Comparative analysis of genome code complexity and manufacturability with engineering benchmarks

When knowledge has advanced to a state that includes a predictive understanding of the relationship between genome sequence and organism phenotype it will be possible for future engineers to design and produce synthetic organisms. However, the possibility of synthetic biology does not necessarily gu...

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Bibliographic Details
Published in:Scientific reports 2022-02, Vol.12 (1), p.2808-9, Article 2808
Main Authors: Riolo, Joseph, Steckl, Andrew J.
Format: Article
Language:English
Subjects:
631/61
631/61/252
639/166
639/705/794
Bacteria - genetics
Base pairs
Benchmarking
Benchmarks
Comparative analysis
Genetic Engineering
Genome, Bacterial - genetics
Genome, Plant - genetics
Genomes
Humanities and Social Sciences
multidisciplinary
Nucleotide sequence
Phenotype
Phenotypes
Plants - genetics
Science
Science (multidisciplinary)
Software
Synthetic Biology
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Summary:When knowledge has advanced to a state that includes a predictive understanding of the relationship between genome sequence and organism phenotype it will be possible for future engineers to design and produce synthetic organisms. However, the possibility of synthetic biology does not necessarily guarantee its feasibility, in much the same way that the possibility of a brute force attack fails to ensure the timely breaking of robust encryption. The size and range of natural genomes, from a few million base pairs for bacteria to over 100 billion base pairs for some plants, suggests it is necessary to evaluate the practical limits of designing genomes of similar complexity. This analysis characterizes the complexity of natural genomes, compares them to existing engineering benchmarks, and shows that existing large software programs are on similar scale with the genome of complex natural organisms.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-06723-5