Photobacterium salinisoli (ACCC 19961, JCM 30852, LAM 9072)

Name: Photobacterium salinisoli (ACCC 19961, JCM 30852, LAM 9072)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163887

Type strain

Culture col. no. ACCC 19961 JCM 30852 LAM 9072

NCBI tax ID(s) 1616783

Special Collections JCM Literature strains

Links

Photobacterium salinisoli JCM 30852 is an aerobe, mesophilic, Gram-negative prokaryote that forms irregular colonies and was isolated from Sulfonylurea herbicide degrading consortium enriched with saline soil collected from Lingxian County.

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

Name and taxonomic classification

SI-ID 131894

JCM 30852

@ref 20215

Last LPSN update 2025-12-16 10:09:19

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order "Vibrionales"

Family Vibrionaceae

Genus Photobacterium

Species Photobacterium salinisoli

Full scientific name Photobacterium salinisoli Li et al. 2019

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape
68244	negative	1-2.5 µm	0.5-0.8 µm	rod-shaped
125439	negative
125438	negative

Colony morphology

@ref	Colony color	Colony shape	Incubation period	Medium used
68244	light brown	irregular	3 days	Marine agar (MA)

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	35	mesophilic
68244	positive	growth	10-40
68244	positive	optimum	35	mesophilic

Culture pH

@ref	Ability	Type	PH
68244	positive	optimum	7
68244	positive	growth	6-11

Physiology and metabolism

Oxygen tolerance

68244

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
125438		90.784

Halophily

@ref	Salt	Growth	Tested relation	Concentration
68244	NaCl	positive	growth	0-9 %(w/v)
68244	NaCl	positive	optimum	2 %(w/v)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68244	17128 ChEBI	adipate	-	assimilation
68244	27613 ChEBI	amygdalin	-	builds acid from
68244	22599 ChEBI	arabinose	-	assimilation
68244	18305 ChEBI	arbutin	-	builds acid from
68244		casein	-	hydrolysis
68244	17057 ChEBI	cellobiose	-	builds acid from
68244	16947 ChEBI	citrate	+	assimilation
68244	17108 ChEBI	D-arabinose	-	builds acid from
68244	18333 ChEBI	D-arabitol	-	builds acid from
68244	15824 ChEBI	D-fructose	+	builds acid from
68244	28847 ChEBI	D-fucose	-	builds acid from
68244	12936 ChEBI	D-galactose	-	builds acid from
68244	17634 ChEBI	D-glucose	+	fermentation
68244	17634 ChEBI	D-glucose	+	builds acid from
68244	62318 ChEBI	D-lyxose	-	builds acid from
68244	16899 ChEBI	D-mannitol	+	builds acid from
68244	16024 ChEBI	D-mannose	-	builds acid from
68244	16988 ChEBI	D-ribose	-	builds acid from
68244	17924 ChEBI	D-sorbitol	-	builds acid from
68244	16443 ChEBI	D-tagatose	-	builds acid from
68244	65327 ChEBI	D-xylose	+	builds acid from
68244	17113 ChEBI	erythritol	-	builds acid from
68244	4853 ChEBI	esculin	-	hydrolysis
68244		esculin ferric citrate	-	builds acid from
68244	16813 ChEBI	galactitol	-	builds acid from
68244	5291 ChEBI	gelatin	-	hydrolysis
68244	28066 ChEBI	gentiobiose	-	builds acid from
68244	24265 ChEBI	gluconate	+	assimilation
68244	17234 ChEBI	glucose	+	assimilation
68244	17754 ChEBI	glycerol	-	builds acid from
68244	28087 ChEBI	glycogen	-	builds acid from
68244	17120 ChEBI	hexanoate	-	assimilation
68244	15443 ChEBI	inulin	-	builds acid from
68244	30849 ChEBI	L-arabinose	-	builds acid from
68244	18403 ChEBI	L-arabitol	-	builds acid from
68244	18287 ChEBI	L-fucose	-	builds acid from
68244	62345 ChEBI	L-rhamnose	-	builds acid from
68244	17266 ChEBI	L-sorbose	-	builds acid from
68244	65328 ChEBI	L-xylose	-	builds acid from
68244	17716 ChEBI	lactose	-	builds acid from
68244	25115 ChEBI	malate	+	assimilation
68244	17306 ChEBI	maltose	+	assimilation
68244	17306 ChEBI	maltose	+	builds acid from
68244	29864 ChEBI	mannitol	+	assimilation
68244	37684 ChEBI	mannose	-	assimilation
68244	6731 ChEBI	melezitose	-	builds acid from
68244	28053 ChEBI	melibiose	-	builds acid from
68244	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from
68244	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from
68244	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from
68244	17268 ChEBI	myo-inositol	-	builds acid from
68244	506227 ChEBI	N-acetyl-D-glucosamine	+	assimilation
68244	59640 ChEBI	N-acetylglucosamine	+	builds acid from
68244	17632 ChEBI	nitrate	-	reduction
68244	18401 ChEBI	phenylacetate	-	assimilation
68244		potassium 2-dehydro-D-gluconate	-	builds acid from
68244		potassium 5-dehydro-D-gluconate	-	builds acid from
68244	32032 ChEBI	potassium gluconate	-	builds acid from
68244	16634 ChEBI	raffinose	-	builds acid from
68244	15963 ChEBI	ribitol	-	builds acid from
68244	17814 ChEBI	salicin	-	builds acid from
68244	28017 ChEBI	starch	+	hydrolysis
68244	28017 ChEBI	starch	+/-	builds acid from
68244	17992 ChEBI	sucrose	+	builds acid from
68244	27082 ChEBI	trehalose	+	builds acid from
68244	32528 ChEBI	turanose	-	builds acid from
68244	53424 ChEBI	tween 20	+	hydrolysis
68244	53425 ChEBI	tween 60	+	hydrolysis
68244	53426 ChEBI	tween 80	+	hydrolysis
68244	17151 ChEBI	xylitol	-	builds acid from

