Lachnospira multipara D32 is an anaerobe bacterium that was isolated from bovine rumen.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Lachnospiraceae |
| Genus Lachnospira |
| Species Lachnospira multipara |
| Full scientific name Lachnospira multipara corrig. Bryant and Small 1956 (Approved Lists 1980) |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1292 | RUMEN BACTERIA MEDIUM (DSMZ Medium 330) | Medium recipe at MediaDive | Name: RUMEN BACTERIA MEDIUM (DSMZ Medium 330) Composition: Na2CO3 4.0 g/l Trypticase peptone 2.0 g/l D-Glucose 0.5 g/l Yeast extract 0.5 g/l Maltose 0.5 g/l Cellobiose 0.5 g/l Starch 0.5 g/l Glycerol 0.5 g/l NaCl 0.456 g/l K2HPO4 0.3 g/l L-Cysteine HCl x H2O 0.25 g/l Na2S x 9 H2O 0.25 g/l (NH4)2SO4 0.228 g/l KH2PO4 0.228 g/l MgSO4 x 7 H2O 0.095 g/l CaCl2 x 2 H2O 0.0608 g/l Hemin 0.001 g/l Sodium resazurin 0.0005 g/l NaOH None Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 1292 | positive | growth | 37 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | aspartate and asparagine metabolism | 100 | 9 of 9 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | ceramide biosynthesis | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | palmitate biosynthesis | 90.91 | 20 of 22 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | NAD metabolism | 72.22 | 13 of 18 | ||
| 66794 | tetrahydrofolate metabolism | 71.43 | 10 of 14 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | Entner Doudoroff pathway | 70 | 7 of 10 | ||
| 66794 | methionine metabolism | 69.23 | 18 of 26 | ||
| 66794 | purine metabolism | 67.02 | 63 of 94 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | UDP-GlcNAc biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | glutamate and glutamine metabolism | 64.29 | 18 of 28 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | alanine metabolism | 62.07 | 18 of 29 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | pyrimidine metabolism | 60 | 27 of 45 | ||
| 66794 | threonine metabolism | 60 | 6 of 10 | ||
| 66794 | oxidative phosphorylation | 59.34 | 54 of 91 | ||
| 66794 | histidine metabolism | 58.62 | 17 of 29 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | proline metabolism | 54.55 | 6 of 11 | ||
| 66794 | polyamine pathway | 52.17 | 12 of 23 | ||
| 66794 | degradation of hexoses | 50 | 9 of 18 | ||
| 66794 | tryptophan metabolism | 50 | 19 of 38 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | non-pathway related | 50 | 19 of 38 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | sulfopterin metabolism | 50 | 2 of 4 | ||
| 66794 | citric acid cycle | 50 | 7 of 14 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | degradation of sugar acids | 48 | 12 of 25 | ||
| 66794 | urea cycle | 46.15 | 6 of 13 | ||
| 66794 | vitamin B6 metabolism | 45.45 | 5 of 11 | ||
| 66794 | pentose phosphate pathway | 45.45 | 5 of 11 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | lysine metabolism | 45.24 | 19 of 42 | ||
| 66794 | CO2 fixation in Crenarchaeota | 44.44 | 4 of 9 | ||
| 66794 | degradation of sugar alcohols | 43.75 | 7 of 16 | ||
| 66794 | ubiquinone biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | isoprenoid biosynthesis | 42.31 | 11 of 26 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 41.67 | 5 of 12 | ||
| 66794 | arginine metabolism | 41.67 | 10 of 24 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | methylglyoxal degradation | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | propionate fermentation | 40 | 4 of 10 | ||
| 66794 | degradation of pentoses | 39.29 | 11 of 28 | ||
| 66794 | lipid metabolism | 38.71 | 12 of 31 | ||
| 66794 | androgen and estrogen metabolism | 37.5 | 6 of 16 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | cholesterol biosynthesis | 36.36 | 4 of 11 | ||
| 66794 | glutathione metabolism | 35.71 | 5 of 14 | ||
| 66794 | pantothenate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | phenylpropanoid biosynthesis | 30.77 | 4 of 13 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 30 | 3 of 10 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | tyrosine metabolism | 28.57 | 4 of 14 | ||
| 66794 | ascorbate metabolism | 27.27 | 6 of 22 | ||
| 66794 | 3-phenylpropionate degradation | 26.67 | 4 of 15 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | arachidonic acid metabolism | 22.22 | 4 of 18 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Bovinae (Cow, Cattle) | |
| #Host Body-Site | #Organ | #Rumen |
| 1292 | Sample typebovine rumen |
Global distribution of 16S sequence FR733699 (>99% sequence identity) for Lachnospira multipara subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM42410v1 assembly for Lachnospira multipara ATCC 19207 | scaffold | 1282887 | 72.16 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 1292 | Lachnospira multipara partial 16S rRNA gene, type strain DSM3073T | FR733699 | 1518 | 1282887 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 94.49 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 50.24 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 57.88 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 54.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 65.44 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 90.65 | yes |
| 125438 | aerobic | aerobicⓘ | no | 96.96 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 61.02 | no |
| 125438 | thermophilic | thermophileⓘ | no | 89.77 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 74.39 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Extensive set of 16S rRNA-based probes for detection of bacteria in human feces. | Harmsen HJ, Raangs GC, He T, Degener JE, Welling GW. | Appl Environ Microbiol | 10.1128/aem.68.6.2982-2990.2002 | 2002 | ||
| Quantification of uncultured Ruminococcus obeum-like bacteria in human fecal samples by fluorescent in situ hybridization and flow cytometry using 16S rRNA-targeted probes. | Zoetendal EG, Ben-Amor K, Harmsen HJ, Schut F, Akkermans AD, de Vos WM. | Appl Environ Microbiol | 10.1128/aem.68.9.4225-4232.2002 | 2002 | ||
| Metabolism | Ammonia-hyperproducing bacteria from New Zealand ruminants. | Attwood GT, Klieve AV, Ouwerkerk D, Patel BK. | Appl Environ Microbiol | 10.1128/aem.64.5.1796-1804.1998 | 1998 | |
| In silico Screening Unveil the Great Potential of Ruminal Bacteria Synthesizing Lasso Peptides. | Sabino YNV, de Araujo KC, de Assis FGDV, Moreira SM, Lopes TDS, Mendes TAO, Huws SA, Mantovani HC. | Front Microbiol | 10.3389/fmicb.2020.576738 | 2020 | ||
| Phylogenetic diversity of core rumen microbiota as described by cryo-ET. | Wimmer BH, Morais S, Zalk R, Mizrahi I, Medalia O. | Microlife | 10.1093/femsml/uqad010 | 2023 | ||
| Metabolism | Nitrogen fixation and nifH diversity in human gut microbiota. | Igai K, Itakura M, Nishijima S, Tsurumaru H, Suda W, Tsutaya T, Tomitsuka E, Tadokoro K, Baba J, Odani S, Natsuhara K, Morita A, Yoneda M, Greenhill AR, Horwood PF, Inoue J, Ohkuma M, Hongoh Y, Yamamoto T, Siba PM, Hattori M, Minamisawa K, Umezaki M. | Sci Rep | 10.1038/srep31942 | 2016 | |
| Metabolism | Identification of bacteriocin-like inhibitors from rumen Streptococcus spp. and isolation and characterization of bovicin 255. | Whitford MF, McPherson MA, Forster RJ, Teather RM. | Appl Environ Microbiol | 10.1128/aem.67.2.569-574.2001 | 2001 |
| #1292 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 3073 |
| #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) . |
| #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 . |
| #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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