Levilinea saccharolytica KIBI-1 is an anaerobe, Gram-negative, filament-shaped bacterium that was isolated from sludge in a mesophilic UASB reactor.
Gram-negative filament-shaped anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Chloroflexota |
| Class Anaerolineae |
| Order Anaerolineales |
| Family Anaerolineaceae |
| Genus Levilinea |
| Species Levilinea saccharolytica |
| Full scientific name Levilinea saccharolytica Yamada et al. 2006 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 6507 | ANAEROLINEA MEDIUM (DSMZ Medium 1004) | Medium recipe at MediaDive | Name: ANAEROLINEA MEDIUM (DSMZ Medium 1004; with strain-specific modifications) Composition: Sucrose 7.17846 g/l NaHCO3 2.49252 g/l NH4Cl 0.538385 g/l Na2S x 9 H2O 0.249252 g/l L-Cysteine HCl x H2O 0.249252 g/l MgCl2 x 6 H2O 0.199402 g/l CaCl2 x 2 H2O 0.149551 g/l KH2PO4 0.139581 g/l Yeast extract 0.0997009 g/l Na2-EDTA x 2 H2O 0.00518445 g/l FeCl2 x 4 H2O 0.00149551 g/l NaOH 0.000498504 g/l Sodium resazurin 0.000498504 g/l CoCl2 x 6 H2O 0.000189432 g/l Pyridoxine hydrochloride 9.97009e-05 g/l MnCl2 x 4 H2O 9.97009e-05 g/l ZnCl2 6.97906e-05 g/l (DL)-alpha-Lipoic acid 4.98504e-05 g/l p-Aminobenzoic acid 4.98504e-05 g/l Nicotinic acid 4.98504e-05 g/l Riboflavin 4.98504e-05 g/l Thiamine HCl 4.98504e-05 g/l Calcium D-(+)-pantothenate 4.98504e-05 g/l Na2MoO4 x 2 H2O 3.58923e-05 g/l NiCl2 x 6 H2O 2.39282e-05 g/l Folic acid 1.99402e-05 g/l Biotin 1.99402e-05 g/l H3BO3 5.98205e-06 g/l Na2WO4 x 2 H2O 3.98804e-06 g/l Na2SeO3 x 5 H2O 2.99103e-06 g/l CuCl2 x 2 H2O 1.99402e-06 g/l Vitamin B12 9.97009e-07 g/l Distilled water |
| 23356 | Spore formationno |
| @ref | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|
| 23356 | yeast extract | + | required for growth |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | ceramide biosynthesis | 100 | 1 of 1 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | molybdenum cofactor biosynthesis | 100 | 9 of 9 | ||
| 66794 | reductive acetyl coenzyme A pathway | 100 | 7 of 7 | ||
| 66794 | vitamin E metabolism | 100 | 4 of 4 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | palmitate biosynthesis | 90.91 | 20 of 22 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | glycolysis | 82.35 | 14 of 17 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | starch degradation | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | glutamate and glutamine metabolism | 78.57 | 22 of 28 | ||
| 66794 | pyrimidine metabolism | 77.78 | 35 of 45 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | alanine metabolism | 75.86 | 22 of 29 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | purine metabolism | 74.47 | 70 of 94 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | threonine metabolism | 70 | 7 of 10 | ||
| 66794 | myo-inositol biosynthesis | 70 | 7 of 10 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | urea cycle | 69.23 | 9 of 13 | ||
| 66794 | NAD metabolism | 66.67 | 12 of 18 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | cysteine metabolism | 66.67 | 12 of 18 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | IAA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | CO2 fixation in Crenarchaeota | 66.67 | 6 of 9 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | citric acid cycle | 64.29 | 9 of 14 | ||
| 66794 | oxidative phosphorylation | 63.74 | 58 of 91 | ||
| 66794 | cholesterol biosynthesis | 63.64 | 7 of 11 | ||
| 66794 | non-pathway related | 63.16 | 24 of 38 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | histidine metabolism | 62.07 | 18 of 29 | ||
| 66794 | methionine metabolism | 61.54 | 16 of 26 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 58.33 | 7 of 12 | ||
| 66794 | cardiolipin biosynthesis | 57.14 | 4 of 7 | ||
| 66794 | tyrosine metabolism | 57.14 | 8 of 14 | ||
| 66794 | lysine metabolism | 57.14 | 24 of 42 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | pentose phosphate pathway | 54.55 | 6 of 11 | ||
| 66794 | flavin biosynthesis | 53.33 | 8 of 15 | ||
| 66794 | tryptophan metabolism | 52.63 | 20 of 38 | ||
| 66794 | degradation of pentoses | 50 | 14 of 28 | ||
| 66794 | isoleucine metabolism | 50 | 4 of 8 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | Entner Doudoroff pathway | 50 | 5 of 10 | ||
| 66794 | lipid metabolism | 48.39 | 15 of 31 | ||
| 66794 | isoprenoid biosynthesis | 46.15 | 12 of 26 | ||
| 66794 | carotenoid biosynthesis | 45.45 | 10 of 22 | ||
| 66794 | d-xylose degradation | 45.45 | 5 of 11 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | degradation of hexoses | 44.44 | 8 of 18 | ||
| 66794 | nitrate assimilation | 44.44 | 4 of 9 | ||
| 66794 | lipid A biosynthesis | 44.44 | 4 of 9 | ||
| 66794 | allantoin degradation | 44.44 | 4 of 9 | ||
| 66794 | valine metabolism | 44.44 | 4 of 9 | ||
| 66794 | tetrahydrofolate metabolism | 42.86 | 6 of 14 | ||
| 66794 | glutathione metabolism | 42.86 | 6 of 14 | ||
