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Coalescent Tree Imbalance and a Simple Test for Selective Sweeps Based on Microsatellite Variation

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  • Haipeng Li
  • Thomas Wiehe

Abstract

Selective sweeps are at the core of adaptive evolution. We study how the shape of coalescent trees is affected by recent selective sweeps. To do so we define a coarse-grained measure of tree topology. This measure has appealing analytical properties, its distribution is derived from a uniform, and it is easy to estimate from experimental data. We show how it can be cast into a test for recent selective sweeps using microsatellite markers and present an application to an experimental data set from Plasmodium falciparum.Author Summary: It is one of the major interests in population genetics to contrast the properties and consequences of neutral and non-neutral modes of evolution. As is well-known, positive Darwinian selection and genetic hitchhiking drastically change the profile of genetic diversity compared to neutral expectations. The present-day observable genetic diversity in a sample of DNA sequences depends on events in their evolutionary history, and in particular on the shape of the underlying genealogical tree. In this paper we study how the shape of coalescent trees is affected by the presence of positively selected mutations. We define a measure of tree topology and study its properties under scenarios of neutrality and positive selection. We show that this measure can reliably be estimated from experimental data, and define an easy-to-compute statistical test of the neutral evolution hypothesis. We apply this test to data from a population of the malaria parasite Plasmodium falciparum and confirm the signature of recent positive selection in the vicinity of a drug resistance locus.

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  • Haipeng Li & Thomas Wiehe, 2013. "Coalescent Tree Imbalance and a Simple Test for Selective Sweeps Based on Microsatellite Variation," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-14, May.
  • Handle: RePEc:plo:pcbi00:1003060
    DOI: 10.1371/journal.pcbi.1003060
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    1. David E. Reich & Michele Cargill & Stacey Bolk & James Ireland & Pardis C. Sabeti & Daniel J. Richter & Thomas Lavery & Rose Kouyoumjian & Shelli F. Farhadian & Ryk Ward & Eric S. Lander, 2001. "Linkage disequilibrium in the human genome," Nature, Nature, vol. 411(6834), pages 199-204, May.
    2. Eriksson, A. & Mahjani, B. & Mehlig, B., 2009. "Sequential Markov coalescent algorithms for population models with demographic structure," Theoretical Population Biology, Elsevier, vol. 76(2), pages 84-91.
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    5. Luca Ferretti & Filippo Disanto & Thomas Wiehe, 2013. "The Effect of Single Recombination Events on Coalescent Tree Height and Shape," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
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    Cited by:

    1. Yichen Zheng & Thomas Wiehe, 2019. "Adaptation in structured populations and fuzzy boundaries between hard and soft sweeps," PLOS Computational Biology, Public Library of Science, vol. 15(11), pages 1-32, November.
    2. Jerome Kelleher & Alison M Etheridge & Gilean McVean, 2016. "Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-22, May.
    3. Wirtz, Johannes & Rauscher, Martina & Wiehe, Thomas, 2018. "Topological linkage disequilibrium calculated from coalescent genealogies," Theoretical Population Biology, Elsevier, vol. 124(C), pages 41-50.

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