.0335824	2025
	Detection of Genus and Three Important Species of Cronobacter Using Novel Genus- and Species-Specific Genes Identified by Large-Scale Comparative Genomic Analysis.	Wang L, Wu P, Su Y, Wei Y, Guo X, Yang L, Wang M, Liu B.	Front Microbiol	10.3389/fmicb.2022.885543	2022
Genetics	Cronobacter spp. in Commercial Powdered Infant Formula Collected From Nine Provinces in China: Prevalence, Genotype, Biofilm Formation, and Antibiotic Susceptibility.	Fei P, Jing H, Ma Y, Dong G, Chang Y, Meng Z, Jiang S, Xie Q, Li S, Chen X, Yang W.	Front Microbiol	10.3389/fmicb.2022.900690	2022
	An Evaluation of the Sensitivity and Applicability of a Droplet Digital Polymerase Chain Reaction Assay to Simultaneously Detect Pseudomonas aeruginosa and Pseudomonas fragi in Foods.	Huang J, Zhai L, Wang J, Sun X, Wang B, Wei Z.	Foods	10.3390/foods13101453	2024
Biotechnology	Characterization of Cronobacter spp. isolated from food of plant origin and environmental samples collected from farms and from supermarkets in the Czech Republic.	Vojkovska H, Karpiskova R, Orieskova M, Drahovska H.	Int J Food Microbiol	10.1016/j.ijfoodmicro.2015.10.017	2016
	Multilocus sequence typing of Cronobacter spp. from powdered infant formula and milk powder production factories	Sonbol H, Joseph S, McAuley CM, Craven HM, Forsythe SJ.	Int Dairy J	10.1016/j.idairyj.2012.11.004	2013
	Cronobacter spp.--opportunistic food-borne pathogens. A review of their virulence and environmental-adaptive traits.	Jaradat ZW, Al Mousa W, Elbetieha A, Al Nabulsi A, Tall BD.	J Med Microbiol	10.1099/jmm.0.073742-0	2014
Biotechnology	Comparison of methods for the microbiological identification and profiling of Cronobacter species from ingredients used in the preparation of infant formula.	Cetinkaya E, Joseph S, Ayhan K, Forsythe SJ.	Mol Cell Probes	10.1016/j.mcp.2012.10.003	2013
	Foodborne pathogens in Africa: Understanding Cronobacter sakazakii.	Mazi IM, Onyeaka H, Nnaji ND.	Public Health Chall	10.1002/puh2.53	2023
Genetics	Analysis of the Molecular Diversity Among Cronobacter Species Isolated From Filth Flies Using Targeted PCR, Pan Genomic DNA Microarray, and Whole Genome Sequencing Analyses.	Jang H, Chase HR, Gangiredla J, Grim CJ, Patel IR, Kothary MH, Jackson SA, Mammel MK, Carter L, Negrete F, Finkelstein S, Weinstein L, Yan Q, Iversen C, Pagotto F, Stephan R, Lehner A, Eshwar AK, Fanning S, Farber J, Gopinath GR, Tall BD, Pava-Ripoll M.	Front Microbiol	10.3389/fmicb.2020.561204	2020
	Quantitative Detection of Viable but Nonculturable Cronobacter sakazakii Using Photosensitive Nucleic Acid Dye PMA Combined with Isothermal Amplification LAMP in Raw Milk.	Hu L, Zhang S, Xue Y, Zhang Y, Zhang W, Wang S.	Foods	10.3390/foods11172653	2022
	Prevalence, characterization, and antibiotic susceptibility of Cronobacter spp. in a milk powder processing environment: The first reported case in Serbia.	Csorba C, Pajic M, Blagojevic B, Forsythe S, Radinovic M, Velebit B.	Food Sci Nutr	10.1002/fsn3.2681	2022
Phylogeny	Genomic Analysis of Putative Virulence Factors Affecting Cytotoxicity of Cronobacter.	Cui J, Hu J, Du X, Yan C, Xue G, Li S, Cui Z, Huang H, Yuan J.	Front Microbiol	10.3389/fmicb.2019.03104	2019
Genetics	Characterization of Cronobacter sakazakii Strains Originating from Plant-Origin Foods Using Comparative Genomic Analyses and Zebrafish Infectivity Studies.	Jang H, Eshwar A, Lehner A, Gangiredla J, Patel IR, Beaubrun JJ, Chase HR, Negrete F, Finkelstein S, Weinstein LM, Ko K, Addy N, Ewing L, Woo J, Lee Y, Seo K, Jaradat Z, Srikumar S, Fanning S, Stephan R, Tall BD, Gopinath GR.	Microorganisms	10.3390/microorganisms10071396	2022
