Serratia ureilytica DSM 16952 is an aerobe, Gram-negative, motile prokaryote that was isolated from water from Torsa River.
Gram-negative motile rod-shaped aerobe genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Enterobacterales |
| Family Yersiniaceae |
| Genus Serratia |
| Species Serratia ureilytica |
| Full scientific name Serratia ureilytica Bhadra et al. 2005 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 33270 | MEDIUM 72- for trypto casein soja agar | Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g) | |||
| 123743 | CIP Medium 72 | Medium recipe at CIP | |||
| 6664 | CASO AGAR (MERCK 105458) (DSMZ Medium 220) | Medium recipe at MediaDive | Name: CASO AGAR (MERCK 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water |
| 31489 | Observationaggregates in clumps |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 31489 | 18240 ChEBI | 4-hydroxy-L-proline | + | carbon source | |
| 31489 | 30089 ChEBI | acetate | + | carbon source | |
| 31489 | 16449 ChEBI | alanine | + | carbon source | |
| 68371 | 27613 ChEBI | amygdalin | - | builds acid from | from API 50CH acid |
| 68371 | 18305 ChEBI | arbutin | + | builds acid from | from API 50CH acid |
| 31489 | 29016 ChEBI | arginine | + | carbon source | |
| 68371 | 17108 ChEBI | D-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18333 ChEBI | D-arabitol | - | builds acid from | from API 50CH acid |
| 68371 | 15824 ChEBI | D-fructose | + | builds acid from | from API 50CH acid |
| 68371 | 28847 ChEBI | D-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 12936 ChEBI | D-galactose | + | builds acid from | from API 50CH acid |
| 68371 | 17634 ChEBI | D-glucose | + | builds acid from | from API 50CH acid |
| 68371 | 62318 ChEBI | D-lyxose | + | builds acid from | from API 50CH acid |
| 68371 | 16899 ChEBI | D-mannitol | + | builds acid from | from API 50CH acid |
| 68371 | 16024 ChEBI | D-mannose | + | builds acid from | from API 50CH acid |
| 68371 | 16988 ChEBI | D-ribose | + | builds acid from | from API 50CH acid |
| 68371 | 17924 ChEBI | D-sorbitol | + | builds acid from | from API 50CH acid |
| 68371 | 16443 ChEBI | D-tagatose | - | builds acid from | from API 50CH acid |
| 68371 | 65327 ChEBI | D-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17113 ChEBI | erythritol | + | builds acid from | from API 50CH acid |
| 31489 | 4853 ChEBI | esculin | + | hydrolysis | |
| 68371 | 4853 ChEBI | esculin | + | builds acid from | from API 50CH acid |
| 68371 | 16813 ChEBI | galactitol | - | builds acid from | from API 50CH acid |
| 68371 | 28066 ChEBI | gentiobiose | - | builds acid from | from API 50CH acid |
| 68371 | 24265 ChEBI | gluconate | + | builds acid from | from API 50CH acid |
| 68371 | 17754 ChEBI | glycerol | + | builds acid from | from API 50CH acid |
| 68371 | 28087 ChEBI | glycogen | - | builds acid from | from API 50CH acid |
| 31489 | 27570 ChEBI | histidine | + | carbon source | |
| 68371 | 15443 ChEBI | inulin | - | builds acid from | from API 50CH acid |
| 68371 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18403 ChEBI | L-arabitol | + | builds acid from | from API 50CH acid |
| 68371 | 18287 ChEBI | L-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API 50CH acid |
| 68371 | 17266 ChEBI | L-sorbose | - | builds acid from | from API 50CH acid |
| 68371 | 65328 ChEBI | L-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17716 ChEBI | lactose | - | builds acid from | from API 50CH acid |
| 68371 | 17306 ChEBI | maltose | + | builds acid from | from API 50CH acid |
| 68371 | 6731 ChEBI | melezitose | - | builds acid from | from API 50CH acid |
