Tamilnaduibacter salinus (DSM 28688, MTCC 12009, Mi 7)

Name: Tamilnaduibacter salinus (DSM 28688, MTCC 12009, Mi 7)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 131454

Type strain

Strain Designation Mi 7, Mi-7

Culture col. no. DSM 28688 MTCC 12009 Mi 7 Mi-7 JCM 30174

NCBI tax ID(s) 1484056

Special Collections DSMZ JCM

History <- S. Krishnamurthi, MTCC; Mi 7 S. Krishnamurthi; MTCC, India; Mi-7.

Links

Tamilnaduibacter salinus Mi 7 is a mesophilic prokaryote that was isolated from sediment from a salt pan .

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 133557

JCM 30174

@ref 20215

Last LPSN update 2026-02-09 11:31:28

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Alteromonadales

Family Alteromonadaceae

Genus Tamilnaduibacter

Species Tamilnaduibacter salinus

Full scientific name Tamilnaduibacter salinus Verma et al. 2015

BacDive ID	Other strains from **Tamilnaduibacter salinus** (1)	Type strain
163728	T. salinus JCM 30175, MTCC 12010

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.994
125439	negative	98.6

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		99.1

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cardiolipin biosynthesis	100	7 of 7
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	denitrification	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	valine metabolism	100	9 of 9
66794	coenzyme A metabolism	100	4 of 4
66794	adipate degradation	100	2 of 2
66794	aspartate and asparagine metabolism	100	9 of 9
66794	octane oxidation	100	3 of 3
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	formaldehyde oxidation	100	3 of 3
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	tetrahydrofolate metabolism	100	14 of 14
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	aerobactin biosynthesis	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	ubiquinone biosynthesis	100	7 of 7
66794	threonine metabolism	90	9 of 10
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	gluconeogenesis	87.5	7 of 8
66794	heme metabolism	85.71	12 of 14
66794	photosynthesis	85.71	12 of 14
66794	glutamate and glutamine metabolism	85.71	24 of 28
66794	leucine metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	vitamin B6 metabolism	81.82	9 of 11
66794	peptidoglycan biosynthesis	80	12 of 15
66794	propionate fermentation	80	8 of 10
66794	citric acid cycle	78.57	11 of 14
66794	serine metabolism	77.78	7 of 9
66794	vitamin B1 metabolism	76.92	10 of 13
66794	phenylalanine metabolism	76.92	10 of 13
66794	glycogen biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	biotin biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	lipid metabolism	74.19	23 of 31
66794	flavin biosynthesis	73.33	11 of 15
66794	proline metabolism	72.73	8 of 11
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	glutathione metabolism	71.43	10 of 14
66794	urea cycle	69.23	9 of 13
66794	purine metabolism	69.15	65 of 94
66794	alanine metabolism	68.97	20 of 29
66794	methane metabolism	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	methionine metabolism	65.38	17 of 26
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	arginine metabolism	62.5	15 of 24
66794	sulfate reduction	61.54	8 of 13
66794	cysteine metabolism	61.11	11 of 18
66794	phenylacetate degradation (aerobic)	60	3 of 5
66794	Entner Doudoroff pathway	60	6 of 10
66794	cellulose degradation	60	3 of 5
66794	lipoate biosynthesis	60	3 of 5
66794	hydrogen production	60	3 of 5
66794	lysine metabolism	59.52	25 of 42
66794	tryptophan metabolism	57.89	22 of 38
66794	pyrimidine metabolism	57.78	26 of 45
66794	propanol degradation	57.14	4 of 7
66794	oxidative phosphorylation	57.14	52 of 91
66794	nitrate assimilation	55.56	5 of 9
66794	non-pathway related	55.26	21 of 38
66794	glycolysis	52.94	9 of 17
66794	histidine metabolism	51.72	15 of 29
66794	toluene degradation	50	2 of 4
66794	pantothenate biosynthesis	50	3 of 6
66794	cyclohexanol degradation	50	2 of 4
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	selenocysteine biosynthesis	50	3 of 6
66794	phenylmercury acetate degradation	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	ethanol fermentation	50	1 of 2
66794	ketogluconate metabolism	50	4 of 8
66794	arachidonic acid metabolism	44.44	8 of 18
66794	d-mannose degradation	44.44	4 of 9
66794	factor 420 biosynthesis	40	2 of 5
66794	O-antigen biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	vitamin K metabolism	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	degradation of hexoses	38.89	7 of 18
66794	phosphatidylethanolamine bioynthesis	38.46	5 of 13
66794	isoprenoid biosynthesis	38.46	10 of 26
66794	degradation of sugar alcohols	37.5	6 of 16
66794	carnitine metabolism	37.5	3 of 8
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	tyrosine metabolism	35.71	5 of 14
66794	polyamine pathway	34.78	8 of 23
66794	sphingosine metabolism	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	glycolate and glyoxylate degradation	33.33	2 of 6
66794	degradation of pentoses	32.14	9 of 28
66794	ascorbate metabolism	31.82	7 of 22
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	pentose phosphate pathway	27.27	3 of 11
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	lactate fermentation	25	1 of 4
66794	4-hydroxymandelate degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Sediment
#Condition	#Saline	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
22681	sediment from a salt pan (red pigmented water sample)	Tamilnadu, Kanyakumari district, Thamaraikulam solar salt pan (8° 07'08.92'' N 77° 29' 04.15'' E)	India	IND	Asia	8.1191	77.4845 8.1191/77.4845
67770	Salt pan in the state of Tamilnadu		India	IND	Asia

Taxonmaps

69479

Global distribution of 16S sequence HG969252 (>99% sequence identity) for Tamilnaduibacter salinus subclade from Microbeatlas

Aquatic Samples	591
Soil Samples	47
Animal Samples	30
Plant Samples	7
Total Samples	675

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM309665v1 assembly for Tamilnaduibacter salinus DSM 28688	scaffold	GCA_003096655	1484056.5	2756170269	1484056	72.46
67770	ASM228735v1 assembly for Tamilnaduibacter salinus Mi-7	contig	GCA_002287355	1484056.3	2920074156	1484056	32.44

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22681	Tamilnaduibacter salinus partial 16S rRNA gene, type strain Mi 7T	HG969252	1474		1484056

GC content

@ref	GC-content (mol%)	Method
22681	65	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Tamilnaduibacter salinus DSM 28688
NCBI: GCA_003096655

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.10	no
125439	motility	BacteriaNetⓘ	yes	86.40	no
125439	gram_stain	BacteriaNetⓘ	negative	98.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	80.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Tamilnaduibacter salinus strain DSM 28688
PATRIC: 1484056.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.99	no
125438	anaerobic	anaerobicⓘ	no	96.12	no
125438	spore-forming	spore-formingⓘ	no	87.08	no
125438	aerobic	aerobicⓘ	yes	85.34	no
125438	thermophilic	thermophileⓘ	no	97.31	no
125438	flagellated	motile2+ⓘ	yes	86.95	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Tamilnaduibacter salinus gen. nov., sp. nov., a halotolerant gammaproteobacterium within the family Alteromonadaceae, isolated from a salt pan in Tamilnadu, India.	Verma A, Mual P, Mayilraj S, Krishnamurthi S	Int J Syst Evol Microbiol	10.1099/ijsem.0.000401	2015

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 )
#22681	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 28688
#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 )
#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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Tamilnaduibacter salinus (DSM 28688, MTCC 12009, Mi 7)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Spore formation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003096655

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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