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68244	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
68244	acid phosphatase	+	3.1.3.2
68244	alkaline phosphatase	+	3.1.3.1
68244	alpha-fucosidase	-	3.2.1.51
68244	alpha-galactosidase	-	3.2.1.22
68244	alpha-glucosidase	+	3.2.1.20
68244	alpha-mannosidase	-	3.2.1.24
68244	arginine dihydrolase	-	3.5.3.6
68244	beta-galactosidase	-	3.2.1.23
68244	beta-glucosidase	-	3.2.1.21
68244	beta-glucuronidase	-	3.2.1.31
68244	catalase	+	1.11.1.6
68244	chymotrypsin	-	3.4.4.5
68244	cystine arylamidase	+/-	3.4.11.3
68244	cytochrome oxidase	-	1.9.3.1
68244	esterase (C 4)	+
68244	esterase Lipase (C 8)	+
68244	gelatinase	+
68244	leucine arylamidase	+	3.4.11.1
68244	lipase (C 14)	+/-
68244	N-acetyl-beta-glucosaminidase	+	3.2.1.52
68244	naphthol-AS-BI-phosphohydrolase	+/-
68244	trypsin	-	3.4.21.4
68244	urease	-	3.5.1.5
68244	valine arylamidase	+

Fatty acid profile

Metadata FA analysis

@ref

68244

Fatty acid	Percentage
C16:1 w7c/C16:1 w6c	36.1
C16:0	19.4
C18:1 w7c/C18:1 w6c	13.2
C12:0	8.1
C12:0 3OH	5.7
C14:0 3OH/iso-C16:1 I	5.3
C17:0	2.5
C17:1 w8c	1.7
C15:0 iso	1.7
C14:0	1
C17:0 iso	0.9
C15:1 iso H / C13:0 3OH	0.7
C15:1 w8c	0.7
C11:0	0.5

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Sulfonylurea herbicide degrading consortium enriched with saline soil collected from Lingxian County	Shandong Province	China	CHN	Asia
68244	sulfonylurea herbicide-degrading consortium enriched with saline soil	Lingxian County, Shandong Province	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence KP054474 (>99% sequence identity) for Photobacterium galatheae from Microbeatlas

Aquatic Samples	167
Soil Samples	38
Animal Samples	153
Plant Samples	1
Total Samples	359

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM361488v1 assembly for Photobacterium salinisoli LAM9072	contig	GCA_003614885	1616783.3	2855133527	1616783	68.87

Genome browser: GCA_003614885

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
68244	Photobacterium salinisoli strain LAM9072 16S ribosomal RNA gene, partial sequence	KP054474	1457		1616783

GC content

@ref	GC-content (mol%)	Method
68244	50.2	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Photobacterium salinisoli LAM9072
NCBI: GCA_003614885

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	89.30	no
125439	motility	BacteriaNetⓘ	yes	84.40	no
125439	gram_stain	BacteriaNetⓘ	negative	96.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	81.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Photobacterium salinisoli LAM9072
NCBI: GCA_003614885.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	yes
125438	anaerobic	anaerobicⓘ	no	95.04	no
125438	aerobic	aerobicⓘ	no	53.68	no
125438	spore-forming	spore-formingⓘ	no	90.78	no
125438	thermophilic	thermophileⓘ	no	98.00	no
125438	flagellated	motile2+ⓘ	yes	89.18	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Photobacterium arenosum sp. nov., isolated from marine sediment sand.	Weerawongwiwat V, Yoon S, Kim JH, Yoon JH, Lee JS, Sukhoom A, Kim W	Int J Syst Evol Microbiol	10.1099/ijsem.0.005034	2021
Phylogeny	Photobacterium salinisoli sp. nov., isolated from a sulfonylurea herbicide-degrading consortium enriched with saline soil.	Li M, Kong D, Wang Y, Ma Q, Han X, Zhou Y, Jiang X, Zhang Y, Ruan Z, Zhang Q	Int J Syst Evol Microbiol	10.1099/ijsem.0.003705	2019

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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68244	Miaomiao Li, Delong Kong, Yani Wang, Qingyun Ma, Xiaoyan Han, Yiqing Zhou, Xu jiang, Yuqin Zhang, Zhiyong Ruan and Qinghua Zhang: Photobacterium salinisoli sp. nov., isolated from a sulfonylurea herbicide-degrading consortium enriched with saline soil. IJSEM 69: 3910 - 3916 2019 ( DOI 10.1099/ijsem.0.003705 )
#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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Photobacterium salinisoli (ACCC 19961, JCM 30852, LAM 9072)

Name and taxonomic classification