Acetivibrio cellulolyticus CD2 is an anaerobe, mesophilic prokaryote that was isolated from sewage sludge.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Oscillospiraceae |
| Genus Acetivibrio |
| Species Acetivibrio cellulolyticus |
| Full scientific name Acetivibrio cellulolyticus Patel et al. 1980 |
| Synonyms (2) |
| BacDive ID | Other strains from Acetivibrio cellulolyticus (2) | Type strain |
|---|---|---|
| 100649 | A. cellulolyticus STI25003(IMET), H112, | |
| 100650 | A. cellulolyticus STI25004(IMET), H113, |
| 916 | Incubation period8-14 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 916 | ACETIVIBRIO CELLULOLYTICUS MEDIUM (DSMZ Medium 165) | Medium recipe at MediaDive | Name: ACETIVIBRIO CELLULOLYTICUS MEDIUM (DSMZ Medium 165) Composition: Cellulose 2.997 g/l (optional) Cellobiose 2.997 g/l Na2CO3 1.4985 g/l (NH4)2SO4 0.44955 g/l K2HPO4 0.292208 g/l L-Cysteine HCl x H2O 0.24975 g/l Na2S x 9 H2O 0.24975 g/l KH2PO4 0.17982 g/l MgSO4 x 7 H2O 0.02997 g/l Nitrilotriacetic acid 0.014985 g/l NaCl 0.00999001 g/l MnSO4 x H2O 0.00499501 g/l CoSO4 x 7 H2O 0.0017982 g/l ZnSO4 x 7 H2O 0.0017982 g/l FeSO4 x 7 H2O 0.000999001 g/l CaCl2 x 2 H2O 0.000999001 g/l Sodium resazurin 0.0004995 g/l NiCl2 x 6 H2O 0.0002997 g/l AlK(SO4)2 x 12 H2O 0.0001998 g/l Na2MoO4 x 2 H2O 9.99001e-05 g/l H3BO3 9.99001e-05 g/l CuSO4 x 5 H2O 9.99001e-05 g/l Pyridoxine hydrochloride 9.99001e-05 g/l p-Aminobenzoic acid 4.995e-05 g/l (DL)-alpha-Lipoic acid 4.995e-05 g/l Thiamine HCl 4.995e-05 g/l Riboflavin 4.995e-05 g/l Nicotinic acid 4.995e-05 g/l Calcium D-(+)-pantothenate 4.995e-05 g/l Biotin 1.998e-05 g/l Folic acid 1.998e-05 g/l Na2WO4 x 2 H2O 3.996e-06 g/l Na2SeO3 x 5 H2O 2.997e-06 g/l Vitamin B12 9.99001e-07 g/l H2SO4 Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 916 | positive | growth | 37 | mesophilic |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68367 | 17057 ChEBI | cellobiose | + | builds acid from | from API 20A |
| 43408 | 62968 ChEBI | cellulose | + | degradation | |
| 43408 | 62968 ChEBI | cellulose | + | hydrolysis | |
| 68367 | 17634 ChEBI | D-glucose | - | builds acid from | from API 20A |
| 68367 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 20A |
| 68367 | 16024 ChEBI | D-mannose | - | builds acid from | from API 20A |
| 68367 | 65327 ChEBI | D-xylose | - | builds acid from | from API 20A |
| 68367 | 4853 ChEBI | esculin | + | hydrolysis | from API 20A |
| 68367 | 5291 ChEBI | gelatin | + | hydrolysis | from API 20A |
| 68367 | 17754 ChEBI | glycerol | - | builds acid from | from API 20A |
| 68367 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 20A |
| 68367 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API 20A |
| 68367 | 17716 ChEBI | lactose | - | builds acid from | from API 20A |
| 68367 | 17306 ChEBI | maltose | - | builds acid from | from API 20A |
| 68367 | 6731 ChEBI | melezitose | - | builds acid from | from API 20A |
| 68367 | 16634 ChEBI | raffinose | - | builds acid from | from API 20A |
| 68367 | 17814 ChEBI | salicin | - | builds acid from | from API 20A |
| 68367 | 30911 ChEBI | sorbitol | - | builds acid from | from API 20A |
| 68367 | 17992 ChEBI | sucrose | - | builds acid from | from API 20A |
| 68367 | 27082 ChEBI | trehalose | - | builds acid from | from API 20A |
| 68367 | 27897 ChEBI | tryptophan | - | energy source | from API 20A |
| 68367 | 16199 ChEBI | urea | - | hydrolysis | from API 20A |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 916 | sewage sludge | Ontario, Ottawa | Canada | CAN | North America |
Global distribution of 16S sequence NR_025917 (>99% sequence identity) for Acetivibrio cellulolyticus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM17959v2 assembly for Acetivibrio cellulolyticus CD2 | scaffold | 509191 | 53.85 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 72.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 51.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 82.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 95.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 56.06 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 93.05 | no |
| 125438 | aerobic | aerobicⓘ | no | 95.40 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 82.37 | no |
