Lactobacillus apis R4B is an anaerobe, Gram-positive, rod-shaped prokaryote that was isolated from stomach of honeybees.
Gram-positive rod-shaped anaerobe genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Lactobacillaceae |
| Genus Lactobacillus |
| Species Lactobacillus apis |
| Full scientific name Lactobacillus apis Killer et al. 2014 |
| BacDive ID | Other strains from Lactobacillus apis (2) | Type strain |
|---|---|---|
| 130366 | L. apis Hma 11 N, Hma11N, DSM 26264 | |
| 130367 | L. apis H1HS25N, DSM 26311 |
| 31131 | Observationaggregates in chains |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | acetate fermentation | 100 | 4 of 4 | ||
| 66794 | teichoic acid biosynthesis | 100 | 1 of 1 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 81.82 | 18 of 22 | ||
| 66794 | aspartate and asparagine metabolism | 77.78 | 7 of 9 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | peptidoglycan biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | photosynthesis | 64.29 | 9 of 14 | ||
| 66794 | C4 and CAM-carbon fixation | 62.5 | 5 of 8 | ||
| 66794 | vitamin B1 metabolism | 61.54 | 8 of 13 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | pyrimidine metabolism | 60 | 27 of 45 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | serine metabolism | 55.56 | 5 of 9 | ||
| 66794 | NAD metabolism | 55.56 | 10 of 18 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | valine metabolism | 55.56 | 5 of 9 | ||
| 66794 | purine metabolism | 55.32 | 52 of 94 | ||
| 66794 | pentose phosphate pathway | 54.55 | 6 of 11 | ||
| 66794 | d-xylose degradation | 54.55 | 6 of 11 | ||
| 66794 | oxidative phosphorylation | 52.75 | 48 of 91 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | threonine metabolism | 50 | 5 of 10 | ||
| 66794 | coenzyme A metabolism | 50 | 2 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 50 | 4 of 8 | ||
| 66794 | sulfopterin metabolism | 50 | 2 of 4 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | isoleucine metabolism | 50 | 4 of 8 | ||
| 66794 | gluconeogenesis | 50 | 4 of 8 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | phenylalanine metabolism | 46.15 | 6 of 13 | ||
| 66794 | lipid A biosynthesis | 44.44 | 4 of 9 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | glutamate and glutamine metabolism | 42.86 | 12 of 28 | ||
| 66794 | glycogen metabolism | 40 | 2 of 5 | ||
| 66794 | Entner Doudoroff pathway | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | non-pathway related | 39.47 | 15 of 38 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | tetrahydrofolate metabolism | 35.71 | 5 of 14 | ||
| 66794 | lysine metabolism | 35.71 | 15 of 42 | ||
| 66794 | methionine metabolism | 34.62 | 9 of 26 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | CO2 fixation in Crenarchaeota | 33.33 | 3 of 9 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 33.33 | 4 of 12 | ||
| 66794 | lipid metabolism | 32.26 | 10 of 31 | ||
| 66794 | alanine metabolism | 31.03 | 9 of 29 | ||
| 66794 | urea cycle | 30.77 | 4 of 13 | ||
| 66794 | starch degradation | 30 | 3 of 10 | ||
| 66794 | citric acid cycle | 28.57 | 4 of 14 | ||
| 66794 | propanol degradation | 28.57 | 2 of 7 | ||
| 66794 | degradation of pentoses | 28.57 | 8 of 28 | ||
| 66794 | cysteine metabolism | 27.78 | 5 of 18 | ||
| 66794 | flavin biosynthesis | 26.67 | 4 of 15 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | degradation of sugar alcohols | 25 | 4 of 16 | ||
| 66794 | glycogen biosynthesis | 25 | 1 of 4 | ||
| 66794 | histidine metabolism | 24.14 | 7 of 29 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | glutathione metabolism | 21.43 | 3 of 14 | ||
| 66794 | tyrosine metabolism | 21.43 | 3 of 14 | ||
| 66794 | tryptophan metabolism | 21.05 | 8 of 38 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Arthropoda | #Insecta | |
| #Host Body-Site | #Gastrointestinal tract | #Stomach |
| 31131 | Sample typestomach of honeybees |
Global distribution of 16S sequence KF386017 (>99% sequence identity) for Lactobacillus apis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1463536v1 assembly for Lactobacillus apis CCM 8403 | contig | 303541 | 72.62 | ||||
| 66792 | ASM283705v1 assembly for Lactobacillus apis LMG 26964 | contig | 303541 | 55.77 |
| 31131 | GC-content (mol%)41.3 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 62.60 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 68.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 74.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 94.62 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 50.94 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 91.39 | yes |
| 125438 | aerobic | aerobicⓘ | no | 95.40 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.50 | no |
| 125438 | flagellated | motile2+ⓘ | no | 93.50 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Novel lactic acid bacteria isolated from the bumble bee gut: Convivina intestini gen. nov., sp. nov., Lactobacillus bombicola sp. nov., and Weissella bombi sp. nov. | Praet J, Meeus I, Cnockaert M, Houf K, Smagghe G, Vandamme P | Antonie Van Leeuwenhoek | 10.1007/s10482-015-0429-z | 2015 | |
| Phylogeny | Lactobacillus apis sp. nov., from the stomach of honeybees (Apis mellifera), having an in vitro inhibitory effect on the causative agents of American and European foulbrood. | Killer J, Dubna S, Sedlacek I, Svec P | Int J Syst Evol Microbiol | 10.1099/ijs.0.053033-0 | 2013 | |
| Phylogeny | Lactobacillus panisapium sp. nov., from honeybee Apis cerana bee bread. | Wang C, Huang Y, Li L, Guo J, Wu Z, Deng Y, Dai L, Ma S | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002538 | 2018 |
| #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 ) |
| #27460 | IJSEM 152 2014 ( DOI 10.1099/ijs.0.053033-0 , PubMed 24096349 ) |
| #31131 | 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 #27460 |
| #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) . |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #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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