| 31489 | 28053 ChEBI | melibiose | + | carbon source | |
| 68371 | 28053 ChEBI | melibiose | - | builds acid from | from API 50CH acid |
| 68371 | 320061 ChEBI | methyl alpha-D-glucopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 43943 ChEBI | methyl alpha-D-mannoside | - | builds acid from | from API 50CH acid |
| 68371 | 74863 ChEBI | methyl beta-D-xylopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 17268 ChEBI | myo-inositol | + | builds acid from | from API 50CH acid |
| 68371 | 59640 ChEBI | N-acetylglucosamine | + | builds acid from | from API 50CH acid |
| 31489 | 17632 ChEBI | nitrate | + | reduction | |
| 123743 | 17632 ChEBI | nitrate | + | reduction | |
| 123743 | 16301 ChEBI | nitrite | - | reduction | |
| 31489 | 18257 ChEBI | ornithine | + | carbon source | |
| 31489 | 28044 ChEBI | phenylalanine | + | carbon source | |
| 68371 | Potassium 2-ketogluconate | + | builds acid from | from API 50CH acid | |
| 68371 | Potassium 5-ketogluconate | + | builds acid from | from API 50CH acid | |
| 31489 | 26271 ChEBI | proline | + | carbon source | |
| 68371 | 16634 ChEBI | raffinose | - | builds acid from | from API 50CH acid |
| 31489 | 15963 ChEBI | ribitol | + | carbon source | |
| 68371 | 15963 ChEBI | ribitol | + | builds acid from | from API 50CH acid |
| 68371 | 17814 ChEBI | salicin | + | builds acid from | from API 50CH acid |
| 31489 | 17822 ChEBI | serine | + | carbon source | |
| 31489 | 30911 ChEBI | sorbitol | + | carbon source | |
| 68371 | 28017 ChEBI | starch | - | builds acid from | from API 50CH acid |
| 31489 | 30031 ChEBI | succinate | + | carbon source | |
| 68371 | 17992 ChEBI | sucrose | + | builds acid from | from API 50CH acid |
| 31489 | 26986 ChEBI | threonine | + | carbon source | |
| 68371 | 27082 ChEBI | trehalose | + | builds acid from | from API 50CH acid |
| 68371 | 32528 ChEBI | turanose | - | builds acid from | from API 50CH acid |
| 68371 | 17151 ChEBI | xylitol | + | builds acid from | from API 50CH acid |
| 31489 | 18222 ChEBI | xylose | + | carbon source |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | + | 3.1.3.2 | from API zym |
| 123743 | alcohol dehydrogenase | - | 1.1.1.1 | |
| 68382 | alkaline phosphatase | + | 3.1.3.1 | from API zym |
| 68382 | alpha-chymotrypsin | - | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68382 | alpha-glucosidase | + | 3.2.1.20 | from API zym |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 68382 | beta-galactosidase | + | 3.2.1.23 | from API zym |
| 68382 | beta-glucosidase | + | 3.2.1.21 | from API zym |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 31489 | catalase | + | 1.11.1.6 | |
| 123743 | catalase | + | 1.11.1.6 | |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 68382 | esterase (C 4) | + | from API zym | |
| 68382 | esterase lipase (C 8) | + | from API zym | |
| 68382 | leucine arylamidase | + | 3.4.11.1 | from API zym |
| 68382 | lipase (C 14) | + | from API zym | |
| 123743 | lysine decarboxylase | + | 4.1.1.18 | |
| 68382 | N-acetyl-beta-glucosaminidase | + | 3.2.1.52 | from API zym |
| 68382 | naphthol-AS-BI-phosphohydrolase | + | from API zym | |
| 123743 | ornithine decarboxylase | + | 4.1.1.17 | |
| 123743 | oxidase | - | ||
| 68382 | trypsin | + | 3.4.21.4 | from API zym |
| 31489 | urease | + | 3.5.1.5 | |
| 123743 | urease | + | 3.5.1.5 | |
| 68382 | valine arylamidase | + | from API zym |
