Name: Chromobacterium sphagni JCM 31882
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 164145

Type strain:

Species: Chromobacterium sphagni

Culture col. no.: JCM 31882, NRRL B-67130

Strain history: M. B. Blackburn; ARS, USDA, USA; IIBBL 14B-1.

NCBI tax ID(s): 1903179 (species)

Special Collections

Section

When using BacDive for research please cite our paper

Chromobacterium sphagni JCM 31882 is a mesophilic bacterium that was isolated from Sphagnum bogs in West Virginia and Maine.

mesophilic
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	*Pseudomonadota*
	Class	*Betaproteobacteria*
	Order	*Neisseriales*
	Family	*Chromobacteriaceae*
	Genus	*Chromobacterium*
	Species	**Chromobacterium sphagni**
	Full Scientific Name (LPSN)	Chromobacterium sphagni Blackburn et al. 2017

Information on morphological and physiological properties Morphology

[Ref.: #125439]	Gram stain	negative Confidence in %99.7
[Ref.: #125438]	Gram stain	negative Confidence in %99.394

[Ref.: #125439]	Motility	yes Confidence in %91.9

Information on culture and growth conditions Culture and growth conditions

	Temperatures	Kind of temperature		Temperature
[Ref.: #67770]			growth	25 °C

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125439]

Ability of spore formation

no Confidence in %99.5

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

[Ref.: #67770]	Sample type/isolated from	Sphagnum bogs in West Virginia and Maine
[Ref.: #67770]	Host species	Sphagnum
[Ref.: #67770]	Country	USA
[Ref.: #67770]	Country ISO 3 Code	USA
[Ref.: #67770]	Continent	North America
* marker position based on {}

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

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #67770]	Chromobacterium sphagni IIBBL 14B-1	GCA_001855555	contig	GenBank ENA	1903179 tax ID

[Ref.: #67770]

GC-content

63.4 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: Chromobacterium sphagni IIBBL 14B-1 NCBI: GCA_001855555.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	no	99.394	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	89.176	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	63.583	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	87.514	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	94.325	no
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	79.173	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Chromobacterium sphagni IIBBL 14B-1 NCBI: GCA_001855555
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	99.5
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	91.9
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	99.7
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	facultative aerobe	80.1

Availability in culture collections External links

[Ref.: #67770]

Culture collection no.

JCM 31882, NRRL B-67130

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Chromobacterium sphagni sp. nov., an insecticidal bacterium isolated from Sphagnum bogs.	Blackburn MB, Farrar RR Jr, Sparks ME, Kuhar D, Mitchell A, Gundersen-Rindal DE	Int J Syst Evol Microbiol	10.1099/ijsem.0.002127	2017	*

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;

#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

Change proposal

You found an error in BacDive? Please tell us about it!

Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.

Search for species Chromobacterium sphagni in external resources:
SILVA
BRENDA
PANGAEA
GBIF

Chromobacterium sphagni IIBBL 14B-1

Chromobacterium sphagni IIBBL 14B-1

Change proposal

Change proposal