Name: Nitrosomonas stercoris KYUHI-S
Creator: BacDive
License: http://creativecommons.org/licenses/by-nc/4.0/

Strain identifier

BacDive ID: 169145

Type strain:

Species: Nitrosomonas stercoris

Strain Designation: KYUHI-S

Culture col. no.: NBRC 110753, ATCC BAA-2718

NCBI tax ID(s): 1444684 (species)

Section

Nitrosomonas stercoris KYUHI-S is a bacterium of the family Nitrosomonadaceae.

16S sequence
Bacteria
genome sequence

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

	Last LPSN update	14-12-2023 (DD-MM-YYYY)
	Domain	"Bacteria"
	Phylum	*Pseudomonadota*
	Class	*Betaproteobacteria*
	Order	*Nitrosomonadales*
	Family	*Nitrosomonadaceae*
	Genus	*Nitrosomonas*
	Species	**Nitrosomonas stercoris**
	Full Scientific Name (LPSN)	Nitrosomonas stercoris Nakagawa and Takahashi 2017

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

[Ref.: #69479]

Global distribution of 16S sequence AB900133 (>99% sequence identity) for Nitrosomonas stercoris subclade from Microbeatlas

Aquatic Samples	225
Soil Samples	178
Animal Samples	544
Plant Samples	46
Total Samples	993

Information on possible application of the strain and its possible interaction with e.g. potential hosts Safety information

[Ref.: #20215]

Biosafety level

Risk group

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.: #20215]	Nitrosomonas stercoris gene for 16S ribosomal RNA, partial sequence	AB900133	1462	ENA	1444684 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Nitrosomonas stercoris KYUHI-S	GCA_006742785	complete	GenBank	1444684 tax ID	*

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

	Trait	Prediction	Confidence in %	In training data
	Predictions from Diaspora project based on: Nitrosomonas stercoris KYUHI-S NCBI: GCA_006742785.1
[Ref.: #69480]	motile	yes	88.083	no
[Ref.: #69480]	flagellated	no	72.551	no
[Ref.: #69480]	gram-positive	no	97.985	no
[Ref.: #69480]	anaerobic	no	96.545	no
[Ref.: #69480]	aerobic	no	57.695	no
[Ref.: #69480]	halophile	no	87.876	no
[Ref.: #69480]	spore-forming	no	91.338	no
[Ref.: #69480]	thermophile	no	75.049	no
[Ref.: #69480]	glucose-util	no	59.879	no
[Ref.: #69480]	glucose-ferment	no	83.587	no

Availability in culture collections External links

[Ref.: #20215]

Culture collection no.

NBRC 110753, ATCC BAA-2718

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Nitrosomonas stercoris sp. nov., a Chemoautotrophic Ammonia-Oxidizing Bacterium Tolerant of High Ammonium Isolated from Composted Cattle Manure.	Nakagawa T, Takahashi R	Microbes Environ	10.1264/jsme2.ME15072	2015	*
Genetics	Whole-Genome Sequence of the Ammonia-Oxidizing Bacterium Nitrosomonas stercoris Type Strain KYUHI-S, Isolated from Composted Cattle Manure.	Nakagawa T, Tsuchiya Y, Takahashi R	Microbiol Resour Announc	10.1128/MRA.00742-19	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 )

#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) .

#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 .

#69480

Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Predictions based on genome sequence made in the Diaspora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .

* These data were automatically processed and therefore are not curated

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