| @ref | ControlQ | GLY | ERY | DARA | LARA | RIB | DXYL | LXYL | ADO | MDX | GAL | GLU | FRU | MNE | SBE | RHA | DUL | INO | MAN | SOR | MDM | MDG | NAG | AMY | ARB | ESC | SAL | CEL | MAL | LAC | MEL | SAC | TRE | INU | MLZ | RAF | AMD | GLYG | XLT | GEN | TUR | LYX | TAG | DFUC | LFUC | DARL | LARL | GNT | 2KG | 5KG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123743 | not determinedn.d. | + | + | - | - | + | - | - | + | - | + | + | + | + | - | - | - | + | + | + | - | - | + | - | + | + | + | +/- | + | - | - | + | + | - | - | - | - | - | + | - | - | + | - | - | - | - | + | + | + | + |
Global distribution of 16S sequence LC507943 (>99% sequence identity) for Serratia marcescens from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 89.30 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 94.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 100.00 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 97.65 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 88.92 | yes |
| 125438 | aerobic | aerobicⓘ | no | 54.88 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.50 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 77.99 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Adaptive Strategies in a Poly-Extreme Environment: Differentiation of Vegetative Cells in Serratia ureilytica and Resistance to Extreme Conditions. | Filippidou S, Junier T, Wunderlin T, Kooli WM, Palmieri I, Al-Dourobi A, Molina V, Lienhard R, Spangenberg JE, Johnson SL, Chain PSG, Dorador C, Junier P. | Front Microbiol | 10.3389/fmicb.2019.00102 | 2019 | ||
| Complete genome of a Serratia species isolated from PFAS-impacted soil. | Baker IR, Colston SM, Hervey WJ, Bird LJ. | Microbiol Resour Announc | 10.1128/mra.00640-23 | 2023 | ||
| Type I Fimbriae Promote the Virulence of Serratia ureilytica Strains that Cause Cucurbit Yellow Vine Disease While Impeding Biofilm Formation In Vitro. | Mphande K, LaSarre B, Gleason ML, Beattie GA. | Phytopathology | 10.1094/phyto-05-25-0165-r | 2025 | ||
| Bacteria that Cause Cucurbit Yellow Vine Disease Fall Within the Serratia ureilytica Species of the S. marcescens Complex and Can Be Vectored by Cucumber Beetles. | Mphande K, LaSarre B, Paulsen AA, Hartung R, Badilla-Arias S, Gleason ML, Beattie GA. | Phytopathology | 10.1094/phyto-10-24-0321-r | 2025 | ||
| Microbiological Safety of Donor Human Milk: Comparing Culture-Based Methods for Enterobacterales Detection. | Dawczynski L, Leder NH, Trommer S, Kipp F, Stein C. | Microorganisms | 10.3390/microorganisms13102259 | 2025 | ||
| Detection of a novel SME-6 Carbapenemase in Serratia ureilytica in Germany. | Kocer K, Gopel L, Gisch S, Tueffers L, Hauswaldt S, Rupp J, Boutin S, Nurjadi D. | J Antimicrob Chemother | 10.1093/jac/dkaf121 | 2025 | ||
| Complete genome sequence of Serratia ureilytica KML.E1, a copper-tolerant strain isolated from a disused tungsten mine. | Leung KM, Wyatt GR, Lai GKK, Leung FCC, Griffin SDJ. | Microbiol Resour Announc | 10.1128/mra.00379-24 | 2024 | ||
| Compatibility of Serratia ureylitica Su_YN1, Malaria Transmission-Blocking Bacterium, with the Anopheles aquasalis Vector. | Ferreira MADS, Martins ESDR, Katak RM, Campos KMM, Rocha EM, Roque RA, Lalwani PJ, Silva LA, Carmo EJD, de Andrade PP, Wang S, Moreira LA, Jacobs-Lorena M, Rios-Velasquez CM. | Trop Med Infect Dis | 10.3390/tropicalmed10090249 | 2025 | ||
| Phylogeny | In vitro Acaricidal Activity of Serratia Ureilytica Against the Dust Mite Tyrophagus Putrescentiae and Identification of Genes Related to Biocontrol. | Espinosa-Zaragoza S, Dominguez-Lievano A, Gomez-Gutierrez JA, Wong-Villarreal A, Aguilar-Marcelino L, Cerqueda-Garcia D, Rangel-Zaragoza JL, Sanzon-Gomez D, Mireles-Arriaga AI, Sachman-Ruiz B. | Curr Microbiol | 10.1007/s00284-024-03728-3 | 2024 | |
