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Using Genotype Abundance to Improve Phylogenetic Inference
Modern biological techniques enable very dense genetic sampling of unfolding evolutionary histories, and thus frequently sample some genotypes multiple times. This motivates strategies to incorporate genotype abundance information in phylogenetic inference. In this article, we synthesize a stochasti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5913685/ https://www.ncbi.nlm.nih.gov/pubmed/29474671 http://dx.doi.org/10.1093/molbev/msy020 |
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author | DeWitt, William S Mesin, Luka Victora, Gabriel D Minin, Vladimir N Matsen, Frederick A |
author_facet | DeWitt, William S Mesin, Luka Victora, Gabriel D Minin, Vladimir N Matsen, Frederick A |
author_sort | DeWitt, William S |
collection | PubMed |
description | Modern biological techniques enable very dense genetic sampling of unfolding evolutionary histories, and thus frequently sample some genotypes multiple times. This motivates strategies to incorporate genotype abundance information in phylogenetic inference. In this article, we synthesize a stochastic process model with standard sequence-based phylogenetic optimality, and show that tree estimation is substantially improved by doing so. Our method is validated with extensive simulations and an experimental single-cell lineage tracing study of germinal center B cell receptor affinity maturation. |
format | Online Article Text |
id | pubmed-5913685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59136852018-04-30 Using Genotype Abundance to Improve Phylogenetic Inference DeWitt, William S Mesin, Luka Victora, Gabriel D Minin, Vladimir N Matsen, Frederick A Mol Biol Evol Methods Modern biological techniques enable very dense genetic sampling of unfolding evolutionary histories, and thus frequently sample some genotypes multiple times. This motivates strategies to incorporate genotype abundance information in phylogenetic inference. In this article, we synthesize a stochastic process model with standard sequence-based phylogenetic optimality, and show that tree estimation is substantially improved by doing so. Our method is validated with extensive simulations and an experimental single-cell lineage tracing study of germinal center B cell receptor affinity maturation. Oxford University Press 2018-05 2018-02-20 /pmc/articles/PMC5913685/ /pubmed/29474671 http://dx.doi.org/10.1093/molbev/msy020 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), 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 | Methods DeWitt, William S Mesin, Luka Victora, Gabriel D Minin, Vladimir N Matsen, Frederick A Using Genotype Abundance to Improve Phylogenetic Inference |
title | Using Genotype Abundance to Improve Phylogenetic Inference |
title_full | Using Genotype Abundance to Improve Phylogenetic Inference |
title_fullStr | Using Genotype Abundance to Improve Phylogenetic Inference |
title_full_unstemmed | Using Genotype Abundance to Improve Phylogenetic Inference |
title_short | Using Genotype Abundance to Improve Phylogenetic Inference |
title_sort | using genotype abundance to improve phylogenetic inference |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5913685/ https://www.ncbi.nlm.nih.gov/pubmed/29474671 http://dx.doi.org/10.1093/molbev/msy020 |
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