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Utilising Synthetic Biology to Produce Renewable Energy from Indonesia’s Biodiversity: Inspiration from iGEM Competition Kemal, Rahmat Azhari; Rini, Ika Agus; Oktaviani, Indah
Proceeding International Conference on Global Resource Conservation Vol 6, No 1: Proceeding of 6th ICGRC 2015
Publisher : Proceeding International Conference on Global Resource Conservation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.209 KB)

Abstract

The emerging field of synthetic biology focuses on engineering biomolecular systems and cellular capabilities. It can be applied to a wide variety of applications, one of them is renewable energy production. Teams competing in the International Genetically Engineered Machine (iGEM) competition design and assemble biological devices able to do certain purposes such as producing renewable energy. Their ideas can be adapted by using compatible organisms available from Indonesia’s rich biodiversity. Several ideas are highlighted in this review. One of them is the idea of recycling methanol in glycogen that can be used as carbon source for biofuel production. Methanol dehydrogenase from Indonesia’s methylotrophic bacteria can substitute Bacillus methanolycus used in the system. The adapted ideas can serve as starting points for research, production, and implementation of renewable energy in Indonesia.Keywords: Biodiversity; iGEM; Indonesia; renewable energy; synthetic biology
DNA Barcoding for Selected Mangrove-Based Estuary Fishes from Way Kambas National Park, Lampung Province, Indonesia Ariyanti, Yanti; Rini, Ika Agus; Oktaviani, Indah; Leksikowati, Sovia Santi
Journal of Tropical Life Science Vol 11, No 2 (2021)
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jtls.11.02.04

Abstract

Over the past decade, DNA barcoding has provided new insight into fish ecology and biosystematics and led to new species' discovery. DNA barcoding is a method for the recognition and identification of species using short, standardised DNA fragments. The correct taxonomic identification of species is critical for the assessment and monitoring of biodiversity. This study applied DNA barcoding techniques to identify selected fish species from a mangrove-based estuary in Way Kambas National Park, Lampung Province, Indonesia. The gene encoding cytochrome c oxidase subunit I (COI) was amplified and bi-directionally sequenced from 22 specimens. The resulting 680 base pairs (bp) sequence was used to identify species, obtain phylogenetic information, and analyse genetic distances. A neighbour-joining tree was constructed based on the mitochondrial COI gene using the Kimura two-parameter model. This study also exhibits conservation status for those identified species. Our findings will facilitate future studies of fish species diversity in mangrove estuary-based ecosystems and provide preliminary data in policymaking in conservation areas such as National Park.
Bioinformatics study of the A222V substitution in SARS-CoV-2 Spike Protein Ariesaka, Kiky Martha; Nuryady, Moh Mirza; Rini, Ika Agus
Sains Medika: Jurnal Kedokteran dan Kesehatan Vol 16, No 2 (2025): December 2025
Publisher : Faculty of Medicine, Universitas Islam Sultan Agung (UNISSULA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/sainsmed.v16i2.39242

Abstract

COVID-19, caused by SARS-CoV-2, has infected over 200 million people and caused 4.3 million deaths globally, with over 3.7 million cases and 110,000 deaths in Indonesia. SARS-CoV-2, a single-stranded RNA virus, has a genome encoding proteins such as Spike (S), Envelope (E), Membrane (M), and Nucleocapsid (N). The S protein, comprising S1 and S2 domains, facilitates ACE2 receptor binding and membrane fusion. This study examines the phylogenetic relationship of the A222V substitution in the S protein with various global isolates. We collected 25 complete SARS-CoV-2 sequences from the GISAID database, performed multiple sequence alignments using Clustal W in MEGA-X software, and constructed phylogenetic trees using the neighbor-joining method. The urgency of this paper lies in understanding the impact of the A222V mutation on the virus's infectivity and spread, which is crucial for developing targeted treatments and vaccines. The A222V variant, first identified in Spain in summer 2020, has spread rapidly across Europe, raising concerns about its potential to increase transmissibility or affect vaccine efficacy. The A222V variant likely affects protein conformation or stability rather than receptor binding or membrane fusion. Understanding these changes is essential as it can influence the virus's behavior and efficacy of public health interventions. The study found high mutation rates in the S gene with diverse point mutations. Phylogenetic analysis revealed that A222V isolates clustered closely with D614G variants. In conclusion, not all mutations result in amino acid changes, and A222V has minimal impact on ACE2 binding but may influence protein stability.