Spiroplasma culicicola (DSM 19754, ATCC 35112, AES-1)

Name: Spiroplasma culicicola (DSM 19754, ATCC 35112, AES-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14354

Type strain

Strain Designation AES-1

Culture col. no. DSM 19754 ATCC 35112 AES-1

NCBI tax ID(s) 1276246 216935

Special Collections DSMZ

History DSMZ <- J. Davis <- R. F. Whitcomb <- T. A. Chen; AES-1

Links

Spiroplasma culicicola AES-1 is a microaerophile bacterium that was isolated from salt marsh mosquito.

microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 40876

ATCC 35112,DSM 19754

@ref 20215

Last LPSN update 2026-05-29 08:28:16

Domain Bacteria

Phylum Mycoplasmatota

Class Mollicutes

Order Mycoplasmatales

Family Spiroplasmataceae

Genus Spiroplasma

Species Spiroplasma culicicola

Full scientific name Spiroplasma culicicola Hung et al. 1987

Morphology

Cell morphology

@ref	Motility	Confidence
125438		94.662

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8294	SP4-Z MEDIUM (DSMZ Medium 1076b)		Medium recipe at MediaDive	Name: SP4-Z MEDIUM (DSMZ Medium 1076b) Composition: Agar 10.0 g/l Tryptone 10.0 g/l Bacto peptone 5.0 g/l PPLO broth 3.5 g/l Urea 2.0 g/l Glucose 1.0 g/l None 1.0 g/l Yeast extract 0.4 g/l DNA 0.2 g/l CMRL 1066 Fetal bovine serum Swine serum Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
8294	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8294	microaerophile
125439	facultative anaerobe	97.52

Spore formation

@ref	Spore formation	Confidence
125438		93.849
125439		94.021

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	palmitate biosynthesis	77.27	17 of 22
66794	ppGpp biosynthesis	75	3 of 4
66794	photosynthesis	71.43	10 of 14
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	UDP-GlcNAc biosynthesis	66.67	2 of 3
66794	glycolysis	64.71	11 of 17
66794	d-mannose degradation	55.56	5 of 9
66794	aspartate and asparagine metabolism	55.56	5 of 9
66794	NAD metabolism	55.56	10 of 18
66794	oxidative phosphorylation	52.75	48 of 91
66794	glycine metabolism	50	5 of 10
66794	ketogluconate metabolism	50	4 of 8
66794	adipate degradation	50	1 of 2
66794	acetate fermentation	50	2 of 4
66794	sulfopterin metabolism	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	Entner Doudoroff pathway	50	5 of 10
66794	purine metabolism	45.74	43 of 94
66794	serine metabolism	44.44	4 of 9
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	pyrimidine metabolism	42.22	19 of 45
66794	methylglyoxal degradation	40	2 of 5
66794	cellulose degradation	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	vitamin B1 metabolism	38.46	5 of 13
66794	gluconeogenesis	37.5	3 of 8
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	37.5	3 of 8
66794	metabolism of disaccharids	36.36	4 of 11
66794	d-xylose degradation	36.36	4 of 11
66794	pentose phosphate pathway	36.36	4 of 11
66794	lipid metabolism	35.48	11 of 31
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	glycolate and glyoxylate degradation	33.33	2 of 6
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	formaldehyde oxidation	33.33	1 of 3
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	acetoin degradation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	glutamate and glutamine metabolism	32.14	9 of 28
66794	degradation of sugar alcohols	31.25	5 of 16
66794	methionine metabolism	30.77	8 of 26
66794	phenylalanine metabolism	30.77	4 of 13
66794	isoprenoid biosynthesis	30.77	8 of 26
66794	propanol degradation	28.57	2 of 7
66794	glutathione metabolism	28.57	4 of 14
66794	reductive acetyl coenzyme A pathway	28.57	2 of 7
66794	tyrosine metabolism	28.57	4 of 14
66794	tetrahydrofolate metabolism	28.57	4 of 14
66794	flavin biosynthesis	26.67	4 of 15
66794	non-pathway related	26.32	10 of 38
66794	degradation of aromatic, nitrogen containing compounds	25	3 of 12
66794	butanoate fermentation	25	1 of 4
66794	glycogen biosynthesis	25	1 of 4
66794	degradation of pentoses	25	7 of 28
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	C4 and CAM-carbon fixation	25	2 of 8
66794	alanine metabolism	24.14	7 of 29
66794	sulfate reduction	23.08	3 of 13
66794	lipid A biosynthesis	22.22	2 of 9
66794	cysteine metabolism	22.22	4 of 18
66794	citric acid cycle	21.43	3 of 14

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Salt marsh
#Host	#Arthropoda	#Insecta

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
8294	salt marsh mosquito	USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence AY189129 (>99% sequence identity) for Spiroplasma culicicola from Microbeatlas

Aquatic Samples	0
Soil Samples	0
Animal Samples	2
Plant Samples	0
Total Samples	2

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8294	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM56517v1 assembly for Spiroplasma culicicola AES-1	complete	GCA_000565175	1276246.3	2558860239	1276246	97.82

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
8294	Spiroplasma culicicola 16S ribosomal RNA gene, partial sequence	AY189129	1515		1276246

GC content

8294

GC-content (mol%)26

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM56517v1 assembly for Spiroplasma culicicola AES-1
BV-BRC: 1276246.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	97.52	no
125439	gram_stain	BacteriaNetⓘ	positive	49.64	no
125439	spore_formation	BacteriaNetⓘ	no	94.02	no
125439	motility	BacteriaNetⓘ	no	60.38	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Spiroplasma culicicola AES-1 AES-1
NCBI: GCA_000565175.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	76.71	no
125438	anaerobic	anaerobicⓘ	no	84.89	yes
125438	aerobic	aerobicⓘ	no	93.94	yes
125438	spore-forming	spore-formingⓘ	no	93.85	no
125438	thermophilic	thermophileⓘ	no	97.91	no
125438	flagellated	motile2+ⓘ	no	94.66	no

Literature

References

#8294	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19754
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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 .
#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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