Shewanella indica KJW27 is a bacterium that was isolated from marine subsurface sediment from 10.4 m water depth.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Alteromonadales |
| Family Shewanellaceae |
| Genus Shewanella |
| Species Shewanella indica |
| Full scientific name Shewanella indica Verma et al. 2011 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 17226 | marine subsurface sediment from 10.4 m water depth | Karnataka, Karwar district, Arabian Sea | India | IND | Asia |
Global distribution of 16S sequence HM016084 (>99% sequence identity) for Shewanella from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM4242986v1 assembly for Shewanella indica KCTC 23171 | contig | 768528 | 68.63 | ||||
| 66792 | ASM283697v1 assembly for Shewanella indica KJW27 | scaffold | 768528 | 67.99 | ||||
| 66792 | ASM1465211v1 assembly for Shewanella indica KCTC 23171 | scaffold | 768528 | 62.18 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 17226 | Shewanella indica strain KJW27 16S ribosomal RNA gene, partial sequence | HM016084 | 1500 | 768528 | ||
| 124043 | Shewanella indica strain KCTC 23171 16S ribosomal RNA gene, partial sequence. | MT759892 | 1341 | 768528 | ||
| 124043 | Shewanella indica strain KCTC 23171 16S ribosomal RNA gene, partial sequence. | MT758093 | 1341 | 768528 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 17226 | 51.2 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 91.87 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.91 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 85.89 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.97 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.35 | no |
| 125438 | aerobic | aerobicⓘ | yes | 57.99 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.70 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.50 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 87.73 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Shewanella dokdonensis sp. nov., isolated from seawater. | Sung HR, Yoon JH, Ghim SY | Int J Syst Evol Microbiol | 10.1099/ijs.0.032995-0 | 2011 | |
| Phylogeny | Shewanella indica sp. nov., isolated from sediment of the Arabian Sea. | Verma P, Pandey PK, Gupta AK, Kim HJ, Baik KS, Seong CN, Patole MS, Shouche YS | Int J Syst Evol Microbiol | 10.1099/ijs.0.026310-0 | 2010 |
| #17226 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23486 |
| #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 ) |
| #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 . |
| #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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