Name: Acetilactobacillus jinshanensis HSLZ-75
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 164491

Type strain:

Species: Acetilactobacillus jinshanensis

Strain Designation: HSLZ-75

Culture col. no.: JCM 33270, CICC 6269

Strain history: X. Li; Jiangsu Hengshun Vinegar Ind. Co., Ltd., China; HSLZ-75.

NCBI tax ID(s): 1720083 (species)

Special Collections

Section

When using BacDive for research please cite our paper

Acetilactobacillus jinshanensis HSLZ-75 is a facultative anaerobe, mesophilic, Gram-positive bacterium that forms irregular colonies and was isolated from Solid-state vinegar culture of Zhenjiang aromatic vinegar.

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

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Bacillota*
	Class	*Bacilli*
	Order	*Lactobacillales*
	Family	*Lactobacillaceae*
	Genus	*Acetilactobacillus*
	Species	**Acetilactobacillus jinshanensis**
	Full Scientific Name (LPSN)	Acetilactobacillus jinshanensis Zheng et al. 2020

Synonym

"Lactobacillus jinshani"

Information on morphological and physiological properties Morphology

[Ref.: #68327]	Gram stain	positive
[Ref.: #125438]	Gram stain	positive Confidence in %92.599

[Ref.: #68327]	Cell length	1-2.8 µm

[Ref.: #68327]	Cell width	0.5-0.8 µm

[Ref.: #68327]	Cell shape	rod-shaped

[Ref.: #68327]	Motility	no
[Ref.: #125438]	Motility	no Confidence in %93.5

[Ref.: #68327]	Colony size	1-2 mm
[Ref.: #68327]	Colony color	white
[Ref.: #68327]	Colony shape	irregular
[Ref.: #68327]	Incubation period	7 days
[Ref.: #68327]	Cultivation medium used	modi?ed MRS agar

Information on culture and growth conditions Culture and growth conditions

		Temperature
[Ref.: #67770]	growth	37 °C
[Ref.: #68327]	growth	20-40 °C
[Ref.: #68327]	optimum	35 °C

	pH	Kind of pH		pH
[Ref.: #68327]			optimum	4
[Ref.: #68327]			growth	3-5

Information on physiology and metabolism Physiology and metabolism

[Ref.: #68327]	Oxygen tolerance	facultative anaerobe
[Ref.: #125439]	Oxygen tolerance	obligate aerobe Confidence in %98.6

[Ref.: #68327]

Ability of spore formation

	Halophily	Salt	Tested relation		Salt conc.
[Ref.: #68327]		NaCl		growth	0-5	%(w/v)
[Ref.: #68327]		NaCl		optimum	0	%(w/v)

[Ref.: #68327]

Observation

occurring singly or in short chains

	Metabolite	Utilization activity	Kind of utilization tested
[Ref.: #68327]	cellobiose ChEBI	+	carbon source
[Ref.: #68327]	D-glucose ChEBI	+	carbon source
[Ref.: #68327]	erythritol ChEBI	+	carbon source
[Ref.: #68327]	gentiobiose ChEBI	+	carbon source
[Ref.: #68327]	glucose ChEBI	+	builds gas from
[Ref.: #68327]	lactose ChEBI	+	carbon source
[Ref.: #68327]	maltose ChEBI	+	carbon source
[Ref.: #68327]	methyl alpha-D-glucopyranoside ChEBI	+	carbon source
[Ref.: #68327]	methyl alpha-D-mannoside ChEBI	+	carbon source
[Ref.: #68327]	salicin ChEBI	+	carbon source
[Ref.: #68327]	xylitol ChEBI	+	carbon source
	Only first 10 entries are displayed. Click here to see all.

