Complete genome of Polaromonas vacuolata KCTC 22033T isolated from beneath Antarctic Sea ice

Armenteros, 2019, SignalP 5.0 improves signal peptide predictions using deep neural networks, Nat. Biotechnol., 37, 420, 10.1038/s41587-019-0036-z Arndt, 2016, PHASTER: a better, faster version of the PHAST phage search tool, Nucleic Acids Res., 44, W16, 10.1093/nar/gkw387 Bertelli, 2017, IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets, Nucleic Acids Res., 45, W30, 10.1093/nar/gkx343 Chin, 2013, Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data, Nat. Methods, 10, 563, 10.1038/nmeth.2474 Choi, 2018, Polaromonas ginsengisoli sp. nov., isolated from ginseng field soil, Int. J. Syst. Evol. Microbiol., 68, 1436, 10.1099/ijsem.0.002669 Gomez-Consarnau, 2010, Proteorhodopsin phototrophy promotes survival of marine bacteria during starvation, PLoS Biol., 8, 10.1371/journal.pbio.1000358 Grant, 2008, The CGView server: a comparative genomics tool for circular genomes, Nucleic Acids Res., 36, W181, 10.1093/nar/gkn179 Guo, 2017, Structure of a 1.5-MDa adhesin that binds its Antarctic bacterium to diatoms and ice, Sci. Adv., 3, 10.1126/sciadv.1701440 Irgens, 1989, Gas vacuolate bacteria obtained from marine waters of Antarctica, Curr. Microbiol., 18, 261, 10.1007/BF01570303 Irgens, 1996, Polaromonas vacuolata gen. Nov., sp. nov., a psychrophilic, marine, gas vacuolate bacterium from Antarctica, Int. J. Syst. Bacteriol., 46, 822, 10.1099/00207713-46-3-822 Jones, 2014, InterProScan 5: genome-scale protein function classification, Bioinformatics, 30, 1236, 10.1093/bioinformatics/btu031 Kanehisa, 2000, KEGG: Kyoto encyclopedia of genes and genomes, Nucleic Acids Res., 28, 27, 10.1093/nar/28.1.27 Kappes, 1996, Three transport systems for the osmoprotectant glycine betaine operate in Bacillus subtilis: characterization of OpuD, J. Bacteriol., 178, 5071, 10.1128/JB.178.17.5071-5079.1996 Kim, 2017, Complete genome of a metabolically-diverse marine bacterium Shewanella japonica KCTC 22435(T), Mar. Genomics, 35, 39, 10.1016/j.margen.2017.05.004 Krogh, 2001, Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes, J. Mol. Biol., 305, 567, 10.1006/jmbi.2000.4315 Liu, 2020, Phenotypic divergence of thermotolerance: molecular basis and cold adaptive evolution related to intrinsic DNA flexibility of glacier-inhabiting Cryobacterium strains, Environ. Microbiol., 22, 1409, 10.1111/1462-2920.14957 Mattes, 2008, The genome of Polaromonas sp. strain JS666: insights into the evolution of a hydrocarbon- and xenobiotic-degrading bacterium, and features of relevance to biotechnology, Appl. Environ. Microbiol., 74, 6405, 10.1128/AEM.00197-08 Roller, 2016, Exploiting rRNA operon copy number to investigate bacterial reproductive strategies, Nat. Microbiol., 1, 10.1038/nmicrobiol.2016.160 Seemann, 2014, Prokka: rapid prokaryotic genome annotation, Bioinformatics, 30, 2068, 10.1093/bioinformatics/btu153 Stoddard, 2015, rrnDB: improved tools for interpreting rRNA gene abundance in bacteria and archaea and a new foundation for future development, Nucleic Acids Res., 43, D593, 10.1093/nar/gku1201 Tatusov, 2000, The COG database: a tool for genome-scale analysis of protein functions and evolution, Nucleic Acids Res., 28, 33, 10.1093/nar/28.1.33 Yagi, 2009, The genome of Polaromonas naphthalenivorans strain CJ2, isolated from coal tar-contaminated sediment, reveals physiological and metabolic versatility and evolution through extensive horizontal gene transfer, Environ. Microbiol., 11, 2253, 10.1111/j.1462-2920.2009.01947.x