Trends in Genetics
Volume 32, Issue 7, July 2016, Pages 408-418
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Review
Can Population Genetics Adapt to Rapid Evolution?

https://doi.org/10.1016/j.tig.2016.04.005Get rights and content

Trends

Studies of evolution in action show that phenotypic traits can often change dramatically over the course of just a few generations.

This differs markedly from the paradigm of slow molecular evolution commonly adopted in our population genetic models.

To assess whether our models are still appropriate, we need to better understand how rapid phenotypic evolution impacts the trajectories of genetic variation in a population.

New population genomic datasets will make it possible to directly observe how polymorphism frequencies change in a population over time, allowing us to test and refine our population genetic models.

Population genetics largely rests on a ‘standard model’ in which random genetic drift is the dominant force, selective sweeps occur infrequently, and deleterious mutations are purged from the population by purifying selection. Studies of phenotypic evolution in nature reveal a very different picture, with strong selection and rapid heritable trait changes being common. The time-rate scaling of phenotypic evolution suggests that selection on phenotypes is often fluctuating in direction, allowing phenotypes to respond rapidly to environmental fluctuations while remaining within relatively constant bounds over longer periods. Whether such rapid phenotypic evolution undermines the standard model will depend on how many genomic loci typically contribute to strongly selected traits and how phenotypic evolution impacts the dynamics of genetic variation in a population. Population-level sequencing will allow us to dissect the genetic basis of phenotypic evolution and study the evolutionary dynamics of genetic variation through direct measurement of polymorphism trajectories over time.

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.

References (101)

  • A.R. Boyko

    Assessing the evolutionary impact of amino acid mutations in the human genome

    PLoS Genet.

    (2008)
  • P.W. Messer et al.

    Frequent adaptation and the McDonald–Kreitman test

    Proc. Natl. Acad. Sci. U.S.A.

    (2013)
  • D. Enard

    Genome-wide signals of positive selection in human evolution

    Genome Res.

    (2014)
  • P.R. Grant et al.

    Unpredictable evolution in a 30-year study of Darwin's finches

    Science

    (2002)
  • P.R. Grant et al.

    Evolution of character displacement in Darwin's finches

    Science

    (2006)
  • P.R. Grant et al.

    Causes of lifetime fitness of Darwin's finches in a fluctuating environment

    Proc. Natl. Acad. Sci. U.S.A.

    (2011)
  • M.T. Koskinen

    Contemporary fisherian life-history evolution in small salmonid populations

    Nature

    (2002)
  • K.R. Elmer

    Parallel evolution of Nicaraguan crater lake cichlid fishes via non-parallel routes

    Nat. Commun.

    (2014)
  • S.P. Carroll et al.

    Host race radiation in the soapberry bug: natural history with the history

    Evolution

    (1992)
  • S.P. Carroll

    Genetic architecture of adaptive differentiation in evolving host races of the soapberry bug, Jadera haematoloma

    Genetica

    (2001)
  • D. Reznick

    Evaluation of the rate of evolution in natural populations of guppies (Poecilia reticulata)

    Science

    (1997)
  • S.P. Gordon

    Selection analysis on the rapid evolution of a secondary sexual trait

    Proc. Biol. Sci.

    (2015)
  • D.E. Pearse

    Over the falls? Rapid evolution of ecotypic differentiation in steelhead/rainbow trout (Oncorhynchus mykiss)

    J. Hered.

    (2009)
  • N.G. Hairston et al.

    Rapid evolution of a life history trait

    Proc. Natl. Acad. Sci. U.S.A.

    (1986)
  • J.N. Thompson

    Relentless Evolution

    (2013)
  • A.P. Hendry

    Eco-Evolutionary Dynamics

    (2016)
  • D.O. Conover et al.

    Sustaining fisheries yields over evolutionary time scales

    Science

    (2002)
  • Y.E. Stuart

    Rapid evolution of a native species following invasion by a congener

    Science

    (2014)
  • L. Becks

    Reduction of adaptive genetic diversity radically alters eco-evolutionary community dynamics

    Ecol. Lett.

    (2010)
  • L. Becks

    The functional genomics of an eco-evolutionary feedback loop: linking gene expression, trait evolution, and community dynamics

    Ecol. Lett.

    (2012)
  • T.C. Cameron

    Eco-evolutionary dynamics in response to selection on life-history

    Ecol. Lett.

    (2013)
  • U. Savković

    Experimentally induced host-shift changes life-history strategy in a seed beetle

    J. Evol. Biol.

    (2016)
  • N.G. Hairston

    Rapid evolution and the convergence of ecological and evolutionary time

    Ecol. Lett.

    (2005)
  • L.M. Cook et al.

    The peppered moth and industrial melanism: evolution of a natural selection case study

    Heredity

    (2013)
  • C.T. Darimont

    Human predators outpace other agents of trait change in the wild

    Proc. Natl. Acad. Sci. U.S.A.

    (2009)
  • J.K. Pritchard et al.

    Adaptation–not by sweeps alone

    Nat. Rev. Genet.

    (2010)
  • M.V. Rockman

    The QTN program and the alleles that matter for evolution: all that's gold does not glitter

    Evolution

    (2012)
  • N.G. Hairston

    Natural selection for grazer resistance to toxic cyanobacteria: evolution of phenotypic plasticity?

    Evolution

    (2001)
  • S.P. Ellner

    Does rapid evolution matter? Measuring the rate of contemporary evolution and its impacts on ecological dynamics

    Ecol. Lett.

    (2011)
  • F.C. Jones

    The genomic basis of adaptive evolution in threespine sticklebacks

    Nature

    (2012)
  • E.A. Lescak

    Evolution of stickleback in 50 years on earthquake-uplifted islands

    Proc. Natl. Acad. Sci. U.S.A.

    (2015)
  • S.F. Levy

    Quantitative evolutionary dynamics using high-resolution lineage tracking

    Nature

    (2015)
  • K.C. Kao et al.

    Molecular characterization of clonal interference during adaptive evolution in asexual populations of Saccharomyces cerevisiae

    Nat. Genet.

    (2008)
  • G.I. Lang

    Pervasive genetic hitchhiking and clonal interference in forty evolving yeast populations

    Nature

    (2013)
  • M.J. McDonald

    Sex speeds adaptation by altering the dynamics of molecular evolution

    Nature

    (2016)
  • G. Bell et al.

    Evolutionary rescue can prevent extinction following environmental change

    Ecol. Lett.

    (2009)
  • M.K. Burke

    Genome-wide analysis of a long-term evolution experiment with Drosophila

    Nature

    (2010)
  • T.L. Turner

    Population-based resequencing of experimentally evolved populations reveals the genetic basis of body size variation in Drosophila melanogaster

    PLoS Genet.

    (2011)
  • P. Orozco-terWengel

    Adaptation of Drosophila to a novel laboratory environment reveals temporally heterogeneous trajectories of selected alleles

    Mol. Ecol.

    (2012)
  • S.U. Franssen

    Patterns of linkage disequilibrium and long range hitchhiking in evolving experimental Drosophila melanogaster populations

    Mol. Biol. Evol.

    (2015)
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