Abyssicoccus albus DSM 29158 is a mesophilic prokaryote that was isolated from deep sea sediment.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Staphylococcaceae |
| Genus Abyssicoccus |
| Species Abyssicoccus albus |
| Full scientific name Abyssicoccus albus Jiang et al. 2016 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | positive | 91.989 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 24347 | TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) | Medium recipe at MediaDive | Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water |
| 67770 | Observationquinones: MK-6, MK-7 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | lipoate biosynthesis | 100 | 5 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 100 | 15 of 15 | ||
| 66794 | acetoin degradation | 100 | 3 of 3 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 95.45 | 21 of 22 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | pentose phosphate pathway | 81.82 | 9 of 11 | ||
| 66794 | aspartate and asparagine metabolism | 77.78 | 7 of 9 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | pyrimidine metabolism | 73.33 | 33 of 45 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | photosynthesis | 71.43 | 10 of 14 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | methionine metabolism | 69.23 | 18 of 26 | ||
| 66794 | purine metabolism | 69.15 | 65 of 94 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | heme metabolism | 64.29 | 9 of 14 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 62.5 | 5 of 8 | ||
| 66794 | gluconeogenesis | 62.5 | 5 of 8 | ||
| 66794 | isoprenoid biosynthesis | 61.54 | 16 of 26 | ||
| 66794 | phenylalanine metabolism | 61.54 | 8 of 13 | ||
| 66794 | NAD metabolism | 61.11 | 11 of 18 | ||
| 66794 | non-pathway related | 60.53 | 23 of 38 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | starch degradation | 60 | 6 of 10 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | citric acid cycle | 57.14 | 8 of 14 | ||
| 66794 | degradation of sugar alcohols | 56.25 | 9 of 16 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | valine metabolism | 55.56 | 5 of 9 | ||
| 66794 | glutamate and glutamine metabolism | 53.57 | 15 of 28 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | isoleucine metabolism | 50 | 4 of 8 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | oxidative phosphorylation | 48.35 | 44 of 91 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | alanine metabolism | 44.83 | 13 of 29 | ||
| 66794 | tryptophan metabolism | 44.74 | 17 of 38 | ||
| 66794 | CO2 fixation in Crenarchaeota | 44.44 | 4 of 9 | ||
| 66794 | serine metabolism | 44.44 | 4 of 9 | ||
| 66794 | propanol degradation | 42.86 | 3 of 7 | ||
| 66794 | ubiquinone biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | glutathione metabolism | 42.86 | 6 of 14 | ||
| 66794 | propionate fermentation | 40 | 4 of 10 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | urea cycle | 38.46 | 5 of 13 | ||
| 66794 | leucine metabolism | 38.46 | 5 of 13 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | lipid metabolism | 35.48 | 11 of 31 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 33.33 | 4 of 12 | ||
| 66794 | arginine metabolism | 33.33 | 8 of 24 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | threonine metabolism | 30 | 3 of 10 | ||
| 66794 | tyrosine metabolism | 28.57 | 4 of 14 | ||
| 66794 | reductive acetyl coenzyme A pathway | 28.57 | 2 of 7 | ||
| 66794 | degradation of hexoses | 27.78 | 5 of 18 | ||
| 66794 | histidine metabolism | 27.59 | 8 of 29 | ||
| 66794 | ascorbate metabolism | 27.27 | 6 of 22 | ||
| 66794 | lysine metabolism | 26.19 | 11 of 42 | ||
| 66794 | degradation of pentoses | 25 | 7 of 28 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | sulfate reduction | 23.08 | 3 of 13 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 |
Global distribution of 16S sequence KT935587 (>99% sequence identity) for Abyssicoccus albus subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 24347 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM381503v1 assembly for Abyssicoccus albus DSM 29158 | scaffold | 1817405 | 72.27 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 24347 | Abyssicoccus albus strain LIPI11-2-Ac043 16S ribosomal RNA gene, partial sequence | KT935587 | 1576 | 1817405 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 81.60 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 63.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 73.50 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 76.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 91.99 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.24 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 80.06 | no |
| 125438 | aerobic | aerobicⓘ | yes | 65.75 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.66 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 85.71 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Expanding the Genome-Editing Toolbox with Abyssicoccus albus Cas9 Using a Unique Protospacer Adjacent Motif Sequence. | Nakamura A, Yamamoto H, Yano T, Hasegawa R, Makino Y, Mitsuda N, Terakawa T, Ito S, Sugano SS. | CRISPR J | 10.1089/crispr.2024.0013 | 2024 | ||
| Phylogeny | Unification of Abyssicoccus albus Jiang et al. 2016 and Auricoccus indicus Prakash et al. 2017 and the status of the genus Auricoccus Prakash et al. 2017. | Dobritsa AP, Samadpour M. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004479 | 2020 | |
| Phylogeny | Phylogenomic analyses of the Staphylococcaceae family suggest the reclassification of five species within the genus Staphylococcus as heterotypic synonyms, the promotion of five subspecies to novel species, the taxonomic reassignment of five Staphylococcus species to Mammaliicoccus gen. nov., and the formal assignment of Nosocomiicoccus to the family Staphylococcaceae. | Madhaiyan M, Wirth JS, Saravanan VS. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004498 | 2020 | |
| Indoor metabolites and chemicals outperform microbiome in classifying childhood asthma and allergic rhinitis. | Sun Y, Tang H, Du S, Chen Y, Ou Z, Zhang M, Chen Z, Tang Z, Zhang D, Chen T, Xu Y, Li J, Norback D, Hashim JH, Hashim Z, Shao J, Fu X, Zhao Z. | Eco Environ Health | 10.1016/j.eehl.2023.08.001 | 2023 | ||
| Homology modeling, virtual screening, molecular docking, and dynamics studies for discovering Staphylococcus epidermidis FtsZ inhibitors. | Vemula D, Maddi DR, Bhandari V. | Front Mol Biosci | 10.3389/fmolb.2023.1087676 | 2023 | ||
| Genetics | Whole Genome Sequencing of Staphylococci Isolated From Bovine Milk Samples. | Fergestad ME, Touzain F, De Vliegher S, De Visscher A, Thiry D, Ngassam Tchamba C, Mainil JG, L'Abee-Lund T, Blanchard Y, Wasteson Y. | Front Microbiol | 10.3389/fmicb.2021.715851 | 2021 | |
| Phylogeny | Abyssicoccus albus gen. nov., sp. nov., a novel member of the family Staphylococcaceae isolated from marine sediment of the Indian Ocean. | Jiang Z, Yuan CG, Xiao M, Tian XP, Khan IU, Kim CJ, Zhi XY, Li WJ | Antonie Van Leeuwenhoek | 10.1007/s10482-016-0717-2 | 2016 |
| #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 ) |
| #24347 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29158 |
| #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; |
| #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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