Aeriscardovia aeriphila (DSM 22365, LMG 21773, NCIMB 13939)

Name: Aeriscardovia aeriphila (DSM 22365, LMG 21773, NCIMB 13939)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1766

Type strain

Strain Designation T6

Culture col. no. DSM 22365 LMG 21773 NCIMB 13939 T6 JCM 15959

NCBI tax ID(s) 218139

Special Collections DSMZ JCM Literature strains

History DSMZ <- LMG <- P. Simpson, Teagasc Dairy Products Res. Centre, Fermoy, Ireland JCM <-- LMG 21773 <-- P. Simpson T6.

Links

Aeriscardovia aeriphila T6 is an anaerobe, Gram-positive, rod-shaped bacterium that was isolated from a pig caecum.

Gram-positive rod-shaped anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 94700

LMG 21773,NCIMB 13939,JCM 15959,DSM 22365

@ref 20215

Last LPSN update 2026-05-29 08:25:20

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Bifidobacteriales

Family Bifidobacteriaceae

Genus Aeriscardovia

Species Aeriscardovia aeriphila

Full scientific name Aeriscardovia aeriphila Simpson et al. 2004

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29919	positive	1.15 µm	0.75 µm	rod-shaped
125438					95.5
125439					96.059

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
16187	BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58)		Medium recipe at MediaDive	Name: BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58) Composition: Glucose 10.0 g/l Casein peptone 10.0 g/l Bacto Soytone 5.0 g/l Meat extract 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l MnSO4 x H2O 0.05 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Tween 80 Resazurin Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
16187	positive	growth	37
29919	positive	growth	30-46
29919	positive	optimum	37
67770	positive	growth	37

Culture pH

@ref	Ability	Type	PH
29919	positive	growth	4.2-4.5

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
16187	anaerobe
29919	facultative aerobe

Spore formation

@ref	Spore formation	Confidence
29919
125438		91.866
125439		95.885

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68371	27613 ChEBI	amygdalin	+	builds acid from	from API 50CH acid
29919	22599 ChEBI	arabinose	+	carbon source
68371	18305 ChEBI	arbutin	+	builds acid from	from API 50CH acid
68371	17057 ChEBI	cellobiose	+	builds acid from	from API 50CH acid
68371	17108 ChEBI	D-arabinose	-	builds acid from	from API 50CH acid
68371	18333 ChEBI	D-arabitol	-	builds acid from	from API 50CH acid
68371	15824 ChEBI	D-fructose	+	builds acid from	from API 50CH acid
68371	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	+	builds acid from	from API 50CH acid
68371	17634 ChEBI	D-glucose	+	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	builds acid from	from API 50CH acid
68371	16899 ChEBI	D-mannitol	-	builds acid from	from API 50CH acid
68371	16024 ChEBI	D-mannose	+	builds acid from	from API 50CH acid
68371	16988 ChEBI	D-ribose	-	builds acid from	from API 50CH acid
68371	17924 ChEBI	D-sorbitol	-	builds acid from	from API 50CH acid
68371	16443 ChEBI	D-tagatose	-	builds acid from	from API 50CH acid
68371	65327 ChEBI	D-xylose	+	builds acid from	from API 50CH acid
68371	17113 ChEBI	erythritol	-	builds acid from	from API 50CH acid
68371	4853 ChEBI	esculin	+	builds acid from	from API 50CH acid
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
68371	28066 ChEBI	gentiobiose	+	builds acid from	from API 50CH acid
68371	24265 ChEBI	gluconate	-	builds acid from	from API 50CH acid
68371	17754 ChEBI	glycerol	-	builds acid from	from API 50CH acid
68371	28087 ChEBI	glycogen	+	builds acid from	from API 50CH acid
68371	30849 ChEBI	L-arabinose	+	builds acid from	from API 50CH acid
68371	18403 ChEBI	L-arabitol	-	builds acid from	from API 50CH acid
68371	18287 ChEBI	L-fucose	-	builds acid from	from API 50CH acid
68371	62345 ChEBI	L-rhamnose	-	builds acid from	from API 50CH acid
68371	65328 ChEBI	L-xylose	-	builds acid from	from API 50CH acid
29919	17306 ChEBI	maltose	+	carbon source
68371	17306 ChEBI	maltose	+	builds acid from	from API 50CH acid
29919	37684 ChEBI	mannose	+	carbon source
68371	6731 ChEBI	melezitose	+	builds acid from	from API 50CH acid
68371	28053 ChEBI	melibiose	+	builds acid from	from API 50CH acid
68371	320061 ChEBI	methyl alpha-D-glucopyranoside	+	builds acid from	from API 50CH acid
68371	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from	from API 50CH acid
68371	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from	from API 50CH acid
68371	17268 ChEBI	myo-inositol	-	builds acid from	from API 50CH acid
68371	59640 ChEBI	N-acetylglucosamine	-	builds acid from	from API 50CH acid
68371	0 ChEBI	Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371	0 ChEBI	Potassium 5-ketogluconate	-	builds acid from	from API 50CH acid
29919	16634 ChEBI	raffinose	+	carbon source
68371	16634 ChEBI	raffinose	+	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
29919	17814 ChEBI	salicin	+	carbon source
68371	17814 ChEBI	salicin	+	builds acid from	from API 50CH acid
68371	28017 ChEBI	starch	+	builds acid from	from API 50CH acid
29919	17992 ChEBI	sucrose	+	carbon source
68371	17992 ChEBI	sucrose	+	builds acid from	from API 50CH acid
68371	32528 ChEBI	turanose	+	builds acid from	from API 50CH acid
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid
29919	18222 ChEBI	xylose	+	carbon source

