Qipengyuania nanhaisediminis (CGMCC 1.7715, JCM 16125, T30)

Name: Qipengyuania nanhaisediminis (CGMCC 1.7715, JCM 16125, T30)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133552

Type strain

Strain Designation T30

Culture col. no. CGMCC 1.7715 JCM 16125 T30

NCBI tax ID(s) 604088

Special Collections JCM Literature strains

History JCM <-- M. Xu T30.

Links

Qipengyuania nanhaisediminis T30 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from freshwater sediment .

Gram-negative rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27971

JCM 16125

@ref 20215

Last LPSN update 2026-05-29 08:38:07

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sphingomonadales

Family Erythrobacteraceae

Genus Qipengyuania

Species Qipengyuania nanhaisediminis

Full scientific name Qipengyuania nanhaisediminis (Xu et al. 2010) Xu et al. 2020

Synonyms (1)

Erythrobacter nanhaisediminis

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29483	negative	0.5-1.7 µm	0.3-0.5 µm	rod-shaped
125439	negative				98.792
125438	negative				97.802

Pigmentation

29483

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
29483	positive	growth	04-45
29483	positive	optimum	30
67770	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
29483	positive	optimum	7-7.5
29483	positive	growth	4.5-11	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29483	aerobe
125439	obligate aerobe	98.024

Spore formation

@ref	Spore formation	Confidence
29483
125438		93.415
125439		99.54

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29483	NaCl	positive	growth	02-10 %
29483	NaCl	positive	optimum	02-03 %

Observation

@ref	Observation
29483	aggregates in chains
67770	quinones: Q-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29483	30089 ChEBI	acetate	+	carbon source
29483	4853 ChEBI	esculin	+	hydrolysis
29483	17234 ChEBI	glucose	+	carbon source
29483	29987 ChEBI	glutamate	+	carbon source
29483	17754 ChEBI	glycerol	+	carbon source
29483	25115 ChEBI	malate	+	carbon source
29483	17306 ChEBI	maltose	+	carbon source
29483	15361 ChEBI	pyruvate	+	carbon source
29483	30031 ChEBI	succinate	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29483	catalase	+	1.11.1.6
29483	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Freshwater
#Environmental	#Aquatic	#Lake (large)
#Environmental	#Aquatic	#Pond (small)
#Environmental	#Aquatic	#River (Creek)

Isolation

@ref	Sample type
29483	freshwater sediment (river, lake, pond)
67770	Marine sediment of the South China Sea

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2619618819 annotated assembly for Qipengyuania nanhaisediminis CGMCC 1.7715	scaffold	GCA_900115585	604088.3	2619618819	604088	75.83

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29483	Erythrobacter nanhaisediminis strain T30 16S ribosomal RNA gene, partial sequence	FJ654473	1347		604088
124043	Erythrobacter nanhaisediminis strain CGMCC 1.7715 16S ribosomal RNA gene, partial sequence.	MW198095	601		604088

GC content

@ref	GC-content (mol%)	Method
29483	59.5
67770	62	genome sequence analysis
67770	59.5	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: IMG-taxon 2619618819 annotated assembly for Qipengyuania nanhaisediminis CGMCC 1.7715
NCBI: GCA_900115585

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.02	no
125439	motility	BacteriaNetⓘ	no	63.31	no
125439	gram_stain	BacteriaNetⓘ	negative	98.79	no
125439	spore_formation	BacteriaNetⓘ	no	99.54	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Erythrobacter nanhaisediminis strain CGMCC 1.7715
PATRIC: 604088.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.80	yes
125438	anaerobic	anaerobicⓘ	no	94.66	yes
125438	spore-forming	spore-formingⓘ	no	93.42	no
125438	aerobic	aerobicⓘ	yes	88.09	no
125438	thermophilic	thermophileⓘ	no	98.07	yes
125438	flagellated	motile2+ⓘ	no	69.73	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Qipengyuania spongiae sp. nov., isolated from marine sponge Cinachyrella kuekenthali.	Zhang M, Song Q, Sang J, Li Z.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005800	2023
Genetics	Erythrobacter aurantius sp. nov., isolated from intertidal seawater in Taizhou.	Zhang Y, Hua J, Ying JJ, Dong H, Li H, Xamxidin M, Han BN, Sun C, Xu L.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005616	2022

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 )
#25883	IJSEM 2215 2010 ( DOI 10.1099/ijs.0.014027-0 , PubMed 19897611 )
#29483	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 #25883
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Qipengyuania nanhaisediminis (CGMCC 1.7715, JCM 16125, T30)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_900115585

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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