DETEKSI BACTERIAL KEY SPECIES PADA HUTAN SEKUNDER DAN LAHAN BEKAS TERBAKAR: SEBAGAI UPAYA PENENTUAN BARKODE DNA

Abstract

Peatlands are the result of the decomposition of organic matter under anaerobic conditions that naturally accumulated over hundreds of years. A massive conversion of land function can lead to peatland degradation which has an impact on the degradation of the peatland quality. Currently, more sensitive indicators are needed to detect the initial disturbance of peatland degradation. This study aimed to determine the bacterial key species (BKS) in secondary forest areas and burnt areas which can then be used as DNA barcodes to monitor the quality of peatlands. DNA barcodes were obtained by determining BKS with the criteria of finding BKS that were only found in secondary forest and not found in locations that had been converted. This study used 16S rRNA gene sequence data generated from sequencing with the next generation sequencing (NGS) method. This research method included processing FastQ into fasta format using the Galaxy program, construction of phylogenetic trees using the MEGA program version 6.06, determining BKS candidates based on phylogenetic tree construction, selection of BKS candidates using BLASTn analysis: Align Two or More Sequence, alignment and editing of candidate DNAbarcode determination, primer design and in silico PCR analysis using the FastPCR application. The results of this study showed that 3 BKS were successfully detected which were only found in secondary forest locations but not found on burnt land (BKS_SLT). There are 2 candidates for the DNA barcode on BKS_SLT, namely the BKS_SLT2 barcode with 6 primers and the BKS_SLT3 barcode with 8 primers. The primers chosen were primers that had been tested for their sensitivity through in silico PCR.