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SCRaMbLE generates designed combinatorial stochastic diversity in synthetic chromosomes.

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Synthetic chromosome rearrangement and modification by evolution (SCRaMbLE) creates diverse yeast genomes. This method precisely engineers genomic diversity and identifies essential genes for viability and growth.

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Area of Science:

  • Synthetic biology
  • Genomics
  • Molecular biology

Background:

  • Combinatorial genomic diversity is crucial for evolutionary studies.
  • Precisely controlling genomic rearrangements is a challenge in synthetic biology.

Purpose of the Study:

  • To apply SCRaMbLE to a synthetic yeast chromosome arm (synIXR).
  • To computationally infer the sequence of recombination events.
  • To assess the capability of SCRaMbLE for generating genomic diversity and identifying fitness constraints.

Main Methods:

  • Application of SCRaMbLE to yeast synthetic chromosome arm synIXR with 43 recombinase sites.
  • Deep sequencing of resulting SCRaMbLE strains.
  • Computational pipeline for inferring recombination sequences.

Main Results:

  • Generated unique genomes with 156 deletions, 89 inversions, 94 duplications, and 55 complex rearrangements.
  • Rearrangements occurred exclusively at designed loxPsym sites.
  • Identified genes essential for viability and fast growth based on deletion frequencies.
  • Observed minimal fitness impact from 3' UTR replacement.

Conclusions:

  • SCRaMbLE effectively generates extensive and precise genomic diversity within designated regions.
  • The method can identify genes critical for cellular fitness.
  • SCRaMbLE is scalable for simultaneous evolution of multiple synthetic chromosomes.