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	ppGpp biosynthesis	100	4 of 4
66794	acetate fermentation	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	denitrification	100	2 of 2
66794	peptidoglycan biosynthesis	93.33	14 of 15
66794	starch degradation	90	9 of 10
66794	glycogen metabolism	80	4 of 5
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	palmitate biosynthesis	77.27	17 of 22
66794	sulfopterin metabolism	75	3 of 4
66794	pentose phosphate pathway	72.73	8 of 11
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	acetoin degradation	66.67	2 of 3
66794	NAD metabolism	66.67	12 of 18
66794	d-xylose degradation	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	ketogluconate metabolism	62.5	5 of 8
66794	lipoate biosynthesis	60	3 of 5
66794	cellulose degradation	60	3 of 5
66794	pyrimidine metabolism	57.78	26 of 45
66794	valine metabolism	55.56	5 of 9
66794	serine metabolism	55.56	5 of 9
66794	phenylalanine metabolism	53.85	7 of 13
66794	glycolysis	52.94	9 of 17
66794	purine metabolism	51.06	48 of 94
66794	oxidative phosphorylation	50.55	46 of 91
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	isoleucine metabolism	50	4 of 8
66794	adipate degradation	50	1 of 2
66794	glycogen biosynthesis	50	2 of 4
66794	coenzyme A metabolism	50	2 of 4
66794	photosynthesis	50	7 of 14
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	ethanol fermentation	50	1 of 2
66794	threonine metabolism	50	5 of 10
66794	degradation of pentoses	46.43	13 of 28
66794	glutamate and glutamine metabolism	46.43	13 of 28
66794	vitamin B1 metabolism	46.15	6 of 13
66794	metabolism of disaccharids	45.45	5 of 11
66794	alanine metabolism	44.83	13 of 29
66794	d-mannose degradation	44.44	4 of 9
66794	degradation of hexoses	44.44	8 of 18
66794	propanol degradation	42.86	3 of 7
66794	mevalonate metabolism	42.86	3 of 7
66794	methionine metabolism	42.31	11 of 26
66794	non-pathway related	42.11	16 of 38
66794	glycine metabolism	40	4 of 10
66794	C4 and CAM-carbon fixation	37.5	3 of 8
66794	tetrahydrofolate metabolism	35.71	5 of 14
66794	IAA biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	CO2 fixation in Crenarchaeota	33.33	3 of 9
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	sulfoquinovose degradation	33.33	1 of 3
66794	lipid metabolism	32.26	10 of 31
66794	degradation of sugar alcohols	31.25	5 of 16
66794	leucine metabolism	30.77	4 of 13
66794	Entner Doudoroff pathway	30	3 of 10
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	reductive acetyl coenzyme A pathway	28.57	2 of 7
66794	tyrosine metabolism	28.57	4 of 14
66794	vitamin B6 metabolism	27.27	3 of 11
66794	proline metabolism	27.27	3 of 11
66794	isoprenoid biosynthesis	26.92	7 of 26
66794	flavin biosynthesis	26.67	4 of 15
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	butanoate fermentation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	dTDPLrhamnose biosynthesis	25	2 of 8
66794	gluconeogenesis	25	2 of 8
66794	tryptophan metabolism	23.68	9 of 38
66794	nitrate assimilation	22.22	2 of 9
66794	cysteine metabolism	22.22	4 of 18
66794	chorismate metabolism	22.22	2 of 9
66794	glutathione metabolism	21.43	3 of 14
66794	histidine metabolism	20.69	6 of 29

