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Improving Chromosome Synthesis with a Semiquantitative Phenotypic Assay and Refined Assembly Strategy
- Source :
- ACS Synthetic Biology. 8:2203-2211
- Publication Year :
- 2019
- Publisher :
- American Chemical Society (ACS), 2019.
-
Abstract
- Recent advances in DNA synthesis technology have made it possible to rewrite the entire genome of an organism. The major hurdles in this process are efficiently identifying and fixing the defect-inducing sequences (or "bugs") during rewriting. Here, we describe a high-throughput, semiquantitative phenotype assay for evaluating the fitness of synthetic yeast and identifying potential bugs. Growth curves were measured under a carefully chosen set of testing conditions. Statistical analysis revealed strains with subtle defects relative to the wild type, which were targeted for debugging. The effectiveness of the assay was demonstrated by phenotypic profiling of all intermediate synthetic strains of the synthetic yeast chromosome XII. Subsequently, the assay was applied during the process of constructing another synthetic chromosome. Furthermore, we designed an efficient chromosome assembly strategy that integrates iterative megachunk construction with CRISPR/Cas9-mediated assembly of synthetic segments. Together, the semiquantitative assay and refined assembly strategy could greatly facilitate synthetic genomics projects by improving efficiency during both debugging and construction.
- Subjects :
- 0106 biological sciences
Saccharomyces cerevisiae
Biomedical Engineering
Computational biology
01 natural sciences
Biochemistry, Genetics and Molecular Biology (miscellaneous)
Genome
03 medical and health sciences
Synthetic biology
010608 biotechnology
Organism
030304 developmental biology
0303 health sciences
DNA synthesis
biology
Phenotypic assay
Chromosome
Genomics
General Medicine
biology.organism_classification
Phenotype
ComputingMethodologies_PATTERNRECOGNITION
Synthetic Biology
CRISPR-Cas Systems
Chromosomes, Fungal
Genome, Fungal
Subjects
Details
- ISSN :
- 21615063
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- ACS Synthetic Biology
- Accession number :
- edsair.doi.dedup.....daa28c234cfad6cfa6e0e0618ef7c32d
- Full Text :
- https://doi.org/10.1021/acssynbio.8b00505