Selection, recombination, and the ancestral initiation graph

Alberti F, Herrmann C, Baake E (In Press)
Theoretical population biology.

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Abstract / Bemerkung
Recently, the selection-recombination equation with a single selected site and an arbitrary number of neutral sites was solved by Alberti and Baake (2021) by means of the ancestral selection-recombination graph. Here, we introduce a more accessible approach, namely the ancestral initiation graph. The construction is based on a discretisation of the selection-recombination equation. We apply our method to systematically explain a long-standing observation concerning the dynamics of linkage disequilibrium between two neutral loci hitchhiking along with a selected one. In particular, this clarifies the nontrivial dependence on the position of the selected site. Copyright © 2021 Elsevier Inc. All rights reserved.
Erscheinungsjahr
2021
Zeitschriftentitel
Theoretical population biology
eISSN
1096-0325
Page URI
https://pub.uni-bielefeld.de/record/2957507

Zitieren

Alberti F, Herrmann C, Baake E. Selection, recombination, and the ancestral initiation graph. Theoretical population biology. In Press.
Alberti, F., Herrmann, C., & Baake, E. (In Press). Selection, recombination, and the ancestral initiation graph. Theoretical population biology. https://doi.org/10.1016/j.tpb.2021.08.001
Alberti, F., Herrmann, C., and Baake, E. (In Press). Selection, recombination, and the ancestral initiation graph. Theoretical population biology.
Alberti, F., Herrmann, C., & Baake, E., In Press. Selection, recombination, and the ancestral initiation graph. Theoretical population biology.
F. Alberti, C. Herrmann, and E. Baake, “Selection, recombination, and the ancestral initiation graph”, Theoretical population biology, In Press.
Alberti, F., Herrmann, C., Baake, E.: Selection, recombination, and the ancestral initiation graph. Theoretical population biology. (In Press).
Alberti, Frederic, Herrmann, Carolin, and Baake, Ellen. “Selection, recombination, and the ancestral initiation graph”. Theoretical population biology (In Press).

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PMID: 34520824
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