| Genetics | Genome Sequence Resource of Serratia ureilytica HNU47: A Strain with Biocontrol Potential Against Bacterial Wilt Pathogen Ralstonia solanacearum. | Cao X, Ye Y, Li P. | Plant Dis | 10.1094/pdis-06-22-1339-a | 2023 | |
| Beauveria bassiana keratitis - the first Hungarian case report. | Rak T, Hargitai R, Sonnevend A, Csutak A, Szalai E. | BMC Ophthalmol | 10.1186/s12886-025-04493-y | 2025 | ||
| Deciphering the complex interplay between gut microbiota and crop residue breakdown in forager and hive bees (Apis mellifera L.). | Rudra Gouda MN, Kumaranag KM, Ramakrishnan B, Subramanian S. | Curr Res Microb Sci | 10.1016/j.crmicr.2024.100233 | 2024 | ||
| Genetics | Analyzing Antibiotic Resistance in Bacteria from Wastewater in Pakistan Using Whole-Genome Sequencing. | Sattar F, Hu X, Saxena A, Mou K, Shen H, Ali H, Ghauri MA, Sarwar Y, Ali A, Li G. | Antibiotics (Basel) | 10.3390/antibiotics13100937 | 2024 | |
| Emergence of rare carbapenemases (FRI, GES-5, IMI, SFC and SFH-1) in Enterobacterales isolated from surface waters in Japan. | Gomi R, Matsumura Y, Tanaka M, Ihara M, Sugie Y, Matsuda T, Yamamoto M. | J Antimicrob Chemother | 10.1093/jac/dkac029 | 2022 | ||
| Understanding Serratia bockelmannii transmission during a neonatal intensive care unit outbreak: a combined genotyping and case-control study. | Jaakkola K, Fischer A, Piquart L, Cassier P, Dauwalder O, Picaud JC, Colomb-Cotinat M, Hays S, Rasigade JP, Dananche C. | Antimicrob Resist Infect Control | 10.1186/s13756-025-01632-4 | 2025 | ||
| Nematicidal Activity of the Endophyte Serratia ureilytica against Nacobbus aberrans in Chili Plants (Capsicum annuum L.) and Identification of Genes Related to Biological Control. | Wong-Villarreal A, Mendez-Santiago EW, Gomez-Rodriguez O, Aguilar-Marcelino L, Garcia DC, Garcia-Maldonado JQ, Hernandez-Velazquez VM, Yanez-Ocampo G, Espinosa-Zaragoza S, I Ramirez-Gonzalez S, Sanzon-Gomez D. | Plants (Basel) | 10.3390/plants10122655 | 2021 | ||
| Control of damping-off in tomato seedlings exerted by Serratia spp. strains and identification of inhibitory bacterial volatiles in vitro. | Abreo E, Valle D, Gonzalez A, Altier N. | Syst Appl Microbiol | 10.1016/j.syapm.2020.126177 | 2021 | ||
| Genetics | A long-term survey of Serratia spp. bloodstream infections revealed an increase of antimicrobial resistance involving adult population. | Perez-Viso B, Hernandez-Garcia M, Rodriguez CM, D Fernandez-de-Bobadilla M, Serrano-Tomas MI, Sanchez-Diaz AM, Avendano-Ortiz J, Coque TM, Ruiz-Garbajosa P, Del Campo R, Canton R. | Microbiol Spectr | 10.1128/spectrum.02762-23 | 2024 | |
| Genetics | Genomic characterisation of an entomopathogenic strain of Serratia ureilytica in the critically endangered phasmid Dryococelus australis. | Allen JL, Doidge NP, Cheng C, Lynch M, Crabb HK, Scheerlinck JP, Bushell R, Browning GF, Marenda MS. | PLoS One | 10.1371/journal.pone.0265967 | 2022 | |
| Genetics | Multidrug resistance in bacteria associated with leafy greens and soil in urban agriculture systems. | Harrelson E, Zeng Q, Gao M, Toro M, Blaustein RA. | Front Plant Sci | 10.3389/fpls.2025.1664284 | 2025 | |
| Intestinal Dominance by Serratia marcescens and Serratia ureilytica among Neonates in the Setting of an Outbreak. | Dahdouh E, Lazaro-Perona F, Ruiz-Carrascoso G, Sanchez Garcia L, Saenz de Pipaon M, Mingorance J. | Microorganisms | 10.3390/microorganisms9112271 | 2021 | ||
