Measuring epistasis in fitness landscapes: the correlation of fitness effects of mutations

DOI10.1016/j.jtbi.2016.01.037zbMath1343.92341OpenAlexW2950940317MaRDI QIDQ306782

Guillaume Achaz, Yutaka Kobayashi, Benjamin Schmiegelt, Fumio Tajima, Atsushi Yamauchi, Luca Ferretti, Daniel M. Weinreich

Publication date: 1 September 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1101/042010

zbMATH Keywords

epistasismutationsfitnessruggedness

Mathematics Subject Classification ID

General biostatistics (92B15) Problems related to evolution (92D15) Genetics and epigenetics (92D10)

Related Items (5)

The average abundance function with mutation of the multi-player snowdrift evolutionary game model ⋮ Universality classes of interaction structures for NK fitness landscapes ⋮ Spatial-domain fitness landscape analysis for combinatorial optimization ⋮ Adaptive walks on high-dimensional fitness landscapes and seascapes with distance-dependent statistics ⋮ Virus-immune dynamics determined by prey-predator interaction network and epistasis in viral fitness landscape

Uses Software

• MAGELLAN

Cites Work

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• The number of accessible paths in the hypercube
• Landscapes and their correlation functions
• A simple stochastic gene substitution model
• Evolutionary accessibility of modular fitness landscapes
• On the existence of accessible paths in various models of fitness landscapes
• Exact results for amplitude spectra of fitness landscapes
• A simple model for the balance between selection and mutation
• Optimal adaptive performance and delocalization in NK fitness landscapes

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