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Synthetic genetic array (SGA) has been successfully used to identify genetic interactions in  S .  cerevisiae  and  S .  pombe . In  S .  pombe , SGA methods use either cycloheximide ( C ) or heat shock ( HS ) to select double mutants before measuring colony size as a surrogate for fitness. Quantitative Fitness Analysis (QFA) is a different method for determining fitness of microbial strains. In QFA, liquid cultures are spotted onto solid agar and growth curves determined for each spot by photography and model fitting. Here, we compared the two  S .  pombe  SGA methods and found that the  HS  method was more reproducible for us. We also developed a QFA procedure for  S .  pombe . We used QFA to identify genetic interactions affecting two temperature sensitive, telomere associated query mutations ( taz1Δ  and  pot1-1 ). We identify  exo1∆  and other gene deletions as suppressors or enhancers of  S .  pombe  telomere defects. Our study identifies known and novel gene deletions affecting the fitness of strains with telomere defects. The interactions we identify may be relevant in human cells.

Quantitative Fitness Analysis Identifies exo1∆ and Other Suppressors or Enhancers of Telomere Defects in Schizosaccharomyces pombe