API 50CHac

@ref	ControlQ	GLY	ERY	DARA	LARA	RIB	DXYL	LXYL	ADO	MDX	GAL	GLU	FRU	MNE	SBE	RHA	DUL	INO	MAN	SOR	MDM	MDG	NAG	AMY	ARB	ESC	SAL	CEL	MAL	LAC	MEL	SAC	TRE	INU	MLZ	RAF	AMD	GLYG	XLT	GEN	TUR	LYX	TAG	DFUC	LFUC	DARL	LARL	GNT	2KG	5KG
16187	-	-	-	-	+	-	+	-	-	-	+	+	+	+	+/-	-	-	-	-	-	-	+	-	+	+	+	+	+	+	+/-	+	+	+/-	+/-	+	+	+	+	-	+	+	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Suidae (Pig,Swine)
#Host Body-Site	#Gastrointestinal tract	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
16187	a pig caecum	Fermoy	Ireland	IRL	Europe
67770	Porcine caecum

Taxonmaps

69479

Global distribution of 16S sequence LC483556 (>99% sequence identity) for Aeriscardovia aeriphila subclade from Microbeatlas

Aquatic Samples	170
Soil Samples	149
Animal Samples	4955
Plant Samples	111
Total Samples	5385

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
16187	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
67770	ASM1340843v1 assembly for Aeriscardovia aeriphila DSM 22365	contig	GCA_013408435	218139.4	2824784629	218139	66.16
67770	ASM225959v1 assembly for Aeriscardovia aeriphila LMG 21773	contig	GCA_002259595	218139.3	2788500099	218139	62.07

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
16187	Aeriscardovia aeriphila strain T6 16S ribosomal RNA gene, partial sequence	AY174107	1422		218139
67770	Aeriscardovia aeriphila gene for 16S ribosomal RNA, partial sequence	LC483556	1461		218139

GC content

@ref	GC-content (mol%)	Method
16187	54.7
67770	54.7	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: ASM1340843v1 assembly for Aeriscardovia aeriphila DSM 22365
NCBI: GCA_013408435

