Acidimicrobium ferrooxidans (DSM 10331, NBRC 103882, ICP)

Name: Acidimicrobium ferrooxidans (DSM 10331, NBRC 103882, ICP)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 106

Type strain

Strain Designation ICP

Culture col. no. DSM 10331 NBRC 103882 ICP JCM 15462

NCBI tax ID(s) 525909 53635

Special Collections DSMZ JCM Literature strains

Links

Acidimicrobium ferrooxidans ICP is an autotroph, thermophilic, Gram-positive prokaryote that was isolated from hot spring run-off.

Gram-positive motile rod-shaped autotroph thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 48814

DSM 10331,NBRC 103882,JCM 15462

@ref 20215

Last LPSN update 2025-12-16 09:46:47

Domain Bacillati

Phylum Actinomycetota

Class Acidimicrobiia

Order Acidimicrobiales

Family Acidimicrobiaceae

Genus Acidimicrobium

Species Acidimicrobium ferrooxidans

Full scientific name Acidimicrobium ferrooxidans Clark and Norris 1996

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
22968	positive	1.0-1.5 µm	0.35-0.4 µm	rod-shaped
125439	negative					94.3

Multimedia

@ref:	66793
multimedia content:	EM_DSM_10331_1.jpg
multimedia.multimedia content:	EM_DSM_10331_1.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3908	ACIDIMICROBIUM MEDIUM (DSMZ Medium 709)		Medium recipe at MediaDive	Name: ACIDIMICROBIUM MEDIUM (DSMZ Medium 709) Composition: MgSO4 x 7 H2O 0.5 g/l (NH4)2SO4 0.4 g/l Yeast extract 0.25 g/l K2HPO4 0.2 g/l KCl 0.1 g/l FeSO4 x 7 H2O 0.01 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
3908	positive	growth	45	thermophilic
22968	positive	optimum	45.0-50.0	thermophilic
67770	positive	growth	45	thermophilic

Culture pH

@ref	Ability	Type	PH	PH range
22968	positive	optimum	2.0	acidophile

Physiology and metabolism

Nutrition type

@ref	Type
22968	autotroph
22968	heterotroph

Spore formation

@ref	Spore formation	Confidence
125439		96.3

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	formaldehyde oxidation	100	3 of 3
66794	methylglyoxal degradation	100	5 of 5
66794	coenzyme A metabolism	100	4 of 4
66794	photosynthesis	100	14 of 14
66794	vitamin K metabolism	100	5 of 5
66794	adipate degradation	100	2 of 2
66794	factor 420 biosynthesis	100	5 of 5
66794	ethanol fermentation	100	2 of 2
66794	cardiolipin biosynthesis	100	7 of 7
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	suberin monomers biosynthesis	100	2 of 2
66794	lactate fermentation	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	leucine metabolism	92.31	12 of 13
66794	threonine metabolism	90	9 of 10
66794	valine metabolism	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	phenylalanine metabolism	84.62	11 of 13
66794	pentose phosphate pathway	81.82	9 of 11
66794	proline metabolism	81.82	9 of 11
66794	ethylmalonyl-CoA pathway	80	4 of 5
66794	lipoate biosynthesis	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	vitamin B12 metabolism	79.41	27 of 34
66794	heme metabolism	78.57	11 of 14
66794	NAD metabolism	77.78	14 of 18
66794	serine metabolism	77.78	7 of 9
66794	vitamin B1 metabolism	76.92	10 of 13
66794	histidine metabolism	75.86	22 of 29
66794	gluconeogenesis	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	acetate fermentation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	flavin biosynthesis	73.33	11 of 15
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	propionate fermentation	70	7 of 10
66794	alanine metabolism	68.97	20 of 29
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	acetoin degradation	66.67	2 of 3
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	octane oxidation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	purine metabolism	64.89	61 of 94
66794	glycolysis	64.71	11 of 17
66794	citric acid cycle	64.29	9 of 14
66794	metabolism of disaccharids	63.64	7 of 11
66794	oxidative phosphorylation	62.64	57 of 91
66794	pyrimidine metabolism	62.22	28 of 45
66794	tryptophan metabolism	60.53	23 of 38
66794	non-pathway related	60.53	23 of 38
66794	phenylacetate degradation (aerobic)	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	arginine metabolism	58.33	14 of 24
66794	methionine metabolism	57.69	15 of 26
66794	glutathione metabolism	57.14	8 of 14
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	lysine metabolism	57.14	24 of 42
66794	degradation of sugar alcohols	56.25	9 of 16
66794	d-xylose degradation	54.55	6 of 11
66794	lipid metabolism	51.61	16 of 31
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	biotin biosynthesis	50	2 of 4
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	Entner Doudoroff pathway	50	5 of 10
66794	phenylmercury acetate degradation	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	tyrosine metabolism	50	7 of 14
66794	glycine metabolism	50	5 of 10
66794	ketogluconate metabolism	50	4 of 8
66794	cysteine metabolism	50	9 of 18
66794	3-phenylpropionate degradation	46.67	7 of 15
66794	carotenoid biosynthesis	45.45	10 of 22
66794	phenol degradation	45	9 of 20
66794	lipid A biosynthesis	44.44	4 of 9
66794	androgen and estrogen metabolism	43.75	7 of 16
66794	benzoyl-CoA degradation	42.86	3 of 7
66794	propanol degradation	42.86	3 of 7
66794	bacilysin biosynthesis	40	2 of 5
66794	3-chlorocatechol degradation	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	degradation of pentoses	39.29	11 of 28
66794	degradation of hexoses	38.89	7 of 18
66794	urea cycle	38.46	5 of 13
66794	vitamin B6 metabolism	36.36	4 of 11
66794	L-lactaldehyde degradation	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	nitrate assimilation	33.33	3 of 9
66794	IAA biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	pantothenate biosynthesis	33.33	2 of 6
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	enterobactin biosynthesis	33.33	1 of 3
66794	coenzyme M biosynthesis	30	3 of 10
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	butanoate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	toluene degradation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	vitamin E metabolism	25	1 of 4
66794	methanogenesis from CO2	25	3 of 12
66794	CMP-KDO biosynthesis	25	1 of 4
66794	bile acid biosynthesis, neutral pathway	23.53	4 of 17

