Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15348 |
Resumo: | 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. © 2019 Bravo et al. |
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Bravo, Gustavo A.Antonelli, AlexandreBacon, Christine D.Bartoszek, KrzysztofBlom, Mozes P.K.Huynh, StellaJones, Graham R.Lacey Knowles, L.Lamichhaney, SangeetMarcussen, ThomasMorlon, HélèneNakhleh, Luay K.Oxelman, BengtPfeil, Bernard E.Schliep, AlexanderWahlberg, NiklasWerneck, F. P.Wiedenhoeft, JohnWillows-Munro, SandiEdwards, Scott V.2020-05-08T20:19:07Z2020-05-08T20:19:07Z2019https://repositorio.inpa.gov.br/handle/1/1534810.7717/peerj.6399Building 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. © 2019 Bravo et al.Volume 2019, Número 2Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAncient DnaTranscriptomeArabidopsis ThalianaBiogeographyCopy Number VariationGene DuplicationGene FlowGene LocusGene LossGene MappingGene OrderGenetic ParametersRecombination, GeneticGenotypeHeredityHeterozygosityHigh Throughput SequencingGene Transfer, HorizontalHumanHybridizationIntrogressionPhylogenomicsPhylogenyPhylogeographyPolymerase Chain ReactionPolyploidySanger SequencingPolymorphism, Single NucleotideSpecies DifferentiationSyntenyTree Of LifeWhole Genome SequencingEmbracing heterogeneity: Coalescing the tree of life and the future of phylogenomicsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePeerJengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf3900230https://repositorio.inpa.gov.br/bitstream/1/15348/1/artigo-inpa.pdf7957f6c8760297dd6eb20c323fcad4b2MD511/153482020-07-14 11:07:25.281oai:repositorio:1/15348Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:07:25Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics |
title |
Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics |
spellingShingle |
Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics Bravo, Gustavo A. Ancient Dna Transcriptome Arabidopsis Thaliana Biogeography Copy Number Variation Gene Duplication Gene Flow Gene Locus Gene Loss Gene Mapping Gene Order Genetic Parameters Recombination, Genetic Genotype Heredity Heterozygosity High Throughput Sequencing Gene Transfer, Horizontal Human Hybridization Introgression Phylogenomics Phylogeny Phylogeography Polymerase Chain Reaction Polyploidy Sanger Sequencing Polymorphism, Single Nucleotide Species Differentiation Synteny Tree Of Life Whole Genome Sequencing |
title_short |
Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics |
title_full |
Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics |
title_fullStr |
Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics |
title_full_unstemmed |
Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics |
title_sort |
Embracing heterogeneity: Coalescing the tree of life and the future of phylogenomics |
author |
Bravo, Gustavo A. |
author_facet |
Bravo, Gustavo A. Antonelli, Alexandre Bacon, Christine D. Bartoszek, Krzysztof Blom, Mozes P.K. Huynh, Stella Jones, Graham R. Lacey Knowles, L. Lamichhaney, Sangeet Marcussen, Thomas Morlon, Hélène Nakhleh, Luay K. Oxelman, Bengt Pfeil, Bernard E. Schliep, Alexander Wahlberg, Niklas Werneck, F. P. Wiedenhoeft, John Willows-Munro, Sandi Edwards, Scott V. |
author_role |
author |
author2 |
Antonelli, Alexandre Bacon, Christine D. Bartoszek, Krzysztof Blom, Mozes P.K. Huynh, Stella Jones, Graham R. Lacey Knowles, L. Lamichhaney, Sangeet Marcussen, Thomas Morlon, Hélène Nakhleh, Luay K. Oxelman, Bengt Pfeil, Bernard E. Schliep, Alexander Wahlberg, Niklas Werneck, F. P. Wiedenhoeft, John Willows-Munro, Sandi Edwards, Scott V. |
author2_role |
author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Bravo, Gustavo A. Antonelli, Alexandre Bacon, Christine D. Bartoszek, Krzysztof Blom, Mozes P.K. Huynh, Stella Jones, Graham R. Lacey Knowles, L. Lamichhaney, Sangeet Marcussen, Thomas Morlon, Hélène Nakhleh, Luay K. Oxelman, Bengt Pfeil, Bernard E. Schliep, Alexander Wahlberg, Niklas Werneck, F. P. Wiedenhoeft, John Willows-Munro, Sandi Edwards, Scott V. |
dc.subject.eng.fl_str_mv |
Ancient Dna Transcriptome Arabidopsis Thaliana Biogeography Copy Number Variation Gene Duplication Gene Flow Gene Locus Gene Loss Gene Mapping Gene Order Genetic Parameters Recombination, Genetic Genotype Heredity Heterozygosity High Throughput Sequencing Gene Transfer, Horizontal Human Hybridization Introgression Phylogenomics Phylogeny Phylogeography Polymerase Chain Reaction Polyploidy Sanger Sequencing Polymorphism, Single Nucleotide Species Differentiation Synteny Tree Of Life Whole Genome Sequencing |
topic |
Ancient Dna Transcriptome Arabidopsis Thaliana Biogeography Copy Number Variation Gene Duplication Gene Flow Gene Locus Gene Loss Gene Mapping Gene Order Genetic Parameters Recombination, Genetic Genotype Heredity Heterozygosity High Throughput Sequencing Gene Transfer, Horizontal Human Hybridization Introgression Phylogenomics Phylogeny Phylogeography Polymerase Chain Reaction Polyploidy Sanger Sequencing Polymorphism, Single Nucleotide Species Differentiation Synteny Tree Of Life Whole Genome Sequencing |
description |
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. © 2019 Bravo et al. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-05-08T20:19:07Z |
dc.date.available.fl_str_mv |
2020-05-08T20:19:07Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/15348 |
dc.identifier.doi.none.fl_str_mv |
10.7717/peerj.6399 |
url |
https://repositorio.inpa.gov.br/handle/1/15348 |
identifier_str_mv |
10.7717/peerj.6399 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 2019, Número 2 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
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openAccess |
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INPA |
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Repositório Institucional do INPA |
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Repositório Institucional do INPA |
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