| Literature DB >> 28733934 |
Robert Cardoso de Freitas1, Estácio Jussie Odisi1, Chiaki Kato2, Marcus Adonai Castro da Silva1, André Oliveira de Souza Lima3.
Abstract
Deep-sea bacteria can produce various biotechnologically relevant enzymes due to their adaptations to high pressures and low temperatures. To identify such enzymes, we have sequenced the genome of the polycaprolactone-degrading bacterium Moritella sp. JT01, isolated from sediment samples from Japan Trench (6957 m depth), using a Illumina HiSeq2000 sequencer (12.1 million paired-end reads) and CLC Genomics Workbench (version 6.5.1) for the assembly, resulting in a 4.83-Mb genome (42 scaffolds). The genome was annotated using Rapid Annotation using Subsystem Technology (RAST), Protein Homology/analogY Recognition Engine V 2.0 (PHYRE2), and BLAST2Go, revealing 4439 protein coding sequences and 101 RNAs. Gene products with industrial relevance, such as lipases (three) and esterases (four), were identified and are related to bacterium's ability to degrade polycaprolactone. The annotation revealed proteins related to deep-sea survival, such as cold-shock proteins (six) and desaturases (three). The presence of secondary metabolite biosynthetic gene clusters suggests that this bacterium could produce nonribosomal peptides, polyunsaturated fatty acids, and bacteriocins. To demonstrate the potential of this genome, a lipase was cloned an introduced into Escherichia coli. The lipase was purified and characterized, showing activity over a wide temperature range (over 50% at 20-60 °C) and pH range (over 80% at pH 6.3 to 9). This enzyme has tolerance to the surfactant action of sodium dodecyl sulfate and shows 30% increased activity when subjected to a working pressure of 200 MPa. The genomic characterization of Moritella sp. JT01 reveals traits associated with survival in the deep-sea and their potential uses in biotechnology, as exemplified by the characterized lipase.Entities:
Keywords: Bioprospecting; Genomic; Heterologous expression; Lipase; Marine bacteria
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Year: 2017 PMID: 28733934 DOI: 10.1007/s10126-017-9767-3
Source DB: PubMed Journal: Mar Biotechnol (NY) ISSN: 1436-2228 Impact factor: 3.619