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Condition	#Thermophilic (>45°C)	-
#Environmental	#Aquatic	#Thermal spring
#Condition	#Acidic	-
#Condition	#Sulfuric	-

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
3908	hot spring run-off	Iceland	ISL	Europe
22968	warm,acidic,iron-,sulphur-or mineral-sulphide-rich environments
67770	Icelandic geothermal site

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3908	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
66792	ASM2326v1 assembly for Acidimicrobium ferrooxidans DSM 10331	complete	GCA_000023265	525909.11	644736322	525909	95.72
66792	MiE-14oct19-144 assembly for Acidimicrobium ferrooxidans DSM 10331	contig	GCA_945882605	525909.36		525909	32.8
66792	MiH-22jul19-254 assembly for Acidimicrobium ferrooxidans DSM 10331	contig	GCA_945866315	525909.42		525909	31.2
66792	MsH-30jul19-148 assembly for Acidimicrobium ferrooxidans DSM 10331	contig	GCA_945865395	525909.41		525909	28
66792	MsH-30apr19-324 assembly for Acidimicrobium ferrooxidans DSM 10331	contig	GCA_945900735	525909.39		525909	27.8
66792	MH-08apr19-249 assembly for Acidimicrobium ferrooxidans DSM 10331	contig	GCA_945862375	525909.40		525909	27.4
66792	MoE-23oct19-202 assembly for Acidimicrobium ferrooxidans DSM 10331	contig	GCA_945897875	525909.38		525909	23.2
66792	MH-21oct19-73 assembly for Acidimicrobium ferrooxidans DSM 10331	contig	GCA_945887445	525909.37		525909	18.2

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Acidimicrobium ferrooxidans DSM 10331 16S ribosomal RNA gene, partial sequence	U75647	1465		525909

GC content

@ref	GC-content (mol%)	Method
3908	67.3
22968	67-68.5
67770	68.29	genome sequence analysis
67770	67.3	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Acidimicrobium ferrooxidans DSM 10331
PATRIC: 525909.11

