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Updated: Jun 6, 2025

Bacterial Artificial Chromosomes: A Functional Genomics Tool for the Study of Positive-strand RNA Viruses
Published on: December 29, 2015
Data storage based on the absence of nucleotides using a bacteriophage abortive infection system reverse
Gregor Bajc1, Anja Pavlin1, Małgorzata Figiel2
1Department of Biology, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia. matej.butala@bf.uni-lj.si.
Scientists developed a new DNA synthesis method using bacteriophage reverse transcriptase AbiK for efficient data storage. This enzyme enables user-defined DNA polymerization, paving the way for novel DNA data storage solutions.
Area of Science:
- Biotechnology
- Molecular Biology
- Bioinformatics
Background:
- DNA is a promising future data storage medium.
- Efficient de novo DNA synthesis for data storage is challenging.
- Enzymatic polymerization without multiple polymerase injections is needed.
Purpose of the Study:
- To demonstrate a novel method for de novo DNA synthesis using bacteriophage reverse transcriptase AbiK.
- To enable user-defined DNA polymerization for data storage applications.
- To encode information in synthetic DNA using nucleotide absence.
Main Methods:
- Utilized reverse transcriptase AbiK from Lactococcus lactis.
- Employed surface plasmon resonance for polymerization monitoring.
- Implemented sequential buffer exchange for user-defined DNA sequencing.
- Synthesized DNA with segments of random length using three nucleotides.
Main Results:
- Demonstrated successful synthesis of synthetic DNA with encoded information.
- Showcased DNA storage on a chip and subsequent release for second-strand synthesis and sequencing.
- Achieved a DNA writing speed of less than 1 second per nucleotide.
- Verified information encoding through the absence of one nucleotide in each segment.
Conclusions:
- Bacteriophage reverse transcriptase AbiK facilitates efficient de novo DNA synthesis for data storage.
- The developed method enables user-defined DNA polymerization and information encoding.
- This approach holds significant potential for advancing DNA-based data storage technologies.
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