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Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees
BACKGROUND: There has been increasing interest in coalescent models which admit multiple mergers of ancestral lineages; and to model hybridization and coalescence simultaneously. RESULTS: Hybrid-Lambda is a software package that simulates gene genealogies under multiple merger and Kingman’s coalesce...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4571064/ https://www.ncbi.nlm.nih.gov/pubmed/26373308 http://dx.doi.org/10.1186/s12859-015-0721-y |
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author | Zhu, Sha Degnan, James H. Goldstien, Sharyn J. Eldon, Bjarki |
author_facet | Zhu, Sha Degnan, James H. Goldstien, Sharyn J. Eldon, Bjarki |
author_sort | Zhu, Sha |
collection | PubMed |
description | BACKGROUND: There has been increasing interest in coalescent models which admit multiple mergers of ancestral lineages; and to model hybridization and coalescence simultaneously. RESULTS: Hybrid-Lambda is a software package that simulates gene genealogies under multiple merger and Kingman’s coalescent processes within species networks or species trees. Hybrid-Lambda allows different coalescent processes to be specified for different populations, and allows for time to be converted between generations and coalescent units, by specifying a population size for each population. In addition, Hybrid-Lambda can generate simulated datasets, assuming the infinitely many sites mutation model, and compute the F (ST) statistic. As an illustration, we apply Hybrid-Lambda to infer the time of subdivision of certain marine invertebrates under different coalescent processes. CONCLUSIONS: Hybrid-Lambda makes it possible to investigate biogeographic concordance among high fecundity species exhibiting skewed offspring distribution. |
format | Online Article Text |
id | pubmed-4571064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45710642015-09-17 Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees Zhu, Sha Degnan, James H. Goldstien, Sharyn J. Eldon, Bjarki BMC Bioinformatics Software BACKGROUND: There has been increasing interest in coalescent models which admit multiple mergers of ancestral lineages; and to model hybridization and coalescence simultaneously. RESULTS: Hybrid-Lambda is a software package that simulates gene genealogies under multiple merger and Kingman’s coalescent processes within species networks or species trees. Hybrid-Lambda allows different coalescent processes to be specified for different populations, and allows for time to be converted between generations and coalescent units, by specifying a population size for each population. In addition, Hybrid-Lambda can generate simulated datasets, assuming the infinitely many sites mutation model, and compute the F (ST) statistic. As an illustration, we apply Hybrid-Lambda to infer the time of subdivision of certain marine invertebrates under different coalescent processes. CONCLUSIONS: Hybrid-Lambda makes it possible to investigate biogeographic concordance among high fecundity species exhibiting skewed offspring distribution. BioMed Central 2015-09-15 /pmc/articles/PMC4571064/ /pubmed/26373308 http://dx.doi.org/10.1186/s12859-015-0721-y Text en © Zhu et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Zhu, Sha Degnan, James H. Goldstien, Sharyn J. Eldon, Bjarki Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees |
title | Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees |
title_full | Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees |
title_fullStr | Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees |
title_full_unstemmed | Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees |
title_short | Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees |
title_sort | hybrid-lambda: simulation of multiple merger and kingman gene genealogies in species networks and species trees |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4571064/ https://www.ncbi.nlm.nih.gov/pubmed/26373308 http://dx.doi.org/10.1186/s12859-015-0721-y |
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