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.30	no
125439	motility	BacteriaNetⓘ	yes	82.80	no
125439	gram_stain	BacteriaNetⓘ	negative	94.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative aerobe	74.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acidimicrobium ferrooxidans DSM 10331 DSM 10331
NCBI: GCA_000023265.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	74.97	no
125438	anaerobic	anaerobicⓘ	no	86.22	no
125438	aerobic	aerobicⓘ	yes	72.25	no
125438	spore-forming	spore-formingⓘ	no	73.76	no
125438	thermophilic	thermophileⓘ	no	78.47	no
125438	flagellated	motile2+ⓘ	no	57.13	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Oxford Nanopore long read-based shotgun metagenomic data sets of simulated bacterial communities originating from fresh spinach and surface water.	Chen Z, Grim CJ, Ramachandran P, Meng J.	Microbiol Resour Announc	10.1128/mra.00586-24	2024
Genetics	Illumina short read-based shotgun metagenomic data sets of simulated bacterial communities derived from fresh spinach and surface water.	Chen Z, Meng J.	Microbiol Resour Announc	10.1128/mra.00375-24	2024
	Sensitivity of the mangrove-estuarine microbial community to aquaculture effluent.	Erazo NG, Bowman JS.	iScience	10.1016/j.isci.2021.102204	2021
	Draft Genome Sequences of Two Novel Acidimicrobiaceae Members from an Acid Mine Drainage Biofilm Metagenome.	Pinto AJ, Sharp JO, Yoder MJ, Almstrand R.	Genome Announc	10.1128/genomea.01563-15	2016
	A tRNA modification with aminovaleramide facilitates AUA decoding in protein synthesis.	Miyauchi K, Kimura S, Akiyama N, Inoue K, Ishiguro K, Vu TS, Srisuknimit V, Koyama K, Hayashi G, Soma A, Nagao A, Shirouzu M, Okamoto A, Waldor MK, Suzuki T.	Nat Chem Biol	10.1038/s41589-024-01726-x	2025
Genetics	Comparative genomics of the proteostasis network in extreme acidophiles.	Izquierdo-Fiallo K, Munoz-Villagran C, Orellana O, Sjoberg R, Levican G.	PLoS One	10.1371/journal.pone.0291164	2023
Phylogeny	Bacterial and archaeal communities in Lake Nyos (Cameroon, Central Africa).	Tiodjio RE, Sakatoku A, Nakamura A, Tanaka D, Fantong WY, Tchakam KB, Tanyileke G, Ohba T, Hell VJ, Kusakabe M, Nakamura S, Ueda A.	Sci Rep	10.1038/srep06151	2014
	Complete genome sequence of Acidimicrobium ferrooxidans type strain (ICP).	Clum A, Nolan M, Lang E, Glavina Del Rio T, Tice H, Copeland A, Cheng JF, Lucas S, Chen F, Bruce D, Goodwin L, Pitluck S, Ivanova N, Mavrommatis K, Mikhailova N, Pati A, Chen A, Palaniappan K, Goker M, Spring S, Land M, Hauser L, Chang YJ, Jeffries CC, Chain P, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP, Lapidus A.	Stand Genomic Sci	10.4056/sigs.1463	2009
	Codon usage bias reveals genomic adaptations to environmental conditions in an acidophilic consortium.	Hart A, Cortes MP, Latorre M, Martinez S.	PLoS One	10.1371/journal.pone.0195869	2018
Genetics	A Phylogenomic and Molecular Markers Based Analysis of the Class Acidimicrobiia.	Hu D, Cha G, Gao B.	Front Microbiol	10.3389/fmicb.2018.00987	2018
	Cellular assays identify barriers impeding iron-sulfur enzyme activity in a non-native prokaryotic host.	D'Angelo F, Fernandez-Fueyo E, Garcia PS, Shomar H, Pelosse M, Manuel RR, Buke F, Liu S, van den Broek N, Duraffourg N, de Ram C, Pabst M, Bouveret E, Gribaldo S, Py B, Ollagnier de Choudens S, Barras F, Bokinsky G.	Elife	10.7554/elife.70936	2022
Phylogeny	Genomic and transcriptomic insights into the ecology and metabolism of benthic archaeal cosmopolitan, Thermoprofundales (MBG-D archaea).	Zhou Z, Liu Y, Lloyd KG, Pan J, Yang Y, Gu JD, Gu JD, Li M.	ISME J	10.1038/s41396-018-0321-8	2019
Genetics	DciA is an ancestral replicative helicase operator essential for bacterial replication initiation.	Brezellec P, Vallet-Gely I, Possoz C, Quevillon-Cheruel S, Ferat JL.	Nat Commun	10.1038/ncomms13271	2016
	Complete genome sequence of Ilumatobacter coccineum YM16-304(T.).	Fujinami S, Takarada H, Kasai H, Sekine M, Omata S, Harada T, Fukai R, Hosoyama A, Horikawa H, Kato Y, Nakazawa H, Fujita N.	Stand Genomic Sci	10.4056/sigs.4007734	2013
Metabolism	Biomarker panels for characterizing microbial community biofilm formation as composite molecular process.	Bosse M, Heuwieser A, Heinzel A, Lukas A, Oliveira G, Mayer B.	PLoS One	10.1371/journal.pone.0202032	2018
	Filling gaps in bacterial amino acid biosynthesis pathways with high-throughput genetics.	Price MN, Zane GM, Kuehl JV, Melnyk RA, Wall JD, Deutschbauer AM, Arkin AP.	PLoS Genet	10.1371/journal.pgen.1007147	2018
Enzymology	Evaluation of a fluorescent lectin-based staining technique for some acidophilic mining bacteria.	Fife DJ, Bruhn DF, Miller KS, Stoner DL.	Appl Environ Microbiol	10.1128/aem.66.5.2208-2210.2000	2000
