Trends in Genetics
ReviewCan Population Genetics Adapt to Rapid Evolution?
Section snippets
The Standard Model of Population Genetics
Charles Darwin thought of evolution as an innately slow process driven by small incremental changes that lead to noticeable differences between species only because they can accumulate over long periods of time. This view still runs deep in modern population genetics. We tend to assume that selective sweeps are rare in most natural populations and that most common genetic variation remains largely unaffected by such events. Catching a beneficial mutation on the fly should be extremely unlikely.
Examples of Rapid Phenotypic Evolution in Nature and Experiment
Studies of ‘evolution in action’ paint a markedly different picture from the paradigm of slow molecular evolution commonly adopted in our population genetic models. These studies show that phenotypic traits can often change dramatically over the course of just a few generations. Peter and Rosemary Grant's classic studies of rapid evolution in Darwin's finches 9, 10, 11 are well known by both scientists and non-scientists, but many other studies have now demonstrated rapid change in heritable
Examples of Rapid Molecular Evolution at Individual Loci
Important additional clues are provided by sequencing studies that increasingly allow us to dissect the genomic basis of phenotypic evolution. Such studies have revealed many examples of rapid phenotypic adaptation that were associated with extensive allele-frequency changes at individual genetic loci. One prominent example is the adaptation of marine sticklebacks to freshwater environments, which is driven by only a small set of genomic loci [37] yet has occurred repeatedly over just 50
Are Short-Term and Long-Term Evolutionary Rates Different?
If rapid phenotypic evolution is indeed common in nature and often associated with extensive frequency changes of molecular variants at many loci, why do we not observe higher levels of molecular divergence between extant species? A possible explanation is that selection may not always be as static as assumed by the standard model. If a considerable fraction of genetic variants has selection coefficients that vary in sign over space and time, being advantageous at some times and locations and
Population Genetics Might Be Underestimating the Role of Temporally Fluctuating Selection
While it is widely acknowledged that spatially varying selection can play an important role in the dynamics and maintenance of molecular variation [64], population genetics has remained rather skeptical regarding the significance of temporally fluctuating selection. This view traces back to theoretical arguments showing that, in standard models with non-overlapping generations, temporally fluctuating selection cannot maintain a polymorphism unless the heterozygote has higher geometric mean
Population Genetics Beyond the Standard Model
In the standard model we tend to assume that the selection coefficients of mutations remain constant over time and space. If instead selection coefficients often vary, evolutionary dynamics could be quite different. In this case, selection could play a much more important role among the processes that cause alleles to change in frequency over time. Classic selective sweeps, however, would remain rare, as alleles would usually not be driven all the way to fixation or loss. Instead, we should
Population Genetics Should Embrace Rapid Evolution
The appeal of modern population genetics stems in no small part from the elegance and simplicity of its underlying theoretical models. These models were largely devised in times when data were limited to measurements of molecular divergences between species and rough estimates of the genetic diversity within populations. Kimura's neutral theory of molecular evolution [97] provided a convincing explanation for the patterns in these data that did not require processes more complicated than random
Concluding Remarks
With genome sequencing becoming easier and cheaper, we have the opportunity to directly observe the essence of evolution: how allele frequencies change over time within a population, as in Figure 4B. With such data we can finally test the key assumptions of our population genetic models and study the processes that govern the patterns and dynamics of genetic variation in populations (see Outstanding Questions).
Key to achieving this goal will be extensive population sampling across time and
Acknowledgments
The authors thank Alan Bergland, Dmitri Petrov, and two anonymous reviewers for critically reading the manuscript and providing valuable feedback. They also thank Andrew Hendry for sharing the data compilation used in Figure 3. N.G.H. and S.P.E. were supported by NSF grant DEB-1256719. S.P.E. was also supported by NSF DEB-1353039.
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