Details

Autor(en) / Beteiligte

• 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

Titel

Bioprospecting for Genes Encoding Hydrocarbon-Degrading Enzymes from Metagenomic Samples Isolated from 
Northern Adriatic Sea Sediments

Ist Teil von

• Food technology and biotechnology, 2018-06, Vol.56 (2), p.270-277

Ort / Verlag

Croatia: Sveuciliste U Zagrebu

Erscheinungsjahr

2018

Quelle

EBSCOhost Business Source Ultimate

Beschreibungen/Notizen

• 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.