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Decomposing the site frequency spectrum: the impact of tree topology on neutrality tests
- Source :
- Digital.CSIC: Repositorio Institucional del CSIC, Consejo Superior de Investigaciones Científicas (CSIC), Digital.CSIC. Repositorio Institucional del CSIC, instname
- Publication Year :
- 2015
-
Abstract
- bioRxiv preprint<br />We investigate the dependence of the site frequency spectrum on the topological structure of genealogical trees. We show that basic population genetic statistics, for instance, estimators of θ or neutrality tests such as Tajima’s D, can be decomposed into components of waiting times between coalescent events and of tree topology. Our results clarify the relative impact of the two components on these statistics. We provide a rigorous interpretation of positive or negative values of an important class of neutrality tests in terms of the underlying tree shape. In particular, we show that values of Tajima’s D and Fay and Wu’s H depend in a direct way on a peculiar measure of tree balance, which is mostly determined by the root balance of the tree. We present a new test for selection in the same class as Fay and Wu’s H and discuss its interpretation and power. Finally, we determine the trees corresponding to extreme expected values of these neutrality tests and present formulas for these extreme values as a function of sample size and number of segregating sites.<br />A.L. is funded by the United Kingdom National Institute for Health Research, Health Protection Research Unit on Modelling Methodology (grant HPRU-2012-10080). L.F. and G.A. acknowledge support from the grant ANR-12-JSV7-0007 from Agence Nationale de Recherche (France). G.A. acknowledges support from the grant ANR-12-BSV7-0012-04 from Agence Nationale de Recherche (France). T.W. acknowledges support from DFG-SPP1590 by the German Science Foundation. S.E.R.O. is supported by grants CGL2009-09346 (MICINN, Spain), AGL2013-41834-R (MEC, Spain), by the CERCA Programme/Generalitat de Catalunya and acknowledges financial support from the Spanish Ministry of Economy and Competitiveness, through the Severo Ochoa Programme for Centres of Excellence in R&D 2016-2019 (SEV‐2015‐0533).
- Subjects :
- 0301 basic medicine
0106 biological sciences
Population
Investigations
Biology
Expected value
010603 evolutionary biology
01 natural sciences
Measure (mathematics)
Coalescent theory
03 medical and health sciences
Mutation Rate
Genetics
Quantitative Biology::Populations and Evolution
Quantitative Biology - Genomics
Statistical physics
Selection, Genetic
Extreme value theory
education
Quantitative Biology - Populations and Evolution
Phylogeny
030304 developmental biology
Mathematics
Genomics (q-bio.GN)
0303 health sciences
education.field_of_study
Models, Genetic
Populations and Evolution (q-bio.PE)
Estimator
Function (mathematics)
Tree (data structure)
030104 developmental biology
Sample size determination
FOS: Biological sciences
Neutral theory of molecular evolution
Subjects
Details
- Language :
- English
- ISSN :
- 20121008
- Database :
- OpenAIRE
- Journal :
- Digital.CSIC: Repositorio Institucional del CSIC, Consejo Superior de Investigaciones Científicas (CSIC), Digital.CSIC. Repositorio Institucional del CSIC, instname
- Accession number :
- edsair.doi.dedup.....1f1bb906a5ff639de24d31cfe2e0ed77