Coalescence times for three genes provide sufficient information to distinguish population structure from population size changes
The increasing amount of genomic data currently available is expanding the horizons of population genetics inference. A wide range of methods have been published allowing to detect and date major changes in population size during the history of species. At the same time, there has been an increasing...
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Published in | Journal of mathematical biology Vol. 78; no. 1-2; pp. 189 - 224 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.01.2019
Springer Nature B.V Springer |
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Abstract | The increasing amount of genomic data currently available is expanding the horizons of population genetics inference. A wide range of methods have been published allowing to detect and date major changes in population size during the history of species. At the same time, there has been an increasing recognition that population structure can generate genetic data similar to those generated under models of population size change. Recently, Mazet et al. (Heredity 116(4):362–371,
2016
) introduced the idea that, for any model of population structure, it is always possible to find a panmictic model with a particular function of population size-change having an identical distribution of
T
2
(the time of the first coalescence for a sample of size two). This implies that there is an identifiability problem between a panmictic and a structured model when we base our analysis only on
T
2
. In this paper, based on an analytical study of the rate matrix of the ancestral lineage process, we obtain new theoretical results about the joint distribution of the coalescence times
(
T
3
,
T
2
)
for a sample of three haploid genes in a
n
-island model with constant size. Even if, for any
k
≥
2
, it is always possible to find a size-change scenario for a panmictic population such that the marginal distribution of
T
k
is exactly the same as in a
n
-island model with constant population size, we show that the joint distribution of the coalescence times
(
T
3
,
T
2
)
for a sample of three genes contains enough information to distinguish between a panmictic population and a
n
-island model of constant size. |
---|---|
AbstractList | The increasing amount of genomic data currently available is expanding the horizons of population genetics inference. A wide range of methods have been published allowing to detect and date major changes in population size during the history of species. At the same time, there has been an increasing recognition that population structure can generate genetic data similar to those generated under models of population size change. Recently, Mazet et al. (Heredity 116(4):362-371, 2016) introduced the idea that, for any model of population structure, it is always possible to find a panmictic model with a particular function of population size-change having an identical distribution of [Formula: see text] (the time of the first coalescence for a sample of size two). This implies that there is an identifiability problem between a panmictic and a structured model when we base our analysis only on [Formula: see text]. In this paper, based on an analytical study of the rate matrix of the ancestral lineage process, we obtain new theoretical results about the joint distribution of the coalescence times [Formula: see text] for a sample of three haploid genes in a n-island model with constant size. Even if, for any [Formula: see text], it is always possible to find a size-change scenario for a panmictic population such that the marginal distribution of [Formula: see text] is exactly the same as in a n-island model with constant population size, we show that the joint distribution of the coalescence times [Formula: see text] for a sample of three genes contains enough information to distinguish between a panmictic population and a n-island model of constant size. The increasing amount of genomic data currently available is expanding the horizons of population genetics inference. A wide range of methods have been published allowing to detect and date major changes in population size during the history of species. At the same time, there has been an increasing recognition that population structure can generate genetic data similar to those generated under models of population size change. Recently, Mazet introduced the idea that, for any model of population structure, it is always possible to find a panmictic model with a particular function of population size change having an identical distribution of T_2 (the time of the first coalescence for a sample of size two). This implies that there is an identifiability problem between a panmictic and a structured model when we base our analysis only on T_2. A natural question that deserves to be explored is whether and when this identifiability problem disappears for larger sample sizes. In this paper, based on an analytical study of the rate matrix (or Q-matrix) of the ancestral lineage process, we obtain new theoretical results about the joint distribution of the coalescence times (T_3,T_2) for a sample of three haploid genes in a $n$-island model with constant size. In particular, we show that this distribution is always different from the analogous one obtained in a panmictic