Halolactibacillus alkaliphilus H-5 is a facultative anaerobe, Gram-positive, rod-shaped prokaryote that was isolated from soda lake.
Gram-positive rod-shaped facultative anaerobe genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Bacillaceae |
| Genus Halolactibacillus |
| Species Halolactibacillus alkaliphilus |
| Full scientific name Halolactibacillus alkaliphilus Cao et al. 2008 |
| 32446 | Observationaggregates in chains |
| 32446 | Sample typesoda lake |
Global distribution of 16S sequence EF554593 (>99% sequence identity) for Halolactibacillus alkaliphilus from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 93.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 90.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 80.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 82.74 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 84.44 | yes |
| 125438 | spore-forming | spore-formingⓘ | yes | 54.62 | no |
| 125438 | aerobic | aerobicⓘ | no | 93.87 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 89.05 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 86.93 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| Antibacterial Activity of Red Pigment Produced by Halolactibacillus alkaliphilus MSRD1--an Isolate from Seaweed. | Suresh M, Renugadevi B, Brammavidhya S, Iyapparaj P, Anantharaman P. | Appl Biochem Biotechnol | 10.1007/s12010-015-1566-6 | 2015 | |
| Microbial insights of enhanced anaerobic conversion of syngas into volatile fatty acids by co-fermentation with carbohydrate-rich synthetic wastewater. | Liu C, Wang W, O-Thong S, Yang Z, Zhang S, Liu G, Luo G. | Biotechnol Biofuels | 10.1186/s13068-020-01694-z | 2020 | |
| Halolactibacillus alkaliphilus sp. nov., a moderately alkaliphilic and halophilic bacterium isolated from a soda lake in Inner Mongolia, China, and emended description of the genus Halolactibacillus. | Cao SJ, Qu JH, Yang JS, Sun Q, Yuan HL | Int J Syst Evol Microbiol | 10.1099/ijs.0.65511-0 | 2008 |
| #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 ) |
| #32446 | 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 #28668 (see below) |
| #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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BacDive in 2025: the core database for prokaryotic strain data