DYNAMIC POPULATION ANALYSIS OF MICROALGA WITH METABARCODING STUDY IN CONSORTIUM MICROALGA-BACTERIA ISOLATED FROM GLAGAH BEACH YOGYAKARTA USING NEXT GENERATION SEQUENCING (NGS) METHOD

The purpose of this study is to determine the type of microalgae in Glagah isolate culture, including the dynamics of microalga populations, and types of microalgae that were consistently present in each phase of growth. Microalgae are single-celled, primary photosynthetic microorganisms that can be found everywhere, prokaryotic and eukaryotic, which are taxonomically and phylogenetically diverse. Advanced plant life is now thought to have evolved from this simple microscopic plant-like organism entity. In general, microalgae are a heterogeneous group of polypyletic photosynthetic organisms with an estimated 350,000 known species.
Innovation in microalgae cells was an integral part of the process needed to produce biofuels from microalgae biomass because biofuels produced from microalgae cells were not toxic compared to fossil fuels. In microalgae cultivation, there were several isolates that can be used, one of which is Glagah isolate which will be used in this study. The high rate of growth that causes abundant biomass was possible for a mutually beneficial symbiosis between microalgae and other microorganisms. In many metagenomic and metabarcoding studies use the Next Generation Sequencing (NGS) method to obtain phylogenetic dynamics and population dynamics. Data analysis uses the QIIME2 pipeline that was accessed through Linux terminal. Eight types of microalgae were found in the Isolate Glagah consortium culture which was dominated by members of the Archaeplastida phylum. Archaeplastida phylum has the highest relative abundance in each phase of microalgae growth in sample T and sample A. Changes in the abundance of microalgae in each phase of growth shows that microalgae communities are dynamic depending on environmental conditions which in this case are influenced by bacterial growth.