Evansella caseinilytica (MCC 2612, JCM 30246)

Name: Evansella caseinilytica (MCC 2612, JCM 30246)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163755

Type strain

Culture col. no. MCC 2612 JCM 30246

NCBI tax ID(s) 1503961

Special Collections JCM

Links

Evansella caseinilytica JCM 30246 is a mesophilic prokaryote that was isolated from Lonar soda lake.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 27994

JCM 30246

@ref 20215

Last LPSN update 2025-12-16 10:09:17

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Evansella

Species Evansella caseinilytica

Full scientific name Evansella caseinilytica corrig. (Vishnuvardhan Reddy et al. 2015) Gupta et al. 2020

Synonyms (2)

Evansella caseinilyticus
Bacillus caseinilyticus

Morphology

Cell morphology

@ref	Motility	Confidence
125439		91.8

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93

Spore formation

@ref	Spore formation	Confidence
125439		94.4

Observation

67770

Observationquinones: MK-7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Lonar soda lake	India	IND	Asia

Taxonmaps

69479

Global distribution of 16S sequence LK026324 (>99% sequence identity) for Bacillus caseinilyticus subclade from Microbeatlas

Aquatic Samples	25
Soil Samples	25
Animal Samples	35
Plant Samples	3
Total Samples	88

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2675903024 annotated assembly for Evansella caseinilytica SP	contig	GCA_900107275	1503961.5	2675903024	1503961	38.36

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Bacillus caseinilyticus gene for 16S ribosomal RNA, partial sequence, strain: JCM 30246	LC121906	1492		1503961
67770	Bacillus caseinilyticus partial 16S rRNA gene, type strain SPT	LK026324	1433		1503961

GC content

@ref	GC-content (mol%)	Method
67770	38.9	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: Evansella caseinilytica SP
NCBI: GCA_900107275

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	94.40	no
125439	motility	BacteriaNetⓘ	yes	91.80	no
125439	gram_stain	BacteriaNetⓘ	variable	89.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Evansella caseinilytica SP
NCBI: GCA_900107275.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	74.06	no
125438	anaerobic	anaerobicⓘ	no	84.74	no
125438	aerobic	aerobicⓘ	yes	58.72	no
125438	spore-forming	spore-formingⓘ	yes	87.28	no
125438	thermophilic	thermophileⓘ	no	89.98	no
125438	flagellated	motile2+ⓘ	yes	84.72	no

Literature

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 )
#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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