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6/n The distance parameters in our model can be translated into QG composite effects, and estimated from hybrid cross data.pic.twitter.com/PwBCeaf6zf
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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.pic.twitter.com/lRrSkVFIgm
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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.pic.twitter.com/b6fXCw4goR
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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: r12pic.twitter.com/C6EdLYVS0V
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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.pic.twitter.com/UpvZD6Bmgb
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“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)pic.twitter.com/z2muS83l03
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It was too hard to pick just one valentine, so today my dear friends
@wendyssae , Megha and I decided to declare our love to all of Europe!pic.twitter.com/CKBd0nsO6f
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