| 125438 | thermophilic | thermophileⓘ | no | 70.06 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 77.77 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Discovery and Biosynthesis of Celluxanthenes, Antibacterial Arylpolyene Alkaloids From Diverse Cellulose-Degrading Anaerobic Bacteria. | Ishida K, Krabbe J, Meisinger PR, Shabuer G, Schieferdecker S, Cyrulies M, Tank C, Barnes E, Paetz C, Hertweck C. | Angew Chem Int Ed Engl | 10.1002/anie.202503697 | 2025 | ||
| Metabolism | Genome-wide analysis of acetivibrio cellulolyticus provides a blueprint of an elaborate cellulosome system. | Dassa B, Borovok I, Lamed R, Henrissat B, Coutinho P, Hemme CL, Huang Y, Zhou J, Bayer EA. | BMC Genomics | 10.1186/1471-2164-13-210 | 2012 | |
| Phylogeny | Molecular biological detection and characterization of Clostridium populations in municipal landfill sites. | Van Dyke MI, McCarthy AJ. | Appl Environ Microbiol | 10.1128/aem.68.4.2049-2053.2002 | 2002 | |
| Structure of CBM3b of the major cellulosomal scaffoldin subunit ScaA from Acetivibrio cellulolyticus. | Yaniv O, Halfon Y, Shimon LJ, Bayer EA, Lamed R, Frolow F. | Acta Crystallogr Sect F Struct Biol Cryst Commun | 10.1107/s174430911104807x | 2012 | ||
| Elaborate cellulosome architecture of Acetivibrio cellulolyticus revealed by selective screening of cohesin-dockerin interactions. | Hamberg Y, Ruimy-Israeli V, Dassa B, Barak Y, Lamed R, Cameron K, Fontes CM, Bayer EA, Fried DB. | PeerJ | 10.7717/peerj.636 | 2014 | ||
| Enzymology | The Electrosome: A Surface-Displayed Enzymatic Cascade in a Biofuel Cell's Anode and a High-Density Surface-Displayed Biocathodic Enzyme. | Szczupak A, Aizik D, Morais S, Vazana Y, Barak Y, Bayer EA, Alfonta L. | Nanomaterials (Basel) | 10.3390/nano7070153 | 2017 | |
| Metabolism | Revisiting the Regulation of the Primary Scaffoldin Gene in Clostridium thermocellum. | Ortiz de Ora L, Munoz-Gutierrez I, Bayer EA, Shoham Y, Lamed R, Borovok I. | Appl Environ Microbiol | 10.1128/aem.03088-16 | 2017 | |
| Metabolism | A novel Acetivibrio cellulolyticus anchoring scaffoldin that bears divergent cohesins. | Xu Q, Barak Y, Kenig R, Shoham Y, Bayer EA, Lamed R. | J Bacteriol | 10.1128/jb.186.17.5782-5789.2004 | 2004 | |
| Metabolism | The cellulosome system of Acetivibrio cellulolyticus includes a novel type of adaptor protein and a cell surface anchoring protein. | Xu Q, Gao W, Ding SY, Kenig R, Shoham Y, Bayer EA, Lamed R. | J Bacteriol | 10.1128/jb.185.15.4548-4557.2003 | 2003 | |
| A novel cellulosomal scaffoldin from Acetivibrio cellulolyticus that contains a family 9 glycosyl hydrolase. | Ding SY, Bayer EA, Steiner D, Shoham Y, Lamed R. | J Bacteriol | 10.1128/jb.181.21.6720-6729.1999 | 1999 | ||
| Studies on Cellulose Hydrolysis by Acetivibrio cellulolyticus. | Mackenzie CR, Bilous D, Patel GB. | Appl Environ Microbiol | 10.1128/aem.50.2.243-248.1985 | 1985 | ||
| Factors Involved in Hydrolysis of Microcrystalline Cellulose by Acetivibrio cellulolyticus. | Mackenzie CR, Patel GB, Bilous D. | Appl Environ Microbiol | 10.1128/aem.53.2.304-308.1987 | 1987 | ||
| Conversion of Cellulose to Methane and Carbon Dioxide by Triculture of Acetivibrio cellulolyticus, Desulfovibrio sp., and Methanosarcina barkeri. | Laube VM, Martin SM. | Appl Environ Microbiol | 10.1128/aem.42.3.413-420.1981 | 1981 | ||
| Metabolism | Specialized cell surface structures in cellulolytic bacteria. | Lamed R, Naimark J, Morgenstern E, Bayer EA. | J Bacteriol | 10.1128/jb.169.8.3792-3800.1987 | 1987 | |
| Metabolism | Contribution of a xylan-binding module to the degradation of a complex cellulosic substrate by designer cellulosomes. | Morais S, Barak Y, Caspi J, Hadar Y, Lamed R, Shoham Y, Wilson DB, Bayer EA. | Appl Environ Microbiol | 10.1128/aem.00266-10 | 2010 |
| #916 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 1870 |
| #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 ) |
| #43408 | Bareket Dassa, Ilya Borovok, Raphael Lamed, Bernard Henrissat, Pedro Coutinho, Christopher L Hemme, Yue Huang, Jizhong Zhou and Edward A Bayer: Genome-wide analysis of acetivibrio cellulolyticus provides a blueprint of an elaborate cellulosome system. BMC Genomics 2012 ( DOI 10.1186/1471-2164-13-210 , PubMed 22646801 ) |
| #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) . |
| #68367 | Automatically annotated from API 20A . |
| #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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