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	63.60	no
125439	gram_stain	BacteriaNetⓘ	positive	69.82	no
125439	motility	BacteriaNetⓘ	no	96.06	no
125439	spore_formation	BacteriaNetⓘ	no	95.89	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aeriscardovia aeriphila strain DSM 22365
PATRIC: 218139.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.02	yes
125438	anaerobic	anaerobicⓘ	yes	63.54	no
125438	spore-forming	spore-formingⓘ	no	91.87	yes
125438	aerobic	aerobicⓘ	no	91.24	yes
125438	thermophilic	thermophileⓘ	no	93.00	yes
125438	flagellated	motile2+ⓘ	no	95.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Effects of Aeriscardovia aeriphila on growth performance, antioxidant functions, immune responses, and gut microbiota in broiler chickens.	Farooq MZ, Wang X, Yan X.	J Zhejiang Univ Sci B	10.1631/jzus.b2200621	2023
	A prospective study of the infant gut microbiome in relation to vaccine response.	Moroishi Y, Gui J, Nadeau KC, Morrison HG, Madan J, Karagas MR.	Pediatr Res	10.1038/s41390-022-02154-0	2023
	Comparative Analysis of the Gut Microbiota of Thai Indigenous Chicken Fed House Crickets.	T-Thienprasert NP, Jaithon T, Klomkliew P, Chanchaem P, Suwanasopee T, Koonawootrittriron S, Kovitvadhi A, Chundang P, Pongprayoon P, Kityakarn S, Luksirikul P, Payungporn S.	Animals (Basel)	10.3390/ani15071070	2025
	Systematic review of the impact of intestinal microbiota on vaccine responses.	Ardura-Garcia C, Curtis N, Zimmermann P.	NPJ Vaccines	10.1038/s41541-024-01000-0	2024
	Enhancing Growth and Gut Health in Squabs: The Impact of Fermented Mixed Feed.	Xiao C, Li X, Ding Z, Zhang H, Lv W, Yang C, He D, Zhu L.	Animals (Basel)	10.3390/ani14101411	2024
	Yeast mannan rich fraction positively influences microbiome uniformity, productivity associated taxa, and lay performance.	Leigh RJ, Corrigan A, Murphy RA, Taylor-Pickard J, Moran CA, Walsh F.	Anim Microbiome	10.1186/s42523-024-00295-7	2024
Genetics	A comparative analysis of microbial profile of Guinea fowl and chicken using metagenomic approach.	Bhogoju S, Nahashon S, Wang X, Darris C, Kilonzo-Nthenge A.	PLoS One	10.1371/journal.pone.0191029	2018
	Effect of bovine milk fat-based infant formulae on microbiota, metabolites and stool parameters in healthy term infants in a randomized, crossover, placebo-controlled trial.	Looijesteijn E, Brouwer RWW, Schoemaker RJW, Ulfman LH, Ham SL, Jeurink P, Karaglani E, van IJcken WFJ, Manios Y.	BMC Nutr	10.1186/s40795-022-00575-y	2022
Phylogeny	Gene encoding the CTP synthetase as an appropriate molecular tool for identification and phylogenetic study of the family Bifidobacteriaceae.	Killer J, Mekadim C, Pechar R, Bunesova V, Mrazek J, Vlkova E.	Microbiologyopen	10.1002/mbo3.579	2018
Enzymology	Detection and characterization of Bifidobacterium crudilactis and B. mongoliense able to grow during the manufacturing process of French raw milk cheeses.	Delcenserie V, Taminiau B, Gavini F, de Schaetzen MA, Cleenwerck I, Theves M, Mahieu M, Daube G.	BMC Microbiol	10.1186/1471-2180-13-239	2013
Phylogeny	Bifidobacteria in feces and environmental waters.	Lamendella R, Santo Domingo JW, Kelty C, Oerther DB.	Appl Environ Microbiol	10.1128/aem.01221-07	2008
Genetics	Comparative genomic and phylogenomic analyses of the Bifidobacteriaceae family.	Lugli GA, Milani C, Turroni F, Duranti S, Mancabelli L, Mangifesta M, Ferrario C, Modesto M, Mattarelli P, Jiri K, van Sinderen D, Ventura M	BMC Genomics	10.1186/s12864-017-3955-4	2017
Phylogeny	Neoscardovia arbecensis gen. nov., sp. nov., isolated from porcine slurries.	Garcia-Aljaro C, Balleste E, Rossello-Mora R, Cifuentes A, Richter M, Blanch AR.	Syst Appl Microbiol	10.1016/j.syapm.2012.06.007	2012
Phylogeny	Alloscardovia omnicolens gen. nov., sp. nov., from human clinical samples.	Huys G, Huys G, Vancanneyt M, D'Haene K, Falsen E, Wauters G, Vandamme P.	Int J Syst Evol Microbiol	10.1099/ijs.0.64812-0	2007
Phylogeny	Bifidobacterium psychraerophilum sp. nov. and Aeriscardovia aeriphila gen. nov., sp. nov., isolated from a porcine caecum.	Simpson PJ, Ross RP, Fitzgerald GF, Stanton C	Int J Syst Evol Microbiol	10.1099/ijs.0.02667-0	2004

References

#16187	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22365
#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 )
#26290	IJSEM 401 2004 ( DOI 10.1099/ijs.0.02667-0 , PubMed 15023951 )
#29919	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 #26290
#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;
#68371	Automatically annotated from API 50CH acid .
#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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Aeriscardovia aeriphila (DSM 22365, LMG 21773, NCIMB 13939)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Pathway annotation

API 50CHac

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_013408435

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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