Idiosyncratic epistasis leads to global fitness–correlated trends

Author:

Bakerlee Christopher W.123ORCID,Nguyen Ba Alex N.1245ORCID,Shulgina Yekaterina3ORCID,Rojas Echenique Jose I.16ORCID,Desai Michael M.1278ORCID

Affiliation:

1. Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.

2. Quantitative Biology Initiative, Harvard University, Cambridge, MA, USA.

3. Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.

4. Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada.

5. Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada.

6. Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.

7. NSF-Simons Center for Mathematical and Statistical Analysis of Biology, Harvard University, Cambridge, MA, USA.

8. Department of Physics, Harvard University, Cambridge, MA, USA.

Abstract

Epistasis can markedly affect evolutionary trajectories. In recent decades, protein-level fitness landscapes have revealed extensive idiosyncratic epistasis among specific mutations. By contrast, other work has found ubiquitous and apparently nonspecific patterns of global diminishing-returns and increasing-costs epistasis among mutations across the genome. Here, we used a hierarchical CRISPR gene drive system to construct all combinations of 10 missense mutations from across the genome in budding yeast and measured their fitness in six environments. We show that the resulting fitness landscapes exhibit global fitness–correlated trends but that these trends emerge from specific idiosyncratic interactions. We thus provide experimental validation of recent theoretical work arguing that fitness-correlated trends can emerge as the generic consequence of idiosyncratic epistasis.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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