Parabacteroides johnsonii M-165 is an anaerobe, mesophilic, Gram-negative prokaryote that was isolated from human faeces.
Gram-negative rod-shaped anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Tannerellaceae |
| Genus Parabacteroides |
| Species Parabacteroides johnsonii |
| Full scientific name Parabacteroides johnsonii Sakamoto et al. 2007 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 7499 | COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) | Medium recipe at MediaDive | Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base | ||
| 7499 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water | ||
| 34705 | MEDIUM 20 - for Anaerobic bacteria | Agar (15.000 g);Glucose (5.000 g);Yeast extract (20.000 g);Tryptone (30.000 g);Cysteine hydrochloride (0.500 g);distilled water (1000.000 ml);Hemin solution -M00149 (25.000 ml) | |||
| 120361 | CIP Medium 137 | Medium recipe at CIP | |||
| 120361 | CIP Medium 20 | Medium recipe at CIP |
| 67770 | Observationquinones: MK-9, MK-10 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 31881 | 22599 ChEBI | arabinose | + | carbon source | |
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 68367 | 17057 ChEBI | cellobiose | - | builds acid from | from API 20A |
| 68367 | 17634 ChEBI | D-glucose | + | builds acid from | from API 20A |
| 68367 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 20A |
| 68380 | 16024 ChEBI | D-mannose | + | fermentation | from API rID32A |
| 68367 | 16024 ChEBI | D-mannose | + | builds acid from | from API 20A |
| 68367 | 65327 ChEBI | D-xylose | + | builds acid from | from API 20A |
| 31881 | 4853 ChEBI | esculin | + | hydrolysis | |
| 68367 | 4853 ChEBI | esculin | + | hydrolysis | from API 20A |
| 68367 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20A |
| 31881 | 17234 ChEBI | glucose | + | carbon source | |
| 68367 | 17754 ChEBI | glycerol | - | builds acid from | from API 20A |
| 68367 | 30849 ChEBI | L-arabinose | + | builds acid from | from API 20A |
| 68380 | 29985 ChEBI | L-glutamate | + | degradation | from API rID32A |
| 31881 | 17716 ChEBI | lactose | + | carbon source | |
| 68367 | 17716 ChEBI | lactose | + | builds acid from | from API 20A |
| 31881 | 17306 ChEBI | maltose | + | carbon source | |
| 31881 | 37684 ChEBI | mannose | + | carbon source | |
| 68367 | 6731 ChEBI | melezitose | + | builds acid from | from API 20A |
| 120361 | 17632 ChEBI | nitrate | - | reduction | |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 120361 | 16301 ChEBI | nitrite | - | reduction | |
| 31881 | 16634 ChEBI | raffinose | + | carbon source | |
| 31881 | 26546 ChEBI | rhamnose | + | carbon source | |
| 68367 | 17814 ChEBI | salicin | - | builds acid from | from API 20A |
| 68367 | 30911 ChEBI | sorbitol | - | builds acid from | from API 20A |
| 31881 | 17992 ChEBI | sucrose | + | carbon source | |
| 68367 | 17992 ChEBI | sucrose | + | builds acid from | from API 20A |
| 31881 | 27082 ChEBI | trehalose | + | carbon source | |
| 68380 | 27897 ChEBI | tryptophan | - | energy source | from API rID32A |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| 68367 | 16199 ChEBI | urea | - | hydrolysis | from API 20A |
| 31881 | 18222 ChEBI | xylose | + | carbon source |
| @ref | Chebi-ID | Metabolite | Indole test | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | - | from API rID32A |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | + | 3.1.3.2 | from API zym |
| 68380 | alanine arylamidase | + | 3.4.11.2 | from API rID32A |
| 31881 | alkaline phosphatase | + | 3.1.3.1 | |
| 68382 | alkaline phosphatase | + | 3.1.3.1 | from API zym |
| 68380 | alkaline phosphatase | + | 3.1.3.1 | from API rID32A |
| 68380 | alpha-arabinosidase | + | 3.2.1.55 | from API rID32A |
| 68382 | alpha-chymotrypsin | + | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68380 | alpha-fucosidase | - | 3.2.1.51 | from API rID32A |
