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16S rRNA Gen Analysis of Plastic Destruction Bacteries, South Sumatra, Indonesia

Journal of Ecological Engineering 2024 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jeni Meiyerani, Melki Melki, Riris Aryawati, Rozirwan Rozirwan, Ellis Nurjuliasti Ningsih, Tuah Nanda Merlia Wulandari, Redho Yoga Nugroho

Summary

Researchers used 16S rRNA gene analysis with universal PCR primers to identify and characterize plastic-degrading bacteria isolated from the Musi River Estuary in South Sumatra, Indonesia, focusing on strains capable of degrading film, fiber, and fragment microplastic types.

Study Type Environmental

Rivers are the main route for plastic entering the ocean, including the Musi River Estuary. Characteristics of bacteria that are able to degrade plastic waste through polymerase enzymes. The aim of this research is to determine the ability of bacterial isolates to degrade plastic and identify the types of bacteria that degrade plastic waste. This research uses plastics identified as microplastic types, namely films, fibers and fragments. Identification analysis of the 16S rRNA gene using universal PCR primers for bacteria in the form of forward primer 63f (5'-CAG GCC TAA CAC ATG CAA GTC-3') and reverse primer 1387r (5'-GGG CGG WGT GTA CAA GGC-3'). The type of bacteria with the highest percentage of degradation over 20 days, amounting to 7.75%, was Bacillus amyloliquefaciens. Identification of types of plastic degrading bacteria using 16S rRNA gene analysis showed 11 bacteria with 8 types including Staphylococcus hominis, Pseudomonas aeruginosa, Acinetobacter sp., Acinetobacter baumannii, Acinetobacter variabilis, Shewanella sp., Micrococcus luteus, and Bacillus amyloliquefaciens. The percentage of plastic degradation by bacteria is relatively small, so it is best to look for times where there is potential for bacterial growth.

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