Avibacterium volantium 6 is a microaerophile, mesophilic, Gram-negative prokaryote that was isolated from fowls, respiratory passages.
Gram-negative rod-shaped microaerophile mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pasteurellales |
| Family Pasteurellaceae |
| Genus Avibacterium |
| Species Avibacterium volantium |
| Full scientific name Avibacterium volantium (Mutters et al. 1985) Blackall et al. 2005 |
| Synonyms (1) |
| BacDive ID | Other strains from Avibacterium volantium (5) | Type strain |
|---|---|---|
| 137676 | A. volantium CIP A62, CCM 5765, NCTC 4101, CCM 3839 | |
| 143314 | A. volantium CCUG 18397 | |
| 143338 | A. volantium CCUG 18551 | |
| 144743 | A. volantium CCUG 26443, MCCM 00488 | |
| 144744 | A. volantium CCUG 26444, MCCM 00035 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16421 | CHOCOLATE AGAR (DSMZ Medium 429b) | Medium recipe at MediaDive | Name: CHOCOLATE AGAR (DSMZ Medium 429b) Composition: Horse blood 100.0 g/l Sheep blood 100.0 g/l Columbia agar base | ||
| 40445 | MEDIUM 6 - Columbia agar with 10 % horse blood | Distilled water make up to (1000.000 ml);Columbia agar (39.000 g);Horseblood (100.000 ml) | |||
| 123882 | CIP Medium 6 | Medium recipe at CIP | |||
| 123882 | CIP Medium 118-b | Medium recipe at CIP |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68381 | 40585 ChEBI | alpha-cyclodextrin | - | builds acid from | from API rID32STR |
| 68381 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32STR |
| 68381 | 18333 ChEBI | D-arabitol | - | builds acid from | from API rID32STR |
| 68377 | 15824 ChEBI | D-fructose | + | builds acid from | from API NH |
| 68377 | 17634 ChEBI | D-glucose | + | builds acid from | from API NH |
| 68381 | 16899 ChEBI | D-mannitol | - | builds acid from | from API rID32STR |
| 68381 | 16988 ChEBI | D-ribose | - | builds acid from | from API rID32STR |
| 68381 | 16443 ChEBI | D-tagatose | - | builds acid from | from API rID32STR |
| 68381 | 28087 ChEBI | glycogen | - | builds acid from | from API rID32STR |
| 68381 | 606565 ChEBI | hippurate | - | hydrolysis | from API rID32STR |
| 68381 | 30849 ChEBI | L-arabinose | - | builds acid from | from API rID32STR |
| 68381 | 17716 ChEBI | lactose | - | builds acid from | from API rID32STR |
| 68381 | 17306 ChEBI | maltose | - | builds acid from | from API rID32STR |
| 68377 | 17306 ChEBI | maltose | + | builds acid from | from API NH |
| 68381 | 6731 ChEBI | melezitose | - | builds acid from | from API rID32STR |
| 68381 | 28053 ChEBI | melibiose | - | builds acid from | from API rID32STR |
| 68381 | 320055 ChEBI | methyl beta-D-glucopyranoside | - | builds acid from | from API rID32STR |
| 68377 | 18257 ChEBI | ornithine | - | degradation | from API NH |
| 68381 | 27941 ChEBI | pullulan | - | builds acid from | from API rID32STR |
| 68381 | 16634 ChEBI | raffinose | - | builds acid from | from API rID32STR |
| 68381 | 30911 ChEBI | sorbitol | - | builds acid from | from API rID32STR |
| 68381 | 17992 ChEBI | sucrose | - | builds acid from | from API rID32STR |
| 68381 | 27082 ChEBI | trehalose | - | builds acid from | from API rID32STR |
| 68381 | 16199 ChEBI | urea | - | hydrolysis | from API rID32STR |
| 68377 | 16199 ChEBI | urea | - | hydrolysis | from API NH |
| @ref | Chebi-ID | Metabolite | Production | |
|---|---|---|---|---|
| 68381 | 15688 ChEBI | acetoin | from API rID32STR |
| @ref | Chebi-ID | Metabolite | Voges-proskauer-test | |
|---|---|---|---|---|
| 68381 | 15688 ChEBI | acetoin | - | from API rID32STR |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68381 | Alanyl-Phenylalanyl-Proline arylamidase | - | from API rID32STR | |
| 68381 | alkaline phosphatase | + | 3.1.3.1 | from API rID32STR |
| 68381 | alpha-galactosidase | - | 3.2.1.22 | from API rID32STR |
| 68381 | arginine dihydrolase | - | 3.5.3.6 | from API rID32STR |
| 68381 | beta-galactosidase | - | 3.2.1.23 | from API rID32STR |
| 68381 | beta-glucosidase | - | 3.2.1.21 | from API rID32STR |
| 68381 | beta-glucuronidase | - | 3.2.1.31 | from API rID32STR |
| 68377 | beta-lactamase | + | 3.5.2.6 | from API NH |
| 68381 | beta-mannosidase | - | 3.2.1.25 | from API rID32STR |
| 16421 | catalase | + | 1.11.1.6 | |
| 16421 | cytochrome-c oxidase | + | 1.9.3.1 | |
| 68377 | gamma-glutamyltransferase | - | 2.3.2.2 | from API NH |
| 68381 | glycyl tryptophan arylamidase | - | from API rID32STR | |
| 68381 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32STR |
| 68377 | ornithine decarboxylase | - | 4.1.1.17 | from API NH |
| 68377 | proline-arylamidase | - | 3.4.11.5 | from API NH |