Pathogenicity	Microbial copper resistance: importance in biohydrometallurgy.	Martinez-Bussenius C, Navarro CA, Jerez CA.	Microb Biotechnol	10.1111/1751-7915.12450	2017
	Advances in Understanding Carboxysome Assembly in Prochlorococcus and Synechococcus Implicate CsoS2 as a Critical Component.	Cai F, Dou Z, Bernstein SL, Leverenz R, Williams EB, Heinhorst S, Shively J, Cannon GC, Kerfeld CA.	Life (Basel)	10.3390/life5021141	2015
Metabolism	Isolation, identification and characterization of Paenibacillus polymyxa CR1 with potentials for biopesticide, biofertilization, biomass degradation and biofuel production.	Weselowski B, Nathoo N, Eastman AW, MacDonald J, Yuan ZC.	BMC Microbiol	10.1186/s12866-016-0860-y	2016
Genetics	Omics on bioleaching: current and future impacts.	Martinez P, Vera M, Bobadilla-Fazzini RA.	Appl Microbiol Biotechnol	10.1007/s00253-015-6903-8	2015
	Comparing the similarity of different groups of bacteria to the human proteome.	Trost B, Pajon R, Jayaprakash T, Kusalik A.	PLoS One	10.1371/journal.pone.0034007	2012
	Ortholog-Finder: A Tool for Constructing an Ortholog Data Set.	Horiike T, Minai R, Miyata D, Nakamura Y, Tateno Y.	Genome Biol Evol	10.1093/gbe/evw005	2016
Phenotype	Predicting phenotypic traits of prokaryotes from protein domain frequencies.	Lingner T, Muhlhausen S, Gabaldon T, Notredame C, Meinicke P.	BMC Bioinformatics	10.1186/1471-2105-11-481	2010
Phylogeny	Microbial community analysis in the roots of aquatic plants and isolation of novel microbes including an organism of the candidate phylum OP10.	Tanaka Y, Tamaki H, Matsuzawa H, Nigaya M, Mori K, Kamagata Y.	Microbes Environ	10.1264/jsme2.me11288	2012
Metabolism	The mixed lineage nature of nitrogen transport and assimilation in marine eukaryotic phytoplankton: a case study of micromonas.	McDonald SM, Plant JN, Worden AZ.	Mol Biol Evol	10.1093/molbev/msq113	2010
Phylogeny	Distribution and phylogenetic analysis of family 19 chitinases in Actinobacteria.	Kawase T, Saito A, Sato T, Kanai R, Fujii T, Nikaidou N, Miyashita K, Watanabe T.	Appl Environ Microbiol	10.1128/aem.70.2.1135-1144.2004	2004
	Characterization of bacterial community structure in a drinking water distribution system during an occurrence of red water.	Li D, Li Z, Yu J, Cao N, Liu R, Yang M.	Appl Environ Microbiol	10.1128/aem.00832-10	2010
	Annotation of Protein Domains Reveals Remarkable Conservation in the Functional Make up of Proteomes Across Superkingdoms.	Nasir A, Naeem A, Khan MJ, Nicora HD, Caetano-Anolles G.	Genes (Basel)	10.3390/genes2040869	2011
Genetics	Genomic basis for natural product biosynthetic diversity in the actinomycetes.	Nett M, Ikeda H, Moore BS.	Nat Prod Rep	10.1039/b817069j	2009
Phylogeny	Phylogenetic framework and molecular signatures for the main clades of the phylum Actinobacteria.	Gao B, Gupta RS.	Microbiol Mol Biol Rev	10.1128/mmbr.05011-11	2012
	Mathematical modeling and comparison of protein size distribution in different plant, animal, fungal and microbial species reveals a negative correlation between protein size and protein number, thus providing insight into the evolution of proteomes.	Tiessen A, Perez-Rodriguez P, Delaye-Arredondo LJ.	BMC Res Notes	10.1186/1756-0500-5-85	2012
Phylogeny	Ilumatobacter fluminis gen. nov., sp. nov., a novel actinobacterium isolated from the sediment of an estuary.	Matsumoto A, Kasai H, Matsuo Y, Omura S, Shizuri Y, Takahashi Y	J Gen Appl Microbiol	10.2323/jgam.55.201	2009
Phylogeny	Iamia majanohamensis gen. nov., sp. nov., an actinobacterium isolated from sea cucumber Holothuria edulis, and proposal of Iamiaceae fam. nov.	Kurahashi M, Fukunaga Y, Sakiyama Y, Harayama S, Yokota A	Int J Syst Evol Microbiol	10.1099/ijs.0.005611-0	2009

References

#3908	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 10331
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#22968	Darren A. Clark,Paul R. Norris: Acidimicrobium ferrooxidans gen. nov., sp. nov.: mixed-culture ferrous iron oxidation with Sulfobacillus species. IJSEM 142: 785 - 790 1996 ( DOI 10.1099/00221287-142-4-785 , PubMed 33725781 )
#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) .
#66793	Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 )
#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;
#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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Acidimicrobium ferrooxidans (DSM 10331, NBRC 103882, ICP)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Nutrition type

Spore formation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000023265

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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