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Comparative Species Divergence across Eight Triplets of Spiny Lizards (Sceloporus) Using Genomic Sequence Data
Species divergence is typically thought to occur in the absence of gene flow, but many empirical studies are discovering that gene flow may be more pervasive during species formation. Although many examples of divergence with gene flow have been identified, few clades have been investigated in a com...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879974/ https://www.ncbi.nlm.nih.gov/pubmed/24259316 http://dx.doi.org/10.1093/gbe/evt186 |
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author | Leaché, Adam D. Harris, Rebecca B. Maliska, Max E. Linkem, Charles W. |
author_facet | Leaché, Adam D. Harris, Rebecca B. Maliska, Max E. Linkem, Charles W. |
author_sort | Leaché, Adam D. |
collection | PubMed |
description | Species divergence is typically thought to occur in the absence of gene flow, but many empirical studies are discovering that gene flow may be more pervasive during species formation. Although many examples of divergence with gene flow have been identified, few clades have been investigated in a comparative manner, and fewer have been studied using genome-wide sequence data. We contrast species divergence genetic histories across eight triplets of North American Sceloporus lizards using a maximum likelihood implementation of the isolation–migration (IM) model. Gene flow at the time of species divergence is modeled indirectly as variation in species divergence time across the genome or explicitly using a migration rate parameter. Likelihood ratio tests (LRTs) are used to test the null model of no gene flow at speciation against these two alternative gene flow models. We also use the Akaike information criterion to rank the models. Hundreds of loci are needed for the LRTs to have statistical power, and we use genome sequencing of reduced representation libraries to obtain DNA sequence alignments at many loci (between 340 and 3,478; mean = 1,678) for each triplet. We find that current species distributions are a poor predictor of whether a species pair diverged with gene flow. Interrogating the genome using the triplet method expedites the comparative study of species divergence history and the estimation of genetic parameters associated with speciation. |
format | Online Article Text |
id | pubmed-3879974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-38799742014-01-03 Comparative Species Divergence across Eight Triplets of Spiny Lizards (Sceloporus) Using Genomic Sequence Data Leaché, Adam D. Harris, Rebecca B. Maliska, Max E. Linkem, Charles W. Genome Biol Evol Research Article Species divergence is typically thought to occur in the absence of gene flow, but many empirical studies are discovering that gene flow may be more pervasive during species formation. Although many examples of divergence with gene flow have been identified, few clades have been investigated in a comparative manner, and fewer have been studied using genome-wide sequence data. We contrast species divergence genetic histories across eight triplets of North American Sceloporus lizards using a maximum likelihood implementation of the isolation–migration (IM) model. Gene flow at the time of species divergence is modeled indirectly as variation in species divergence time across the genome or explicitly using a migration rate parameter. Likelihood ratio tests (LRTs) are used to test the null model of no gene flow at speciation against these two alternative gene flow models. We also use the Akaike information criterion to rank the models. Hundreds of loci are needed for the LRTs to have statistical power, and we use genome sequencing of reduced representation libraries to obtain DNA sequence alignments at many loci (between 340 and 3,478; mean = 1,678) for each triplet. We find that current species distributions are a poor predictor of whether a species pair diverged with gene flow. Interrogating the genome using the triplet method expedites the comparative study of species divergence history and the estimation of genetic parameters associated with speciation. Oxford University Press 2013 2013-11-20 /pmc/articles/PMC3879974/ /pubmed/24259316 http://dx.doi.org/10.1093/gbe/evt186 Text en © The Author(s) 2013. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Article Leaché, Adam D. Harris, Rebecca B. Maliska, Max E. Linkem, Charles W. Comparative Species Divergence across Eight Triplets of Spiny Lizards (Sceloporus) Using Genomic Sequence Data |
title | Comparative Species Divergence across Eight Triplets of Spiny Lizards (Sceloporus) Using Genomic Sequence Data |
title_full | Comparative Species Divergence across Eight Triplets of Spiny Lizards (Sceloporus) Using Genomic Sequence Data |
title_fullStr | Comparative Species Divergence across Eight Triplets of Spiny Lizards (Sceloporus) Using Genomic Sequence Data |
title_full_unstemmed | Comparative Species Divergence across Eight Triplets of Spiny Lizards (Sceloporus) Using Genomic Sequence Data |
title_short | Comparative Species Divergence across Eight Triplets of Spiny Lizards (Sceloporus) Using Genomic Sequence Data |
title_sort | comparative species divergence across eight triplets of spiny lizards (sceloporus) using genomic sequence data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879974/ https://www.ncbi.nlm.nih.gov/pubmed/24259316 http://dx.doi.org/10.1093/gbe/evt186 |
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