Aminipila terrae (DSM 110662, KACC 21651, CBA3637)

Name: Aminipila terrae (DSM 110662, KACC 21651, CBA3637)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169770

Type strain

Strain Designation CBA3637

Culture col. no. DSM 110662 KACC 21651 CBA3637

NCBI tax ID(s) 2697030

Special Collections DSMZ

Links

Aminipila terrae CBA3637 is a mesophilic prokaryote that was isolated from freshwater sediment.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 404744

DSM 110662

@ref 20215

Last LPSN update 2025-12-16 10:10:39

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Peptostreptococcales

Family Anaerovoracaceae

Genus Aminipila

Species Aminipila terrae

Full scientific name Aminipila terrae Kim et al. 2022

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
69192	PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c)		Medium recipe at MediaDive	Name: PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c) Composition: Yeast extract 10.0 g/l D-Glucose 5.0 g/l Trypticase peptone 5.0 g/l Meat peptone 5.0 g/l Na2CO3 1.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
69192	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	94.645
125439	anaerobe	96.5

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
69192	freshwater sediment	Daejeon, Geum River	Republic of Korea	KOR	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1012071v1 assembly for Aminipila terrae CBA3637	complete	GCA_010120715	2697030.3	2883536940	2697030	91.67

GC content

@ref	GC-content (mol%)	Method
69192	36.7	sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Aminipila terrae CBA3637
NCBI: GCA_010120715

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	87.70	no
125439	motility	BacteriaNetⓘ	yes	85.30	no
125439	gram_stain	BacteriaNetⓘ	variable	73.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	96.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aminipila terrae CBA3637
NCBI: GCA_010120715.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	52.67	no
125438	anaerobic	anaerobicⓘ	yes	94.65	no
125438	aerobic	aerobicⓘ	no	97.87	no
125438	spore-forming	spore-formingⓘ	yes	60.80	no
125438	thermophilic	thermophileⓘ	no	82.44	no
125438	flagellated	motile2+ⓘ	yes	70.19	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Aminipila terrae sp. nov., a strictly anaerobic bacterium isolated from river sediment.	Kim YB, Kim JY, Kim J, Song HS, Whon TW, Lee SH, Yoo S, Myoung J, Son HS, Roh SW	Arch Microbiol	10.1007/s00203-021-02301-x	2021

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 )
#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) .
#69192	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110662
#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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Aminipila terrae (DSM 110662, KACC 21651, CBA3637)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_010120715

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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