Hilde Schneemann

@HildeSchneemann

Fascinated by evolution, hybridisation and speciation theory and modelling. PhD student at , previously .

Vrijeme pridruživanja: siječanj 2015.

Medijski sadržaj

  1. 5. pro 2019.

    6/n The distance parameters in our model can be translated into QG composite effects, and estimated from hybrid cross data.

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  2. 5. pro 2019.

    5/n High values (red) of r12 can lead to bounded hybrid advantage, heterosis, or ecological isolation. Low values (blue) lead to a characteristic pattern of intrinsic isolation.

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  3. 5. pro 2019.

    4/n One of these parameters, r12, tells us whether parental phenotypes have diverged more or less than would be predicted by a random walk model of evolution. Its value tends to shrink over time due to system drift or complex environmental change.

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  4. 5. pro 2019.

    3/nWe can predict fitness differences between hybrids from only a few measures of the parental phenotypes, corresponding to distances in the fitness landscape; loosely: the fitness of the parents (their distance to the optimum) and the phenotypic distance between the parents: r12

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  5. 5. pro 2019.

    2/n Strikingly, the patterns of hybrid fitness are robust to a wide range of divergence scenarios including divergence with gene flow, system drift, inbreeding, environmental change, and segregating variation.

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  6. 5. pro 2019.

    “The Geometry and Genetics of Hybridization” -- a thread: How much can we learn from patterns of hybrid fitness? Let’s use a fitness landscape models to generate some predictions and see how they depend on the process of divergence (1/n)

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  7. It was too hard to pick just one valentine, so today my dear friends , Megha and I decided to declare our love to all of Europe!

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