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  The breakdown of genomic ancestry blocks in hybrid lineages given a finite number of recombination sites

Janzen, T., Nolte, A. W., & Traulsen, A. (2018). The breakdown of genomic ancestry blocks in hybrid lineages given a finite number of recombination sites. Evolution, n/a-n/a. doi:10.1111/evo.13436.

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Janzen, Thijs1, Author           
Nolte, Arne W.1, Author           
Traulsen, Arne2, Author           
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1External Organizations, ou_persistent22              
2Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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Free keywords: Admixture; hybridization; junctions; population genetics; recombination
 Abstract: When a lineage originates from hybridization genomic blocks of contiguous ancestry from different ancestors are fragmented through genetic recombination. The resulting blocks are delineated by so called “junctions”, which accumulate with every generation that passes. Modeling the accumulation of ancestry block junctions can elucidate processes and timeframes of genomic admixture. Previous models have not addressed ancestry block dynamics for chromosomes that consist of a finite number of recombination sites. However, genomic data typically consist of informative markers that are interspersed with fragments for which no ancestry information is available. Hence, repeated recombination events may occur between markers, effectively removing existing junctions. Here, we present an analytical treatment of the dynamics of the mean number of junctions over time, taking into account the number of recombination sites per chromosome, population size, genetic map length and the frequency of the ancestral species in the founding hybrid swarm. We describe the expected number of junctions using equidistant molecular markers and estimate the number of junctions using random markers. This extended theory of junctions thus reflects properties of empirical data and can serve to study the genomic patterns following admixture.This article is protected by copyright. All rights reserved

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Language(s): eng - English
 Dates: 2017-07-082018-01-162018-02-07
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1111/evo.13436
 Degree: -

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Title: Evolution
  Other : Evolution
Source Genre: Journal
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Publ. Info: Boulder, Colo.? : Society for the Study of Evolution
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: n/a - n/a Identifier: ISSN: 0014-3820
CoNE: https://pure.mpg.de/cone/journals/resource/991042730870254