Anaerostipes hadrus (DSM 3319, ATCC 29173, KCTC 15606)

Name: Anaerostipes hadrus (DSM 3319, ATCC 29173, KCTC 15606)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5427

Type strain

Strain Designation VP 82-52

Culture col. no. DSM 3319 ATCC 29173 KCTC 15606 VP 82-52 VPI 82-52 2 more

NCBI tax ID(s) 649757 649756

Special Collections DSMZ JCM KCTC

History <- ATCC <- L.V. Holdeman, VPI 82-52 <- DSM <- ATCC <- LV Holdeman, VPI 82-52

Links

Anaerostipes hadrus VP 82-52 is an anaerobe, rod-shaped bacterium that was isolated from human faeces.

rod-shaped anaerobe genome sequence Bacteria

Name and taxonomic classification

SI-ID 39388

KCTC 15606,ATCC 29173,DSM 3319,JCM 9980

@ref 20215

Last LPSN update 2026-02-09 11:18:57

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Anaerostipes

Species Anaerostipes hadrus

Full scientific name Anaerostipes hadrus (Moore et al. 1976) Allen-Vercoe et al. 2013

Synonyms (1)

Eubacterium hadrum

BacDive ID	Other strains from **Anaerostipes hadrus** (1)	Type strain
160069	A. hadrus SS 2/1, DSM 23942, JCM 17764

Morphology

Cell morphology

@ref	Cell shape	Motility	Gram stain
67771	rod-shaped
67771			positive

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
1356	CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110)		Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
1356	positive	growth	37
67771	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
1356	anaerobe
67771	anaerobe
125438	anaerobe	90.593
125439	obligate anaerobe	98.9

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	-	3.4.11.2	from API rID32A
68380	alkaline phosphatase	-	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68380	alpha-glucosidase	-	3.2.1.20	from API rID32A
68380	beta-galactosidase	+	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	+		from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	histidine arylamidase	-		from API rID32A
68380	L-arginine arylamidase	-		from API rID32A
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	C4 and CAM-carbon fixation	100	8 of 8
66794	coenzyme A metabolism	100	4 of 4
66794	adipate degradation	100	2 of 2
66794	teichoic acid biosynthesis	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	suberin monomers biosynthesis	100	2 of 2
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	methylglyoxal degradation	100	5 of 5
66794	starch degradation	100	10 of 10
66794	L-lactaldehyde degradation	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	vitamin B1 metabolism	92.31	12 of 13
66794	myo-inositol biosynthesis	90	9 of 10
66794	alanine metabolism	89.66	26 of 29
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	degradation of sugar alcohols	87.5	14 of 16
66794	gluconeogenesis	87.5	7 of 8
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	propanol degradation	85.71	6 of 7
66794	glutamate and glutamine metabolism	82.14	23 of 28
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	glycogen metabolism	80	4 of 5
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	photosynthesis	78.57	11 of 14
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	serine metabolism	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	ketogluconate metabolism	75	6 of 8
66794	isoleucine metabolism	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	ppGpp biosynthesis	75	3 of 4
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	citric acid cycle	71.43	10 of 14
66794	pyrimidine metabolism	71.11	32 of 45
66794	glycolysis	70.59	12 of 17
66794	threonine metabolism	70	7 of 10
66794	purine metabolism	67.02	63 of 94
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	octane oxidation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	formaldehyde oxidation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	heme metabolism	64.29	9 of 14
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	Entner Doudoroff pathway	60	6 of 10
66794	hydrogen production	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	non-pathway related	57.89	22 of 38
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	degradation of pentoses	57.14	16 of 28
66794	histidine metabolism	55.17	16 of 29
66794	metabolism of disaccharids	54.55	6 of 11
66794	proline metabolism	54.55	6 of 11
66794	leucine metabolism	53.85	7 of 13
66794	methionine metabolism	53.85	14 of 26
66794	phosphatidylethanolamine bioynthesis	53.85	7 of 13
66794	tryptophan metabolism	52.63	20 of 38
66794	lipid metabolism	51.61	16 of 31
66794	pantothenate biosynthesis	50	3 of 6
66794	ethanol fermentation	50	1 of 2
66794	propionate fermentation	50	5 of 10
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	CMP-KDO biosynthesis	50	2 of 4
66794	ribulose monophosphate pathway	50	1 of 2
66794	toluene degradation	50	2 of 4
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	degradation of hexoses	50	9 of 18
66794	arginine metabolism	50	12 of 24
66794	quinate degradation	50	1 of 2
66794	selenocysteine biosynthesis	50	3 of 6
66794	cysteine metabolism	50	9 of 18
66794	lysine metabolism	47.62	20 of 42
66794	oxidative phosphorylation	47.25	43 of 91
66794	flavin biosynthesis	46.67	7 of 15
66794	sulfate reduction	46.15	6 of 13
66794	phenylpropanoid biosynthesis	46.15	6 of 13
66794	urea cycle	46.15	6 of 13
66794	isoprenoid biosynthesis	46.15	12 of 26
66794	pentose phosphate pathway	45.45	5 of 11
66794	vitamin B6 metabolism	45.45	5 of 11
66794	nitrate assimilation	44.44	4 of 9
66794	tyrosine metabolism	42.86	6 of 14
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	glycine metabolism	40	4 of 10
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	cellulose degradation	40	2 of 5
66794	d-xylose degradation	36.36	4 of 11
66794	cyanate degradation	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	sphingosine metabolism	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	coenzyme M biosynthesis	30	3 of 10
66794	glutathione metabolism	28.57	4 of 14
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	ascorbate metabolism	27.27	6 of 22
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	polyamine pathway	26.09	6 of 23
66794	carnitine metabolism	25	2 of 8
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	phenol degradation	25	5 of 20
66794	biotin biosynthesis	25	1 of 4
66794	allantoin degradation	22.22	2 of 9
66794	4-hydroxymandelate degradation	22.22	2 of 9

