Yijia Guo, Hengrui Hu, Han Xiao, Xi Wang, Xiquan Ke, Jiang Li, Manli Wang* and Zhihong Hu*,
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Genome-Wide Simplification of the AcMNPV Genome Using Synthetic Biology
Large-scale genome simplification represents a fundamental goal in synthetic biology. Baculoviruses, with their biphasic life cycle and inherent genomic plasticity, have emerged as ideal models for synthetic genome engineering. Although modified baculovirus genomes are widely used as expression vectors for robust recombinant protein production, many genomic regions are dispensable for in vitro budded virus (BV) production. In this study, guided by the synthetic biology “design-build-test-learn” framework, we systematically reduced the genome of the Autographa californica multiple nucleopolyhedrovirus (AcMNPV) and obtained synthetic viruses capable of producing BVs. Building upon our previous work on whole-genome synthesis and partial genome reduction, we developed a strategy to rescue viruses by cotransfecting linearized genome fragments into host cells, thereby accelerating the iterative evaluation of genomic deletions. A total of 35 reduced genomes of varying sizes were synthesized, and the titers of the corresponding rescued viruses were measured. The most reduced functional genome, AcMNPV-Syn-mini, corresponds to the deletion of approximately 28 kb encompassing 39 nonessential genes. We analyze and discuss the gene organization and characteristics of this minimized genome. Our findings provide a foundation for the development of high-capacity baculoviral vectors and contribute to a deeper understanding of baculovirus functional genomics.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.