Estimating Parameters of Speciation Models Based on Refined Summaries of the Joint Site-Frequency Spectrum

Verfasser / Beitragende:
[Aurélien Tellier, Peter Pfaffelhuber, Bernhard Haubold, Lisha Naduvilezhath, Laura E. Rose, Thomas Städler, Wolfgang Stephan, Dirk Metzler]
Ort, Verlag, Jahr:
2011
Enthalten in:
PLoS ONE, 6 (5), p. e18155
Format:
Artikel (online)
ID: 528784862
LEADER naa a22 4500
001 528784862
005 20180924065517.0
007 cr unu---uuuuu
008 180924e20110526xx s 000 0 eng
024 7 0 |a 10.3929/ethz-b-000037706  |2 doi 
024 7 0 |a 10.1371/journal.pone.0018155  |2 doi 
035 |a (ETHRESEARCH)oai:www.research-collecti.ethz.ch:20.500.11850/37706 
245 0 0 |a Estimating Parameters of Speciation Models Based on Refined Summaries of the Joint Site-Frequency Spectrum  |h [Elektronische Daten]  |c [Aurélien Tellier, Peter Pfaffelhuber, Bernhard Haubold, Lisha Naduvilezhath, Laura E. Rose, Thomas Städler, Wolfgang Stephan, Dirk Metzler] 
246 0 |a PLoS ONE 
506 |a Open access  |2 ethresearch 
520 3 |a Understanding the processes and conditions under which populations diverge to give rise to distinct species is a central question in evolutionary biology. Since recently diverged populations have high levels of shared polymorphisms, it is challenging to distinguish between recent divergence with no (or very low) inter-population gene flow and older splitting events with subsequent gene flow. Recently published methods to infer speciation parameters under the isolation-migration framework are based on summarizing polymorphism data at multiple loci in two species using the joint site-frequency spectrum (JSFS). We have developed two improvements of these methods based on a more extensive use of the JSFS classes of polymorphisms for species with high intra-locus recombination rates. First, using a likelihood based method, we demonstrate that taking into account low-frequency polymorphisms shared between species significantly improves the joint estimation of the divergence time and gene flow between species. Second, we introduce a local linear regression algorithm that considerably reduces the computational time and allows for the estimation of unequal rates of gene flow between species. We also investigate which summary statistics from the JSFS allow the greatest estimation accuracy for divergence time and migration rates for low (around 10) and high (around 100) numbers of loci. Focusing on cases with low numbers of loci and high intra-locus recombination rates we show that our methods for the estimation of divergence time and migration rates are more precise than existing approaches. 
540 |a Creative Commons Attribution 3.0 Unported  |u http://creativecommons.org/licenses/by/3.0  |2 ethresearch 
700 1 |a Tellier  |D Aurélien  |e joint author 
700 1 |a Pfaffelhuber  |D Peter  |e joint author 
700 1 |a Haubold  |D Bernhard  |e joint author 
700 1 |a Naduvilezhath  |D Lisha  |e joint author 
700 1 |a Rose  |D Laura E.  |e joint author 
700 1 |a Städler  |D Thomas  |e joint author 
700 1 |a Stephan  |D Wolfgang  |e joint author 
700 1 |a Metzler  |D Dirk  |e joint author 
773 0 |t PLoS ONE  |d San Francisco, CA, USA : Public Library of Science  |g 6 (5), p. e18155  |x 1932-6203 
856 4 0 |u http://hdl.handle.net/20.500.11850/37706  |q text/html  |z WWW-Backlink auf das Repository (Open access) 
908 |D 1  |a Journal Article  |2 ethresearch 
950 |B ETHRESEARCH  |P 856  |E 40  |u http://hdl.handle.net/20.500.11850/37706  |q text/html  |z WWW-Backlink auf das Repository (Open access) 
950 |B ETHRESEARCH  |P 700  |E 1-  |a Tellier  |D Aurélien  |e joint author 
950 |B ETHRESEARCH  |P 700  |E 1-  |a Pfaffelhuber  |D Peter  |e joint author 
950 |B ETHRESEARCH  |P 700  |E 1-  |a Haubold  |D Bernhard  |e joint author 
950 |B ETHRESEARCH  |P 700  |E 1-  |a Naduvilezhath  |D Lisha  |e joint author 
950 |B ETHRESEARCH  |P 700  |E 1-  |a Rose  |D Laura E.  |e joint author 
950 |B ETHRESEARCH  |P 700  |E 1-  |a Städler  |D Thomas  |e joint author 
950 |B ETHRESEARCH  |P 700  |E 1-  |a Stephan  |D Wolfgang  |e joint author 
950 |B ETHRESEARCH  |P 700  |E 1-  |a Metzler  |D Dirk  |e joint author 
950 |B ETHRESEARCH  |P 773  |E 0-  |t PLoS ONE  |d San Francisco, CA, USA : Public Library of Science  |g 6 (5), p. e18155  |x 1932-6203 
898 |a BK010053  |b XK010053  |c XK010000 
949 |B ETHRESEARCH  |F ETHRESEARCH  |b ETHRESEARCH  |j Journal Article  |c Open access