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
1356	-	+/-	-	+	+	-	-	-	-	-	-	-	-	-	not determinedn.d.	not determinedn.d.	-	-	-	-	-	-	-	-	-	not determinedn.d.	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type
1356	human faeces
67771	From human faeces

Taxonmaps

69479

Global distribution of 16S sequence FR749934 (>99% sequence identity) for Anaerostipes hadrus subclade from Microbeatlas

Aquatic Samples	983
Soil Samples	188
Animal Samples	54372
Plant Samples	86
Total Samples	55629

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1356	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
124043	ASM3029691v1 assembly for Anaerostipes hadrus ATCC 29173 = JCM 17467	complete	GCA_030296915	649756.3213		649757	97.87
67771	ASM33287v2 assembly for Anaerostipes hadrus ATCC 29173 = JCM 17467 DSM 3319	scaffold	GCA_000332875	649757.3	2534681714	649757	57.33

GC content

1356

GC-content (mol%)32.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Anaerostipes hadrus ATCC 29173 = JCM 17467 DSM 3319
NCBI: GCA_000332875

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	57.10	no
125439	motility	BacteriaNetⓘ	yes	57.50	no
125439	gram_stain	BacteriaNetⓘ	positive	70.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	98.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Anaerostipes hadrus DSM 3319
PATRIC: 649757.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.72	yes
125438	anaerobic	anaerobicⓘ	yes	90.59	yes
125438	spore-forming	spore-formingⓘ	no	53.98	no
125438	aerobic	aerobicⓘ	no	98.90	yes
125438	thermophilic	thermophileⓘ	no	94.99	yes
125438	flagellated	motile2+ⓘ	no	85.05	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Cultivation	MediaMatch: Prediction of Bacterial Growth on Different Culture Media Using the XGBoost Algorithm.	Liu J, Xu G, Liu W, Liu T, Li Y, Tu T, Luo H, Wu N, Yao B, Tian J, Zhang J, Guan F.	Microb Biotechnol	10.1111/1751-7915.70245	2025
	Differences in gut microbiota between Dutch and South-Asian Surinamese: potential implications for type 2 diabetes mellitus.	Nayman EI, Schwartz BA, Polmann M, Gumabong AC, Nieuwdorp M, Cickovski T, Mathee K.	Sci Rep	10.1038/s41598-024-54769-4	2024
	Vitamin B12 analogues from gut microbes and diet differentially impact commensal propionate producers of the human gut.	Kundra P, Greppi A, Duppenthaler M, Pluss S, Pugin B, Lacroix C, Geirnaert A.	Front Nutr	10.3389/fnut.2024.1360199	2024
	Development of culture methods capable of culturing a wide range of predominant species of intestinal bacteria.	Hirano R, Nishita I, Nakai R, Bito A, Sasabe R, Kurihara S.	Front Cell Infect Microbiol	10.3389/fcimb.2023.1056866	2023
	Deciphering oxidative stress responses in human gut microbes and fecal microbiota: a cultivation-based approach.	Zund JN, Caflisch M, Mujezinovic D, Pluss S, Lacroix C, Pugin B.	FEMS Microbiol Ecol	10.1093/femsec/fiaf054	2025