	Enzyme	Enzyme activity	EC number
[Ref.: #68327]	acid phosphatase	+	3.1.3.2
[Ref.: #68327]	alpha-galactosidase	-	3.2.1.22
[Ref.: #68327]	alpha-glucosidase	-	3.2.1.20
[Ref.: #68327]	beta-D-fucosidase	-	3.2.1.38
[Ref.: #68327]	beta-galactosidase	-	3.2.1.23
[Ref.: #68327]	beta-glucosidase	-	3.2.1.21
[Ref.: #68327]	beta-glucuronidase	-	3.2.1.31
[Ref.: #68327]	beta-mannosidase	-	3.2.1.25
[Ref.: #68327]	catalase	-	1.11.1.6
[Ref.: #68327]	chymotrypsin	-	3.4.4.5
[Ref.: #68327]	cystine arylamidase	+/-	3.4.11.3
[Ref.: #68327]	cytochrome oxidase	-	1.9.3.1
[Ref.: #68327]	leucine arylamidase	+	3.4.11.1
[Ref.: #68327]	lipase (C 14)	-
[Ref.: #68327]	N-acetyl-beta-glucosaminidase	-	3.2.1.52
[Ref.: #68327]	naphthol-AS-BI-phosphohydrolase	+/-
[Ref.: #68327]	trypsin	-	3.4.21.4
[Ref.: #68327]	urease	-	3.5.1.5
[Ref.: #68327]	valine arylamidase	+
	Only first 10 entries are displayed. Click here to see all.

Fatty acid profile

Metadata FA analysis

Reference

[Ref.: #68327]

Fatty acid	Percentage
C16:0	32.2
C18:1 w9c	22.2
C18:1 w7c/C18:1 w6c	12.2
C19:0 cyclo w8c	10.9

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #67770]	Sample type/isolated from	Solid-state vinegar culture of Zhenjiang aromatic vinegar
[Ref.: #67770]	Geographic location (country and/or sea, region)	Jiangsu Province
[Ref.: #67770]	Country	China
[Ref.: #67770]	Country ISO 3 Code	CHN
[Ref.: #67770]	Continent	Asia

[Ref.: #68327]	Sample type/isolated from	solid-state vinegar culture
[Ref.: #68327]	Geographic location (country and/or sea, region)	Zhenjiang, Jiangsu province
[Ref.: #68327]	Country	China
[Ref.: #68327]	Country ISO 3 Code	CHN
[Ref.: #68327]	Continent	Asia
[Ref.: #68327]	Geographic location	32.1039°/119.4710°
[Ref.: #68327]	Enrichment culture	modified MRS agar
[Ref.: #68327]	Enrichment culture composition	supplemented with 2% acetic acid
[Ref.: #68327]	Enrichment culture duration	7 days
[Ref.: #68327]	Enrichment culture temperature	35 ̊C
[Ref.: #68327]	Isolation/enrichment procedure	anaerobic conditions
* marker position based on {}

[Ref.: #69479]

Global distribution of 16S sequence KT783533 (>99% sequence identity) for Acetilactobacillus jinshanensis subclade from Microbeatlas

Aquatic Samples	282
Soil Samples	808
Animal Samples	1450
Plant Samples	128
Total Samples	2668

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #68327]	Acetilactobacillus jinshanensis 16S ribosomal RNA gene, partial sequence	KT783533	1419	GenBank ENA	1720083 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #68327]	Acetilactobacillus jinshanensis HSLZ-75	GCA_004359375	complete	GenBank ENA	1720083 tax ID

[Ref.: #68327]	GC-content	39.7 mol%	genome sequence analysis
[Ref.: #67770]	GC-content	41.7 mol%	genome sequence analysis

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acetilactobacillus jinshanensis HSLZ-75 NCBI: GCA_004359375.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	92.599	yes
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	78.721	yes
[Ref.: #125438]	aerobic	aerobicⓘ	no	89.105	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	89.998	yes
[Ref.: #125438]	thermophile	thermophilicⓘ	no	97.058	yes
[Ref.: #125438]	motile2+	flagellatedⓘ	no	93.5	yes

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acetilactobacillus jinshanensis HSLZ-75 NCBI: GCA_004359375
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	70
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	53.9
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	positive	64.9
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	obligate aerobe	98.6

Availability in culture collections External links

[Ref.: #67770]

Culture collection no.

JCM 33270, CICC 6269

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Lactobacillus jinshani sp. nov., isolated from solid-state vinegar culture of Zhenjiang aromatic vinegar.	Yu Y, Li X, Zhang J, Chai LJ, Lu ZM, Xu ZH	Antonie Van Leeuwenhoek	10.1007/s10482-019-01316-1	2019	*

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;

#68327

Yongjian Yu, Xin Li, Junhong Zhang, Li-Juan Chai, Zhen-Ming Lu & Zheng-Hong Xu: Lactobacillus jinshani sp. nov., isolated from solid-state vinegar culture of Zhenjiang aromatic vinegar. Antonie Van Leeuwenhoek 113: 43 - 54 2020 ( DOI 10.1007/s10482-019-01316-1 )

#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 .

* These data were automatically processed and therefore are not curated

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