| 31881 | alpha-galactosidase | + | 3.2.1.22 | |
| 68382 | alpha-galactosidase | + | 3.2.1.22 | from API zym |
| 68380 | alpha-galactosidase | + | 3.2.1.22 | from API rID32A |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68380 | alpha-glucosidase | + | 3.2.1.20 | from API rID32A |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68382 | beta-galactosidase | + | 3.2.1.23 | from API zym |
| 68380 | beta-galactosidase | + | 3.2.1.23 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68380 | beta-glucosidase | + | 3.2.1.21 | from API rID32A |
| 68367 | beta-glucosidase | + | 3.2.1.21 | from API 20A |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 31881 | catalase | + | 1.11.1.6 | |
| 120361 | catalase | + | 1.11.1.6 | |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 68382 | esterase (C 4) | - | from API zym | |
| 68382 | esterase lipase (C 8) | - | from API zym | |
| 68367 | gelatinase | - | from API 20A | |
| 68380 | glutamate decarboxylase | + | 4.1.1.15 | from API rID32A |
| 68380 | glycin arylamidase | + | from API rID32A | |
| 68380 | histidine arylamidase | + | from API rID32A | |
| 68380 | L-arginine arylamidase | + | from API rID32A | |
| 68382 | leucine arylamidase | + | 3.4.11.1 | from API zym |
| 68380 | leucine arylamidase | + | 3.4.11.1 | from API rID32A |
| 68380 | leucyl glycin arylamidase | + | 3.4.11.1 | from API rID32A |
| 68382 | lipase (C 14) | - | from API zym | |
| 68382 | N-acetyl-beta-glucosaminidase | + | 3.2.1.52 | from API zym |
| 68380 | N-acetyl-beta-glucosaminidase | + | 3.2.1.52 | from API rID32A |
| 68382 | naphthol-AS-BI-phosphohydrolase | - | from API zym | |
| 120361 | oxidase | - | ||
| 68380 | proline-arylamidase | - | 3.4.11.5 | from API rID32A |
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 68380 | tryptophan deaminase | - | 4.1.99.1 | from API rID32A |
| 120361 | urease | - | 3.5.1.5 | |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| 68367 | urease | - | 3.5.1.5 | from API 20A |
| 68382 | valine arylamidase | - | from API zym |
| @ref | IND | URE | GLU | MAN | LAC | SAC | MAL | SAL | XYL | ARA | GEL | ESC | GLY | CEL | MNE | MLZ | RAF | SOR | RHA | TRE | CAT | Spores presentSPOR | GramGRAM | Morphology coccus="+" rod="-"COCC | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7499 | not determinedn.d. | - | + | - | + | + | +/- | - | + | + | - | + | - | - | + | + | +/- | - | +/- | +/- | not determinedn.d. | not determinedn.d. | not determinedn.d. | not determinedn.d. |
| @ref | URE | ADH (Arg) | alpha GAL | beta GAL | beta-Galactosidase 6-phosphatebeta GP | alpha GLU | beta GLU | alpha ARA | beta GUR | beta-N-Acetyl-beta-glucosaminidasebeta NAG | MNE | RAF | GDC | alpha FUC | Reduction of nitrateNIT | IND | PAL | L-arginine arylamidaseArgA | ProA | LGA | Phenylalanine arylamidasePheA | Leucine arylamidaseLeuA | PyrA | Tyrosine arylamidaseTyrA | Alanine arylamidaseAlaA | Glycin arylamidaseGlyA | Histidine arylamidaseHisA | Glutamyl-glutamate arylamidaseGGA | Serine arylamidaseSerA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7499 | - | - | + | + | - | + | + | + | +/- | + | + | + | + | - | - | - | + | + | - | + | +/- | + | - | +/- | + | + | + | +/- | +/- | |
| 7499 | - | - | + | + | - | + | + | + | - | + | + | +/- | + | - | - | - | + | + | - | + | + | + | + | + | + | + | + | + | + |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
Global distribution of 16S sequence AB261128 (>99% sequence identity) for Parabacteroides johnsonii subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2515104v1 assembly for Parabacteroides johnsonii DSM 18315 | complete | 537006 | 97.6 | ||||
