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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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Synthetic lethality and the minimal genome size problem.

Sara Rahiminejad1, Bianca De Sanctis2,3, Pavel Pevzner4

  • 1Department of Bioengineering, University of California-San Diego, La Jolla, California, USA.

Msphere
|June 21, 2024
PubMed
Summary

Estimating the minimal gene set for cell survival requires considering synthetic lethality. Graph theory analysis of yeast gene deletion data suggests a much larger minimal genome than previously thought, contrasting with experimental findings.

Keywords:
bacteriaminimal gene setminimal genome sizesynthetic lethalityyeast

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Area of Science:

  • Systems biology
  • Genomics
  • Computational biology

Background:

  • Single-gene knockout studies provide an initial estimate of essential genes (~300 in bacteria, ~1,100 in yeast).
  • These studies overlook synthetic lethality, where combined gene deletions are lethal, underestimating the minimal gene set size.
  • Understanding negative genetic interactions is crucial for defining a viable minimal genome.

Purpose of the Study:

  • To estimate the size of the minimal gene set in yeast (*Saccharomyces cerevisiae*) by incorporating synthetic lethality data.
  • To apply graph theory to model gene essentiality and lethality interactions.
  • To reconcile theoretical estimates with experimental genome reduction studies.

Main Methods:

  • Modeled the problem of finding the minimal gene set as a minimum vertex cover problem on a lethality graph.
  • Utilized the Lovász-Johnson-Chvatal greedy approximation algorithm on experimentally determined synthetic-lethal gene pairs (2-tuples).
  • Simulated and extrapolated genetic interactions for gene triplets (3-tuples) to refine estimates.

Main Results:

  • The minimum vertex cover for synthetic-lethal gene pairs in yeast was calculated to be 1,723 genes.
  • Estimates for minimal gene set size rapidly approach the full genome size when considering synthetic lethalities involving small numbers of genes (k-tuples).
  • A significant discrepancy exists between these theoretical estimates and experimental studies that successfully deleted hundreds of genes without synthetic lethality.

Conclusions:

  • Synthetic lethality significantly expands the estimated size of a minimal viable yeast genome.
  • The rapid increase in estimated minimal gene set size highlights the complexity of genetic interactions.
  • Further investigation is needed to explain the contrast between theoretical models and experimental genome reduction successes.