Topological Signatures for Population Admixture View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015-03-26

AUTHORS

Laxmi Parida , Filippo Utro , Deniz Yorukoglu , Anna Paola Carrieri , David Kuhn , Saugata Basu

ABSTRACT

As populations with multilinear transmission (i.e., mixing of genetic material from two parents, say) evolve over generations, the genetic transmission lines constitute complicated networks. In contrast, unilinear transmission leads to simpler network structures (trees). The genetic exchange in multilinear transmission is further influenced by migration, incubation, mixing and so on. The task we address in the paper is to tease apart subtle admixtures from the usual interrelationships of related populations. We present a combinatorial approach based on persistence in topology to detect admixture in populations. We show, based on controlled simulations, that topological characteristics have the potential for detecting subtle admixture in related populations. We then apply the technique successfully to a set of avocado germplasm data indicating that the approach has the potential for novel characterizations of relatedness in populations. We believe that this approach also has the potential for not only detecting but also discriminating ancient from recent admixture. More... »

PAGES

261-275

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-16706-0_27

DOI

http://dx.doi.org/10.1007/978-3-319-16706-0_27

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017954900


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