| Enzymology | Homology Modeling and Probable Active Site Cavity Prediction of Uncharacterized Arsenate Reductase in Bacterial spp. | Rahman MS, Hossain MS, Saha SK, Rahman S, Sonne C, Kim KH. | Appl Biochem Biotechnol | 10.1007/s12010-020-03392-w | 2021 | |
| The ICU environment contributes to the endemicity of the "Serratia marcescens complex" in the hospital setting. | Aracil-Gisbert S, Fernandez-De-Bobadilla MD, Guerra-Pinto N, Serrano-Calleja S, Perez-Cobas AE, Soriano C, de Pablo R, Lanza VF, Perez-Viso B, Reuters S, Hasman H, Canton R, Baquero F, Coque TM. | mBio | 10.1128/mbio.03054-23 | 2024 | ||
| Evaluation of three sample preparation methods for the identification of clinical strains by using two MALDI-TOF MS systems. | Wang J, Wang H, Cai K, Yu P, Liu Y, Zhao G, Chen R, Xu R, Yu M. | J Mass Spectrom | 10.1002/jms.4696 | 2021 | ||
| Pseudomonas mendocina Isolated from Anopheles Midguts has a Greater Potential to Build Thick Biofilms than Serratia marcescens. | Marques M, Pobre V, Costa SS, Pinto SN, Silveira H. | ACS Omega | 10.1021/acsomega.5c01640 | 2025 | ||
| Holobiont perspectives on tripartite interactions among microbiota, mosquitoes, and pathogens. | Zheng R, Wang Q, Wu R, Paradkar PN, Hoffmann AA, Wang GH. | ISME J | 10.1038/s41396-023-01436-7 | 2023 | ||
| Dynamic changes of gut microbiota in Oncomelania hupensis caused by Schistosoma japonicum infection | Hong A, Huang S, Zhang M, Chen H, Huang J, Yu Z. | Comparative Immunology Reports | 2025 | |||
| Biotechnology | Cultivation and sequencing-free protocol for Serratia marcescens detection and typing. | Alvaro A, Piazza A, Papaleo S, Perini M, Pasala AR, Panelli S, Nardi T, Nodari R, Sterzi L, Pagani C, Merla C, Castelli D, Olivieri E, Bracco S, Ferrando ML, Saluzzo F, Rimoldi SG, Corbella M, Cavallero A, Prati P, Farina C, Cirillo DM, Zuccotti G, Comandatore F. | iScience | 10.1016/j.isci.2024.109402 | 2024 | |
| Genetics | Systematic analysis of plasmids of the Serratia marcescens complex using 142 closed genomes. | Nagano DS, Taniguchi I, Ono T, Nakamura K, Gotoh Y, Hayashi T. | Microb Genom | 10.1099/mgen.0.001135 | 2023 | |
| Leishmania sand fly-transmission is disrupted by Delftia tsuruhatensis TC1 bacteria. | Cecilio P, Rogerio LA, D Serafim T, Tang K, Willen L, Iniguez E, Meneses C, Chaves LF, Zhang Y, Dos Santos Felix L, Huang W, Garcia Guizzo M, Castaneda-Casado P, Jacobs-Lorena M, Valenzuela JG, Rodrigues J, Oliveira F. | Nat Commun | 10.1038/s41467-025-58769-4 | 2025 | ||
| Comparative Gut Proteome of Nyssomyia umbratilis from Leishmaniasis Endemic and Non-Endemic Areas of Amazon Reveals Differences in Microbiota and Proteins Related to Immunity and Gut Function. | Tempone AJ, Spelta GI, Ramos de Almeida V, Giglioti DM, Costa EM, Mathias I, Vargas H, Lemos-Silva T, Ribeiro ACPDS, Marialva EF, Rios-Velasquez C, Batista M, Santos MDMD, Pessoa FAC, Traub-Cseko YM. | Microorganisms | 10.3390/microorganisms13061304 | 2025 | ||
| Genetics | A national outbreak of Serratia marcescens complex: investigation reveals genomic population structure but no source, Norway, June 2021 to February 2023. | Taxt AM, Eldholm V, Kols NI, Haugan MS, Raffelsberger N, Asfeldt AM, Ingebretsen A, Blomfeldt A, Kilhus KS, Lindemann PC, Bentele H, Stalcrantz J, Odeskaug LE, Berg TC, Norwegian Serratia study group. | Euro Surveill | 10.2807/1560-7917.es.2025.30.5.2400291 | 2025 | |
| Enzymology | The main spoilage-related psychrotrophic bacteria in refrigerated raw milk. | Ribeiro Junior JC, de Oliveira AM, Silva FG, Tamanini R, de Oliveira ALM, Beloti V. | J Dairy Sci | 10.3168/jds.2017-13069 | 2018 | |