| 67770 | ASM15649v1 assembly for Parabacteroides johnsonii DSM 18315 | scaffold | 537006 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 7499 | Parabacteroides johnsonii gene for 16S ribosomal RNA, partial sequence | AB261128 | 1492 | 537006 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 76.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 99.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 93.02 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 86.45 | no |
| 125438 | aerobic | aerobicⓘ | no | 90.84 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 93.24 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 92.87 | no |
| 125438 | flagellated | motile2+ⓘ | no | 89.50 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
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| Coarse-grained model of serial dilution dynamics in synthetic human gut microbiome. | Mahajan T, Maslov S. | PLoS Comput Biol | 10.1371/journal.pcbi.1013222 | 2025 | ||
| Enzymology | Biodegradation of screenings from sewage treatment by white rot fungi. | Civzele A, Stipniece-Jekimova AA, Mezule L. | Fungal Biol Biotechnol | 10.1186/s40694-025-00198-5 | 2025 | |
| Genetics | The estrobolome: Estrogen-metabolizing pathways of the gut microbiome and their relation to breast cancer. | Larnder AH, Manges AR, Murphy RA. | Int J Cancer | 10.1002/ijc.35427 | 2025 | |
| Enzymology | Isolation and screening of wood-decaying fungi for lignocellulolytic enzyme production and bioremediation processes. | Civzele A, Mezule L. | Front Fungal Biol | 10.3389/ffunb.2024.1494182 | 2024 | |
| Enzymology | Fungal Ligninolytic Enzymes and Their Application in Biomass Lignin Pretreatment. | Civzele A, Stipniece-Jekimova AA, Mezule L. | J Fungi (Basel) | 10.3390/jof9070780 | 2023 | |
| Vitamin B12 analogues from gut microbes and diet differentially impact commensal propionate producers of the human gut. | Kundra P, Greppi A, Duppenthaler M, Pluss S, Pugin B, Lacroix C, Geirnaert A. | Front Nutr | 10.3389/fnut.2024.1360199 | 2024 | ||
| Abundant Sulfitobacter marine bacteria protect Emiliania huxleyi algae from pathogenic bacteria. | Beiralas R, Ozer N, Segev E. | ISME Commun | 10.1038/s43705-023-00311-y | 2023 | ||
| Enzymology | Degradation of the low-calorie sugar substitute 5-ketofructose by different bacteria. | Schiessl J, Kosciow K, Garschagen LS, Hoffmann JJ, Heymuth J, Franke T, Deppenmeier U. | Appl Microbiol Biotechnol | 10.1007/s00253-021-11168-3 | 2021 | |
| Gut microbial taxa elevated by dietary sugar disrupt memory function. | Noble EE, Olson CA, Davis E, Tsan L, Chen YW, Schade R, Liu C, Suarez A, Jones RB, de La Serre C, Yang X, Hsiao EY, Kanoski SE. | Transl Psychiatry | 10.1038/s41398-021-01309-7 | 2021 | ||
| Pathogenicity | Expression of arsenic resistance genes in the obligate anaerobe Bacteroides vulgatus ATCC 8482, a gut microbiome bacterium. | Li J, Mandal G, Mandal G, Rosen BP. | Anaerobe | 10.1016/j.anaerobe.2016.03.012 | 2016 | |
| Polyyne-producing Burkholderia suppress Globisporangium ultimum damping-off disease of Pisum sativum (pea). | Webster G, Mullins AJ, Petrova YD, Mahenthiralingam E. | Front Microbiol | 10.3389/fmicb.2023.1240206 | 2023 | ||
| Carbohydrate complexity limits microbial growth and reduces the sensitivity of human gut communities to perturbations. | Ostrem Loss E, Thompson J, Cheung PLK, Qian Y, Venturelli OS. | Nat Ecol Evol | 10.1038/s41559-022-01930-9 | 2023 | ||
| D-Fructose Assimilation and Fermentation by Yeasts Belonging to Saccharomycetes: Rediscovery of Universal Phenotypes and Elucidation of Fructophilic Behaviors in Ambrosiozyma platypodis and Cyberlindnera americana. | Endoh R, Horiyama M, Ohkuma M. | Microorganisms | 10.3390/microorganisms9040758 | 2021 | ||
| Pathogenicity | Microbiota-derived bile acids antagonize the host androgen receptor and drive anti-tumor immunity. | Jin WB, Xiao L, Jeong M, Han SJ, Zhang W, Yano H, Shi H, Arifuzzaman M, Lyu M, Wang D, Tang YA, Qiao S, JRI IBD Live Cell Bank Consortium, Yang X, Yang HS, Fu J, Sonnenberg GF, Collins N, Artis D, Guo CJ. | Cell | 10.1016/j.cell.2025.02.029 | 2025 | |