| 68381 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API rID32STR |
| 68381 | urease | - | 3.5.1.5 | from API rID32STR |
| 68377 | urease | - | 3.5.1.5 | from API NH |
| @ref | ADH (Arg) | beta GLU | beta GAR | beta GUR | alpha GAL | PAL | RIB | MAN | SOR | LAC | TRE | RAF | SAC | LARA | DARL | Acid from alpha-cyclodextrinCDEX | Acetoin production (Voges Proskauer test)VP | Alanyl-Phenylalanyl-Proline arylamidaseAPPA | beta GAL | Pyrrolidonyl arylamidasePyrA | N-Acetyl-glucosaminidasebeta NAG | Glycyl-tryptophan arylamidaseGTA | HIP | GLYG | PUL | MAL | MEL | MLZ | Acidification of methyl beta-D-glucopyranosideMbeta DG | TAG | beta MAN | URE | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 16421 | - | - | +/- | - | - | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 78.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 85.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 97.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.35 | no |
| 125438 | aerobic | aerobicⓘ | no | 83.82 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 90.75 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 93.40 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| A Highly Sensitive and Specific Probe-Based Real-Time PCR for the Detection of Avibacterium paragallinarum in Clinical Samples From Poultry. | Kuchipudi SV, Yon M, Surendran Nair M, Byukusenge M, Barry RM, Nissly RH, Williams J, Pierre T, Mathews T, Walner-Pendleton E, Dunn P, Barnhart D, Loughrey S, Davison S, Kelly DJ, Tewari D, Jayarao BM. | Front Vet Sci | 10.3389/fvets.2021.609126 | 2021 | ||
| Enzymology | From sequence to activity: the HgaI-homologous restriction modification system RM.MhoVI of Mycoplasma hominis. | Vogelgsang L, Dolgopolow-Schmidt M, Nisar A, Backer D, Dilthey AT, Henrich B. | BMC Microbiol | 10.1186/s12866-025-04270-3 | 2025 | |
| New molecular diagnostic targets for Avibacterium paragallinarum and a set of single-plex and multiplex qPCR methods for the rapid differential diagnosis of Mycoplasma gallisepticum, Mycoplasma synoviae, and Avibacterium paragallinarum. | Xu B, Wang S, Yao W, Ni B, Yuan T, Liu B, Yuan L, Wei Y, Ma S, Lyu L, Wang X, Ouyang W, Zhang Z, Feng Z. | Poult Sci | 10.1016/j.psj.2025.105665 | 2025 | ||
| Phylogeny | MALDI-TOF mass spectrometry confirms difficulties in separating species of the Avibacterium genus. | Alispahic M, Christensen H, Bisgaard M, Hess M, Hess C. | Avian Pathol | 10.1080/03079457.2014.916038 | 2014 | |
| Phylogeny | Multilocus sequence phylogenetic analysis of Avibacterium. | Bisgaard M, Norskov-Lauritsen N, de Wit SJ, Hess C, Christensen H. | Microbiology (Reading) | 10.1099/mic.0.054429-0 | 2012 | |
| Phylogeny | 16S ribosomal RNA sequencing and molecular serotyping of Avibacterium paragallinarum isolated from Indian field conditions. | Patil VV, Mishra D, Mane DV. | Vet World | 10.14202/vetworld.2017.1004-1007 | 2017 | |
| Phylogeny | Phylogenetic relationships of unclassified, satellitic Pasteurellaceae obtained from different species of birds as demonstrated by 16S rRNA gene sequence comparison. | Christensen H, Blackall PJ, Bisgaard M. | Res Microbiol | 10.1016/j.resmic.2009.05.006 | 2009 | |
| Genetics | Microbial Communities of Meat and Meat Products: An Exploratory Analysis of the Product Quality and Safety at Selected Enterprises in South Africa. | Madoroba E, Magwedere K, Chaora NS, Matle I, Muchadeyi F, Mathole MA, Pierneef R. | Microorganisms | 10.3390/microorganisms9030507 | 2021 | |
| Phylogeny | Reclassification of Pasteurella gallinarum, [Haemophilus] paragallinarum, Pasteurella avium and Pasteurella volantium as Avibacterium gallinarum gen. nov., comb. nov., Avibacterium paragallinarum comb. nov., Avibacterium avium comb. nov. and Avibacterium volantium comb. nov. | Blackall PJ, Christensen H, Beckenham T, Blackall LL, Bisgaard M | Int J Syst Evol Microbiol | 10.1099/ijs.0.63357-0 | 2005 |
| #16421 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22841 |
| #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 ) |
| #40445 | ; Curators of the CIP; |
| #44683 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 3713 |
| #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) . |
| #68377 | Automatically annotated from API NH . |
| #68381 | Automatically annotated from API rID32STR . |
| #123882 | Collection of Institut Pasteur ; Curators of the CIP; CIP 102677 |
| #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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https://doi.org/10.13145/bacdive11696.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data