Profil Asam Amino Ekstrak Mukus Ikan Glodok (Boleophthalmus boddarti) dari Kawasan Mangrove Cilacap, Jawa Tengah

Mudskipper or glodok fish is a unique fish that can crawl and climb mangrove roots with their fins. In Indonesia, this fish is exported to abroad as a source of food. The by-product of this fish is rarely used, which one is their mucus. Protein is a composition of fish mucus which consists of amino acids. The mucus of fish has the potential as a source of medicine because it’s proven to have antibacterial, antiviral, and antifungal activities. This study aims to determine the protein and amino acid content of fresh meat and mucus extract of mudskipper. Protein content testing was carried out using the titrimetric method, while amino acid content using the UPLC method. In this study, mucus extract has protein content at 1.79%. It’s small than the protein content of fresh meat at 17.7%. The highest essential amino acid in fresh meat and mucus extract of mudskipper was leucine (15% and 0.91%). The highest nonessential amino acid in fresh meat and mucus extract of mudskipper were glutamic acid (26.4% and 1.6%). The limiting amino acid in fresh meat is leucine as 226.9% and lysine as 12.27% in the mucus extract of mudskipper.

High-quality genome sequence assembly of R.A73 Enterococcus faecium isolated from freshwater fish mucus

Background Whole-genome sequencing using high throughput technologies has revolutionized and speeded up the scientific investigation of bacterial genetics, biochemistry, and molecular biology. Lactic acid bacteria (LABs) have been extensively used in fermentation and more recently as probiotics in food products that promote health. Genome sequencing and functional genomics investigations of LABs varieties provide rapid and important information about their diversity and their evolution, revealing a significant molecular basis. This study investigated the whole genome sequences of the Enterococcus faecium strain (HG937697), isolated from the mucus of freshwater fish in Tunisian dams. Genomic DNA was extracted using the Quick-GDNA kit and sequenced using the Illumina HiSeq2500 system. Sequences quality assessment was performed using FastQC software. The complete genome annotation was carried out with the Rapid Annotation using Subsystem Technology (RAST) web server then NCBI PGAAP. Results The Enterococcus faecium R.A73 assembled in 28 contigs consisting of 2,935,283 bps. The genome annotation revealed 2884 genes in total including 2834 coding sequences and 50 RNAs containing 3 rRNAs (one rRNA 16 s, one rRNA 23 s and one rRNA 5 s) and 47 tRNAs. Twenty-two genes implicated in bacteriocin production are identified within the Enterococcus faecium R.A73 strain. Conclusion Data obtained provide insights to further investigate the effective strategy for testing this Enterococcus faecium R.A73 strain in the industrial manufacturing process. Studying their metabolism with bioinformatics tools represents the future challenge and contribution to improving the utilization of the multi-purpose bacteria in food.

High-Quality Genome Sequence Assembly of R.A73 Enterococcus faecium Isolated from Freshwater fish mucus

Background: Whole-genome sequencing using high throughput technologies has revolutionized and speeded up the scientific investigation of bacterial genetics, biochemistry, and molecular biology. Lactic acid bacteria (LABs) have been extensively used in fermentation and more recently as probiotics in food products that promote health. Genome sequencing and functional genomics investigations of LABs varieties provide rapid and important information about their diversity and their evolution, revealing a significant molecular basis.This study investigated the whole genome sequences of the Enterococcus faecium strain (HG937697), isolated from the mucus of freshwater fish in Tunisian dams. Genomic DNA was extracted using the Quick-GDNA kit and sequenced using the Illumina HiSeq2500 system. Sequences quality assessment was performed using FastQC software. The complete genome annotation was carried out with the Rapid Annotation using Subsystem Technology (RAST) web server then NCBI PGAAP. Results: The Enterococcus faecium R.A73 assembled in 28 contigs consisting of 2,935,283 bps. The genome annotation revealed 2,884 genes in total including 2,834 coding sequences and 50 RNAs containing 3 rRNAs (one rRNA 16s, one rRNA 23s and one rRNA 5s) and 47 tRNAs. Twenty-two genes implicated in bacteriocin production are identified within the Enterococcus faecium R.A73 strain. Conclusion: Data obtained provide insights to further investigate the effective strategy for testing this Enterococcus faecium R.A73 strain in the industrial manufacturing process. Studying their metabolism with bioinformatics tools represents the future challenge and contribution to improving the utilization of the multi-purpose bacteria in food.

High-Quality Genome Sequence Assembly of R.A73 Enterococcus faecium Isolated from Freshwater fish mucus

Background: Whole-genome sequencing using high throughput technologies has revolutionized and speeded up the scientific investigation of bacterial genetics, biochemistry, and molecular biology. Lactic acid bacteria (LABs) have been extensively used in fermentation and more recently as probiotics in food products that promote health. Genome sequencing and functional genomics investigations of LABs varieties provide rapid and important information about their diversity and their evolution, revealing a significant molecular basis.This study investigated the whole genome sequences of the Enterococcus faecium strain (HG937697), isolated from the mucus of freshwater fish in Tunisian dams. Genomic DNA was extracted using the Quick-GDNA kit and sequenced using the Illumina HiSeq2500 system. Sequences quality assessment was performed using FastQC software. The complete genome annotation was carried out with the RAST web server then NCBI PGAAP. Results: The Enterococcus faecium R.A73 assembled in 28 contigs consisting of 2,935,283 bps. The genome annotation revealed 2,884 genes in total including 2,834 coding sequences and 50 RNAs containing 3 rRNAs (one rRNA 16s, one rRNA 23s and one rRNA 5s) and 47 tRNAs. Twenty-two genes implicated in bacteriocin production are identified within the Enterococcus faecium R.A73 strain. Conclusion: Data obtained provide insights to further investigate the effective strategy for testing this Enterococcus faecium R.A73 strain in the industrial manufacturing process. Studying their metabolism with bioinformatics tools represents the future challenge and contribution to improving the utilization of the multi-purpose bacteria in food.