Pseudomonas fluvialis (KCTC 52437, CCM 8778, ASS-1)

Name: Pseudomonas fluvialis (KCTC 52437, CCM 8778, ASS-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158598

Type strain

Strain Designation ASS-1

Culture col. no. KCTC 52437 CCM 8778 ASS-1

NCBI tax ID(s) 1793966

Special Collections KCTC Literature strains

Links

Pseudomonas fluvialis ASS-1 is an aerobe, Gram-negative, motile prokaryote that forms circular colonies and was isolated from sediment samples.

Gram-negative motile rod-shaped colony-forming aerobe genome sequence 16S sequence

Name and taxonomic classification

SI-ID 25139

KCTC 52437

@ref 20215

Last LPSN update 2025-12-16 10:08:03

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Species Pseudomonas fluvialis

Full scientific name Pseudomonas fluvialis Sudan et al. 2018

Synonyms (4)

"Caenipseudomonas fluvialis"
Pseudomonas pharmacofabricae
Pseudomonas pharmafabricae
"Caenipseudomonas pharmacofabricae"

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Flagellum arrangement	Confidence
65314	negative	0.8-1.5 µm	0.1-0.2 µm	rod-shaped	monotrichous, polar
125438	negative					99
125439	negative					100
125439						97.7

Colony morphology

@ref	Colony color	Colony shape	Medium used
65314	yellow	circular	tryptic soy agar

Culture and growth conditions

Culture medium

@ref	Name	Growth
65314	tryptic soy agar

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
65314	positive	growth	15-42
65314	positive	optimum	25-30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
65314	positive	optimum	7-8
65314	positive	growth	5-12	alkaliphile

Physiology and metabolism

Oxygen tolerance

65314

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
125438		91.873
125439		99.8

Halophily

@ref	Salt	Growth	Tested relation	Concentration
65314	NaCl	positive	growth	0-2 %
65314	NaCl		growth	5 %
65314	NaCl		growth	7 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
65314	17128 ChEBI	adipate	-	assimilation
65314	27613 ChEBI	amygdalin	-	assimilation
65314		casein	-	hydrolysis
65314	16947 ChEBI	citrate	-	assimilation
65314	17634 ChEBI	D-glucose	-	assimilation
65314	16899 ChEBI	D-mannitol	-	assimilation
65314	16024 ChEBI	D-mannose	-	assimilation
65314	63150 ChEBI	D-rhamnose	-	assimilation
65314	27689 ChEBI	decanoate	+	assimilation
65314		esculin ferric citrate	-	assimilation
65314	5291 ChEBI	gelatin	-	assimilation
65314	17234 ChEBI	glucose	-	fermentation
65314	30849 ChEBI	L-arabinose	-	assimilation
65314	18019 ChEBI	L-lysine	-	assimilation
65314	15729 ChEBI	L-ornithine	-	assimilation
65314	25115 ChEBI	malate	+	assimilation
65314	28053 ChEBI	melibiose	-	assimilation
65314	17268 ChEBI	myo-inositol	-	assimilation
65314	506227 ChEBI	N-acetylglucosamine	-	assimilation
65314	17632 ChEBI	nitrate	-	reduction
65314	18401 ChEBI	phenylacetate	-	assimilation
65314	30911 ChEBI	sorbitol	-	assimilation
65314	28017 ChEBI	starch	+	hydrolysis
65314	17992 ChEBI	sucrose	-	assimilation
65314	16199 ChEBI	urea	-	assimilation

Metabolite production

@ref	Chebi-ID	Metabolite
65314	15688 ChEBI	acetoin
65314	16136 ChEBI	hydrogen sulfide
65314	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test	Methylred-test
65314	15688 ChEBI	acetoin	-
65314	17234 ChEBI	glucose		-