| The interaction of Serratia bacteria and harmonine in harlequin ladybird confers an interspecies competitive edge. | Zhang C, Zhou H, He K, Xiao Y, Chen M, Zuo Z, Shu R, Geng Y, Jin S, Mei Y, He B, Li F. | Proc Natl Acad Sci U S A | 10.1073/pnas.2417873121 | 2025 | ||
| Genetics | Comprehensive genomic analysis of type VI secretion system diversity and associated proteins in Serratia. | Jiang L, Yi W, Zhao Y, Zhu N, Zhao D, Peng Z, Song L, Dong T, Jiang X, Liu D, Ji X, Guan Q, Jiang H. | Microb Genom | 10.1099/mgen.0.001424 | 2025 | |
| Genetics | Escherichia coli in urban marine sediments: interpreting virulence, biofilm formation, halotolerance, and antibiotic resistance to infer contamination or naturalization. | Erb IK, Suarez C, Frank EM, Bengtsson-Palme J, Lindberg E, Paul CJ. | FEMS Microbes | 10.1093/femsmc/xtae024 | 2024 | |
| From phyllosphere to insect cuticles: silkworms gather antifungal bacteria from mulberry leaves to battle fungal parasite attacks. | Zhao P, Hong S, Li Y, Chen H, Gao H, Wang C. | Microbiome | 10.1186/s40168-024-01764-6 | 2024 | ||
| Genetics | Higher prevalence of FTO gene risk genotypes AA rs9939609, CC rs1421085, and GG rs17817449 and saliva containing Staphylococcus aureus in obese women in Croatia. | Hudek A, Skara L, Smolkovic B, Kazazic S, Ravlic S, Nanic L, Osvatic MM, Jelcic J, Rubelj I, Bacun-Druzina V. | Nutr Res | 10.1016/j.nutres.2017.12.005 | 2017 | |
| Outer membrane vesicles from a mosquito commensal mediate targeted killing of Plasmodium parasites via the phosphatidylcholine scavenging pathway. | Gao H, Jiang Y, Wang L, Wang G, Hu W, Dong L, Wang S. | Nat Commun | 10.1038/s41467-023-40887-6 | 2023 | ||
| Effects of a supplemented diet containing 7 probiotic strains (Honeybeeotic) on honeybee physiology and immune response: analysis of hemolymph cytology, phenoloxidase activity, and gut microbiome. | Robino P, Galosi L, Bellato A, Vincenzetti S, Gonella E, Ferrocino I, Serri E, Biagini L, Roncarati A, Nebbia P, Menzio C, Rossi G. | Biol Res | 10.1186/s40659-024-00533-x | 2024 | ||
| Genetics | Monocentric observational cohort study to investigate the transmission of third-generation cephalosporin-resistant Enterobacterales in a neonatal intensive care unit in Heidelberg, Germany. | Nurjadi D, Eichel VM, Poschl J, Gille C, Kranig S, Heeg K, Boutin S. | Microbiol Spectr | 10.1128/spectrum.02038-23 | 2023 | |
| Bio-products from Serratia marcescens isolated from Ghanaian Anopheles gambiae reduce Plasmodium falciparum burden in vector mosquitoes. | Akorli EA, Ubiaru PC, Pradhan S, Akorli J, Ranford-Cartwright L. | Front Trop Dis | 10.3389/fitd.2022.979615 | 2022 | ||
| Phylogeny | The Isolation and Identification of Bacteria on Feathers of Migratory Bird Species. | Giorgio A, De Bonis S, Balestrieri R, Rossi G, Guida M. | Microorganisms | 10.3390/microorganisms6040124 | 2018 | |
| Uncovering the effect of waterlogging stress on plant microbiome and disease development: current knowledge and future perspectives. | Tyagi A, Ali S, Mir RA, Sharma S, Arpita K, Almalki MA, Mir ZA. | Front Plant Sci | 10.3389/fpls.2024.1407789 | 2024 | ||
| Gut Microbiome Profiles in Colonizations with the Enteric Protozoa Blastocystis in Korean Populations. | Kim MJ, Lee YJ, Kim TJ, Won EJ. | Microorganisms | 10.3390/microorganisms10010034 | 2021 | ||
| Reconsidering the Structure of Serlyticin-A. | Tsui KY, Tombari RJ, Olson DE, Tantillo DJ. | J Nat Prod | 10.1021/acs.jnatprod.9b00859 | 2019 | ||
| Pathogenicity | Bio-approach: Ureolytic bacteria mediated synthesis of ZnO nanocrystals on cotton fabric and evaluation of their antibacterial properties. | Dhandapani P, Siddarth AS, Kamalasekaran S, Maruthamuthu S, Rajagopal G. | Carbohydr Polym | 10.1016/j.carbpol.2013.12.074 | 2014 | |
