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Κυριακή 6 Οκτωβρίου 2019

The effect of habitat choice on evolutionary rescue in subdivided populations [NEW RESULTS]
Evolutionary rescue is the process by which a declining population successfully adapts genetically to avoid extinction. In a structured environment that deteriorates patch by patch, dispersal can substantially alter the chances of evolutionary rescue of a wild-type population not viable in deteriorated patches. Here, we investigate the effect of different dispersal schemes and intensities on the probability of successful establishment of a mutant population adapted to the deteriorated environment....
bioRxiv Subject Collection: Evolutionary Biology
Sun Oct 06, 2019 03:00
A deep learning approach for building multiple trees classification [NEW RESULTS]
Each gene has its own evolutionary history which can substantially differ from the evolutionary histories of other genes. For example, some individual genes or operons can be affected by specific horizontal gene transfer or hybridization events. Thus, the evolutionary history of each gene should be represented by its own phylogenetic tree which may display different evolutionary patterns from the species tree, or Tree of Life, that represents the main patterns of vertical descent. Here, we present...
bioRxiv Subject Collection: Evolutionary Biology
Sun Oct 06, 2019 03:00
Clonal interference patterns shift during range expansion [NEW RESULTS]
The movement of a population through space can have profound impacts on its evolution, as observed theoretically, experimentally, and clinically. Furthermore, it has been observed that mutants emerging at the spreading front develop higher frequencies in the population than their counterparts further from the front. Here we use fundamental arguments from population genetics regarding expected time scales of beneficial mutant establishment and fixation in a population undergoing range expansion to...
bioRxiv Subject Collection: Evolutionary Biology
Sun Oct 06, 2019 03:00
A new clustering method for building multiple trees using deep learning [NEW RESULTS]
Each gene has its own evolutionary history which can substantially differ from the evolutionary histories of other genes. For example, some individual genes or operons can be affected by specific horizontal gene transfer or hybridization events. Thus, the evolutionary history of each gene should be represented by its own phylogenetic tree which may display different evolutionary patterns from the species tree, or Tree of Life, that represents the main patterns of vertical descent. Here, we present...
bioRxiv Subject Collection: Evolutionary Biology
Sun Oct 06, 2019 03:00

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