Geotalea uraniireducens (ATCC BAA-1134, JCM 13001, Rf4)

Name: Geotalea uraniireducens (ATCC BAA-1134, JCM 13001, Rf4)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134307

Type strain

Strain Designation Rf4

Culture col. no. ATCC BAA-1134 JCM 13001 Rf4

NCBI tax ID(s) 351604

Special Collections JCM Literature strains

Geotalea uraniireducens Rf4 is a Gram-negative, motile, rod-shaped bacterium that was isolated from Subsurface sediment undergoing uranium bioremediation.

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

Name and taxonomic classification

Culture Collection Numbers

ATCC BAA-1134 JCM 13001 Rf4

@ref 20215

Last LPSN update 2026-02-09 11:32:09

Domain Bacteria

Phylum Thermodesulfobacteriota

Class Desulfuromonadia

Order Geobacterales

Family Geobacteraceae

Genus Geotalea

Species Geotalea uraniireducens

Full scientific name Geotalea uraniireducens (Shelobolina et al. 2008) Waite et al. 2020

Synonyms (1)

Geobacter uraniireducens

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
32361	negative	1.6 µm	0.55 µm	rod-shaped
125438	negative					95.233

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
32361	positive	growth	10-34
32361	positive	optimum	32

Culture pH

@ref	Ability	Type	PH
32361	positive	optimum	6.75
32361	positive	growth	6-7.7

Physiology and metabolism

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Bioremediation	-
#Environmental	#Terrestrial	#Sediment

Isolation

32361

Sample typeSubsurface sediment undergoing uranium bioremediation

Taxonmaps

69479

Global distribution of 16S sequence EF527427 (>99% sequence identity) for Geobacter uraniireducens from Microbeatlas

Aquatic Samples	211
Soil Samples	362
Animal Samples	186
Plant Samples	48
Total Samples	807

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1674v1 assembly for Geotalea uraniireducens Rf4	complete	GCA_000016745	351605.6	640427115	351605	97.97

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
32361	Geobacter uraniireducens Rf4 16S ribosomal RNA gene, partial sequence	EF527427	1359		351605

GC content

32361

GC-content (mol%)54

Genome-based predictions

Predictions

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Geotalea uraniireducens Rf4 Rf4
NCBI: GCA_000016745.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.23	yes
125438	anaerobic	anaerobicⓘ	yes	57.28	no
125438	aerobic	aerobicⓘ	no	67.96	no
125438	spore-forming	spore-formingⓘ	no	77.51	no
125438	thermophilic	thermophileⓘ	no	87.10	yes
125438	flagellated	motile2+ⓘ	yes	73.39	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Multiomics and machine learning unveil root exudate-microbiota interactions for cadmium control in rice.	Li Y, Hou J, Liu M, Du Z, Chen H, Liu G, Wang Y, Yao Y, Sun P, Zhao L, An Y.	J Environ Manage	10.1016/j.jenvman.2025.127960	2025
	New insights in uranium bioremediation by cytochromes of the bacterium Geotalea uraniireducens.	Almeida A, Turner DL, Silva MA, Salgueiro CA.	J Biol Chem	10.1016/j.jbc.2024.108090	2025
Genetics	Polyphasic Characterization of Geotalea uranireducens NIT-SL11 Newly Isolated from a Complex of Sewage Sludge and Microbially Reduced Graphene Oxide.	Xie L, Yoshida N, Meng L.	Microorganisms	10.3390/microorganisms11020349	2023
	The role of microbiomes in cooperative detoxification mechanisms of arsenate reduction and arsenic methylation in surface agricultural soil.	Rueangmongkolrat N, Uthaipaisanwong P, Kusonmano K, Pruksangkul S, Sonthiphand P.	PeerJ	10.7717/peerj.18383	2024
Genetics	A survey of the Desulfuromonadia "cytochromome" provides a glimpse of the unexplored diversity of multiheme cytochromes in nature.	Soares R, Fonseca BM, Nash BW, Paquete CM, Louro RO.	BMC Genomics	10.1186/s12864-024-10872-4	2024
	Promoter propagation in prokaryotes.	Matus-Garcia M, Nijveen H, van Passel MW.	Nucleic Acids Res	10.1093/nar/gks787	2012
Metabolism	Dynamic Succession of Groundwater Functional Microbial Communities in Response to Emulsified Vegetable Oil Amendment during Sustained In Situ U(VI) Reduction.	Zhang P, Wu WM, Van Nostrand JD, Deng Y, He Z, Gihring T, Zhang G, Schadt CW, Watson D, Jardine P, Criddle CS, Brooks S, Marsh TL, Tiedje JM, Arkin AP, Zhou J.	Appl Environ Microbiol	10.1128/aem.00043-15	2015
	A recently active miniature inverted-repeat transposable element, Chunjie, inserted into an operon without disturbing the operon structure in Geobacter uraniireducens Rf4.	Chen Y, Zhou F, Li G, Xu Y.	Genetics	10.1534/genetics.108.089995	2008
	Bioinformatic evidence for a widely distributed, ribosomally produced electron carrier precursor, its maturation proteins, and its nicotinoprotein redox partners.	Haft DH.	BMC Genomics	10.1186/1471-2164-12-21	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 )
#28590	IJSEM 1075 2008 ( DOI 10.1099/ijs.0.65377-0 , PubMed 18450691 )
#32361	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 #28590
#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) .
#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 )

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Geotalea uraniireducens (ATCC BAA-1134, JCM 13001, Rf4)

Name and taxonomic classification

Culture Collection Numbers

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000016745

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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