Ignavibacterium album (DSM 19864, NBRC 101810, Mat9-16)

Name: Ignavibacterium album (DSM 19864, NBRC 101810, Mat9-16)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17819

Type strain

Strain Designation Mat9-16

Culture col. no. DSM 19864 NBRC 101810 Mat9-16 JCM 16511

NCBI tax ID(s) 945713 591197

Special Collections DSMZ JCM Literature strains

History DSMZ <- T. Iino, Natl. Inst. of Technol. and Evaluation (NITE), Japan; Mat9-16 JCM <-- NBRC 101810 <-- T. Iino Mat9-16.

Links

Ignavibacterium album Mat9-16 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from bacterial mats in hot spring water streams.

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

Name and taxonomic classification

SI-ID 397587

NBRC 101810,JCM 16511,DSM 19864

@ref 20215

Last LPSN update 2026-05-29 08:29:06

Domain Bacteria

Phylum Chlorobiota

Class Ignavibacteria

Order Ignavibacteriales

Family Ignavibacteriaceae

Genus Ignavibacterium

Species Ignavibacterium album

Full scientific name Ignavibacterium album Iino et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29407	negative	8.75 µm	0.25 µm	rod-shaped
125438	negative				95.209
125439	negative				98.227

Pigmentation

29407

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8359	GS MEDIUM (DSMZ Medium 1397)		Medium recipe at MediaDive	Name: GS MEDIUM (DSMZ Medium 1397) Composition: NaHCO3 5.0 g/l MgCl2 x 6 H2O 4.0 g/l Trypticase peptone 2.0 g/l Yeast extract 2.0 g/l Glucose 1.8 g/l Na2S x 9 H2O 0.5 g/l Cysteine-HCl 0.5 g/l KCl 0.355 g/l NH4Cl 0.25 g/l KH2PO4 0.14 g/l MgSO4 x 7 H2O 0.03 g/l Nitrilotriacetic acid 0.015 g/l NaCl 0.01 g/l MnSO4 x H2O 0.005 g/l Fe(NH4)2(SO4)2 x 6 H2O 0.002 g/l CoSO4 x 7 H2O 0.0018 g/l ZnSO4 x 7 H2O 0.0018 g/l CaCl2 x 2 H2O 0.001 g/l Resazurin 0.001 g/l FeSO4 x 7 H2O 0.001 g/l NiCl2 x 6 H2O 0.0003 g/l AlK(SO4)2 x 12 H2O 0.0002 g/l H3BO3 0.0001 g/l Na2MoO4 x 2 H2O 0.0001 g/l CuSO4 x 5 H2O 0.0001 g/l Pyridoxine hydrochloride 0.0001 g/l Nicotinic acid 5e-05 g/l D-Calcium pantothenate 5e-05 g/l p-Aminobenzoic acid 5e-05 g/l Riboflavin 5e-05 g/l Thiamine-HCl x 2 H2O 5e-05 g/l Lipoic acid 5e-05 g/l Biotin 2e-05 g/l Folic acid 2e-05 g/l Na2SeO3 x 5 H2O 3e-06 g/l Vitamin B12 1e-06 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
8359	positive	growth	45
29407	positive	growth	30-55
29407	positive	optimum	45
67770	positive	growth	45

Culture pH

@ref	Ability	Type	PH
29407	positive	optimum	7.25
29407	positive	growth	6.5-8

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29407	anaerobe
125439	obligate aerobe	98.353

Spore formation

@ref	Spore formation	Confidence
29407
125439		98.741

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29407	NaCl	positive	growth	<3 %
29407	NaCl	positive	optimum	1 %

Observation

67770

Observationquinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29407	17057 ChEBI	cellobiose	+	carbon source
29407	28757 ChEBI	fructose	+	carbon source
29407	17234 ChEBI	glucose	+	carbon source
29407	17306 ChEBI	maltose	+	carbon source
29407	37684 ChEBI	mannose	+	carbon source
29407	17814 ChEBI	salicin	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Spring
#Host	#Microbial	#Bacteria

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
8359	bacterial mats in hot spring water streams	Nagano, Yumata	Japan	JPN	Asia
67770	Hot spring water streams from Yumata	Nagano Pref.	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence AB478415 (>99% sequence identity) for Ignavibacterium album subclade from Microbeatlas

Aquatic Samples	683
Soil Samples	231
Animal Samples	236
Plant Samples	15
Total Samples	1165

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8359	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	ASM25840v1 assembly for Ignavibacterium album JCM 16511	complete	GCA_000258405	945713.3	2513237218	945713	98.98

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
8359	Ignavibacterium album gene for 16S rRNA, partial sequence	AB478415	1461		945713

