Lacticaseibacillus suilingensis (ZW152, CCM 9110, LMG 32143)

Name: Lacticaseibacillus suilingensis (ZW152, CCM 9110, LMG 32143)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167502

Type strain

Strain Designation ZW152

Culture col. no. ZW152 CCM 9110 LMG 32143 CCTCC AB 2020299 JCM 34363

NCBI tax ID(s) 2799577

Special Collections JCM

Links

Lacticaseibacillus suilingensis ZW152 is a bacterium of the family Lactobacillaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 272229

LMG 32143,JCM 34363

@ref 20215

Last LPSN update 2026-05-29 08:46:09

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Lacticaseibacillus

Species Lacticaseibacillus suilingensis

Full scientific name Lacticaseibacillus suilingensis Liu et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125438	positive	94.888
125438		90.5

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	92.514

Spore formation

@ref	Spore formation	Confidence
125439		97.883

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1686184v1 assembly for Lacticaseibacillus suilingensis ZW152	contig	GCA_016861845	2799577.3	3003956599	2799577	63.29
124043	ASM4268023v1 assembly for Lacticaseibacillus suilingensis CCM 9110	scaffold	GCA_042680235			2799577	63.05

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Lacticaseibacillus sp. ZW152 gene for 16S rRNA, partial sequence	LC597590	1418		2799577

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1686184v1 assembly for Lacticaseibacillus suilingensis ZW152
BV-BRC: 2799577.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	yes	42.18	no
125439	gram_stain	BacteriaNetⓘ	positive	55.18	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	92.51	no
125439	spore_formation	BacteriaNetⓘ	no	97.88	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lacticaseibacillus sp. ZW152
PATRIC: 2799577.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	94.89	no
125438	anaerobic	anaerobicⓘ	no	85.46	no
125438	spore-forming	spore-formingⓘ	no	86.44	no
125438	aerobic	aerobicⓘ	no	95.61	no
125438	thermophilic	thermophileⓘ	no	96.50	no
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Apilactobacillus nanyangensis sp. nov., Secundilactobacillus hailunensis sp. nov., Secundilactobacillus yichangensis sp. nov., Levilactobacillus andaensis sp. nov., Levilactobacillus wangkuiensis sp. nov., Levilactobacillus lanxiensis sp. nov., Lacticaseibacillus mingshuiensis sp. nov. and Lacticaseibacillus suilingensis sp. nov., isolated from traditional Chinese pickle and the gut of honeybee (Apis mellifera).	Liu DD, Li YQ, Zhang LP, Ding W, Tian WL, Gu CT	Int J Syst Evol Microbiol	10.1099/ijsem.0.004898	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) .
#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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Lacticaseibacillus suilingensis (ZW152, CCM 9110, LMG 32143)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_016861845

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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