Nonomuraea typhae (CCTCC AA 2019044, JCM 33461)

Name: Nonomuraea typhae (CCTCC AA 2019044, JCM 33461)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164566

Type strain

Culture col. no. CCTCC AA 2019044 JCM 33461

NCBI tax ID(s) 2603600

Special Collections JCM

Links

Nonomuraea typhae JCM 33461 is a mesophilic prokaryote that was isolated from Root of cattail pollen in Fuxian lake.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 393433

JCM 33461

@ref 20215

Last LPSN update 2025-12-16 10:09:29

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Streptosporangiales

Family Streptosporangiaceae

Genus Nonomuraea

Species Nonomuraea typhae

Full scientific name Nonomuraea typhae Peng et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125439	positive	99.9
125439		94.3

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.7

Spore formation

@ref	Spore formation	Confidence
125439		95.3

Observation

67770

Observationquinones: MK-9(H₂), MK-9(H₄), MK-9(H₀)

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
67770	Root of cattail pollen (Typha angustifolia L.) in Fuxian lake	Typha angustifolia L.	Yuxi, Yunnan Province, southwest PR China	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM976092v1 assembly for Nonomuraea typhae p1410	scaffold	GCA_009760925	2603600.3	2895374923	2603600	56.35

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Nonomuraea typhae 16S ribosomal RNA gene, partial sequence	MN311023	1513		2603600

GC content

@ref	GC-content (mol%)	Method
67770	70.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Nonomuraea typhae p1410
NCBI: GCA_009760925

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	95.30	no
125439	motility	BacteriaNetⓘ	no	94.30	no
125439	gram_stain	BacteriaNetⓘ	positive	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Nonomuraea typhae p1410
NCBI: GCA_009760925.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.78	no
125438	anaerobic	anaerobicⓘ	no	94.76	no
125438	aerobic	aerobicⓘ	yes	89.83	no
125438	spore-forming	spore-formingⓘ	yes	85.71	no
125438	thermophilic	thermophileⓘ	no	94.09	yes
125438	flagellated	motile2+ⓘ	no	83.60	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Nonomuraea typhae sp. nov., an endophytic actinomycete isolated from the root of cattail pollen (Typha angustifolia L.).	Peng C, Zhuang X, Wang Z, Gao C, Zhao J, Song J, Liu C, Shen Y	Int J Syst Evol Microbiol	10.1099/ijsem.0.004249	2020

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 .
#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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Nonomuraea typhae (CCTCC AA 2019044, JCM 33461)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_009760925

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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