| Comparison of carbapenem-susceptible and carbapenem-resistant Enterobacterales at nine sites in the USA, 2013-2016: a resource for antimicrobial resistance investigators. | Lutgring JD, Kent AG, Bowers JR, Jasso-Selles DE, Albrecht V, Stevens VA, Pfeiffer A, Barnes R, Engelthaler DM, Johnson JK, Gargis AS, Rasheed JK, Limbago BM, Elkins CA, Karlsson M, Halpin AL. | Microb Genom | 10.1099/mgen.0.001119 | 2023 | ||
| Assessment of the Entomopathogenic Potential of Fungal and Bacterial Isolates from Fall Armyworm Cadavers Against Spodoptera frugiperda Caterpillars and the Adult Boll Weevil, Anthonomus grandis. | Dos Santos Moreira LM, Marinho LS, Neves RCS, Harakava R, Bessa LA, Vitorino LC. | Neotrop Entomol | 10.1007/s13744-024-01159-0 | 2024 | ||
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| Metabolism | 1-Aminocyclopropane-1-carboxylic acid (ACC) deaminase-containing rhizobacteria protect Ocimum sanctum plants during waterlogging stress via reduced ethylene generation. | Barnawal D, Bharti N, Maji D, Chanotiya CS, Kalra A. | Plant Physiol Biochem | 10.1016/j.plaphy.2012.07.008 | 2012 | |
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| Down in the pond: Isolation and characterization of a new Serratia marcescens strain (LVF3) from the surface water near frog's lettuce (Groenlandia densa). | Friedrich I, Bodenberger B, Neubauer H, Hertel R, Daniel R. | PLoS One | 10.1371/journal.pone.0259673 | 2021 | ||
| Biogenic Zinc Oxide Nanoparticles and Their Biomedical Applications: A Review. | Jha S, Rani R, Singh S. | J Inorg Organomet Polym Mater | 10.1007/s10904-023-02550-x | 2023 | ||
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| Biocontrol of plant parasitic nematodes by bacteria and fungi: a multi-omics approach for the exploration of novel nematicides in sustainable agriculture. | Ayaz M, Zhao JT, Zhao W, Chi YK, Ali Q, Ali F, Khan AR, Yu Q, Yu JW, Wu WC, Qi RD, Huang WK. | Front Microbiol | 10.3389/fmicb.2024.1433716 | 2024 | ||
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| Predisposing factors, microbiological features and outcomes of patients with clinical presumed concomitant microbial and herpes simplex keratitis. | Cabrera-Aguas M, Khoo P, George CRR, Lahra MM, Watson SL. | Eye (Lond) | 10.1038/s41433-021-01440-1 | 2022 | ||
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| Metabolism | Reclamation of Marine Chitinous Materials for Chitosanase Production via Microbial Conversion by Paenibacillus macerans. | Doan CT, Tran TN, Nguyen VB, Nguyen AD, Wang SL. | Mar Drugs | 10.3390/md16110429 | 2018 | |
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| Phylogeny | Serratia ureilytica sp. nov., a novel urea-utilizing species. | Bhadra B, Roy P, Chakraborty R | Int J Syst Evol Microbiol | 10.1099/ijs.0.63674-0 | 2005 |
| #6664 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16952 |
| #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 ) |
| #27787 | IJSEM 2155 2005 ( DOI 10.1099/ijs.0.63674-0 , PubMed 16166724 ) |
| #31489 | 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 #27787 |
| #33270 | ; Curators of the CIP; |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68371 | Automatically annotated from API 50CH acid . |
| #68382 | Automatically annotated from API zym . |
| #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 . |
| #123743 | Collection of Institut Pasteur ; Curators of the CIP; CIP 108937 |
| #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