Paracoccus aminovorans (DSM 8537, ATCC 49632, IAM 14244)

Name: Paracoccus aminovorans (DSM 8537, ATCC 49632, IAM 14244)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13713

Type strain

Strain Designation DM-82

Culture col. no. DSM 8537 ATCC 49632 IAM 14244 JCM 7685 DM-82 6 more

NCBI tax ID(s) 34004

Special Collections DSMZ JCM CIP

History <- JCM <- T. Urakami, DM-82 T. Urakami DM-82. CIP <- 1999, JCM <- T. Urakami: strain DM-82

Links

Paracoccus aminovorans DM-82 is an obligate aerobe, Gram-negative, rod-shaped bacterium that was isolated from soil Niigata Factory of Mitsubishi Gas Chemical Company.

Gram-negative rod-shaped obligate aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 42592

ATCC 49632,JCM 7685,CIP 106076,IAM 14244,DSM 8537,VKM B-2140,IFO 16711,NBRC 16711,CCUG 50784,KCTC 5067,KCTC 12139,LMG 23829

@ref 20215

Last LPSN update 2026-02-09 11:21:13

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Paracoccaceae

Genus Paracoccus

Species Paracoccus aminovorans

Full scientific name Paracoccus aminovorans Urakami et al. 1990

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
116338	negative	rod-shaped
125439	negative		99.2
125438	negative		98.315

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
3238	MEDIUM FOR PARACOCCUS AMINOPHILUS AND P. AMINOVORANS (DSMZ Medium 774)	Medium recipe at MediaDive	Name: MEDIUM FOR PARACOCCUS AMINOPHILUS AND P. AMINOVORANS (DSMZ Medium 774) Composition: Agar 20.0 g/l Glucose 5.0 g/l Yeast extract 5.0 g/l Peptone 5.0 g/l Distilled water
40405	MEDIUM 199 - for Clavibacter michiganense subsp. insidiosum		Distilled water make up to (1000.000 ml);Agar (15.000 g);Glucose (5.000g);Yeast extract (5.000 g);Peptone (5.000 g)
116338	CIP Medium 364	Medium recipe at CIP
116338	CIP Medium 72	Medium recipe at CIP
3238	NUTRIENT AGAR (DSMZ Medium 1)	Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
3238	positive	growth	30
3238	positive	growth	28
40405	positive	growth	30
67770	positive	growth	30
116338	positive	growth	25-37
116338	negative	growth	5
116338	negative	growth	10
116338	negative	growth	41

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
116338	obligate aerobe
125439	obligate aerobe	98.3

Spore formation

@ref	Spore formation	Confidence
125439		97.6
125438		92.093

Halophily

@ref	Salt	Growth	Tested relation	Concentration
116338	NaCl	positive	growth	0-6 %
116338	NaCl		growth	8 %
116338	NaCl		growth	10 %

Observation

67770

Observationquinones: Q-10

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
116338	16947 ChEBI	citrate	-	carbon source
116338	4853 ChEBI	esculin	+	hydrolysis
116338	17632 ChEBI	nitrate	+	reduction
116338	17632 ChEBI	nitrate	+	respiration
116338	16301 ChEBI	nitrite	+	reduction

Antibiotic resistance

@ref	Metabolite	Is sensitive	Is resistant
116338	0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate)

