OPTIMASI METODE PCR DAN ANALISIS FILOGENETIK BERDASARKAN GEN 16S rRNA BAKTERI PENYEBAB PENYAKIT BUSUK LUNAK ANGGREK

Soft rot is one of the most important diseases of orchids caused by bacterial pathogens. Bacterial soft rots can be identified by alot of methods. One of the most prominent bacterial pathogens identification methods is nucleotide analysis based on 16S rRNA gene sequence. Optimization of PCR techniqu...

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Bibliographic Details
Main Authors: , RR NANDA KUSUMANDARI, , Dr. Tri Joko, S.P., M.Sc.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:
ETD
Description
Summary:Soft rot is one of the most important diseases of orchids caused by bacterial pathogens. Bacterial soft rots can be identified by alot of methods. One of the most prominent bacterial pathogens identification methods is nucleotide analysis based on 16S rRNA gene sequence. Optimization of PCR technique to amplify 16S rRNA gene is essential for time and material effieciency, that will make identification to be rapid and more appropriate. The purposes of this study were to (1) decide concentration of DNA and primer, and also concentration of bacterial pure cultures and primer to amplify clear 16S rRNA gene fragment and (2) identify bacterial soft rot of orchid based on 16S rRNA gene sequence. Optimization of PCR was done by using variations of DNA, pure cultures of bacteria, and primer to amplify the 16S rRNA gene sequence. Identification of orchids bacterial soft rot was conducted using nucleotide analysis by BLAST programme at web NCBI to know similarities coevicient between isolates and reference strains in gene bank. The result showed that the most optimal concentration to amplify 16S rRNA gene sequence at DNA and primer concentration were 63,4 ng/μl and 10 pmol, also pure cultures and primer concentration were 8 x 109 CFU/ml dan 10 pmol. Based on BLAST analysis at the gene bank, the bacterial soft rot of orchids have similarities 99-100% with several genera of bacteria such as Citrobacter, Enterobacter, Klebsiella, Pectobacterium, Providencia, and Pseudomonas.