population, for any scenario of population size-change. Even if, for any k >= 2, it is always possible to find a size-change scenario for a panmictic population such that the marginal distribution of T_2 is exactly the same as in a $n$-island model with constant population size, we show that the joint distribution of the coalescence times (T_3,T_2) for a sample of three genes contains enough information to distinguish between a panmictic population and a n-island model of constant size. The increasing amount of genomic data currently available is expanding the horizons of population genetics inference. A wide range of methods have been published allowing to detect and date major changes in population size during the history of species. At the same time, there has been an increasing recognition that population structure can generate genetic data similar to those generated under models of population size change. Recently, Mazet et al. (Heredity 116(4):362–371, 2016) introduced the idea that, for any model of population structure, it is always possible to find a panmictic model with a particular function of population size-change having an identical distribution of \[T_{2}\] (the time of the first coalescence for a sample of size two). This implies that there is an identifiability problem between a panmictic and a structured model when we base our analysis only on \[T_2\]. In this paper, based on an analytical study of the rate matrix of the ancestral lineage process, we obtain new theoretical results about the joint distribution of the coalescence times \[(T_3,T_2)\] for a sample of three haploid genes in a n-island model with constant size. Even if, for any \[k \ge 2\], it is always possible to find a size-change scenario for a panmictic population such that the marginal distribution of \[T_k\] is exactly the same as in a n-island model with constant population size, we show that the joint distribution of the coalescence times \[(T_3,T_2)\] for a sample of three genes contains enough information to distinguish between a panmictic population and a n-island model of constant size. The increasing amount of genomic data currently available is expanding the horizons of population genetics inference. A wide range of methods have been published allowing to detect and date major changes in population size during the history of species. At the same time, there has been an increasing recognition that population structure can generate genetic data similar to those generated under models of population size change. Recently, Mazet et al. (Heredity 116(4):362–371, 2016 ) introduced the idea that, for any model of population structure, it is always possible to find a panmictic model with a particular function of population size-change having an identical distribution of T 2 (the time of the first coalescence for a sample of size two). This implies that there is an identifiability problem between a panmictic and a structured model when we base our analysis only on T 2 . In this paper, based on an analytical study of the rate matrix of the ancestral lineage process, we obtain new theoretical results about the joint distribution of the coalescence times ( T 3 , T 2 ) for a sample of three haploid genes in a n -island model with constant size. Even if, for any k ≥ 2 , it is always possible to find a size-change scenario for a panmictic population such that the marginal distribution of T k is exactly the same as in a n -island model with constant population size, we show that the joint distribution of the coalescence times ( T 3 , T 2 ) for a sample of three genes contains enough information to distinguish between a panmictic population and a n -island model of constant size. |
Author | Pinchon, Didier Boitard, Simon Rodríguez, Willy Grusea, Simona Chikhi, Lounès Mazet, Olivier |
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CitedBy_id | crossref_primary_10_24072_pcjournal_285 crossref_primary_10_1016_j_tpb_2020_03_004 crossref_primary_10_1111_mec_16123 crossref_primary_10_1111_2041_210X_13740 crossref_primary_10_1016_j_jgg_2021_03_005 |
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ContentType | Journal Article |
Copyright | Springer-Verlag GmbH Germany, part of Springer Nature 2018 Journal of Mathematical Biology is a copyright of Springer, (2018). All Rights Reserved. Distributed under a Creative Commons Attribution 4.0 International License |
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Keywords | Structured coalescent Rate matrix 92D15 Inverse instantaneous coalescence rate (IICR) Population structure Demographic history 60J27 60J35 Population size change 60E05 15A18 rate matrix IICR (inverse instantaneous coalescence rate) population structure population size change demographic history structured coalescent |
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SubjectTerms | Applications of Mathematics Change detection Coalescence Coalescing General Mathematics Genes Genetics Heredity Life Sciences Mathematical and Computational Biology Mathematics Mathematics and Statistics Population Population genetics Population number Population structure Populations and Evolution |
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Title | Coalescence times for three genes provide sufficient information to distinguish population structure from population size changes |
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