Metabolite production

@ref	Chebi-ID	Metabolite	Production
116338	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68382	alkaline phosphatase	+	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
116338	amylase	-
68382	beta-galactosidase	-	3.2.1.23	from API zym
116338	beta-galactosidase	-	3.2.1.23
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
116338	caseinase	-	3.4.21.50
116338	catalase	+	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
116338	DNase	-
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
116338	gelatinase	-
116338	lecithinase	-
68382	leucine arylamidase	+	3.4.11.1	from API zym
116338	lipase	-
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
116338	oxidase	+
116338	protease	-
68382	trypsin	-	3.4.21.4	from API zym
116338	tryptophan deaminase	-
116338	tween esterase	-
116338	urease	-	3.5.1.5
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	L-lactaldehyde degradation	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	methylglyoxal degradation	100	5 of 5
66794	denitrification	100	2 of 2
66794	teichoic acid biosynthesis	100	1 of 1
66794	enterobactin biosynthesis	100	3 of 3
66794	glycogen metabolism	100	5 of 5
66794	valine metabolism	100	9 of 9
66794	quinate degradation	100	2 of 2
66794	Entner Doudoroff pathway	100	10 of 10
66794	coenzyme A metabolism	100	4 of 4
66794	adipate degradation	100	2 of 2
66794	formaldehyde oxidation	100	3 of 3
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	biotin biosynthesis	100	4 of 4
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	gluconeogenesis	100	8 of 8
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	folate polyglutamylation	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	glycogen biosynthesis	100	4 of 4
66794	suberin monomers biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	octane oxidation	100	3 of 3
66794	photosynthesis	92.86	13 of 14
66794	phenylalanine metabolism	92.31	12 of 13
66794	threonine metabolism	90	9 of 10
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	glutathione metabolism	85.71	12 of 14
66794	ubiquinone biosynthesis	85.71	6 of 7
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	vitamin B1 metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	vitamin B12 metabolism	82.35	28 of 34
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	phenylacetate degradation (aerobic)	80	4 of 5
66794	propionate fermentation	80	8 of 10
66794	purine metabolism	79.79	75 of 94
66794	glutamate and glutamine metabolism	78.57	22 of 28
66794	citric acid cycle	78.57	11 of 14
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	leucine metabolism	76.92	10 of 13
66794	isoleucine metabolism	75	6 of 8
66794	CMP-KDO biosynthesis	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	flavin biosynthesis	73.33	11 of 15
66794	proline metabolism	72.73	8 of 11
66794	vitamin B6 metabolism	72.73	8 of 11
66794	tyrosine metabolism	71.43	10 of 14
66794	propanol degradation	71.43	5 of 7
66794	tetrahydrofolate metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	heme metabolism	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	methionine metabolism	69.23	18 of 26
66794	pyrimidine metabolism	68.89	31 of 45
66794	oxidative phosphorylation	67.03	61 of 91
66794	methane metabolism	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	degradation of aromatic, nitrogen containing compounds	66.67	8 of 12
66794	cyanate degradation	66.67	2 of 3
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	selenocysteine biosynthesis	66.67	4 of 6
66794	tryptophan metabolism	65.79	25 of 38
66794	alanine metabolism	65.52	19 of 29
66794	pentose phosphate pathway	63.64	7 of 11
66794	ketogluconate metabolism	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	arginine metabolism	62.5	15 of 24
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	urea cycle	61.54	8 of 13
66794	lipid metabolism	61.29	19 of 31
66794	vitamin K metabolism	60	3 of 5
66794	elloramycin biosynthesis	60	3 of 5
66794	3-chlorocatechol degradation	60	3 of 5
66794	gallate degradation	60	3 of 5
66794	starch degradation	60	6 of 10
66794	cellulose degradation	60	3 of 5
66794	hydrogen production	60	3 of 5
66794	histidine metabolism	58.62	17 of 29
66794	non-pathway related	57.89	22 of 38
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	lysine metabolism	57.14	24 of 42
66794	cysteine metabolism	55.56	10 of 18
66794	4-hydroxymandelate degradation	55.56	5 of 9
66794	allantoin degradation	55.56	5 of 9
66794	phenol degradation	55	11 of 20
66794	d-xylose degradation	54.55	6 of 11
66794	ascorbate metabolism	54.55	12 of 22
66794	sulfate reduction	53.85	7 of 13
66794	kanosamine biosynthesis II	50	1 of 2
66794	cyclohexanol degradation	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	resorcinol degradation	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	degradation of pentoses	50	14 of 28
66794	acetate fermentation	50	2 of 4
66794	3-phenylpropionate degradation	46.67	7 of 15
66794	metabolism of disaccharids	45.45	5 of 11
66794	arachidonic acid metabolism	44.44	8 of 18
66794	nitrate assimilation	44.44	4 of 9
66794	degradation of sugar acids	44	11 of 25
66794	androgen and estrogen metabolism	43.75	7 of 16
66794	polyamine pathway	43.48	10 of 23
66794	creatinine degradation	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	glycine betaine biosynthesis	40	2 of 5
66794	factor 420 biosynthesis	40	2 of 5
66794	myo-inositol biosynthesis	40	4 of 10
66794	lipoate biosynthesis	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	carnitine metabolism	37.5	3 of 8
66794	sphingosine metabolism	33.33	2 of 6
66794	pantothenate biosynthesis	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	degradation of hexoses	27.78	5 of 18
66794	lactate fermentation	25	1 of 4
66794	alginate biosynthesis	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	bile acid biosynthesis, neutral pathway	23.53	4 of 17
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	phenylpropanoid biosynthesis	23.08	3 of 13