Metabolism	A Diverse Range of Human Gut Bacteria Have the Potential To Metabolize the Dietary Component Gallic Acid.	Esteban-Torres M, Santamaria L, Cabrera-Rubio R, Plaza-Vinuesa L, Crispie F, de Las Rivas B, Cotter P, Munoz R.	Appl Environ Microbiol	10.1128/aem.01558-18	2018
Pathogenicity	Visceral adiposity in postmenopausal women is associated with a pro-inflammatory gut microbiome and immunogenic metabolic endotoxemia.	Gaber M, Wilson AS, Millen AE, Hovey KM, LaMonte MJ, Wactawski-Wende J, Ochs-Balcom HM, Cook KL.	Microbiome	10.1186/s40168-024-01901-1	2024
Metabolism	Microbial short-chain fatty acids modulate CD8⁺ T cell responses and improve adoptive immunotherapy for cancer.	Luu M, Riester Z, Baldrich A, Reichardt N, Yuille S, Busetti A, Klein M, Wempe A, Leister H, Raifer H, Picard F, Muhammad K, Ohl K, Romero R, Fischer F, Bauer CA, Huber M, Gress TM, Lauth M, Danhof S, Bopp T, Nerreter T, Mulder IE, Steinhoff U, Hudecek M, Visekruna A.	Nat Commun	10.1038/s41467-021-24331-1	2021
Metabolism	Accelerated dysbiosis of gut microbiota during aggravation of DSS-induced colitis by a butyrate-producing bacterium.	Zhang Q, Wu Y, Wang J, Wu G, Long W, Xue Z, Wang L, Zhang X, Pang X, Zhao Y, Zhao L, Zhang C.	Sci Rep	10.1038/srep27572	2016
	Xylitol enhances synthesis of propionate in the colon via cross-feeding of gut microbiota.	Xiang S, Ye K, Li M, Ying J, Wang H, Han J, Shi L, Xiao J, Shen Y, Feng X, Bao X, Zheng Y, Ge Y, Zhang Y, Liu C, Chen J, Chen Y, Tian S, Zhu X.	Microbiome	10.1186/s40168-021-01029-6	2021
Metabolism	Determination of Butyrate Synthesis Capacity in Gut Microbiota: Quantification of but Gene Abundance by qPCR in Fecal Samples.	Daskova N, Heczkova M, Modos I, Videnska P, Splichalova P, Pelantova H, Kuzma M, Gojda J, Cahova M.	Biomolecules	10.3390/biom11091303	2021
Genetics	Phylogeny-Aware Analysis of Metagenome Community Ecology Based on Matched Reference Genomes while Bypassing Taxonomy.	Zhu Q, Huang S, Gonzalez A, McGrath I, McDonald D, Haiminen N, Armstrong G, Vazquez-Baeza Y, Yu J, Kuczynski J, Sepich-Poore GD, Swafford AD, Das P, Shaffer JP, Lejzerowicz F, Belda-Ferre P, Havulinna AS, Meric G, Niiranen T, Lahti L, Salomaa V, Kim HC, Jain M, Inouye M, Gilbert JA, Knight R.	mSystems	10.1128/msystems.00167-22	2022
	Developing standards for the microbiome field.	Amos GCA, Logan A, Anwar S, Fritzsche M, Mate R, Bleazard T, Rijpkema S.	Microbiome	10.1186/s40168-020-00856-3	2020
	Comparative in silico analysis of ftsZ gene from different bacteria reveals the preference for core set of codons in coding sequence structuring and secondary structural elements determination.	Pal A, Saha BK, Saha J.	PLoS One	10.1371/journal.pone.0219231	2019
	High-quality-draft genome sequence of the fermenting bacterium Anaerobium acetethylicum type strain GluBS11^T (DSM 29698).	Patil Y, Muller N, Schink B, Whitman WB, Huntemann M, Clum A, Pillay M, Palaniappan K, Varghese N, Mikhailova N, Stamatis D, Reddy TBK, Daum C, Shapiro N, Ivanova N, Kyrpides N, Woyke T, Junghare M.	Stand Genomic Sci	10.1186/s40793-017-0236-4	2017
