Mountain Ridges on Adaptive Landscapes and the Predictability of Evolution

Oikos ◽  
1999 ◽  
Vol 85 (1) ◽  
pp. 79
Author(s):  
Alexander E. Vinogradov
Keyword(s):  
Adaptive Landscapes

Adaptive landscapes challenge the “lateral-to-sagittal” paradigm for mammalian vertebral evolution

2021 ◽  
Author(s):  
Katrina E. Jones ◽  
Blake V. Dickson ◽  
Kenneth D. Angielczyk ◽  
Stephanie E. Pierce
Keyword(s):  
Adaptive Landscapes

scholarly journals Fitness-associated recombination on rugged adaptive landscapes

2003 ◽  
Vol 16 (5) ◽  
pp. 862-870 ◽  
Author(s):  
L. Hadany ◽  
T. Beker
Keyword(s):  
Adaptive Landscapes

scholarly journals The geographic mosaic of coevolution in mutualistic networks

2018 ◽  
Vol 115 (47) ◽  
pp. 12017-12022 ◽  
Author(s):  
Lucas P. Medeiros ◽  
Guilherme Garcia ◽  
John N. Thompson ◽  
Paulo R. Guimarães
Keyword(s):  
Gene Flow ◽  
Species Interactions ◽  
Analytical Approximation ◽  
Spatial Processes ◽  
Geographic Mosaic ◽  
Generalist Species ◽  
Interacting Species ◽  
Adaptive Landscapes ◽  
Surprising Effect ◽  
Mutualistic Networks

Ecological interactions shape adaptations through coevolution not only between pairs of species but also through entire multispecies assemblages. Local coevolution can then be further altered through spatial processes that have been formally partitioned in the geographic mosaic theory of coevolution. A major current challenge is to understand the spatial patterns of coadaptation that emerge across ecosystems through the interplay between gene flow and selection in networks of interacting species. Here, we combine a coevolutionary model, network theory, and empirical information on species interactions to investigate how gene flow and geographical variation in selection affect trait patterns in mutualistic networks. We show that gene flow has the surprising effect of favoring trait matching, especially among generalist species in species-rich networks typical of pollination and seed dispersal interactions. Using an analytical approximation of our model, we demonstrate that gene flow promotes trait matching by making the adaptive landscapes of different species more similar to each other. We use this result to show that the progressive loss of gene flow associated with habitat fragmentation may undermine coadaptation in mutualisms. Our results therefore provide predictions of how spatial processes shape the evolution of species-rich interactions and how the widespread fragmentation of natural landscapes may modify the coevolutionary process.

scholarly journals Chikungunya virus emergence is constrained in Asia by lineage-specific adaptive landscapes

2011 ◽  
Vol 108 (19) ◽  
pp. 7872-7877 ◽  
Author(s):  
K. A. Tsetsarkin ◽  
R. Chen ◽  
G. Leal ◽  
N. Forrester ◽  
S. Higgs ◽  
...  
Keyword(s):  
Chikungunya Virus ◽  
Adaptive Landscapes ◽  
Virus Emergence

scholarly journals Who are We, and Who (or What) Do We Want to Become? An Evolutionary Perspective on Biotransformative Technologies

2021 ◽  
Author(s):  
James Lyons-Weiler
Keyword(s):  
Human Evolution ◽  
Adaptive Landscape ◽  
Endogenous Factors ◽  
Theoretical Contribution ◽  
Organic Evolution ◽  
Adaptive Landscapes ◽  
Augmented Cognition ◽  
Language Writing ◽  
Cognitive Plasticity ◽  
The Impact

