Using metagenomics-based method to isolate new compounds from the marine environmentare getting more and more attentionin recent years. Based on metagenome library, bioinformatics methods is a powerful toolfor screening genes with new biological activities from uncultured microorganisms and become abreakthrough inresearch and application of biotechnology. In this studywe selected and used the samples DNAQT2which had high DNA content and purityfrom a total of6 DNA samples of sponge-associated microorganisms collected in Quang Tri sea (Vietnam)for metagenomic sequencing (DNA concentrationis202.5 ng, A260/A280value is1.80). 16S rRNA metagenomic sequencing data of QT2 produced 44,117,722 reads, which were assembled into 120,236 contigs. ORF prediction using Prodigal produced 386,416 ORFs. Functional annotation was conducted based on 7 different databases (NR, COG, CAZy, Swissprot, GO, KEGG, Pfam),and there are266,553 genes were annotated using Swiss-Prot. In addition, based onthe obtained metagenomic data, 50 complete genes encoding protease inhibitor proteinswere revealed and among them, 28 genes encoding protein (>50%) belonged to the serine protease inhibitor family, and22 genes genes encoding belonged to the Inter-alpha-trypsin inhibitor group. NCBI BLAST screening results thatthese proteins had higher 50%identityto protease inhibitors.
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