	Comparative Proteomic Analysis of Adhesion/Invasion Related Proteins in Cronobacter sakazakii Based on Data-Independent Acquisition Coupled With LC-MS/MS.	Li P, Dong X, Wang XY, Du T, Du XJ, Wang S.	Front Microbiol	10.3389/fmicb.2020.01239	2020
	Prevalence, Molecular Characterization, and Antibiotic Susceptibility of Cronobacter sakazakii Isolates from Powdered Infant Formula Collected from Chinese Retail Markets.	Fei P, Jiang Y, Jiang Y, Yuan X, Yang T, Chen J, Wang Z, Kang H, Forsythe SJ.	Front Microbiol	10.3389/fmicb.2017.02026	2017
Genetics	Pan-genome analysis of the emerging foodborne pathogen Cronobacter spp. suggests a species-level bidirectional divergence driven by niche adaptation.	Grim CJ, Kotewicz ML, Power KA, Gopinath G, Franco AA, Jarvis KG, Yan QQ, Jackson SA, Sathyamoorthy V, Hu L, Pagotto F, Iversen C, Lehner A, Stephan R, Fanning S, Tall BD.	BMC Genomics	10.1186/1471-2164-14-366	2013
	Antibiotic and Desiccation Resistance of Cronobacter sakazakii and C. malonaticus Isolates from Powdered Infant Formula and Processing Environments.	Fei P, Jiang Y, Feng J, Forsythe SJ, Li R, Zhou Y, Man C.	Front Microbiol	10.3389/fmicb.2017.00316	2017
Biotechnology	Occurrence and Characterization of Cronobacter spp. in Dehydrated Rice Powder from Chinese Supermarket.	Huang Y, Pang Y, Wang H, Tang Z, Zhou Y, Zhang W, Li X, Tan D, Li J, Lin Y, Liu X, Huang W, Shi Y.	PLoS One	10.1371/journal.pone.0131053	2015
	Development of a Custom-Designed, Pan Genomic DNA Microarray to Characterize Strain-Level Diversity among Cronobacter spp.	Tall BD, Gangiredla J, Gopinath GR, Yan Q, Chase HR, Lee B, Hwang S, Trach L, Park E, Yoo Y, Chung T, Jackson SA, Patel IR, Sathyamoorthy V, Pava-Ripoll M, Kotewicz ML, Carter L, Iversen C, Pagotto F, Stephan R, Lehner A, Fanning S, Grim CJ.	Front Pediatr	10.3389/fped.2015.00036	2015
Phylogeny	Prevalence, Distribution, and Phylogeny of Type Two Toxin-Antitoxin Genes Possessed by Cronobacter Species where C. sakazakii Homologs Follow Sequence Type Lineages.	Finkelstein S, Negrete F, Jang H, Gangiredla J, Mammel M, Patel IR, Chase HR, Woo J, Lee Y, Wang CZ, Weinstein L, Tall BD, Gopinath GR.	Microorganisms	10.3390/microorganisms7110554	2019
Proteome	Chemotaxis and Shorter O-Antigen Chain Length Contribute to the Strong Desiccation Tolerance of a Food-Isolated Cronobacter sakazakii Strain.	Qian C, Huang M, Du Y, Song J, Mu H, Wei Y, Zhang S, Yin Z, Yuan C, Liu B, Liu B.	Front Microbiol	10.3389/fmicb.2021.779538	2021
	Characterization of the Desiccation Tolerance of Cronobacter sakazakii Strains.	Du XJ, Wang XY, Dong X, Li P, Wang S.	Front Microbiol	10.3389/fmicb.2018.02867	2018
Genetics	Pan-genome diversification and recombination in Cronobacter sakazakii, an opportunistic pathogen in neonates, and insights to its xerotolerant lifestyle.	Lee IPA, Andam CP.	BMC Microbiol	10.1186/s12866-019-1664-7	2019
	Use of a Pan-Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology.	Tall BD, Gangiredla J, Grim CJ, Patel IR, Jackson SA, Mammel MK, Kothary MH, Sathyamoorthy V, Carter L, Fanning S, Iversen C, Pagotto F, Stephan R, Lehner A, Farber J, Yan QQ, Gopinath GR.	Microarrays (Basel)	10.3390/microarrays6010006	2017
Genetics	Reconstituting the History of Cronobacter Evolution Driven by Differentiated CRISPR Activity.	Zeng H, Zhang J, Wu Q, He W, Wu H, Ye Y, Li C, Ling N, Chen M, Wang J, Cai S, Lei T, Ding Y, Xue L.	Appl Environ Microbiol	10.1128/aem.00267-18	2018
	Comparative Outer Membrane Protein Analysis of High and Low-Invasive Strains of Cronobacter malonaticus.	Aldubyan MA, Almami IS, Benslimane FM, Alsonosi AM, Forsythe SJ.	Front Microbiol	10.3389/fmicb.2017.02268	2017
