Neisseria bacilliformis DSM 23338 is a microaerophile bacterium that was isolated from submandibular wound of a 53-year-old man.
microaerophile genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Neisseriales |
| Family Neisseriaceae |
| Genus Neisseria |
| Species Neisseria bacilliformis |
| Full scientific name Neisseria bacilliformis Han et al. 2006 |
| BacDive ID | Other strains from Neisseria bacilliformis (5) | Type strain |
|---|---|---|
| 150081 | N. bacilliformis CCUG 38963 | |
| 153675 | N. bacilliformis CCUG 50611 | |
| 153750 | N. bacilliformis CCUG 50859 | |
| 153751 | N. bacilliformis CCUG 50860 | |
| 153752 | N. bacilliformis CCUG 50861 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16803 | BHI MEDIUM (DSMZ Medium 215) | Medium recipe at MediaDive | Name: BHI MEDIUM (DSMZ Medium 215) Composition: Brain heart infusion 37.0 g/l Distilled water | ||
| 16803 | 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 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125438 | 91.429 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68377 | 15824 ChEBI | D-fructose | - | builds acid from | from API NH |
| 68377 | 17306 ChEBI | maltose | - | builds acid from | from API NH |
| 68377 | 18257 ChEBI | ornithine | - | degradation | from API NH |
| 68377 | 17992 ChEBI | sucrose | - | builds acid from | from API NH |
| 68377 | 27897 ChEBI | tryptophan | - | energy source | from API NH |
| 68377 | 16199 ChEBI | urea | - | hydrolysis | from API NH |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Infection | #Patient | - | |
| #Host Body-Site | #Oral cavity and airways | - | |
| #Host Body-Site | #Other | #Wound | |
| #Host | #Human | #Male |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | Sampling date | |
|---|---|---|---|---|---|---|---|---|---|---|
| 16803 | submandibular wound of a 53-year-old man | Homo sapiens | Texas, Houston | USA | USA | North America | 29.7499 | -95.3584 29.7499/-95.3584 | ||
| 59021 | Human wound,53-yr-old man,submandibular,carcinoma | Homo sapiens | TX,Houston | USA | USA | North America | 2003 |
Global distribution of 16S sequence AY560519 (>99% sequence identity) for Kingella from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1405502v1 assembly for Neisseria bacilliformis DSM 23338 | complete | 267212 | 98.5 | ||||
| 124043 | ASM19492v1 assembly for Neisseria bacilliformis ATCC BAA-1200 | scaffold | 888742 | 63.45 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 16803 | Neisseria bacilliformis 16S ribosomal RNA gene, partial sequence | AY560519 | 1489 | 888742 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.24 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.34 | no |
| 125439 | motility | BacteriaNetⓘ | no | 99.35 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 43.85 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.45 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.81 | yes |
| 125438 | aerobic | aerobicⓘ | no | 52.60 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 91.43 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.70 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 85.55 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metagenomic Analysis Reveals Neisseria bacilliformis Variation in the Early Childhood Caries Plaque Microbiome. | Xiao X, He S, He F, Wu X, Zheng Y. | Evid Based Complement Alternat Med | 10.1155/2021/2774772 | 2021 | ||
| Phylogenomic analysis of the understudied Neisseriaceae species reveals a poly- and paraphyletic Kingella genus. | Morreale DP, St Geme Iii JW, Planet PJ. | Microbiol Spectr | 10.1128/spectrum.03123-23 | 2023 | ||
| Phylogeny | Confirmation of the Need for Reclassification of Neisseria mucosa and Neisseria sicca Using Average Nucleotide Identity Blast and Phylogenetic Analysis of Whole-Genome Sequencing: Hinted by Clinical Misclassification of a Neisseria mucosa Strain. | Jin Y, Xu H, Yao Q, Gu B, Wang Z, Wang T, Yu X, Lu Y, Zheng B, Zhang Y. | Front Microbiol | 10.3389/fmicb.2021.780183 | 2021 | |
| Phylogeny | DNA Phosphorothioate Modifications Are Widely Distributed in the Human Microbiome. | Sun Y, Kong L, Wu G, Cao B, Pang X, Deng Z, Dedon PC, Zhang C, You D. | Biomolecules | 10.3390/biom10081175 | 2020 | |
| Pathogenicity | A Natural Mouse Model for Neisseria Colonization. | Ma M, Powell DA, Weyand NJ, Rhodes KA, Rendon MA, Frelinger JA, So M. | Infect Immun | 10.1128/iai.00839-17 | 2018 | |
| Genetics | Closely related type II-C Cas9 orthologs recognize diverse PAMs. | Wei J, Hou L, Liu J, Wang Z, Gao S, Qi T, Gao S, Sun S, Wang Y. | Elife | 10.7554/elife.77825 | 2022 | |
| Phylogeny | Dialects of the DNA uptake sequence in Neisseriaceae. | Frye SA, Nilsen M, Tonjum T, Ambur OH. | PLoS Genet | 10.1371/journal.pgen.1003458 | 2013 | |
| Phylogeny | A genomic approach to bacterial taxonomy: an examination and proposed reclassification of species within the genus Neisseria. | Bennett JS, Jolley KA, Earle SG, Corton C, Bentley SD, Parkhill J, Maiden MCJ. | Microbiology (Reading) | 10.1099/mic.0.056077-0 | 2012 | |
| Characterization of capsule genes in non-pathogenic Neisseria species. | Clemence MEA, Maiden MCJ, Harrison OB. | Microb Genom | 10.1099/mgen.0.000208 | 2018 | ||
| Phylogeny | Neisseria bacilliformis sp. nov. isolated from human infections. | Han XY, Hong T, Falsen E | J Clin Microbiol | 10.1128/JCM.44.2.474-479.2006 | 2006 | |
| Phylogeny | Kingella pumchi sp. nov., an organism isolated from human vertebral puncture tissue. | Xiao M, Liu R, Du J, Liu R, Zhai L, Wang H, Yao S, Xu YC | Antonie Van Leeuwenhoek | 10.1007/s10482-022-01786-w | 2022 |
| #16803 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23338 |
| #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 ) |
| #59021 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 50858 |
| #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 . |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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/bacdive10492.20260601.11
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