Cite this strain

Actinomadura litoris (CCTCC AA 2019043, JCM 33456)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164564

Type strain

Culture col. no. CCTCC AA 2019043 JCM 33456

NCBI tax ID(s) 2678616

Special Collections JCM

Links

Name and taxonomic classification

Actinomadura litoris JCM 33456 is a spore-forming, mesophilic bacterium that was isolated from Sandy soil from Niuwang island in Sanya.

spore-forming mesophilic genome sequence 16S sequence Bacteria

Culture Collection Numbers

CCTCC AA 2019043 JCM 33456

Last LPSN update 2024-12-09 10:52:47

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Streptosporangiales

Family Thermomonosporaceae

Genus Actinomadura

Species Actinomadura litoris

Full scientific name Actinomadura litoris Cao et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	99.6
125439		91.7

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Observation

67770

Observationquinones: MK-9(H₄), MK-9(H₆), MK-9(H₈)

Spore formation

@ref	Spore formation	Confidence
125439		95.8

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	96.6

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Sandy soil from Niuwang island in Sanya	Hainan Province	China	CHN	Asia

Safety information

Sequence information

GC content

@ref	GC-content (mol%)	Method
67770	72.8	genome sequence analysis

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Actinomadura litoris strain NEAU-AAG5 16S ribosomal RNA gene, partial sequence	MN700217	1508		2678616

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
67770	Actinomadura litoris NEAU-AAG5	GCA_009733595	scaffold		2678616

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Actinomadura litoris NEAU-AAG5
NCBI: GCA_009733595

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	95.80	no
125439	motility	BacteriaNetⓘ	no	91.70	no
125439	gram_stain	BacteriaNetⓘ	positive	99.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	96.60	no

Predictions from Diaspora project based on:
Actinomadura litoris NEAU-AAG5
NCBI: GCA_009733595.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.74	no
125438	anaerobic	anaerobicⓘ	no	95.38	no
125438	aerobic	aerobicⓘ	yes	87.92	no
125438	spore-forming	spore-formingⓘ	yes	86.08	no
125438	thermophilic	thermophileⓘ	no	93.77	yes
125438	flagellated	motile2+ⓘ	no	89.00	no

External links

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Actinomadura litoris sp. nov., an actinobacterium isolated from sandy soil in Sanya.	Cao P, Xu X, Li C, Han L, Mu W, Xiang W, Zhao J, Wang X	Int J Syst Evol Microbiol	10.1099/ijsem.0.004708	2021

Culture collection no.

Culture collection no.
CCTCC AA 2019043
JCM 33456

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 .

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