	Natural Compounds With Antibacterial Activity Against Cronobacter spp. in Powdered Infant Formula: A Review.	Polat Yemis G, Delaquis P.	Front Nutr	10.3389/fnut.2020.595964	2020
	Analysis of the role of the Cronobacter sakazakii ProP homologues in osmotolerance.	Feeney A, Johnston CD, Govender R, O'Mahony J, Coffey A, Sleator RD.	Gut Pathog	10.1186/1757-4749-6-15	2014
	Screening of genes involved in interactions with intestinal epithelial cells in Cronobacter sakazakii.	Du XJ, Zhang X, Li P, Xue R, Wang S.	AMB Express	10.1186/s13568-016-0246-4	2016
	The Secretion of Toxins and Other Exoproteins of Cronobacter: Role in Virulence, Adaption, and Persistence.	Jang H, Gopinath GR, Eshwar A, Srikumar S, Nguyen S, Gangiredla J, Patel IR, Finkelstein SB, Negrete F, Woo J, Lee Y, Fanning S, Stephan R, Tall BD, Lehner A.	Microorganisms	10.3390/microorganisms8020229	2020
Metabolism	Hfq plays important roles in virulence and stress adaptation in Cronobacter sakazakii ATCC 29544.	Kim S, Hwang H, Kim KP, Yoon H, Kang DH, Ryu S.	Infect Immun	10.1128/iai.03161-14	2015
	Analysis and Characterization of Proteins Associated with Outer Membrane Vesicles Secreted by Cronobacter spp.	Kothary MH, Gopinath GR, Gangiredla J, Rallabhandi PV, Harrison LM, Yan QQ, Chase HR, Lee B, Park E, Yoo Y, Chung T, Finkelstein SB, Negrete FJ, Patel IR, Carter L, Sathyamoorthy V, Fanning S, Tall BD.	Front Microbiol	10.3389/fmicb.2017.00134	2017
	Cronobacter: an emergent pathogen causing meningitis to neonates through their feeds.	Tall BD, Chen Y, Yan Q, Gopinath GR, Grim CJ, Jarvis KG, Fanning S, Lampel KA.	Sci Prog	10.3184/003685014x13994743930498	2014
Genetics	Genomic characterization of malonate positive Cronobacter sakazakii serotype O:2, sequence type 64 strains, isolated from clinical, food, and environment samples.	Gopinath GR, Chase HR, Gangiredla J, Eshwar A, Jang H, Patel I, Negrete F, Finkelstein S, Park E, Chung T, Yoo Y, Woo J, Lee Y, Park J, Choi H, Jeong S, Jun S, Kim M, Lee C, Jeong H, Fanning S, Stephan R, Iversen C, Reich F, Klein G, Lehner A, Tall BD.	Gut Pathog	10.1186/s13099-018-0238-9	2018
Genetics	Complete genome sequence and phenotype microarray analysis of Cronobacter sakazakii SP291: a persistent isolate cultured from a powdered infant formula production facility.	Yan Q, Power KA, Cooney S, Fox E, Gopinath GR, Grim CJ, Tall BD, McCusker MP, Fanning S.	Front Microbiol	10.3389/fmicb.2013.00256	2013
Genetics	The structure of O-polysaccharide isolated from Cronobacter universalis NCTC 9529T.	Marszewska K, Czerwicka M, Forsythe SJ, Saldak E, Szulta S, Dziadziuszko H, Ossowska K, Kaczynski Z	Carbohydr Res	10.1016/j.carres.2014.07.014	2014
Phylogeny	Cronobacter condimenti sp. nov., isolated from spiced meat, and Cronobacter universalis sp. nov., a species designation for Cronobacter sp. genomospecies 1, recovered from a leg infection, water and food ingredients.	Joseph S, Cetinkaya E, Drahovska H, Levican A, Figueras MJ, Forsythe SJ	Int J Syst Evol Microbiol	10.1099/ijs.0.032292-0	2011

References

#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 )
#21154	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27963
#26619	IJSEM 1277 2012 ( DOI 10.1099/ijs.0.032292-0 , PubMed 22661070 )
#30278	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26619
#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) .
#68368	Automatically annotated from API 20E .
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Cronobacter universalis (DSM 27963, CECT 7864, LMG 26249)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20E

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001277175

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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