Fitness seascape
A fitness seascape is an extension of the classical fitness-landscape framework in evolutionary biology in which the mapping between genotype and fitness changes over time or across environments. Unlike static landscapes, fitness seascapes describe adaptive surfaces whose peaks and valleys shift as selection pressures vary, producing time-dependent evolutionary trajectories.[1]
Fitness seascapes have been used to study evolution under fluctuating ecological and pharmacologic conditions, including drug cycling, immune-driven selection, and changing environmental stress.[2] Experimental and theoretical work has shown that explicitly modeling time-varying selection can improve prediction of adaptive outcomes in microbial and cancer systems.[3]
The seascape framework has also been formalized mathematically in statistical-physics models that analyze adaptive flux, peak movement, and non-equilibrium dynamics in evolving populations.[4]
See also
References
- ^ Mustonen, V; Lässig, M (2007). "From fitness landscapes to fitness seascapes: non-equilibrium dynamics of selection and adaptation". Trends in Genetics. 23 (10): 547–554. doi:10.1016/j.tig.2007.08.003. PMID 17822800.
- ^ Das, S. G.; Direito, S. O. L.; Waclaw, B.; Allen, R. J.; Krug, J. (2020). "Predictable properties of fitness landscapes induced by adaptational tradeoffs". eLife. 9 e55155. doi:10.7554/eLife.55155. PMC 7163954. PMID 32252898.
- ^ King, E.S.; Scott, J.G. (2025). "Fitness seascapes are necessary for realistic modeling of the evolutionary response to drug therapy". Science Advances. 11 (24) eadv1268. Bibcode:2025SciA...11.1268K. doi:10.1126/sciadv.adv1268. PMC 12153978.
- ^ Mustonen, V; Lässig, M (2010). "Fitness flux and ubiquity of adaptive evolution". Proceedings of the National Academy of Sciences of the United States of America. 107 (24): 10165–10170. Bibcode:2010PNAS..107.4248M. doi:10.1073/pnas.0907953107. PMC 2840135. PMID 20145113.
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