Journal Of Applied Biology And Biotechnology

Open Access
SCOPUSWeb of Science
  • Year: 2025
  • Volume: 13
  • Issue: 1

Microbial diversity of biofilm in spent nuclear fuel storage pond

  • Author:
  • Dyah Sulistyani Rahayu1, Laksmi Ambarsari2, Waras Nurcholis2,*, Syalwa Ersadiwi Shalsabilla3, Alma Fadilah3, Muhammad Fajar Sanjaya4, Rahmad Ramdani Sambari4, Firdaus Ramadhan3, Mohammad Syamsul Rijal3, Intan Ghaisani Nadyaputri5, Irawan Sugoro4
  • Total Page Count: 7
  • Published Online: Jan 3, 2026
  • Page Number: 143 to 149

1Department of Nuclear Facility Management, National Research and Innovation Agency (BRIN), Science and Technology Area BJ Habibie, Tangerang Selatan, Indonesia

2Department of Biochemistry, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia

3Department of Biology, Science and Technology, Universitas Islam Negeri Syarif Hidayatullah Jakarta, South Tangerang, Indonesia

4Research Organization for Nuclear Energy, National Research and Innovation Agency (BRIN), South Jakarta, Indonesia

5Department of Biology, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia

Abstract

Spent nuclear fuel (SNF) storage is a facility requiring careful attention to prevent corrosion, with microbial-induced corrosion (MIC) being a significant contributing factor. While previous investigations have genetically identified total microbes and sulfate-reducing bacteria (SRB) in SNF storage ponds, similar studies have highlighted the dominance of Proteobacteria and Firmicutes in these environments. Therefore, this study aimed to identify the diversity of bacteria biofilm in SNF storage ponds through a metagenomic approach, with a specific focus on those potentially causing MIC. The results showed that the rack had the highest number of taxa based on taxonomic identification. The bacteria community on the rack, at the phylum level, was dominated by Proteobacteria (34.04%), Firmicutes (24.96%), and Chloroflexi (20.52%). Chloroflexi constituted the majority of the bacteria community on the pool floor (91.09%), while on the pool walls, Chloroflexi (45.17%) and Proteobacteria (44.02%) dominated almost equally. Metabolic pathway analysis further confirmed the activity of MIC in biofilm by the presence of MIC-related pathways. These findings contribute novel insights into the microbial composition of biofilms in SNF storage ponds, providing a foundation for future studies on the prevention and management of MIC in such facilities.

Keywords

Biofilm, Microbial Influenced Corrosion, NGS, QIIME2