| 66794 | mevalonate metabolism | 42.86 | 3 of 7 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | O-antigen biosynthesis | 40 | 2 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | polyamine pathway | 39.13 | 9 of 23 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 38.46 | 5 of 13 | ||
| 66794 | sulfate reduction | 38.46 | 5 of 13 | ||
| 66794 | vitamin B1 metabolism | 38.46 | 5 of 13 | ||
| 66794 | androgen and estrogen metabolism | 37.5 | 6 of 16 | ||
| 66794 | arginine metabolism | 37.5 | 9 of 24 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of sugar acids | 32 | 8 of 25 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | leucine metabolism | 30.77 | 4 of 13 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 30 | 3 of 10 | ||
| 66794 | arachidonic acid metabolism | 27.78 | 5 of 18 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | 3-phenylpropionate degradation | 26.67 | 4 of 15 | ||
| 66794 | vitamin B12 metabolism | 26.47 | 9 of 34 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | methanogenesis from CO2 | 25 | 3 of 12 | ||
| 66794 | phenol degradation | 25 | 5 of 20 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | chlorophyll metabolism | 22.22 | 4 of 18 | ||
| 66794 | heme metabolism | 21.43 | 3 of 14 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Biodegradation | #Anaerobic digestor | |
| #Engineered | #Waste | #Wastewater | |
| #Environmental | #Terrestrial | #Mud (Sludge) |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 6507 | sludge in a mesophilic UASB reactor | Niigata, Nagaoka | Japan | JPN | Asia | |
| 23356 | sludge in a mesophilic UASB reactor, in sugar-manufacturing wastewater | |||||
| 67770 | Granular sludge collected from a UASB reactor operated under a mesophilic condition (37C) |
Global distribution of 16S sequence AB109439 (>99% sequence identity) for Levilinea saccharolytica subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM130603v1 assembly for Levilinea saccharolytica KIBI-1 | contig | 229921 | 61.48 | ||||
| 67770 | ASM105025v2 assembly for Levilinea saccharolytica KIBI-1 | scaffold | 229921 | 33.26 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 6507 | Levilinea saccharolytica gene for 16S rRNA, partial sequence | AB109439 | 1424 | 229921 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 58.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 51.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 76.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 92.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 63.27 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 71.86 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 74.97 | yes |
| 125438 | aerobic | aerobicⓘ | no | 65.52 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 76.37 | no |
| 125438 | flagellated | motile2+ⓘ | no | 82.16 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Draft Genome Sequence of Levilinea saccharolytica KIBI-1, a Member of the Chloroflexi Class Anaerolineae. | Hemp J, Ward LM, Pace LA, Fischer WW | Genome Announc | 10.1128/genomeA.01357-15 | 2015 | |
| Genetics | Draft Genome Sequences of Anaerolinea thermolimosa IMO-1, Bellilinea caldifistulae GOMI-1, Leptolinea tardivitalis YMTK-2, Levilinea saccharolytica KIBI-1, Longilinea arvoryzae KOME-1, Previously Described as Members of the Class Anaerolineae (Chloroflexi). | Matsuura N, Tourlousse DM, Ohashi A, Hugenholtz P, Sekiguchi Y | Genome Announc | 10.1128/genomeA.00975-15 | 2015 | |
| Phylogeny | Ornatilinea apprima gen. nov., sp. nov., a cellulolytic representative of the class Anaerolineae. | Podosokorskaya OA, Bonch-Osmolovskaya EA, Novikov AA, Kolganova TV, Kublanov IV | Int J Syst Evol Microbiol | 10.1099/ijs.0.041012-0 | 2012 | |
| Phylogeny | Anaerolinea thermolimosa sp. nov., Levilinea saccharolytica gen. nov., sp. nov. and Leptolinea tardivitalis gen. nov., sp. nov., novel filamentous anaerobes, and description of the new classes Anaerolineae classis nov. and Caldilineae classis nov. in the bacterial phylum Chloroflexi. | Yamada T, Sekiguchi Y, Hanada S, Imachi H, Ohashi A, Harada H, Kamagata Y | Int J Syst Evol Microbiol | 10.1099/ijs.0.64169-0 | 2006 |
| #6507 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16555 |
| #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 ) |
| #23356 | Takeshi Yamada, Yuji Sekiguchi, Satoshi Hanada, Hiroyuki Imachi, Akiyoshi Ohashi, Hideki Harada, Yoichi Kamagata: Anaerolinea thermolimosa sp. nov., Levilinea saccharolytica gen. nov., sp. nov. and Leptolinea tardivitalis gen. nov., sp. nov., novel filamentous anaerobes, and description of the new classes Anaerolineae classis nov. and Caldilineae classis nov. in the bacterial phylum Chloroflexi. IJSEM 56: 1331 - 1340 2006 ( DOI 10.1099/ijs.0.64169-0 , PubMed 16738111 ) |
| #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 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 . |
| #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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