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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...

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Detalles Bibliográficos
Autores principales: DeWitt, William S, Mesin, Luka, Victora, Gabriel D, Minin, Vladimir N, Matsen, Frederick A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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.
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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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