AbstractHuman evolution sits at several important thresholds. In organic evolution, interplay between exogenous environmental and genetic factors rendered new phenotypes at rates limited by genetic variation. The interplay took place on adaptive fitness landscapes determined by correspondence of genetic and environmental relationships. Human evolution involved important emergences that altered the adaptive landscape: language, writing, organized societies, science, and the internet. These endogenous factors ushered in transformative periods leading to more rapidly evolving emergences. I explore the impact of development of emerging biotransformative technologies capable of being applied to effect self-genetic modification and artificial intelligence-augmented cognition on the evolutionary landscape of phenotypes important to cognitive plasticity. Interaction effects will yield unanticipated emergences resulting in hyperrealm adaptive landscapes with more rapid evolutionary processes that feed back upon more fundamental levels while vastly outpacing organic evolution. Emerging technologies exist that are likely to impact the evolution of cognitive plasticity in humans in ways and at rates that will lead to societal upheaval. I show that the theoretical contribution of organic evolution in future human evolution is expected to become comparatively insignificant relative to that made by endogenous environmental factors such as external cognition aids and manipulation of the human genome. The results support the conclusion of a strong recommendation of a moratorium on the adoption of any technology capable of completely altering the course of human evolution.

scholarly journals Emergent speciation by multiple Dobzhansky-Muller incompatibilities

2014 ◽  
Author(s):  
Tiago Paixão ◽  
Kevin E. Bassler ◽  
Ricardo B. R. Azevedo
Keyword(s):  
Gene Flow ◽  
Reproductive Isolation ◽  
Network Model ◽  
Neutral Network ◽  
Collective Effects ◽  
Neutral Networks ◽  
Adaptive Landscapes ◽  
Complex Interactions ◽  
Or Gene

The Dobzhansky-Muller model posits that incompatibilities between alleles at different loci cause speciation. However, it is known that if the alleles involved in a Dobzhansky-Muller incompatibility (DMI) between two loci are neutral, the resulting reproductive isolation cannot be maintained in the presence of either mutation or gene flow. Here we show that speciation can emerge through the collective effects of multiple neutral DMIs that cannot, individually, cause speciation-a mechanism we call emergent speciation. We investigate emergent speciation using models of haploid holey adaptive landscapes-neutral networks-with recombination. We find that certain combinations of multiple neutral DMIs can lead to speciation. Furthermore, emergent speciation is a robust mechanism that can occur in the presence of migration, and of deviations from the assumptions of the neutral network model. Strong recombination and complex interactions between the DMI loci facilitate emergent speciation. These conditions are likely to occur in nature. We conclude that the interaction between DMIs may cause speciation.

scholarly journals Peak shifts and extinction under sex-specific selection

2021 ◽  
Author(s):  
Stephen P. De Lisle
Keyword(s):  
Sexual Selection ◽  
Sexual Dimorphism ◽  
Peak Shift ◽  
Adaptive Landscape ◽  
Population Estimates ◽  
Sexual Antagonism ◽  
Adaptive Landscapes ◽  
Quantitative Genetic ◽  
Complex Adaptive ◽  
The Face

AbstractA well-known property of sexual selection combined with a cross sex genetic correlation (rmf), is that it can facilitate a peak shift on the adaptive landscape. How do these diversifying effects of sexual selection +rmf balance with the constraints imposed by such sexual antagonism, to affect macroevolution of sexual dimorphism? Here, I extend existing quantitative genetic models of evolution on complex adaptive landscapes. Beyond recovering classical predictions for the conditions promoting a peak shift, I show that when rmf is moderate to strong, relatively weak sexual selection is required to induce a peak shift in males only. Increasing the strength of sexual leads to a sexually-concordant peak shift, suggesting that macroevolutionary rates of sexual dimorphism may be largely decoupled from the strength of within-population sexual selection. Accounting explicitly for demography further reveals that sex-specific peak shifts may be more likely to be successful than concordant shifts in the face of extinction, especially when natural selection is strong. An overarching conclusion is that macroevolutionary patterns of sexual dimorphism are unlikely to be readily explained by within-population estimates of selection or constraint alone.

scholarly journals Adaptive Landscapes in the Age of Synthetic Biology

2019 ◽  
Vol 36 (5) ◽  
pp. 890-907 ◽  
Author(s):  
Xiao Yi ◽  
Antony M Dean
Keyword(s):  
Synthetic Biology ◽  
Adaptive Landscapes
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