Abstract
Molecular Evolution A fitness landscape of a gene defines the molecular potential of evolution. This can help us understand the current state of evolution as well as predict unrealized potential. Using deep sequencing to examine mutations in nonessential genes that affect the growth of yeast strains, two studies have generated fitness landscapes and measured the effect of epistatic interactions (see the Perspective by He and Liu). Li et al. generated a library of mutants in a transfer RNA gene, including all single and many double and multiple mutants. The RNA secondary structure was generally predictive of bases under selection. Similarly, Puchta et al. assessed a small nucleolar RNA gene for the fitness effects of individual mutations, which correlated with evolutionary conservation and structural stability. Both studies suggest that epistasis—the combined functional effect—for double substitutions is more often negative than positive. Science , this issue pp. [837][1] and [840][2]; see also p. [769][3] [1]: /lookup/doi/10.1126/science.aae0568 [2]: /lookup/doi/10.1126/science.aaf0965 [3]: /lookup/doi/10.1126/science.aaf7543
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