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
116338	-	+	+	+	-	+	-	+	-	-	+	+	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
3238	soil Niigata Factory of Mitsubishi Gas Chemical Company	Japan	JPN	Asia
67770	Soil
116338	Environment, Soil	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence LN832559 (>99% sequence identity) for Paracoccus from Microbeatlas

Aquatic Samples	110
Soil Samples	38
Animal Samples	513
Plant Samples	3
Total Samples	664

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3238	1	Risk group (German classification) According to TRBA 466
116338	1	Risk group (French 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	JCM7685 assembly for Paracoccus aminovorans	complete	GCA_900005615	34004.9	2773857812	34004	98.15
66792	IMG-taxon 2615840720 annotated assembly for Paracoccus aminovorans DSM 8537	contig	GCA_900113565	34004.15	2615840720	34004	60.46

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
3238	Paracoccus aminovorans gene for 16S rRNA, strain: JCM 7685	D32240	1385		34004
3238	Paracoccus aminovorans gene for 16S rRNA, partial sequence, strain: NBRC 16711	AB681112	1388		34004

GC content

@ref	GC-content (mol%)	Method
3238	67.0	high performance liquid chromatography (HPLC)
67770	67	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: Paracoccus aminovorans strain JCM7685
PATRIC: 34004.9

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.60	no
125439	motility	BacteriaNetⓘ	yes	69.10	no
125439	gram_stain	BacteriaNetⓘ	negative	99.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paracoccus aminovorans JCM7685
NCBI: GCA_900005615.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.32	no
125438	anaerobic	anaerobicⓘ	no	94.61	no
125438	aerobic	aerobicⓘ	yes	83.67	no
125438	spore-forming	spore-formingⓘ	no	92.09	no
125438	thermophilic	thermophileⓘ	no	97.32	yes
125438	flagellated	motile2+ⓘ	no	59.75	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Carbon source, cell density, and the microbial community control inhibition of V. cholerae surface colonization by environmental nitrate.	James J, Santos RE, Watnick PI.	mBio	10.1128/mbio.04066-24	2025
	Impact of a human gut microbe on Vibrio cholerae host colonization through biofilm enhancement.	Barrasso K, Chac D, Debela MD, Geigel C, Steenhaut A, Rivera Seda A, Dunmire CN, Harris JB, Larocque RC, Midani FS, Qadri F, Yan J, Weil AA, Ng WL.	Elife	10.7554/elife.73010	2022
Genetics	Genome-wide comparative analysis of clinical and environmental strains of the opportunistic pathogen Paracoccus yeei (Alphaproteobacteria).	Szuplewska M, Sentkowska D, Lasek R, Decewicz P, Halucha M, Funk L, Chmielowska C, Bartosik D.	Front Microbiol	10.3389/fmicb.2024.1483110	2024
Pathogenicity	Unique Properties of the Alpha-Helical DNA-Binding Protein KfrA Encoded by the IncU Incompatibility Group Plasmid RA3 and Its Host-Dependent Role in Plasmid Maintenance.	Lewicka E, Mitura M, Steczkiewicz K, Kieracinska J, Skrzynska K, Adamczyk M, Jagura-Burdzy G.	Appl Environ Microbiol	10.1128/aem.01771-20	2021
	The SXT conjugative element and linear prophage N15 encode toxin-antitoxin-stabilizing systems homologous to the tad-ata module of the Paracoccus aminophilus plasmid pAMI2.	Dziewit L, Jazurek M, Drewniak L, Baj J, Bartosik D.	J Bacteriol	10.1128/jb.01610-06	2007
	The effect and interaction mechanism of different iron (hydr-) oxides on the degradation of benzo (a) pyrene by Paracoccus sp. HPD-2.	Gan X, Chen Y, Xu Y, Mu T.	Arch Microbiol	10.1007/s00203-025-04507-9	2025
