Ecological Genetics

Ecological genetics is the study of how ecologically relevant traits evolve in natural populations. Early research in ecological genetics demonstrated that natural selection often is strong enough to generate rapid adaptive changes in nature. Modern ecological geneticists combine field observations, laboratory experiments and rapidly improving laboratory techniques to further our understanding about how traits evolve in nature and also to identify which genes are evolving. Ecological geneticists increasingly explore how evolutionary dynamics shape ecological properties. As a consequence, ecological genetics is highly relevant to practical questions that lie at the interface of ecology and evolution.

Key concepts

  • Definition of ecological genetics.
  • How ecological genetics differs from similar fields?
  • Why ecologists need to know evolutionary biology and evolutionary biologists need to know ecology?
  • Major explanations of phenotypic variation in natural populations.
  • How experiments can discern among these explanations?
  • The importance of identifying the genes underlying adaptive trait variation.
  • Constraints to adaptive evolution.
  • How gene flow affects the evolution of interconnected populations?
  • How a consideration of multiple adapting species can alter evolutionary predictions?

Keywords: adaptation; evolutionary ecology; metapopulation genetics; gene flow; coevolution

Figure 1. Ecological geneticists often use common garden experiments to understand the potential determinants of phenotypic variation in natural populations. Here, I assume two populations of tadpoles. Population A lives in a habitat devoid of predators and Population B lives in a habitat with predaceous dragonflies, creating a potential landscape mosaic of heterogeneous selection. The two tadpoles differ in their phenotypes such that the ones living with the predaceous dragonflies have larger tailfins than the other population. A common garden experiment is performed in which eggs from each population are collected from the two natural populations and raised in a controlled environment with and without dragonflies (with each combination replicated many times). Three divergent phenotypic outcomes that might characterize tadpoles raised in the common garden are depicted. If individuals from both populations have bigger tailfins when grown with predaceous dragonflies, but otherwise the populations have similar phenotypes, then nongenetic phenotypic plasticity likely underlies the observed variation. However, if Population B consistently has larger tailfins regardless of treatment and Population A does not (2nd row), then this finding suggests that bigger tailfins might have evolved in Population B. Two caveats are worth mentioning here. First, we would need to confirm that bigger tailfins are associated with higher fitness under attack by predaceous dragonflies through a natural selection experiment. If tailfins do not give rise to higher fitness, they might have evolved due to random drift. Second, maternal effects, the nongenetic inheritance of traits from mothers (e.g. bigger mothers have bigger offspring) could confound results; whenever possible, several generations should be raised in the common garden to eliminate maternal effects. In the topmost row, Population B shows a plastic reaction to dragonflies, whereas Population A does not. This result suggests the evolution of plasticity (a gene by environment interaction) in Population A.
Figure 2. Adaptive evolution can occur quite quickly, demonstrating substantial changes in trait evolution over the course of just a few generations. Here, the median rates of adaptation (in standard deviations of phenotypic change per generation, the ‘Haldane’) compiled from published studies are arranged by geometrically distributed bins. Each bin estimates the evolutionary rates from published studies analysed over the number of generations greater than the prior bin up to and including the value of the bin. Note that no data were available for the 1–2 generations bin. Evolutionary rates are high at first but decline when analysed over longer time spans, possibly because optima are quickly reached or because natural selection gradients rapidly reverse, leading to less overall long-term phenotypic change. Data from Kinnison and Hendry (2001).
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 References
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 Further Reading
    book Falconer DS and Mackay TFC (1996) Introduction to Quantitative Genetics, 4th edn. Essex, England: Longman.
    book Roff DA (2002) Life History Evolution. Sunderland, MA: Sinauer Assoc., Inc.
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Urban, Mark C(Dec 2008) Ecological Genetics. In: eLS. John Wiley & Sons Ltd, Chichester. http://www.els.net [doi: 10.1002/9780470015902.a0021214]