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Phylogenetic analysis of bacteria associated with AscidianPhallusia julineaandinhibitory activity of extracellular protein against clinical isolate

Research output: Contribution to journalArticlepeer-review

Abstract

Microbial diversity can be understood through their classification system and phylogenetic identification. The phylogenetic part of ascidian-associated bacteria was used in 16S rDNA sequencing. Ascidians and bacterial interactions occur in many forms. Theprocess of interaction between ascidians and microbes occurs through filter feeding.Bacterial symbiosis has an important role in providing energy and nutrients and inhibiting microbial pathogens. Microbes that are symbiotic with ascidians may produce metabolites that have biological activity like antimicrobial. The objective of this study is to identify bacterial isolates from ascidian based on their 16S rDNA sequencing and producing antimicrobial protein that could inhibit clinical isolates (Candida albicans, Enteropath ogenicE. coli (EPEC), Staphylococcus aureus and methicillin-resistant Staphylococcus aureus (MRSA).The methods were isolation using SCW medium and screening antimicrobial compound using double layer method, identification of isolate bassed on 16S rDNA,their extracellularproteins precipited using ammonium sulfate,split into two fraction by percent saturation range fraction 0 - 40% and 40-80%.To determine protein profile using SDS-PAGE. The result showed that isolate Pj-1 was a species Pseudomonas aeruginosa.The sequence of the bacteria was submitted in DDBJ, with accession number KF670598, resulting in the highest sequence similarity values of 99%. Pure fraction protein 40 - 80 % can inhibit with inhibition zone EPEC 9±0.6 mm and C. albicans 9±1.8 mm. Protein profile pure fraction 40 - 80 % was in range 8 – 98 kDa. P aeruginosa could produce antimicrobial protein are knownpyocins.

Original languageEnglish
Pages (from-to)730-736
Number of pages7
JournalInternational Journal of PharmTech Research
Volume8
Issue number4
Publication statusPublished - 13 Aug 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 16S rDNA sequencing
  • Ascidian
  • Pseudomonas aeruginosa
  • Pyocins

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