Aestuariispira insulae (CECT 8488, KCTC 32577, AH-MY2)

Name: Aestuariispira insulae (CECT 8488, KCTC 32577, AH-MY2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168925

Type strain

Strain Designation AH-MY2

Culture col. no. CECT 8488 KCTC 32577 AH-MY2

NCBI tax ID(s) 1461337

Special Collections KCTC

Links

Aestuariispira insulae AH-MY2 is a bacterium of the family Aestuariispiraceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 394286

KCTC 32577,CECT 8488

@ref 20215

Last LPSN update 2026-05-29 08:46:29

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Aestuariispiraceae

Genus Aestuariispira

Species Aestuariispira insulae

Full scientific name Aestuariispira insulae Park et al. 2014

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.3

Culture and growth conditions

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		93.016

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20215	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM338595v1 assembly for Aestuariispira insulae CECT 8488	scaffold	GCA_003385955	1461337.4	2770939574	1461337	68.08

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Aestuariispira insulae strain AH-MY2 from South Korea 16S ribosomal RNA gene, partial sequence	KF876014	1417		1461337

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM338595v1 assembly for Aestuariispira insulae CECT 8488
BV-BRC: 1461337.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	93.02	no
125439	motility	BacteriaNetⓘ	yes	55.98	no
125439	gram_stain	BacteriaNetⓘ	negative	83.71	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	85.86	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aestuariispira insulae CECT 8488
NCBI: GCA_003385955.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.30	no
125438	anaerobic	anaerobicⓘ	no	91.11	no
125438	aerobic	aerobicⓘ	yes	74.19	no
125438	spore-forming	spore-formingⓘ	no	88.90	no
125438	thermophilic	thermophileⓘ	no	94.41	no
125438	flagellated	motile2+ⓘ	yes	86.36	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Pacificispira spongiicola gen. nov., sp. nov., a nitrate-reducing bacterium isolated from tropical western Pacific.	He W, Li Y, Zhang D	Antonie Van Leeuwenhoek	10.1007/s10482-021-01662-z	2021
Phylogeny	Curvivirga aplysinae gen. nov., sp. nov., a marine bacterium isolated from the sea sponge Aplysina fistularis.	Goldberg SR, Haltli BA, Correa H, Kerr RG	Int J Syst Evol Microbiol	10.1099/ijsem.0.004873	2021
Phylogeny	Aestuariispira insulae gen. nov., sp. nov., a lipolytic bacterium isolated from a tidal flat.	Park S, Park JM, Kang CH, Yoon JH	Int J Syst Evol Microbiol	10.1099/ijs.0.060772-0	2014
Phylogeny	Identification and characterization of an ectoine biosynthesis gene cluster from Aestuariispira ectoiniformans sp. nov., isolated from seawater.	Kang JY, Lee B, Kim JA, Kim MS, Kim CH	Microbiol Res	10.1016/j.micres.2021.126898	2021

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) .
#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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Aestuariispira insulae (CECT 8488, KCTC 32577, AH-MY2)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003385955

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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