GC content

@ref	GC-content (mol%)	Method
8359	33.5	high performance liquid chromatography (HPLC)
29407	33.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM25840v1 assembly for Ignavibacterium album JCM 16511
BV-BRC: 945713.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.35	no
125439	motility	BacteriaNetⓘ	no	79.72	no
125439	gram_stain	BacteriaNetⓘ	negative	98.23	no
125439	spore_formation	BacteriaNetⓘ	no	98.74	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Ignavibacterium album JCM 16511 JCM 16511
NCBI: GCA_000258405.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.21	yes
125438	anaerobic	anaerobicⓘ	no	59.49	yes
125438	aerobic	aerobicⓘ	no	55.25	yes
125438	spore-forming	spore-formingⓘ	no	87.61	yes
125438	thermophilic	thermophileⓘ	no	73.31	no
125438	flagellated	motile2+ⓘ	yes	53.68	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	The Histidine Biosynthetic Genes in the Superphylum Bacteroidota-Rhodothermota-Balneolota-Chlorobiota: Insights into the Evolution of Gene Structure and Organization.	Del Duca S, Riccardi C, Vassallo A, Fontana G, Castronovo LM, Chioccioli S, Fani R.	Microorganisms	10.3390/microorganisms9071439	2021
	Dissimilatory nitrate reduction to ammonium in four Pseudomonas spp. under aerobic conditions.	Huang X, Luoluo, Xie D, Li Z.	Heliyon	10.1016/j.heliyon.2023.e14983	2023
	Organic matter degradation in the deep, sulfidic waters of the Black Sea: insights into the ecophysiology of novel anaerobic bacteria.	Yadav S, Koenen M, Bale NJ, Reitsma W, Engelmann JC, Stefanova K, Damste JSS, Villanueva L.	Microbiome	10.1186/s40168-024-01816-x	2024
Genetics	Investigating the Composition and Metabolic Potential of Microbial Communities in Chocolate Pots Hot Springs.	Fortney NW, He S, Converse BJ, Boyd ES, Roden EE.	Front Microbiol	10.3389/fmicb.2018.02075	2018
Metabolism	Distribution of glucan-branching enzymes among prokaryotes.	Suzuki E, Suzuki R.	Cell Mol Life Sci	10.1007/s00018-016-2243-9	2016
	Effect of light wavelength on hot spring microbial mat biodiversity.	Nishida A, Thiel V, Nakagawa M, Ayukawa S, Yamamura M.	PLoS One	10.1371/journal.pone.0191650	2018
Metabolism	Light-dependent sulfide oxidation in the anoxic zone of the Chesapeake Bay can be explained by small populations of phototrophic bacteria.	Findlay AJ, Bennett AJ, Hanson TE, Luther GW.	Appl Environ Microbiol	10.1128/aem.02062-15	2015
Genetics	Diurnal Changes in Active Carbon and Nitrogen Pathways Along the Temperature Gradient in Porcelana Hot Spring Microbial Mat.	Alcaman-Arias ME, Pedros-Alio C, Tamames J, Fernandez C, Perez-Pantoja D, Vasquez M, Diez B.	Front Microbiol	10.3389/fmicb.2018.02353	2018
Genetics	Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem.	Johnston ER, Rodriguez-R LM, Luo C, Yuan MM, Wu L, He Z, Schuur EA, Luo Y, Tiedje JM, Zhou J, Konstantinidis KT.	Front Microbiol	10.3389/fmicb.2016.00579	2016
Metabolism	Computational and experimental analysis of the secretome of Methylococcus capsulatus (Bath).	Indrelid S, Mathiesen G, Jacobsen M, Lea T, Kleiveland CR.	PLoS One	10.1371/journal.pone.0114476	2014
Biotechnology	Discovery and Biotechnological Exploitation of Glycoside-Phosphorylases.	Li A, Benkoulouche M, Ladeveze S, Durand J, Cioci G, Laville E, Potocki-Veronese G.	Int J Mol Sci	10.3390/ijms23063043	2022
	Genomic analyses of bacterial porin-cytochrome gene clusters.	Shi L, Fredrickson JK, Zachara JM	Front Microbiol	10.3389/fmicb.2014.00657	2014
Phylogeny	Ignavibacterium album gen. nov., sp. nov., a moderately thermophilic anaerobic bacterium isolated from microbial mats at a terrestrial hot spring and proposal of Ignavibacteria classis nov., for a novel lineage at the periphery of green sulfur bacteria.	Iino T, Mori K, Uchino Y, Nakagawa T, Harayama S, Suzuki KI	Int J Syst Evol Microbiol	10.1099/ijs.0.012484-0	2009

References

#8359	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19864
#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 )
#25814	IJSEM 1376 2010 ( DOI 10.1099/ijs.0.012484-0 , PubMed 19671715 )
#29407	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 #25814
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Ignavibacterium album (DSM 19864, NBRC 101810, Mat9-16)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000258405

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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