Chishuiella changwenlii (DSM 27989, CGMCC 1.12707, JCM 19633)

Name: Chishuiella changwenlii (DSM 27989, CGMCC 1.12707, JCM 19633)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130336

Type strain

Strain Designation BY4

Culture col. no. DSM 27989 CGMCC 1.12707 JCM 19633 BY4

NCBI tax ID(s) 1434701

Special Collections DSMZ JCM

Links

Chishuiella changwenlii BY4 is a mesophilic prokaryote that was isolated from river freshwater.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 406346

JCM 19633,DSM 27989

@ref 20215

Last LPSN update 2025-12-16 10:00:58

Domain Pseudomonadati

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Weeksellaceae

Genus Chishuiella

Species Chishuiella changwenlii

Full scientific name Chishuiella changwenlii Zhang et al. 2014

Morphology

Cell morphology

@ref	Confidence	Gram stain
125438	90
125438	97.964	negative
125439	99.7	negative

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22112	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)		Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
22112	positive	growth	28	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.8

Spore formation

@ref	Spore formation	Confidence
125438		91.899
125439		94.4

Observation

67770

Observationquinones: MK-6

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Freshwater
#Environmental	#Aquatic	#River (Creek)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
22112	river freshwater	Chishui River (27° 51' 28'' N 106° 22' 8'' E)	China	CHN	Asia	27.8578	106.369 27.8578/106.369
67770	Freshwater in the Chishui River		China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence KF694751 (>99% sequence identity) for Chishuiella changwenlii from Microbeatlas

Aquatic Samples	984
Soil Samples	386
Animal Samples	2078
Plant Samples	270
Total Samples	3718

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22112	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2700988695 annotated assembly for Chishuiella changwenlii DSM 27989	scaffold	GCA_900142565	1434701.3	2700988695	1434701	73.9
66792	ASM1463846v1 assembly for Chishuiella changwenlii CGMCC 1.12707	scaffold	GCA_014638465	1434701.7	8062165399	1434701	66.74

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22112	Chishuiella changwenlii strain BY4 16S ribosomal RNA gene, partial sequence	KF694751	1480		1434701
124043	Chishuiella changwenlii strain CGMCC 1.12707 16S ribosomal RNA gene, partial sequence.	MT760086	1347		1434701

GC content

@ref	GC-content (mol%)	Method
22112	30.0
67770	30	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: Chishuiella changwenlii CGMCC 1.12707
NCBI: GCA_014638465

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	94.40	no
125439	motility	BacteriaNetⓘ	no	59.90	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Chishuiella changwenlii CGMCC 1.12707
NCBI: GCA_014638465.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.96	no
125438	anaerobic	anaerobicⓘ	no	95.24	no
125438	aerobic	aerobicⓘ	yes	85.10	no
125438	spore-forming	spore-formingⓘ	no	91.90	no
125438	thermophilic	thermophileⓘ	no	99.48	yes
125438	flagellated	motile2+ⓘ	no	90.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Characterization and the first complete genome sequence of a novel strain of Bergeyella porcorum isolated from pigs in China.	Liu G, Chen C, Jiang Z, Liu Y, Wang X, Qiao L, Liu K, Han X.	BMC Microbiol	10.1186/s12866-024-03366-6	2024
Phylogeny	Description of Chishuiella changwenlii gen. nov., sp. nov., isolated from freshwater, and transfer of Wautersiella falsenii to the genus Empedobacter as Empedobacter falsenii comb. nov.	Zhang RG, Tan X, Liang Y, Meng TY, Liang HZ, Lv J	Int J Syst Evol Microbiol	10.1099/ijs.0.063115-0	2014

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 )
#22112	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27989
#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) .
#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 .
#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 )

Rate our new design

Content

About us

Chishuiella changwenlii (DSM 27989, CGMCC 1.12707, JCM 19633)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900142565

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media