Analysis of statistical correlations between properties of adaptive walks in fitness landscapes
The fitness landscape metaphor has been central in our way of thinking about adaptation. In this scenario, adaptive walks are idealized dynamics that mimic the uphill movement of an evolving population towards a fitness peak of the landscape. Recent works in experimental evolution have demonstrated...
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| Format: | Article |
| Language: | English |
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The Royal Society
2020-01-01
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| Series: | Royal Society Open Science |
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| Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.192118 |
| _version_ | 1819037677320667136 |
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| author | Sandro M. Reia Paulo R. A. Campos |
| author_facet | Sandro M. Reia Paulo R. A. Campos |
| author_sort | Sandro M. Reia |
| collection | DOAJ |
| description | The fitness landscape metaphor has been central in our way of thinking about adaptation. In this scenario, adaptive walks are idealized dynamics that mimic the uphill movement of an evolving population towards a fitness peak of the landscape. Recent works in experimental evolution have demonstrated that the constraints imposed by epistasis are responsible for reducing the number of accessible mutational pathways towards fitness peaks. Here, we exhaustively analyse the statistical properties of adaptive walks for two empirical fitness landscapes and theoretical NK landscapes. Some general conclusions can be drawn from our simulation study. Regardless of the dynamics, we observe that the shortest paths are more regularly used. Although the accessibility of a given fitness peak is reasonably correlated to the number of monotonic pathways towards it, the two quantities are not exactly proportional. A negative correlation between predictability and mean path divergence is established, and so the decrease of the number of effective mutational pathways ensures the convergence of the attraction basin of fitness peaks. On the other hand, other features are not conserved among fitness landscapes, such as the relationship between accessibility and predictability. |
| first_indexed | 2024-12-21T08:25:13Z |
| format | Article |
| id | doaj.art-59b259c2993a4ab2901e4703d02a7fd2 |
| institution | Directory Open Access Journal |
| issn | 2054-5703 |
| language | English |
| last_indexed | 2024-12-21T08:25:13Z |
| publishDate | 2020-01-01 |
| publisher | The Royal Society |
| record_format | Article |
| series | Royal Society Open Science |
| spelling | doaj.art-59b259c2993a4ab2901e4703d02a7fd22022-12-21T19:10:21ZengThe Royal SocietyRoyal Society Open Science2054-57032020-01-017110.1098/rsos.192118192118Analysis of statistical correlations between properties of adaptive walks in fitness landscapesSandro M. ReiaPaulo R. A. CamposThe fitness landscape metaphor has been central in our way of thinking about adaptation. In this scenario, adaptive walks are idealized dynamics that mimic the uphill movement of an evolving population towards a fitness peak of the landscape. Recent works in experimental evolution have demonstrated that the constraints imposed by epistasis are responsible for reducing the number of accessible mutational pathways towards fitness peaks. Here, we exhaustively analyse the statistical properties of adaptive walks for two empirical fitness landscapes and theoretical NK landscapes. Some general conclusions can be drawn from our simulation study. Regardless of the dynamics, we observe that the shortest paths are more regularly used. Although the accessibility of a given fitness peak is reasonably correlated to the number of monotonic pathways towards it, the two quantities are not exactly proportional. A negative correlation between predictability and mean path divergence is established, and so the decrease of the number of effective mutational pathways ensures the convergence of the attraction basin of fitness peaks. On the other hand, other features are not conserved among fitness landscapes, such as the relationship between accessibility and predictability.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.192118evolutionary dynamicsfitness landscapes and complex systems |
| spellingShingle | Sandro M. Reia Paulo R. A. Campos Analysis of statistical correlations between properties of adaptive walks in fitness landscapes Royal Society Open Science evolutionary dynamics fitness landscapes and complex systems |
| title | Analysis of statistical correlations between properties of adaptive walks in fitness landscapes |
| title_full | Analysis of statistical correlations between properties of adaptive walks in fitness landscapes |
| title_fullStr | Analysis of statistical correlations between properties of adaptive walks in fitness landscapes |
| title_full_unstemmed | Analysis of statistical correlations between properties of adaptive walks in fitness landscapes |
| title_short | Analysis of statistical correlations between properties of adaptive walks in fitness landscapes |
| title_sort | analysis of statistical correlations between properties of adaptive walks in fitness landscapes |
| topic | evolutionary dynamics fitness landscapes and complex systems |
| url | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.192118 |
| work_keys_str_mv | AT sandromreia analysisofstatisticalcorrelationsbetweenpropertiesofadaptivewalksinfitnesslandscapes AT pauloracampos analysisofstatisticalcorrelationsbetweenpropertiesofadaptivewalksinfitnesslandscapes |