Actinotalea ferrariae (KCTC 29134, CCTCC AB 2012198, CF5-4)

Name: Actinotalea ferrariae (KCTC 29134, CCTCC AB 2012198, CF5-4)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133962

Type strain

Strain Designation CF5-4

Culture col. no. KCTC 29134 CCTCC AB 2012198 CF5-4 JCM 31479 DSM 112671

NCBI tax ID(s) 1386098

Special Collections DSMZ JCM KCTC Literature strains

History DSMZ <- KCTC; KCTC 29134 <- Y. Li, Huazhong Agricultural Univ.; CF5-4 JCM <-- KCTC 29134 <-- G. Wang; Huazhong Agric. Univ., China; CF5-4. KCTC <- Y Li, Huazhong Agri. Univ., China

Links

Actinotalea ferrariae CF5-4 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from iron mine.

Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 400521

KCTC 29134,DSM 112671

@ref 20215

Last LPSN update 2026-05-29 08:38:13

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Cellulomonadaceae

Genus Actinotalea

Species Actinotalea ferrariae

Full scientific name Actinotalea ferrariae Li et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
30960	positive	1.15 µm	0.45 µm	rod-shaped
125439	positive					97.215

Pigmentation

30960

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
67613	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
30960	positive	growth	04-40
30960	positive	optimum	28
67613	positive	growth	28
67770	positive	growth	28
67771	positive	growth	28

Culture pH

@ref	Ability	Type	PH
30960	positive	optimum	7
30960	positive	growth	6.0-8.0

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30960	aerobe
67771	aerobe
125439	obligate aerobe	99.198

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30960	NaCl	positive	growth	0-7 %
30960	NaCl	positive	optimum	3 %

Observation

@ref	Observation
30960	aggregates in clumps
67770	quinones: MK-10(H₄)
67771	quinones: MK-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30960	30089 ChEBI	acetate	+	carbon source
30960	22599 ChEBI	arabinose	+	carbon source
30960	4853 ChEBI	esculin	+	hydrolysis
30960	17234 ChEBI	glucose	+	carbon source
30960	28087 ChEBI	glycogen	+	carbon source
30960	17306 ChEBI	maltose	+	carbon source
30960	17632 ChEBI	nitrate	+	reduction
30960	33942 ChEBI	ribose	+	carbon source
30960	17814 ChEBI	salicin	+	carbon source
30960	17992 ChEBI	sucrose	+	carbon source
30960	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30960	acid phosphatase	+	3.1.3.2
30960	alkaline phosphatase	+	3.1.3.1
30960	alpha-galactosidase	+	3.2.1.22
30960	catalase	+	1.11.1.6
30960	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Other	#Mine

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
30960	iron mine
67613	iron mining powder	Hubei Provence	China	CHN	Asia
67770	Iron mining powder of Hongshan Iron Mine of Daye City	Hubei Province	China	CHN	Asia
67771	From environmental sample	Hubei	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence HQ730135 (>99% sequence identity) for Actinotalea ferrariae from Microbeatlas

Aquatic Samples	55
Soil Samples	138
Animal Samples	192
Plant Samples	13
Total Samples	398

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
67613	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	genome assembly for Actinotalea ferrariae CF5-4	contig	GCA_000603945	948458.3	2588254172	948458	0

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
30960	Actinotalea ferrariae CF5-4 16S ribosomal RNA gene, partial sequence	HQ730135	1483		948458

GC content

@ref	GC-content (mol%)	Method
30960	74.7
67770	74.7	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: genome assembly for Actinotalea ferrariae CF5-4
NCBI: GCA_000603945

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.20	no
125439	motility	BacteriaNetⓘ	no	84.03	no
125439	gram_stain	BacteriaNetⓘ	positive	97.22	no
125439	spore_formation	BacteriaNetⓘ	yes	38.75	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Actinotalea ferrariae CF5-4
PATRIC: 948458.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.13	no
125438	anaerobic	anaerobicⓘ	no	97.27	yes
125438	aerobic	aerobicⓘ	yes	77.11	yes
125438	spore-forming	spore-formingⓘ	no	57.77	no
125438	thermophilic	thermophileⓘ	no	93.99	no
125438	flagellated	motile2+ⓘ	no	81.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Physiological and Genomic Characterization of Actinotalea subterranea sp. nov. from Oil-Degrading Methanogenic Enrichment and Reclassification of the Family Actinotaleaceae.	Semenova EM, Grouzdev DS, Sokolova DS, Tourova TP, Poltaraus AB, Potekhina NV, Shishina PN, Bolshakova MA, Avtukh AN, Ianutsevich EA, Tereshina VM, Nazina TN	Microorganisms	10.3390/microorganisms10020378	2022
Phylogeny	Actinotalea solisilvae sp. nov., isolated from forest soil and emended description of the genus Actinotalea.	Yan ZF, Lin P, Li CT, Kook M, Yi TH	Int J Syst Evol Microbiol	10.1099/ijsem.0.002584	2018
Phylogeny	Actinotalea caeni sp. nov., isolated from a sludge sample of a biofilm reactor.	Jin L, Ko SR, Lee CS, Ahn CY, Lee JS, Lee KC, Oh HM, Lee HG	Int J Syst Evol Microbiol	10.1099/ijsem.0.001769	2017
Phylogeny	Pseudactinotalea terrae gen. nov., sp. nov., isolated from greenhouse soil, and reclassification of Actinotalea suaedae as Pseudactinotalea suaedae comb. nov.	Cho H, Hamada M, Ahn JH, Weon HY, Joa JH, Suzuki KI, Kwon SW, Kim SJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.001701	2017
Phylogeny	Actinotalea ferrariae sp. nov., isolated from an iron mine, and emended description of the genus Actinotalea.	Li Y, Chen F, Dong K, Wang G	Int J Syst Evol Microbiol	10.1099/ijs.0.048512-0	2013
Phylogeny	Actinotalea suaedae sp. nov., isolated from the halophyte Suaeda physophora in Xinjiang, Northwest China.	Zhao S, Li L, Li SH, Wang HF, Hozzein WN, Zhang YG, Wadaan MA, Li WJ, Tian CY	Antonie Van Leeuwenhoek	10.1007/s10482-014-0297-y	2014

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 )
#27290	IJSEM 3398 2013 ( DOI 10.1099/ijs.0.048512-0 , PubMed 23524356 )
#30960	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 #27290
#67613	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 112671
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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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Actinotalea ferrariae (KCTC 29134, CCTCC AB 2012198, CF5-4)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000603945

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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