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Gewählte Publikation:

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Publikationstyp: Zeitschriftenaufsatz
Dokumenttyp: Originalarbeit

Jahr: 2021

AutorInnen: Otte, KA; Nolte, V; Mallard, F; Schlötterer, C

Titel: The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime.

Quelle: Genome Biol. 2021; 22(1):211



Autor/innen der Vetmeduni Vienna:

Mallard Francois Jean Robert
Nolte Viola
Otte Kathrin
Schlötterer Christian

Beteiligte Vetmed-Organisationseinheiten
Institut für Populationsgenetik


Zugehörige(s) Projekt(e): ERC ADG: The architecture of adaptation

Dynamik von Wolbachia Infektionen

Evolution der temperaturbedingten Plastizität der Genexpression

Adaptive Genexpression


Abstract:
Understanding the genetic architecture of temperature adaptation is key for characterizing and predicting the effect of climate change on natural populations. One particularly promising approach is Evolve and Resequence, which combines advantages of experimental evolution such as time series, replicate populations, and controlled environmental conditions, with whole genome sequencing. Recent analysis of replicate populations from two different Drosophila simulans founder populations, which were adapting to the same novel hot environment, uncovered very different architectures-either many selection targets with large heterogeneity among replicates or fewer selection targets with a consistent response among replicates.Here, we expose the founder population from Portugal to a cold temperature regime. Although almost no selection targets are shared between the hot and cold selection regime, the adaptive architecture was similar. We identify a moderate number of targets under strong selection (19 selection targets, mean selection coefficient = 0.072) and parallel responses in the cold evolved replicates. This similarity across different environments indicates that the adaptive architecture depends more on the ancestry of the founder population than the specific selection regime.These observations will have broad implications for the correct interpretation of the genomic responses to a changing climate in natural populations.© 2021. The Author(s).


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