Enzymes

@ref	Value	Activity	Ec
65314	alpha-fucosidase	-	3.2.1.51
65314	alpha-galactosidase	-	3.2.1.22
65314	alpha-glucosidase	-	3.2.1.20
65314	alpha-mannosidase	-	3.2.1.24
65314	beta-galactosidase	-	3.2.1.23
65314	beta-glucosidase	-	3.2.1.21
65314	beta-glucuronidase	-	3.2.1.31
65314	catalase	+	1.11.1.6
65314	cystine arylamidase	-	3.4.11.3
65314	cytochrome oxidase	+	1.9.3.1
65314	esterase (C 4)	+
65314	esterase Lipase (C 8)	+
65314	leucine arylamidase	+	3.4.11.1
65314	lipase (C 14)	+
65314	N-acetyl-beta-glucosaminidase	-	3.2.1.52
65314	naphthol-AS-BI-phosphohydrolase	+
65314	urease	-	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Enrichment culture	Enrichment culture temperature	Isolation procedure
65314	sediment samples	river Ganges, Triveni Sangam, Allahabad	India	IND	Asia	25.4291	81.8936 25.4291/81.8936	tryptic soy agar	30	serial dilution method

Taxonmaps

69479

Global distribution of 16S sequence KU248754 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	2405
Soil Samples	394
Animal Samples	986
Plant Samples	112
Total Samples	3897

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1463562v1 assembly for Pseudomonas fluvialis CCM 8778	contig	GCA_014635625	1793966.11	8112513329	1793966	68.29
66792	ASM223437v1 assembly for Pseudomonas fluvialis ASS-1	contig	GCA_002234375	1793966.3	2791355545	1793966	62.94

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65314	Pseudomonas fluvialis strain ASS-1 16S ribosomal RNA gene, partial sequence	KU248754
124043	Pseudomonas fluvialis strain CCM 8778 16S ribosomal RNA gene, partial sequence.	MT760250	1366		1793966

GC content

@ref	GC-content (mol%)	Method
65314	62.7	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudomonas fluvialis CCM 8778
NCBI: GCA_014635625

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.80	no
125439	motility	BacteriaNetⓘ	yes	97.70	no
125439	gram_stain	BacteriaNetⓘ	negative	100.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	76.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas fluvialis strain CCM 8778
PATRIC: 1793966.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	yes
125438	anaerobic	anaerobicⓘ	no	94.58	yes
125438	spore-forming	spore-formingⓘ	no	91.87	no
125438	aerobic	aerobicⓘ	yes	79.54	yes
125438	thermophilic	thermophileⓘ	no	98.96	no
125438	flagellated	motile2+ⓘ	yes	88.40	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phylogenomics studies and molecular markers reliably demarcate genus Pseudomonas sensu stricto and twelve other Pseudomonadaceae species clades representing novel and emended genera.	Rudra B, Gupta RS.	Front Microbiol	10.3389/fmicb.2023.1273665	2023
Phylogeny	Pseudomonas mangrovi sp. nov., isolated from mangrove soil.	Ye Y, Chen C, Ren Y, Wang R, Zhang C, Han S, Ju Z, Zhao Z, Sun C, Wu M	Int J Syst Evol Microbiol	10.1099/ijsem.0.003141	2019
Phylogeny	Pseudomonas fluvialis sp. nov., a novel member of the genus Pseudomonas isolated from the river Ganges, India.	Sudan SK, Pal D, Bisht B, Kumar N, Chaudhry V, Patil P, Sahni G, Mayilraj S, Krishnamurthi S	Int J Syst Evol Microbiol	10.1099/ijsem.0.002520	2017

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 )
#65314	Sarabjeet Kour Sudan, Deepika Pal, Bhawana Bisht, Narender Kumar, Vasvi Chaudhry, Prabhu Patil, Girish Sahni, Shanmugam Mayilraj, Srinivasan Krishnamurthi: Pseudomonas fluvialis sp. nov., a novel member of the genus Pseudomonas isolated from the river Ganges, India. IJSEM 68: 402 - 408 2018 ( DOI 10.1099/ijsem.0.002520 , PubMed 29239716 )
#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) .
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Pseudomonas fluvialis (KCTC 52437, CCM 8778, ASS-1)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_014635625

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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