	Ultra-rapid start-up biological nitrification for nutrient recovery from source-separated urine.	Wang F, Yang Y, Gao J, Li X, Lu Z, Fan X, Cao S, Liu Y, Tijing LD, Shon HK, Ren J.	Water Res	10.1016/j.watres.2025.124343	2025
	A commercial humic acid inhibits benzo(a)pyrene biodegradation by Paracoccus aminovorans HPD-2.	Wang B, Wang P, Liu S, Shi H, Teng Y.	Sci Total Environ	10.1016/j.scitotenv.2024.171966	2024
	Combining protein and metabolic engineering strategies for high-level production of L-theanine in Corynebacterium glutamicum.	Yang T, Zhang D, Cai M, Zhang H, Pan X, You J, Zhang X, Xu M, Rao Z.	Bioresour Technol	10.1016/j.biortech.2023.130200	2024
	Exploring the PAHs dissipation and indigenous bacteria response in soil amended with two different microbial inoculants.	Wang B, Teng Y, Li R, Meng K, Xu Y, Liu S, Luo Y.	Sci Total Environ	10.1016/j.scitotenv.2022.160186	2023
	Microbiome-Induced Microenvironmental Changes Before and After Breast Cancer Treatment.	An J, Kwon H, Kim YJ, Moon BI.	Microorganisms	10.3390/microorganisms13051057	2025
Metabolism	The relationship between gut microbiota, short-chain fatty acids, and glucolipid metabolism in pregnant women with large for gestational age infants.	Lan Y, Pan S, Chen B, Zhou F, Yang F, Chao S, Hua Y, Liu H.	J Appl Microbiol	10.1093/jambio/lxad240	2023
Phylogeny	Distinct microbial signatures and their predictive value in recurrent acute pancreatitis: insights from 5-region 16S rRNA gene sequencing.	Wang QW, Zheng H, Yang Y, Chang X, Du Z, Hang ZN, Li ZS, Liao Z.	Front Immunol	10.3389/fimmu.2025.1558983	2025
	Enhanced remediation of PAHs-contaminated site soil by bioaugmentation with graphene oxide immobilized bacterial pellets.	Ren W, Liu H, Mao T, Teng Y, Zhao R, Luo Y.	J Hazard Mater	10.1016/j.jhazmat.2022.128793	2022
Genetics	Metagenomic Analyses of Gut Bacteria of Two Sandfly Species from Western Ghats, India, Differing in Their Vector Competence for Leishmaniasis.	Tom A, Yellapu NK, Rahi M, Saini P.	Microorganisms	10.3390/microorganisms13071615	2025
	The Effects of Lakitelek Thermal Water and Tap Water on Skin Microbiome, a Randomized Control Pilot Study.	Tamas B, Gabriella K, Kristof A, Anett I, Janos Pal K, Balint T, Peter L, Marton P, Katalin N.	Life (Basel)	10.3390/life13030746	2023
	Nitrogen transfer and cross-feeding between Azotobacter chroococcum and Paracoccus aminovorans promotes pyrene degradation.	Wang X, Teng Y, Wang X, Xu Y, Li R, Sun Y, Dai S, Hu W, Wang H, Li Y, Fang Y, Luo Y.	ISME J	10.1038/s41396-023-01522-w	2023
	Assessment of methane and nitrous oxide emissions from urban community sewer networks: Field quantification and insights into environmental factors.	Yang Y, Yuan X, Yu L, Jong MC, Pius O, Zou N, Zuo Z, Yang J, Zuo J.	Water Res X	10.1016/j.wroa.2025.100307	2025
	Nanomaterial-mediated strategies for enhancing bioremediation of polycyclic aromatic hydrocarbons: A systematic review.	Gupta N, Koley A, Banerjee S, Ghosh A, Hoque RR, Balachandran S.	Hybrid Adv	10.1016/j.hybadv.2024.100315	2024
	Mixotrophic cyanobacteria are critical active diazotrophs in polychlorinated biphenyl-contaminated paddy soil.	Hu W, Teng Y, Wang X, Xu Y, Sun Y, Wang H, Li Y, Dai S, Zhong M, Luo Y.	ISME Commun	10.1093/ismeco/ycae160	2025
	Pathway engineering of Escherichia coli for one-step fermentative production of L-theanine from sugars and ethylamine.	Fan X, Zhang T, Ji Y, Li J, Long K, Yuan Y, Li Y, Xu Q, Chen N, Xie X.	Metab Eng Commun	10.1016/j.mec.2020.e00151	2020
