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

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Setting aside high-quality large areas of habitat to protect threatened populations is becoming increasingly difficult as humans fragment and degrade the environment. Biologists and managers therefore must determine the best way to shepherd small populations through the dual challenges of reductions in both the number of individuals and genetic variability. By bringing in additional individuals, threatened populations can be increased in size (demographic rescue) or provided with variation to facilitate adaptation and reduce inbreeding (genetic rescue). The relative strengths of demographic and genetic rescue for reducing extinction and increasing growth of threatened populations are untested, and which type of rescue is effective may vary with population size. Using the flour beetle (Tribolium castaneum) in a microcosm experiment, we disentangled the genetic and demographic components of rescue, and compared them with adaptation from standing genetic variation (evolutionary rescue in the strictest sense) using 244 experimental populations founded at either a smaller (50 individuals) or larger (150 individuals) size. Both types of rescue reduced extinction, and those effects were additive. Over the course of six generations, genetic rescue increased population sizes and intrinsic fitness substantially. Both large and small populations showed evidence of being able to adapt from standing genetic variation. Our results support the practice of genetic rescue in facilitating adaptation and reducing inbreeding depression, and suggest that demographic rescue alone may suffice in larger populations even if only moderately inbred individuals are available for addition.genetic rescue | extinction | migration | evolutionary rescue | adaptation H uman activities, climate change, and habitat loss are putting thousands of species at risk for extinction (1). Traditional conservation approaches that concentrate on improving habitat quality and size are becoming challenging to implement as human populations expand and degrade natural resources at an ever increasing rate. Thus, conservation efforts that are constrained by the availability of habitat may instead need to focus on improving a species' prospect of survival by maintaining sufficient population sizes and supporting the ability of populations to adapt to changing conditions. The most successful approaches are likely to be eco-evolutionary in focus, and thus aim to manipulate evolutionary processes such as inbreeding and the potential for adaptation, to influence ecological dynamics and, ultimately, population persistence.Eco-evolutionary approaches often rely on facilitating movement of individuals among small, threatened populations (2). Brown and Kodric-Brown (3) showed theoretically that immigration in natural systems can save small populations from extinction and referred to this process as the "rescue effect." This phenomenon has since been well documented (4-8), and human-facilitated immigration has been used to rescue populations threatened by degraded habitat o...

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confidence: 99%

Three types of rescue can avert extinction in a changing environment

Hufbauer

Szűcs

Kasyon

et al. 2015

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189

“…Examples include viral adaptation during infection (1), the emergence of antibiotic resistance (2), artificial selection in biotechnology (3), and cancer (4). Rapid adaptation is characterized by three key features: (i) the availability of strongly advantageous traits accessible by rare mutations, (ii) an elevated mutation rate (1), and (iii) a dynamic population size (5). Because traditional theories of gradual adaptation are not applicable under these conditions, new approaches are needed.…”

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confidence: 99%

Tug-of-war between driver and passenger mutations in cancer and other adaptive processes

McFarland

Mirny

Korolev

2014

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187

Cancer progression is an example of a rapid adaptive process where evolving new traits is essential for survival and requires a high mutation rate. Precancerous cells acquire a few key mutations that drive rapid population growth and carcinogenesis. Cancer genomics demonstrates that these few driver mutations occur alongside thousands of random passenger mutations-a natural consequence of cancer's elevated mutation rate. Some passengers are deleterious to cancer cells, yet have been largely ignored in cancer research. In population genetics, however, the accumulation of mildly deleterious mutations has been shown to cause population meltdown. Here we develop a stochastic population model where beneficial drivers engage in a tug-of-war with frequent mildly deleterious passengers. These passengers present a barrier to cancer progression describable by a critical population size, below which most lesions fail to progress, and a critical mutation rate, above which cancers melt down. We find support for this model in cancer age-incidence and cancer genomics data that also allow us to estimate the fitness advantage of drivers and fitness costs of passengers. We identify two regimes of adaptive evolutionary dynamics and use these regimes to understand successes and failures of different treatment strategies. A tumor's load of deleterious passengers can explain previously paradoxical treatment outcomes and suggest that it could potentially serve as a biomarker of response to mutagenic therapies. The collective deleterious effect of passengers is currently an unexploited therapeutic target. We discuss how their effects might be exacerbated by current and future therapies.

“…An important type of phenotypic plasticity affects growth rates and maturation schedules and is known as the compensatory response in fisheries science: when increased fishing mortality reduces intraspecific competition, individuals with the same growth genotypes can grow faster and mature earlier. The difficulty of disentangling such plastic effects and evolutionary changes in empirical data lies at the heart of the debate on fisheries-induced evolution (3,(15)(16)(17)(18)(19).…”

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confidence: 99%

Roles of density-dependent growth and life history evolution in accounting for fisheries-induced trait changes

Eikeset

Dunlop

Heino

et al. 2016

The relative roles of density dependence and life history evolution in contributing to rapid fisheries-induced trait changes remain debated. In the 1930s, northeast Arctic cod (Gadus morhua), currently the world's largest cod stock, experienced a shift from a traditional spawning-ground fishery to an industrial trawl fishery with elevated exploitation in the stock's feeding grounds. Since then, age and length at maturation have declined dramatically, a trend paralleled in other exploited stocks worldwide. These trends can be explained by demographic truncation of the population's age structure, phenotypic plasticity in maturation arising through density-dependent growth, fisheries-induced evolution favoring faster-growing or earlier-maturing fish, or a combination of these processes. Here, we use a multitrait eco-evolutionary model to assess the capacity of these processes to reproduce 74 y of historical data on age and length at maturation in northeast Arctic cod, while mimicking the stock's historical harvesting regime. Our results show that model predictions critically depend on the assumed density dependence of growth: when this is weak, life history evolution might be necessary to prevent stock collapse, whereas when a stronger density dependence estimated from recent data is used, the role of evolution in explaining fisheries-induced trait changes is diminished. Our integrative analysis of density-dependent growth, multitrait evolution, and stock-specific time series data underscores the importance of jointly considering evolutionary and ecological processes, enabling a more comprehensive perspective on empirically observed stock dynamics than previous studies could provide.phenotypic plasticity | eco-evolutionary dynamics | management | genetic adaptation | genetic variance