| Metabolism | A metagenomic beta-glucuronidase uncovers a core adaptive function of the human intestinal microbiome. | Gloux K, Berteau O, El Oumami H, Beguet F, Leclerc M, Dore J. | Proc Natl Acad Sci U S A | 10.1073/pnas.1000066107 | 2011 | |
| Metabolism | Strain dropouts reveal interactions that govern the metabolic output of the gut microbiome. | Wang M, Osborn LJ, Jain S, Meng X, Weakley A, Yan J, Massey WJ, Varadharajan V, Horak A, Banerjee R, Allende DS, Chan ER, Hajjar AM, Wang Z, Dimas A, Zhao A, Nagashima K, Cheng AG, Higginbottom S, Hazen SL, Brown JM, Fischbach MA. | Cell | 10.1016/j.cell.2023.05.037 | 2023 | |
| Eukaryote to gut bacteria transfer of a glycoside hydrolase gene essential for starch breakdown in plants. | Arias MC, Danchin EG, Coutinho P, Henrissat B, Ball S. | Mob Genet Elements | 10.4161/mge.20375 | 2012 | ||
| Metabolism | Glucuronides in the gut: Sugar-driven symbioses between microbe and host. | Pellock SJ, Redinbo MR. | J Biol Chem | 10.1074/jbc.r116.767434 | 2017 | |
| Metabolism | The Bacteroidales produce an N-acylated derivative of glycine with both cholesterol-solubilising and hemolytic activity. | Lynch A, Crowley E, Casey E, Cano R, Shanahan R, McGlacken G, Marchesi JR, Clarke DJ. | Sci Rep | 10.1038/s41598-017-13774-6 | 2017 | |
| Autometa: automated extraction of microbial genomes from individual shotgun metagenomes. | Miller IJ, Rees ER, Ross J, Miller I, Baxa J, Lopera J, Kerby RL, Rey FE, Kwan JC. | Nucleic Acids Res | 10.1093/nar/gkz148 | 2019 | ||
| Metabolism | Evolution of higher torque in Campylobacter-type bacterial flagellar motors. | Chaban B, Coleman I, Beeby M. | Sci Rep | 10.1038/s41598-017-18115-1 | 2018 | |
| Type VI secretion systems of human gut Bacteroidales segregate into three genetic architectures, two of which are contained on mobile genetic elements. | Coyne MJ, Roelofs KG, Comstock LE. | BMC Genomics | 10.1186/s12864-016-2377-z | 2016 | ||
| Metabolism | Conversion of dietary inositol into propionate and acetate by commensal Anaerostipes associates with host health. | Bui TPN, Manneras-Holm L, Puschmann R, Wu H, Troise AD, Nijsse B, Boeren S, Backhed F, Fiedler D, deVos WM. | Nat Commun | 10.1038/s41467-021-25081-w | 2021 | |
| Metabolism | Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics. | Baranwal M, Clark RL, Thompson J, Sun Z, Hero AO, Venturelli OS. | Elife | 10.7554/elife.73870 | 2022 | |
| Design, construction, and in vivo augmentation of a complex gut microbiome. | Cheng AG, Ho PY, Aranda-Diaz A, Jain S, Yu FB, Meng X, Wang M, Iakiviak M, Nagashima K, Zhao A, Murugkar P, Patil A, Atabakhsh K, Weakley A, Yan J, Brumbaugh AR, Higginbottom S, Dimas A, Shiver AL, Deutschbauer A, Neff N, Sonnenburg JL, Huang KC, Fischbach MA. | Cell | 10.1016/j.cell.2022.08.003 | 2022 | ||
| Metabolism | Proteomic analysis of a noninvasive human model of acute inflammation and its resolution: the twenty-one day gingivitis model. | Grant MM, Creese AJ, Barr G, Ling MR, Scott AE, Matthews JB, Griffiths HR, Cooper HJ, Chapple IL. | J Proteome Res | 10.1021/pr100446f | 2010 | |
| Metabolism | LuxS-dependent AI-2 production is not involved in global regulation of natural product biosynthesis in Photorhabdus and Xenorhabdus. | Heinrich AK, Hirschmann M, Neubacher N, Bode HB. | PeerJ | 10.7717/peerj.3471 | 2017 | |
| Pathogenicity | Isolation and characterization of bacteria resistant to metallic copper surfaces. | Santo CE, Morais PV, Grass G. | Appl Environ Microbiol | 10.1128/aem.01952-09 | 2010 | |
| Genetics | Microbiome of fungus-growing termites: a new reservoir for lignocellulase genes. | Liu N, Yan X, Zhang M, Xie L, Wang Q, Huang Y, Zhou X, Wang S, Zhou Z. | Appl Environ Microbiol | 10.1128/aem.01521-10 | 2011 | |