	Arbuscular Mycorrhizal Fungi as Core Engineers in Synthetic Microbial Communities: Boosting Plant Growth and Soil Health for Sustainable Agriculture.	Zeng Y, Wang Y, Wang X, Jing X, Shu X, Ren P, Liu W, Ye Q, Fu W, Hao Z, Zhang X, Chen B, Wang X.	J Fungi (Basel)	10.3390/jof11110769	2025
	Integrated commercial and low-fishmeal fermented feed boosts survival and modulates intestinal microbiota in pacific white shrimp (Litopenaeus vannamei).	Cheng Y, Fan L, Liu Y, Su K, Xu G.	Anim Nutr	10.1016/j.aninu.2025.01.011	2025
	The inconsistent pathogenesis of endometriosis and adenomyosis: insights from endometrial metabolome and microbiome.	Li C, Xu X, Zhao X, Du B.	mSystems	10.1128/msystems.00202-25	2025
	Human Gut Microbiota Predicts Susceptibility to Vibrio cholerae Infection.	Midani FS, Weil AA, Chowdhury F, Begum YA, Khan AI, Debela MD, Durand HK, Reese AT, Nimmagadda SN, Silverman JD, Ellis CN, Ryan ET, Calderwood SB, Harris JB, Qadri F, David LA, LaRocque RC.	J Infect Dis	10.1093/infdis/jiy192	2018
	Important soil microbiota's effects on plants and soils: a comprehensive 30-year systematic literature review.	Wang X, Chi Y, Song S.	Front Microbiol	10.3389/fmicb.2024.1347745	2024
Pathogenicity	Transcriptional Organization of the Stability Module of Broad-Host-Range Plasmid RA3, from the IncU Group.	Lewicka E, Dolowy P, Godziszewska J, Litwin E, Ludwiczak M, Jagura-Burdzy G.	Appl Environ Microbiol	10.1128/aem.00847-20	2020
Enzymology	Biliary Microbiota, Gallstone Disease and Infection with Opisthorchis felineus.	Saltykova IV, Petrov VA, Logacheva MD, Ivanova PG, Merzlikin NV, Sazonov AE, Ogorodova LM, Brindley PJ.	PLoS Negl Trop Dis	10.1371/journal.pntd.0004809	2016
Metabolism	Role of Festuca rubra and Festuca arundinacea in determinig the functional and genetic diversity of microorganisms and of the enzymatic activity in the soil polluted with diesel oil.	Borowik A, Wyszkowska J, Galazka A, Kucharski J.	Environ Sci Pollut Res Int	10.1007/s11356-019-05888-3	2019
	Relationships between the Gut Microbiota of Juvenile Black Sea Bream (Acanthopagrus schlegelii) and Associated Environment Compartments in Different Habitats.	Sun P, Zhang H, Jiang Y, Gao Q, Tang B, Ling J, Yuan X.	Microorganisms	10.3390/microorganisms9122557	2021
	Circulating Antibodies to Skin Bacteria Detected by Serological Lateral Flow Immunoassays Differentially Correlated With Bacterial Abundance.	Huang RY, Lee CN, Moochhala S.	Front Microbiol	10.3389/fmicb.2021.709562	2021
	Is Intestinal Bacterial Diversity Enhanced by Trans-Species Spread in the Mixed-Species Flock of Hooded Crane (Grus monacha) and Bean Goose (Anser fabalis) Wintering in the Lower and Middle Yangtze River Floodplain?	Yang Z, Zhou L.	Animals (Basel)	10.3390/ani11010233	2021
Phylogeny	Metagenomics and metabarcoding experimental choices and their impact on microbial community characterization in freshwater recirculating aquaculture systems.	Rieder J, Kapopoulou A, Bank C, Adrian-Kalchhauser I.	Environ Microbiome	10.1186/s40793-023-00459-z	2023
Phylogeny	Comparing microbiotas in the upper aerodigestive and lower respiratory tracts of lambs.	Glendinning L, Collie D, Wright S, Rutherford KMD, McLachlan G.	Microbiome	10.1186/s40168-017-0364-5	2017
Enzymology	Identification of Widespread Antibiotic Exposure in Patients With Cholera Correlates With Clinically Relevant Microbiota Changes.	Alexandrova L, Haque F, Rodriguez P, Marrazzo AC, Grembi JA, Ramachandran V, Hryckowian AJ, Adams CM, Siddique MSA, Khan AI, Qadri F, Andrews JR, Rahman M, Spormann AM, Schoolnik GK, Chien A, Nelson EJ.	J Infect Dis	10.1093/infdis/jiz299	2019
