Cite this strain

Lysobacter bugurensis (DSM 26007, CCTCC AB 207175, KCTC 23077)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17501

Type strain

Strain Designation ZLD-29

Culture col. no. DSM 26007 CCTCC AB 207175 KCTC 23077 ZLD-29

NCBI tax ID(s) 543356

Special Collections DSMZ KCTC

Links

Name and taxonomic classification

Lysobacter bugurensis ZLD-29 is an aerobe, mesophilic, Gram-negative bacterium that was isolated from soil of arid aerea.

Gram-negative aerobe mesophilic genome sequence 16S sequence Bacteria

SI-ID 405922

DSM 26007

Last LPSN update 2024-12-09 10:45:02

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Lysobacterales

Family Lysobacteraceae

Genus Lysobacter

Species Lysobacter bugurensis

Full scientific name Lysobacter bugurensis Zhang et al. 2011

Synonyms (1)

Cognatilysobacter bugurensis

Morphology

Cell morphology

@ref	Gram stain
67771	negative
125438	negative
125439	negative

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
18149	HALF STRENGTH BACTO MARINE BROTH (DSMZ Medium 514a)		Medium recipe at MediaDive	Name: HALF STRENGTH BACTO MARINE BROTH (DSMZ Medium 514a) Composition: Agar 15.0 g/l NaCl 9.725 g/l MgCl2 2.95 g/l Bacto peptone 2.5 g/l Na2SO4 1.62 g/l CaCl2 0.9 g/l Yeast extract 0.5 g/l KCl 0.275 g/l NaHCO3 0.08 g/l Fe(III) citrate 0.05 g/l KBr 0.04 g/l SrCl2 0.017 g/l H3BO3 0.011 g/l Na2HPO4 0.004 g/l Na-silicate 0.002 g/l NaF 0.0012 g/l (NH4)NO3 0.0008 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
18149	positive	growth	28	mesophilic
67771	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		95.8

Oxygen tolerance

@ref	Oxygen tolerance
67771	aerobe
125439	obligate aerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
18149	soil of arid aerea	Xinjiang Province	China	CHN	Asia	43.2667	89.2333 43.2667/89.2333
67771	From soil	Gobi	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU780693 (>99% sequence identity) for Lysobacter bugurensis subclade from Microbeatlas

Aquatic Samples	90
Soil Samples	423
Animal Samples	448
Plant Samples	74
Total Samples	1035

Safety information

Risk assessment

@ref	Biosafety level	Biosafety level comment
18149	1	Risk group (German classification) According to TRBA 466

Sequence information

GC content

@ref	GC-content (mol%)	Method
18149	68.2	high performance liquid chromatography (HPLC)

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
18149	UNVERIFIED_ORG: Lysobacter bugurensis strain ZLD-29 16S ribosomal RNA gene, partial sequence	EU780693	1453		543356

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Lysobacter bugurensis KCTC 23077	GCA_014652095	scaffold		543356
66792	Lysobacter bugurensis strain KCTC 23077	543356.4	wgs	PATRIC	543356

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Lysobacter bugurensis KCTC 23077
NCBI: GCA_014652095

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.80	no
125439	motility	BacteriaNetⓘ	yes	67.70	no
125439	gram_stain	BacteriaNetⓘ	negative	97.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.90	no

Predictions from Diaspora project based on:
Lysobacter bugurensis KCTC 23077
NCBI: GCA_014652095.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.74	yes
125438	anaerobic	anaerobicⓘ	no	96.35	yes
125438	aerobic	aerobicⓘ	yes	79.32	no
125438	spore-forming	spore-formingⓘ	no	88.30	no
125438	thermophilic	thermophileⓘ	no	90.95	no
125438	flagellated	motile2+ⓘ	yes	51.78	no

External links

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Lysobacter helvus sp. nov. and Lysobacter xanthus sp. nov., isolated from Soil in South Korea.	Kim I, Choi J, Chhetri G, Seo T	Antonie Van Leeuwenhoek	10.1007/s10482-019-01256-w	2019
Phylogeny	Lysobacter mobilis sp. nov., isolated from abandoned lead-zinc ore.	Yang SZ, Feng GD, Zhu HH, Wang YH	Int J Syst Evol Microbiol	10.1099/ijs.0.000026	2014
Phylogeny	Lysobacter korlensis sp. nov. and Lysobacter bugurensis sp. nov., isolated from soil.	Zhang L, Bai J, Wang Y, Wu GL, Dai J, Fang CX	Int J Syst Evol Microbiol	10.1099/ijs.0.024448-0	2010

Straininfo Link

@ref	Straininfo	Culture collections
86498	405922	DSM 26007

Culture collection no.

Culture collection no.
DSM 26007
CCTCC AB 207175
KCTC 23077
ZLD-29

References

#18149	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26007
#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) .
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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 .
#86498	Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID405922.1 )
#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 .

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