Candidimonas humi SC-092 is a mesophilic, Gram-negative bacterium that was isolated from sewage sludge compost.
Gram-negative mesophilic genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Burkholderiales |
| Family Alcaligenaceae |
| Genus Candidimonas |
| Species Candidimonas humi |
| Full scientific name Candidimonas humi Vaz-Moreira et al. 2011 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 18005 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 18005 | positive | growth | 28 | mesophilic |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 98 |
| Metadata FA analysis | |||||||||||||||||||||||||||||||||||||||||||
| type of FA analysis | whole cell analysis | ||||||||||||||||||||||||||||||||||||||||||
| method/protocol | CCUG | ||||||||||||||||||||||||||||||||||||||||||
| @ref | 60743 | ||||||||||||||||||||||||||||||||||||||||||
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| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Biodegradation | #Composting | |
| #Engineered | #Waste | #Sewage sludge |
Global distribution of 16S sequence FN556192 (>99% sequence identity) for Candidimonas from Microbeatlas ![]()
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 18005 | Candidimonas humi partial 16S rRNA gene, type strain SC-092T | FN556192 | 1411 | 683355 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 84.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative aerobe | 71.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.06 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 98.43 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.58 | no |
| 125438 | aerobic | aerobicⓘ | yes | 81.16 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.48 | no |
| 125438 | flagellated | motile2+ⓘ | no | 61.58 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Candidimonas bauzanensis sp. nov., isolated from soil, and emended description of the genus Candidimonas Vaz-Moreira et al. 2011. | Zhang DC, Busse HJ, Wieser C, Liu HC, Zhou YG, Schinner F, Margesin R | Int J Syst Evol Microbiol | 10.1099/ijs.0.036400-0 | 2011 | |
| Phylogeny | Candidimonas nitroreducens gen. nov., sp. nov. and Candidimonas humi sp. nov., isolated from sewage sludge compost. | Vaz-Moreira I, Figueira V, Lopes AR, De Brandt E, Vandamme P, Nunes OC, Manaia CM | Int J Syst Evol Microbiol | 10.1099/ijs.0.021188-0 | 2010 |
| @ref | Straininfo | Culture collections | |
|---|---|---|---|
| 70068 | 359549 | LMG 24813, CCUG 55807, DSM 25336 |
| Culture collection no. | |
|---|---|
| DSM 25336 | |
| CCUG 55807 | |
| LMG 24813 | |
| SC-092 |
| #18005 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25336 |
| #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 ) |
| #60743 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 55807 |
| #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 . |
| #70068 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID359549.1 ) |
| #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 . |
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