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Gacesa, Ranko; Baranasic, Damir; Starcevic, Antonio; Diminic, Janko; Korlević, Marino; Najdek, Mirjana; Blažina, Maria; Oršolić, Davor; Kolesarić, Domagoj; Long, Paul F; Cullum, John; Hranueli, Daslav; Orlic, Sandi; Zucko, Jurica
Food technology and biotechnology, 06/2018, Letnik: 56, Številka: 2Journal Article
Three metagenomic libraries were constructed using surface sediment samples from the northern Adriatic Sea. Two of the samples were taken from a highly polluted and an unpolluted site respectively. The third sample from a polluted site had been enriched using crude oil. The results of the metagenome analyses were incorporated in the REDPET relational database (http://redpet.bioinfo.pbf.hr/REDPET), which was generated using the previously developed MEGGASENSE platform. The database includes taxonomic data to allow the assessment of the biodiversity of metagenomic libraries and a general functional analysis of genes using hidden Markov model (HMM) profiles based on the KEGG database. A set of 22 specialised HMM profiles was developed to detect putative genes for hydrocarbon-degrading enzymes. Use of these profiles showed that the metagenomic library generated after selection on crude oil had enriched genes for aerobic -alkane degradation. The use of this system for bioprospecting was exemplified using potential and genes from this library.
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