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Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics

Authors: Gustavo A. Bravo; Alexandre Antonelli; Christine D. Bacon; Krzysztof Bartoszek; Mozes P. K. Blom; Stella Huynh; Graham Jones; +13 Authors

Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics

Abstract

Building the Tree of Life (ToL) is a major challenge of modern biology, requiring advances in cyberinfrastructure, data collection, theory, and more. Here, we argue that phylogenomics stands to benefit by embracing the many heterogeneous genomic signals emerging from the first decade of large-scale phylogenetic analysis spawned by high-throughput sequencing (HTS). Such signals include those most commonly encountered in phylogenomic datasets, such as incomplete lineage sorting, but also those reticulate processes emerging with greater frequency, such as recombination and introgression. Here we focus specifically on how phylogenetic methods can accommodate the heterogeneity incurred by such population genetic processes; we do not discuss phylogenetic methods that ignore such processes, such as concatenation or supermatrix approaches or supertrees. We suggest that methods of data acquisition and the types of markers used in phylogenomics will remain restricted until a posteriori methods of marker choice are made possible with routine whole-genome sequencing of taxa of interest. We discuss limitations and potential extensions of a model supporting innovation in phylogenomics today, the multispecies coalescent model (MSC). Macroevolutionary models that use phylogenies, such as character mapping, often ignore the heterogeneity on which building phylogenies increasingly rely and suggest that assimilating such heterogeneity is an important goal moving forward. Finally, we argue that an integrative cyberinfrastructure linking all steps of the process of building the ToL, from specimen acquisition in the field to publication and tracking of phylogenomic data, as well as a culture that values contributors at each step, are essential for progress.

Countries
Germany, Brazil, Norway, Sweden
Keywords

Heredity, Introgression, Speciation, Species Differentiation, Gene Transfer, 590, Polymerase Chain Reaction, Evolutionsbiologi, Gene Duplication, Gene Order, Tree Of Life, Biology (General), Phylogeny, Heterozygosity, Genome, Ancient Dna, R, Phylogenomics, Single Nucleotide, Biodiversity, Copy Number Variation, Gene flow, Phylogeography, Gene Locus, Biogeography, Medicine, Genetic Parameters, Human, Gene Flow, Genotype, QH301-705.5, Arabidopsis Thaliana, Synteny, Horizontal, 576, Polyploidy, Genetic, Gene Loss, Polymorphism, Multispecies coalescent model, Hybridization, Evolutionary Biology, Whole Genome Sequencing, Gene Mapping, High Throughput Sequencing, Recombination, Gene flow; Genome; Multispecies coalescent model; Retroelement; Speciation; Transcriptome, Sanger Sequencing, Transcriptome, Retroelement

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
126
Top 1%
Top 10%
Top 1%
Green
gold