Clostridium formicaceticum A1 is an anaerobe, mesophilic prokaryote that was isolated from sewage plant.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Clostridiaceae |
| Genus Clostridium |
| Species Clostridium formicaceticum |
| Full scientific name Clostridium formicaceticum corrig. Andreesen et al. 1970 (Approved Lists 1980) |
| Synonyms (2) |
| BacDive ID | Other strains from Clostridium formicaceticum (7) | Type strain |
|---|---|---|
| 2589 | C. formicaceticum 5(1)b, DSM 94, ATCC 27077 | |
| 2590 | C. formicaceticum 12(1)c, DSM 95 | |
| 2591 | C. formicaceticum 12(3)b, DSM 96 | |
| 2592 | C. formicaceticum 26(1)a, DSM 97 | |
| 2593 | C. formicaceticum 29(2)b, DSM 98, ATCC 27078 | |
| 2594 | C. formicaceticum 32(1)b, DSM 99 | |
| 2595 | C. formicaceticum 34(1)a, DSM 100 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2068 | CLOSTRIDIUM FORMICACETICUM MEDIUM (DSMZ Medium 14) | Medium recipe at MediaDive | Name: CLOSTRIDIUM FORMICACETICUM MEDIUM (DSMZ Medium 14) Composition: Agar 14.8368 g/l K2HPO4 9.8912 g/l Yeast extract 4.9456 g/l D-Fructose 4.9456 g/l Na2CO3 0.98912 g/l Na-thioglycolate 0.74184 g/l Na2-EDTA 0.0049456 g/l H3BO3 0.00296736 g/l CoCl2 x 6 H2O 0.00197824 g/l FeSO4 x 7 H2O 0.00197824 g/l ZnSO4 x 7 H2O 0.00098912 g/l Pyridoxine hydrochloride 0.00098912 g/l Sodium resazurin 0.00049456 g/l Na2MoO4 x 2 H2O 0.000296736 g/l MnCl2 x 4 H2O 0.000296736 g/l NiCl2 x 6 H2O 0.000197824 g/l CuCl2 x 2 H2O 9.8912e-05 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 2068 | positive | growth | 37 | mesophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 2068 | sewage plant | Göttingen | Germany | DEU | Europe |
Global distribution of 16S sequence HF679208 (>99% sequence identity) for Clostridium formicaceticum from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM185418v1 assembly for Clostridium formicaceticum ATCC 27076 | complete | 1497 | 98.42 | ||||
| 124043 | ASM208047v1 assembly for Clostridium formicaceticum DSM 92 | complete | 1497 | 98.41 | ||||
| 66792 | Clostridium formicaceticum A1 | complete | 1497 | 81.77 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Clostridium formicaceticum strain ATCC 27076 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence | DQ834679 | 422 | 1497 | ||
| 20218 | Clostridium formicaceticum 16S rRNA gene, strain DSM 92 | X77836 | 1521 | 1497 | ||
| 2068 | Clostridium formicaceticum partial 16S rRNA gene, type strain DSM 92T | HF679208 | 1515 | 1497 |
| 2068 | GC-content (mol%)34.0 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 78.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 80.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 70.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 98.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 59.90 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 90.33 | yes |
| 125438 | aerobic | aerobicⓘ | no | 91.35 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 78.07 | no |
| 125438 | thermophilic | thermophileⓘ | no | 82.87 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 83.75 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| A mesophilic Argonaute from Clostridium formicaceticum with efficient DNA cleavage activity guided by small DNA. | Li J, Yu M, Yang Z, Zhou Y, Teng Y, Wang Z, Chen J, Lai J, Xin B. | Structure | 10.1016/j.str.2025.03.002 | 2025 | |
