Roseospira goensis (DSM 18985, ATCC BAA-1364, JCM 14191)

Name: Roseospira goensis (DSM 18985, ATCC BAA-1364, JCM 14191)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13962

Type strain

Strain Designation JA135

Culture col. no. DSM 18985 ATCC BAA-1364 JCM 14191 JA135

NCBI tax ID(s) 391922

Special Collections DSMZ JCM Literature strains

History <- C. Sasikala, Bacterial Discovery Lab., Centre Environment, Inst. Sci. and Technol., J. N. T. Univ., Hyderabad, India; JA135 <- S. K. Chakravarthy, School of Life Sci., J. N. T. Univ., Hyderabad, India Ch. Sasikala JA135.

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Roseospira goensis JA135 is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from sediment samples from the marine saltern Kurka .

Gram-negative motile spiral-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 319390

ATCC BAA-1364,JCM 14191,DSM 18985

@ref 20215

Last LPSN update 2025-12-16 09:50:13

Domain Pseudomonadati

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodospirillales

Family Rhodospirillaceae

Genus Roseospira

Species Roseospira goensis

Full scientific name Roseospira goensis Kalyan Chakravarthy et al. 2007

Synonyms (1)

"Rhodospira goensis"

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
32197	negative	5.5 µm	0.9 µm	spiral-shaped
125439	negative				94.7
125438	negative				98.5

Pigmentation

32197

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
32197	positive	growth	25-35	mesophilic
32197	positive	optimum	30	mesophilic
67770	positive	growth	28	mesophilic

Culture pH

@ref	Ability	Type	PH
32197	positive	optimum	7.5
32197	positive	growth	07-08

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
7816	anaerobe
32197	facultative aerobe
125439	obligate aerobe	95

Spore formation

@ref	Spore formation	Confidence
125439		96.1

Halophily

@ref	Salt	Growth	Tested relation	Concentration
32197	NaCl	positive	growth	01-05 %
32197	NaCl	positive	optimum	2 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32197	30089 ChEBI	acetate	+	carbon source
32197	15740 ChEBI	formate	+	carbon source
32197	17234 ChEBI	glucose	+	carbon source
32197	17754 ChEBI	glycerol	+	carbon source
32197	24996 ChEBI	lactate	+	carbon source
32197	25115 ChEBI	malate	+	carbon source
32197	15361 ChEBI	pyruvate	+	carbon source
32197	31011 ChEBI	valerate	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine
#Environmental	#Aquatic	#Sediment
#Condition	#Saline	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
7816	sediment samples from the marine saltern Kurka (15° 29' N 73° 49' E)	West coast, Arabian Sea, Goa	India	IND	Asia
67770	Sediment samples from a marine saltern, Goa, facing the Arabian sea on the West coast of India		Indian Ocean

Taxonmaps

69479

Global distribution of 16S sequence AM283537 (>99% sequence identity) for Roseospira goensis subclade from Microbeatlas

Aquatic Samples	5
Soil Samples	2
Animal Samples
Plant Samples
Total Samples	7

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7816	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	ASM1419779v1 assembly for Roseospira goensis JA135	scaffold	GCA_014197795	391922.3	2838110688	391922	60.74

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7816	Roseospira goensis partial 16S rRNA gene, strain JA135T	AM283537	1404		391922
67770	Roseospira goensis gene for 16S ribosomal RNA, partial sequence, strain: JCM 14191	LC311072	1418		391922

GC content

@ref	GC-content (mol%)	Method
7816	71.0
32197	71
67770	71	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Roseospira goensis JA135
NCBI: GCA_014197795

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.10	no
125439	motility	BacteriaNetⓘ	yes	74.90	no
125439	gram_stain	BacteriaNetⓘ	negative	94.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Roseospira goensis JA135
NCBI: GCA_014197795.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	yes
125438	anaerobic	anaerobicⓘ	no	61.51	no
125438	aerobic	aerobicⓘ	no	62.73	yes
125438	spore-forming	spore-formingⓘ	no	87.13	no
125438	thermophilic	thermophileⓘ	no	90.72	yes
125438	flagellated	motile2+ⓘ	yes	78.56	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Autotrophic bacterial production of polyhydroxyalkanoates using carbon dioxide as a sustainable carbon source.	Sathiyanarayanan G, Esteves S.	Front Bioeng Biotechnol	10.3389/fbioe.2025.1545438	2025
Phylogeny	Roseospira visakhapatnamensis sp. nov. and Roseospira goensis sp. nov.	Kalyan Chakravarthy S, Srinivas TNR, Anil Kumar P, Sasikala C, Ramana CV	Int J Syst Evol Microbiol	10.1099/ijs.0.65105-0	2007

References

#7816	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18985
#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 )
#28439	IJSEM 2453 2007 ( DOI 10.1099/ijs.0.65105-0 , PubMed 17978198 )
#32197	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #28439
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Roseospira goensis (DSM 18985, ATCC BAA-1364, JCM 14191)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014197795

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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