Paucilactobacillus nenjiangensis (LMG 27192, NCIMB 14833, 11102)

Name: Paucilactobacillus nenjiangensis (LMG 27192, NCIMB 14833, 11102)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 134061

Type strain

Strain Designation 11102

Culture col. no. LMG 27192 NCIMB 14833 11102 JCM 30919 CIP 110707

NCBI tax ID(s) 1296540

Special Collections JCM Literature strains CIP

History JCM <-- LMG 27192 <-- C. T. Gu; Northeast Agric. Univ., China; 11102. CIP <- 2014, LMG <- 2010, 2012, C. Gu, Northeast Agric. Univ., Heilongjiang Province, China: strain 11102

Links

Paucilactobacillus nenjiangensis 11102 is a facultative anaerobe, Gram-positive, rod-shaped bacterium that was isolated from Traditional pickle.

Gram-positive rod-shaped facultative anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 381217

LMG 27192,NCIMB 14833,JCM 30919,CIP 110707

@ref 20215

Last LPSN update 2026-05-29 08:38:14

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Paucilactobacillus

Species Paucilactobacillus nenjiangensis

Full scientific name Paucilactobacillus nenjiangensis (Gu et al. 2013) Zheng et al. 2020

Synonyms (1)

Lactobacillus nenjiangensis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31160	positive	2 µm	0.9 µm	rod-shaped
121264	positive			rod-shaped
125438					92.5
125438	positive				95.264

Pigmentation

31160

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
41610	MEDIUM 40- for Lactobacillus and Leuconostoc		Distilled water make up to (1000.000 ml);Man Rogosa Sharp agar (68.000 g)
121264	CIP Medium 40			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
31160	positive	growth	37
41610	positive	growth	30
67770	positive	growth	28

Culture pH

@ref	Ability	Type	PH	PH range
31160	positive	growth	4	acidophile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
31160	facultative anaerobe
125439	obligate aerobe	98.842

Spore formation

@ref	Spore formation	Confidence
31160
125438		90.48

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31160	NaCl	positive	growth	5 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31160	22599 ChEBI	arabinose	+	carbon source
31160	28757 ChEBI	fructose	+	carbon source
31160	28260 ChEBI	galactose	+	carbon source
31160	24265 ChEBI	gluconate	+	carbon source
31160	17234 ChEBI	glucose	+	carbon source
31160	17306 ChEBI	maltose	+	carbon source
31160	33942 ChEBI	ribose	+	carbon source
31160	17992 ChEBI	sucrose	+	carbon source
31160	18222 ChEBI	xylose	+	carbon source

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
67770	Traditional pickle	Heilongjiang Province	China	CHN	Asia
121264	Traditional pickle, sourdough	Heilongjiang Province, China	China	CHN	Asia	2010

Taxonmaps

69479

Global distribution of 16S sequence HF679039 (>99% sequence identity) for Paucilactobacillus from Microbeatlas

Aquatic Samples	3086
Soil Samples	1014
Animal Samples	4002
Plant Samples	304
Total Samples	8406

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
121264	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM540544v1 assembly for Paucilactobacillus nenjiangensis 11102	contig	GCA_005405445	1296540.6	2956974696	1296540	56.71

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31160	Lactobacillus nenjiangensis partial 16S rRNA gene, type strain 11102T	HF679039	1450		1296540

GC content

@ref	GC-content (mol%)	Method
31160	41.2
67770	38.7	genome sequence analysis
67770	41.2	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM540544v1 assembly for Paucilactobacillus nenjiangensis 11102
BV-BRC: 1296540.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.84	no
125439	motility	BacteriaNetⓘ	yes	41.99	no
125439	gram_stain	BacteriaNetⓘ	positive	65.26	no
125439	spore_formation	BacteriaNetⓘ	no	75.08	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lactobacillus nenjiangensis strain 11102
PATRIC: 1296540.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	95.26	no
125438	anaerobic	anaerobicⓘ	no	79.54	yes
125438	spore-forming	spore-formingⓘ	no	90.48	yes
125438	aerobic	aerobicⓘ	no	92.20	no
125438	thermophilic	thermophileⓘ	no	96.50	no
125438	flagellated	motile2+ⓘ	no	92.50	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 )
#27488	IJSEM 4698 2013 ( DOI 10.1099/ijs.0.054296-0 , PubMed 23950151 )
#31160	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 #27488
#41610	; Curators of the CIP;
#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 .
#121264	Collection of Institut Pasteur ; Curators of the CIP; CIP 110707
#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 )

Content

About us