| Batch-Mode Analysis of Thermophilic Methanogenic Microbial Community Changes in the Overacidification Stage in Beverage Waste Treatment. | Matsuda S, Yamato T, Mochizuki Y, Sekiguchi Y, Ohtsuki T. | Int J Environ Res Public Health | 10.3390/ijerph17207514 | 2020 | |
| Energy conservation under extreme energy limitation: the role of cytochromes and quinones in acetogenic bacteria. | Rosenbaum FP, Muller V. | Extremophiles | 10.1007/s00792-021-01241-0 | 2021 | |
| Homo-Acetogens: Their Metabolism and Competitive Relationship with Hydrogenotrophic Methanogens. | Karekar S, Stefanini R, Ahring B. | Microorganisms | 10.3390/microorganisms10020397 | 2022 | |
| The Sporomusa type Nfn is a novel type of electron-bifurcating transhydrogenase that links the redox pools in acetogenic bacteria. | Kremp F, Roth J, Muller V. | Sci Rep | 10.1038/s41598-020-71038-2 | 2020 | |
| High-Throughput Sequencing and Unsupervised Analysis of Formyltetrahydrofolate Synthetase (FTHFS) Gene Amplicons to Estimate Acetogenic Community Structure. | Singh A, Nylander JAA, Schnurer A, Bongcam-Rudloff E, Muller B. | Front Microbiol | 10.3389/fmicb.2020.02066 | 2020 | |
| Genomic Insights Into Energy Metabolism of Carboxydocella thermautotrophica Coupling Hydrogenogenic CO Oxidation With the Reduction of Fe(III) Minerals. | Toshchakov SV, Lebedinsky AV, Sokolova TG, Zavarzina DG, Korzhenkov AA, Teplyuk AV, Chistyakova NI, Rusakov VS, Bonch-Osmolovskaya EA, Kublanov IV, Gavrilov SN. | Front Microbiol | 10.3389/fmicb.2018.01759 | 2018 | |
| Using gas mixtures of CO, CO2 and H2 as microbial substrates: the do's and don'ts of successful technology transfer from laboratory to production scale. | Takors R, Kopf M, Mampel J, Bluemke W, Blombach B, Eikmanns B, Bengelsdorf FR, Weuster-Botz D, Durre P. | Microb Biotechnol | 10.1111/1751-7915.13270 | 2018 | |
| The enrichment of an alkaliphilic biofilm consortia capable of the anaerobic degradation of isosaccharinic acid from cellulosic materials incubated within an anthropogenic, hyperalkaline environment. | Charles CJ, Rout SP, Garratt EJ, Patel K, Laws AP, Humphreys PN. | FEMS Microbiol Ecol | 10.1093/femsec/fiv085 | 2015 | |
| Evidence for a hexaheteromeric methylenetetrahydrofolate reductase in Moorella thermoacetica. | Mock J, Wang S, Huang H, Kahnt J, Thauer RK. | J Bacteriol | 10.1128/jb.01839-14 | 2014 | |
| Single gene insertion drives bioalcohol production by a thermophilic archaeon. | Basen M, Schut GJ, Nguyen DM, Lipscomb GL, Benn RA, Prybol CJ, Vaccaro BJ, Poole FL, Kelly RM, Adams MW, Adams MW. | Proc Natl Acad Sci U S A | 10.1073/pnas.1413789111 | 2014 | |
| First insights into the syntrophic acetate-oxidizing bacteria--a genetic study. | Muller B, Sun L, Schnurer A. | Microbiologyopen | 10.1002/mbo3.50 | 2013 | |
| Complete Genome Sequence of the Autotrophic Acetogen Clostridium formicaceticum DSM 92(T) Using Nanopore and Illumina Sequencing Data. | Karl MM, Poehlein A, Bengelsdorf FR, Daniel R, Durre P | Genome Announc | 10.1128/genomeA.00423-17 | 2017 | |
| Anaerovirgula multivorans gen. nov., sp. nov., a novel spore-forming, alkaliphilic anaerobe isolated from Owens Lake, California, USA. | Pikuta EV, Itoh T, Krader P, Tang J, Whitman WB, Hoover RB. | Int J Syst Evol Microbiol | 10.1099/ijs.0.64198-0 | 2006 |
| #2068 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 92 |
| #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 ) |
| #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) . |
| #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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