Streptococcus parasuis SUT-286 is a microaerophile, mesophilic animal pathogen that was isolated from saliva from clinically healthy pig.
microaerophile mesophilic animal pathogen genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Streptococcaceae |
| Genus Streptococcus |
| Species Streptococcus parasuis |
| Full scientific name Streptococcus parasuis Nomoto et al. 2015 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 21944 | COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) | Medium recipe at MediaDive | Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base | ||
| 21944 | TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) | Medium recipe at MediaDive | Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68381 | 40585 ChEBI | alpha-cyclodextrin | + | builds acid from | from API rID32STR |
| 68381 | 29016 ChEBI | arginine | + | hydrolysis | from API rID32STR |
| 68381 | 18333 ChEBI | D-arabitol | - | builds acid from | from API rID32STR |
| 68381 | 16899 ChEBI | D-mannitol | - | builds acid from | from API rID32STR |
| 68381 | 16988 ChEBI | D-ribose | - | builds acid from | from API rID32STR |
| 68381 | 16443 ChEBI | D-tagatose | - | builds acid from | from API rID32STR |
| 68381 | 28087 ChEBI | glycogen | + | builds acid from | from API rID32STR |
| 68381 | 606565 ChEBI | hippurate | - | hydrolysis | from API rID32STR |
| 68381 | 30849 ChEBI | L-arabinose | - | builds acid from | from API rID32STR |
| 68381 | 17306 ChEBI | maltose | + | builds acid from | from API rID32STR |
| 68381 | 6731 ChEBI | melezitose | - | builds acid from | from API rID32STR |
| 68381 | 28053 ChEBI | melibiose | - | builds acid from | from API rID32STR |
| 68381 | 320055 ChEBI | methyl beta-D-glucopyranoside | - | builds acid from | from API rID32STR |
| 68381 | 27941 ChEBI | pullulan | + | builds acid from | from API rID32STR |
| 68381 | 16634 ChEBI | raffinose | + | builds acid from | from API rID32STR |
| 68381 | 30911 ChEBI | sorbitol | - | builds acid from | from API rID32STR |
| 68381 | 17992 ChEBI | sucrose | + | builds acid from | from API rID32STR |
| 68381 | 27082 ChEBI | trehalose | + | builds acid from | from API rID32STR |
| 68381 | 16199 ChEBI | urea | - | hydrolysis | from API rID32STR |
| @ref | Chebi-ID | Metabolite | Production | |
|---|---|---|---|---|
| 68381 | 15688 ChEBI | acetoin | from API rID32STR |
| @ref | Chebi-ID | Metabolite | Voges-proskauer-test | |
|---|---|---|---|---|
| 68381 | 15688 ChEBI | acetoin | + | from API rID32STR |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68381 | Alanyl-Phenylalanyl-Proline arylamidase | + | from API rID32STR | |
| 68381 | alpha-galactosidase | + | 3.2.1.22 | from API rID32STR |
| 68381 | arginine dihydrolase | + | 3.5.3.6 | from API rID32STR |
| 68381 | beta-glucosidase | + | 3.2.1.21 | from API rID32STR |
| 68381 | beta-glucuronidase | - | 3.2.1.31 | from API rID32STR |
| 68381 | beta-mannosidase | + | 3.2.1.25 | from API rID32STR |
| 21944 | catalase | - | 1.11.1.6 | |
| 21944 | cytochrome-c oxidase | - | 1.9.3.1 | |
| 68381 | glycyl tryptophan arylamidase | + | from API rID32STR | |
| 68381 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32STR |
| 68381 | pyrrolidonyl arylamidase | + | 3.4.19.3 | from API rID32STR |
| 68381 | urease | - | 3.5.1.5 | from API rID32STR |
| @ref | ADH (Arg) | beta GLU | beta GAR | beta GUR | alpha GAL | PAL | RIB | MAN | SOR | LAC | TRE | RAF | SAC | LARA | DARL | Acid from alpha-cyclodextrinCDEX | Acetoin production (Voges Proskauer test)VP | Alanyl-Phenylalanyl-Proline arylamidaseAPPA | beta GAL | Pyrrolidonyl arylamidasePyrA | N-Acetyl-glucosaminidasebeta NAG | Glycyl-tryptophan arylamidaseGTA | HIP | GLYG | PUL | MAL | MEL | MLZ | Acidification of methyl beta-D-glucopyranosideMbeta DG | TAG | beta MAN | URE | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21944 | + | + | + | - | + | + | - | - | - | +/- | + | + | + | - | - | + | + | + | +/- | + | - | + | - | + | + | + | - | - | - | - | + | - | |
| 21944 | + | + | + | - | + | - | - | - | - | + | + | + | + | - | - | + | + | + | + | + | - | + | - | + | + | + | - | - | - | - | + | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Suidae (Pig,Swine) | |
| #Host Body Product | #Oral cavity and Airways | #Saliva |
Global distribution of 16S sequence AB936273 (>99% sequence identity) for Streptococcus from Microbeatlas ![]()
| @ref | Pathogenicity animal | Biosafety level | Biosafety level comment | |
|---|---|---|---|---|
| 21944 | 2 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2165445v1 assembly for Streptococcus parasuis SUT-286 | complete | 1501662 | 99.08 | ||||
| 124043 | ASM4054548v1 assembly for Streptococcus parasuis DSM 29126 | contig | 1501662 | 68.12 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 21944 | Streptococcus parasuis gene for 16S ribosomal RNA, partial sequence | AB936273 | 1411 | 1501662 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 87.60 | no |
| 125439 | motility | BacteriaNetⓘ | no | 66.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 88.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 95.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 88.40 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 90.16 | yes |
| 125438 | aerobic | aerobicⓘ | no | 96.23 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 85.14 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.94 | no |
| 125438 | flagellated | motile2+ⓘ | no | 92.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Culturomics of the pig tonsil microbiome identifies new species and an untapped source of novel antimicrobials. | de Oliveira IMF, Fredriksen S, Gutierrez MF, Harmsen HJM, Boekhorst J, van Baarlen P, Wells JM. | Microbiome | 10.1186/s40168-025-02064-3 | 2025 | ||
| Enzymology | Comparative genomics of Rothia species reveals diversity in novel biosynthetic gene clusters and ecological adaptation to different eukaryotic hosts and host niches. | Oliveira IMF, Ng DYK, van Baarlen P, Stegger M, Andersen PS, Wells JM. | Microb Genom | 10.1099/mgen.0.000854 | 2022 | |
| Phylogeny | Whole-Genome Sequencing Evaluation of MALDI-TOF MS as a Species Identification Tool for Streptococcus suis. | Werinder A, Aspan A, Soderlund R, Backhans A, Sjolund M, Guss B, Jacobson M. | J Clin Microbiol | 10.1128/jcm.01297-21 | 2021 | |
| Phylogeny | Reappraisal of the taxonomy of Streptococcus suis serotypes 20, 22 and 26: Streptococcus parasuis sp. nov. | Nomoto R, Maruyama F, Ishida S, Tohya M, Sekizaki T, Osawa R | Int J Syst Evol Microbiol | 10.1099/ijs.0.067116-0 | 2014 |
| #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 ) |
| #21944 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29126 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68381 | Automatically annotated from API rID32STR . |
| #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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