@ARTICLE{TreeBASE2Ref18439,
author = {Simon Joly and Patricia A. McLenachan and Peter J. Lockhart},
title = {A statistical approach for distinguishing hybridization and incomplete lineage sorting},
year = {2009},
keywords = {},
doi = {10.1086/600082},
url = {},
pmid = {},
journal = {American Naturalist},
volume = {174},
number = {2},
pages = {E54--E70},
abstract = {The extent and evolutionary significance of hybridization is difficult to evaluate because of the difficulty in distinguishing hybridization from incomplete lineage sorting. Here we present a novel parametric approach for statistically distinguishing hybridization from incomplete lineage sorting based on minimum genetic distances of a non recombining locus. It is based on the idea that the expected minimum genetic distance between sequences from two species is smaller for some hybridization events than for incomplete lineage sorting scenarios. When applied to empirical datasets, distributions can be generated for the minimum inter-species distances expected under incomplete lineage sorting using coalescent simulations. If the observed distance between sequences from two species is smaller than its predicted distribution, incomplete lineage sorting can be rejected and hybridization inferred. We demonstrate the power of the method using simulations and illustrate its application on New Zealand alpine buttercups (Ranunculus). The method is robust and complements existing approaches. Thus it should allow biologists to assess with greater accuracy the importance of hybridization in evolution.}
}
Citation for Study 9948
Citation title:
"A statistical approach for distinguishing hybridization and incomplete lineage sorting".
This study was previously identified under the legacy study ID S2284
(Status: Published).
Citation
Joly S., Mclenachan P., & Lockhart P. 2009. A statistical approach for distinguishing hybridization and incomplete lineage sorting. American Naturalist, 174(2): E54-E70.
Authors
-
Joly S.
-
Mclenachan P.
-
Lockhart P.
Abstract
The extent and evolutionary significance of hybridization is difficult to evaluate because of the difficulty in distinguishing hybridization from incomplete lineage sorting. Here we present a novel parametric approach for statistically distinguishing hybridization from incomplete lineage sorting based on minimum genetic distances of a non recombining locus. It is based on the idea that the expected minimum genetic distance between sequences from two species is smaller for some hybridization events than for incomplete lineage sorting scenarios. When applied to empirical datasets, distributions can be generated for the minimum inter-species distances expected under incomplete lineage sorting using coalescent simulations. If the observed distance between sequences from two species is smaller than its predicted distribution, incomplete lineage sorting can be rejected and hybridization inferred. We demonstrate the power of the method using simulations and illustrate its application on New Zealand alpine buttercups (Ranunculus). The method is robust and complements existing approaches. Thus it should allow biologists to assess with greater accuracy the importance of hybridization in evolution.
External links
About this resource
- Canonical resource URI:
http://purl.org/phylo/treebase/phylows/study/TB2:S9948
- Other versions:
Nexus
NeXML
- Show BibTeX reference
@ARTICLE{TreeBASE2Ref18439,
author = {Simon Joly and Patricia A. McLenachan and Peter J. Lockhart},
title = {A statistical approach for distinguishing hybridization and incomplete lineage sorting},
year = {2009},
keywords = {},
doi = {10.1086/600082},
url = {},
pmid = {},
journal = {American Naturalist},
volume = {174},
number = {2},
pages = {E54--E70},
abstract = {The extent and evolutionary significance of hybridization is difficult to evaluate because of the difficulty in distinguishing hybridization from incomplete lineage sorting. Here we present a novel parametric approach for statistically distinguishing hybridization from incomplete lineage sorting based on minimum genetic distances of a non recombining locus. It is based on the idea that the expected minimum genetic distance between sequences from two species is smaller for some hybridization events than for incomplete lineage sorting scenarios. When applied to empirical datasets, distributions can be generated for the minimum inter-species distances expected under incomplete lineage sorting using coalescent simulations. If the observed distance between sequences from two species is smaller than its predicted distribution, incomplete lineage sorting can be rejected and hybridization inferred. We demonstrate the power of the method using simulations and illustrate its application on New Zealand alpine buttercups (Ranunculus). The method is robust and complements existing approaches. Thus it should allow biologists to assess with greater accuracy the importance of hybridization in evolution.}
}
- Show RIS reference
TY - JOUR
ID - 18439
AU - Joly,Simon
AU - McLenachan,Patricia A.
AU - Lockhart,Peter J.
T1 - A statistical approach for distinguishing hybridization and incomplete lineage sorting
PY - 2009
UR - http://dx.doi.org/10.1086/600082
N2 - The extent and evolutionary significance of hybridization is difficult to evaluate because of the difficulty in distinguishing hybridization from incomplete lineage sorting. Here we present a novel parametric approach for statistically distinguishing hybridization from incomplete lineage sorting based on minimum genetic distances of a non recombining locus. It is based on the idea that the expected minimum genetic distance between sequences from two species is smaller for some hybridization events than for incomplete lineage sorting scenarios. When applied to empirical datasets, distributions can be generated for the minimum inter-species distances expected under incomplete lineage sorting using coalescent simulations. If the observed distance between sequences from two species is smaller than its predicted distribution, incomplete lineage sorting can be rejected and hybridization inferred. We demonstrate the power of the method using simulations and illustrate its application on New Zealand alpine buttercups (Ranunculus). The method is robust and complements existing approaches. Thus it should allow biologists to assess with greater accuracy the importance of hybridization in evolution.
L3 - 10.1086/600082
JF - American Naturalist
VL - 174
IS - 2
ER -
Go to search
Citation
Taxa
Matrices
Trees
Analyses