| Metabolism | Alternative spermidine biosynthetic route is critical for growth of Campylobacter jejuni and is the dominant polyamine pathway in human gut microbiota. | Hanfrey CC, Pearson BM, Hazeldine S, Lee J, Gaskin DJ, Woster PM, Phillips MA, Michael AJ. | J Biol Chem | 10.1074/jbc.m111.307835 | 2011 | |
| Phylogeny | Comparative fecal metagenomics unveils unique functional capacity of the swine gut. | Lamendella R, Domingo JW, Ghosh S, Martinson J, Oerther DB. | BMC Microbiol | 10.1186/1471-2180-11-103 | 2011 | |
| Recent Advances in Screening of Anti-Campylobacter Activity in Probiotics for Use in Poultry. | Saint-Cyr MJ, Guyard-Nicodeme M, Messaoudi S, Chemaly M, Cappelier JM, Dousset X, Haddad N. | Front Microbiol | 10.3389/fmicb.2016.00553 | 2016 | ||
| Development of culture methods capable of culturing a wide range of predominant species of intestinal bacteria. | Hirano R, Nishita I, Nakai R, Bito A, Sasabe R, Kurihara S. | Front Cell Infect Microbiol | 10.3389/fcimb.2023.1056866 | 2023 | ||
| Carotenoid productivity in human intestinal bacteria Eubacterium limosum and Leuconostoc mesenteroides with functional analysis of their carotenoid biosynthesis genes. | Matsumoto W, Takemura M, Nanaura H, Ami Y, Maoka T, Shindo K, Kurihara S, Misawa N. | Eng Microbiol | 10.1016/j.engmic.2024.100147 | 2024 | ||
| A 2.08 A resolution structure of HLB5, a novel cellulase from the anaerobic gut bacterium Parabacteroides johnsonii DSM 18315. | Chang C, Brooke C, Piao H, Mack J, Babnigg G, Joachimiak A, Hess M | Protein Sci | 10.1002/pro.3582 | 2019 | ||
| Phylogeny | Parabacteroides faecalis sp. nov. Isolated from Swine Faeces. | Bak JE, Oh BS, Ryu SW, Yu SY, Choi WJ, Kim JS, Lee JS, Park SH, Kang SW, Lee J, Lee MK, Yun CS, Jung WY, Kim JE, Cho ES, Kim HB, Kim JK, Lee JH, Lee JH. | Curr Microbiol | 10.1007/s00284-023-03190-7 | 2023 | |
| Description of lipase producing novel yeast species Debaryomyces apis f.a., sp. nov. and a modified pH indicator dye-based method for the screening of lipase producing microorganisms. | Kumari A, Mihooliya KN, Sahoo DK, Bhattacharyya MS, Prasad GS, Pinnaka AK. | Sci Rep | 10.1038/s41598-023-38241-3 | 2023 | ||
| Phylogeny | Acinetobacter kookii sp. nov., isolated from soil. | Choi JY, Ko G, Jheong W, Huys G, Seifert H, Dijkshoorn L, Ko KS. | Int J Syst Evol Microbiol | 10.1099/ijs.0.047969-0 | 2013 | |
| Phylogeny | Parabacteroides acidifaciens sp. nov., isolated from human faeces. | Wang YJ, Xu XJ, Zhou N, Sun Y, Liu C, Liu SJ, You X | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003230 | 2019 | |
| Phylogeny | Parabacteroides chinchillae sp. nov., isolated from chinchilla (Chincilla lanigera) faeces. | Kitahara M, Sakamoto M, Tsuchida S, Kawasumi K, Amao H, Benno Y, Ohkuma M | Int J Syst Evol Microbiol | 10.1099/ijs.0.050146-0 | 2013 | |
| Phylogeny | Parabacteroides johnsonii sp. nov., isolated from human faeces. | Sakamoto M, Kitahara M, Benno Y | Int J Syst Evol Microbiol | 10.1099/ijs.0.64588-0 | 2007 |
| #7499 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18315 |
| #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 ) |
| #28141 | IJSEM 293 2007 ( DOI 10.1099/ijs.0.64588-0 , PubMed 17267966 ) |
| #31881 | 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 #28141 |
| #34705 | ; Curators of the CIP; |
| #60403 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54943 |
| #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; |
| #68367 | Automatically annotated from API 20A . |
| #68380 | Automatically annotated from API rID32A . |
| #68382 | Automatically annotated from API zym . |
| #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 . |
| #120361 | Collection of Institut Pasteur ; Curators of the CIP; CIP 109537 |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive12498.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data