Genetics	Thermal Endurance by a Hot-Spring-Dwelling Phylogenetic Relative of the Mesophilic Paracoccus.	Mondal N, Roy C, Chatterjee S, Sarkar J, Dutta S, Bhattacharya S, Chakraborty R, Ghosh W.	Microbiol Spectr	10.1128/spectrum.01606-22	2022
Genetics	Performance of Multiple Metagenomics Pipelines in Understanding Microbial Diversity of a Low-Biomass Spacecraft Assembly Facility.	Wood JM, Singh NK, Guan L, Seuylemezian A, Benardini JN, Venkateswaran K.	Front Microbiol	10.3389/fmicb.2021.685254	2021
	Monitoring biodiversity in libraries: a pilot study and perspectives for indoor air quality.	Valeriani F, Cianfanelli C, Gianfranceschi G, Santucci S, Romano Spica V, Mucci N.	J Prev Med Hyg		2017
Pathogenicity	Alpha-Helical Protein KfrC Acts as a Switch between the Lateral and Vertical Modes of Dissemination of Broad-Host-Range RA3 Plasmid from IncU (IncP-6) Incompatibility Group.	Mitura M, Lewicka E, Godziszewska J, Adamczyk M, Jagura-Burdzy G.	Int J Mol Sci	10.3390/ijms22094880	2021
Metabolism	Biofilm and Planktonic Bacterial and Fungal Communities Transforming High-Molecular-Weight Polycyclic Aromatic Hydrocarbons.	Folwell BD, McGenity TJ, Whitby C.	Appl Environ Microbiol	10.1128/aem.03713-15	2016
Phylogeny	Bacterial diversity, community structure and potential growth rates along an estuarine salinity gradient.	Campbell BJ, Kirchman DL.	ISME J	10.1038/ismej.2012.93	2013
Metabolism	Involvement of membrane vesicles in long-chain-AHL delivery in Paracoccus species.	Morinaga K, Nagakubo T, Nomura N, Toyofuku M	Environ Microbiol Rep	10.1111/1758-2229.12843	2020
Metabolism	Lifestyle-determining extrachromosomal replicon pAMV1 and its contribution to the carbon metabolism of the methylotrophic bacterium Paracoccus aminovorans JCM 7685.	Czarnecki J, Dziewit L, Puzyna M, Prochwicz E, Tudek A, Wibberg D, Schluter A, Puhler A, Bartosik D	Environ Microbiol	10.1111/1462-2920.13901	2017
Phylogeny	Paracoccus mangrovi sp. nov., isolated from a mangrove.	Chen WM, Li YS, Young CC, Sheu SY	Int J Syst Evol Microbiol	10.1099/ijsem.0.001993	2017
Phylogeny	Paracoccus huijuniae sp. nov., an amide pesticide-degrading bacterium isolated from activated sludge of a wastewater biotreatment system.	Sun LN, Zhang J, Kwon SW, He J, Zhou SG, Li SP	Int J Syst Evol Microbiol	10.1099/ijs.0.044180-0	2012
Phylogeny	Paracoccus aminophilus sp. nov. and Paracoccus aminovorans sp. nov., which utilize N,N-dimethylformamide.	Urakami T, Araki H, Oyanagi H, Suzuki K, Komagata K	Int J Syst Bacteriol	10.1099/00207713-40-3-287	1990

References

#3238	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 8537
#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 )
#40405	; Curators of the CIP;
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68382	Automatically annotated from API zym .
#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 .
#116338	Collection of Institut Pasteur ; Curators of the CIP; CIP 106076
#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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Paracoccus aminovorans (DSM 8537, ATCC 49632, IAM 14244)

Name and taxonomic classification

Morphology

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Physiology and metabolism

Oxygen tolerance

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Antibiotic resistance

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Genome browser: GCA_900005615

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