Genetics	Complete genome sequences of butyrate producing Anaerostipes hadrus strains BA1 and GIF7 isolated from the terminal ileum of a healthy lean male.	Low A, Sheludchenko M, Cheng HE, Koh XQ, Lee JWJ.	Microbiol Resour Announc	10.1128/mra.00701-23	2023
	Computational Screening and Experimental Validation of Natural Compounds that Enhance Butyrate Production in Gut Bacteria and Promote Muscle Cell Mass.	Zhang T, Wu X, Li C, Yue Y, Lee Y, Park S.	ACS Omega	10.1021/acsomega.5c07510	2025
	Evolutionary Insights Into Microbiota Transplantation in Inflammatory Bowel Disease.	Wang X, Zhao J, Feng Y, Feng Z, Ye Y, Liu L, Kang G, Cao X.	Front Cell Infect Microbiol	10.3389/fcimb.2022.916543	2022
Metabolism	Characterization of fructooligosaccharide metabolism and fructooligosaccharide-degrading enzymes in human commensal butyrate producers.	Tanno H, Fujii T, Hirano K, Maeno S, Tonozuka T, Sakamoto M, Ohkuma M, Tochio T, Endo A.	Gut Microbes	10.1080/19490976.2020.1869503	2021
Metabolism	Rationally designed bacterial consortia to treat chronic immune-mediated colitis and restore intestinal homeostasis.	van der Lelie D, Oka A, Taghavi S, Umeno J, Fan TJ, Merrell KE, Watson SD, Ouellette L, Liu B, Awoniyi M, Lai Y, Chi L, Lu K, Henry CS, Sartor RB.	Nat Commun	10.1038/s41467-021-23460-x	2021
Phylogeny	Anaerostipes hadrus comb. nov., a dominant species within the human colonic microbiota; reclassification of Eubacterium hadrum Moore et al. 1976.	Allen-Vercoe E, Daigneault M, White A, Panaccione R, Duncan SH, Flint HJ, O'Neal L, Lawson PA	Anaerobe	10.1016/j.anaerobe.2012.09.002	2012
Phylogeny	Description of Anaerostipes faecalis sp. nov., a new segmented filamentous bacterium isolated from swine faeces.	Choi SH, Choi JY, Park JE, Kim JS, Kang SW, Lee J, Lee MK, Lee JS, Lee JH, Jung H, Hur TY, Kim HB, Lee JH, Kim JK, Hong Y, Park SH	Antonie Van Leeuwenhoek	10.1007/s10482-021-01646-z	2021
Phylogeny	Reclassification of Eubacterium hallii as Anaerobutyricum hallii gen. nov., comb. nov., and description of Anaerobutyricum soehngenii sp. nov., a butyrate and propionate-producing bacterium from infant faeces.	Shetty SA, Zuffa S, Bui TPN, Aalvink S, Smidt H, De Vos WM	Int J Syst Evol Microbiol	10.1099/ijsem.0.003041	2018

References

#1356	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 3319
#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 )
#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 )
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#68380	Automatically annotated from API rID32A .
#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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Anaerostipes hadrus (DSM 3319, ATCC 29173, KCTC 15606)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Enzymes

Pathway annotation

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_030296915

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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