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From cacti to carnivores: Improved phylotranscriptomic sampling and hierarchical homology inference provide further insight into the evolution of Caryophyllales.
Walker, Joseph F; Yang, Ya; Feng, Tao; Timoneda, Alfonso; Mikenas, Jessica; Hutchison, Vera; Edwards, Caroline; Wang, Ning; Ahluwalia, Sonia; Olivieri, Julia; Walker-Hale, Nathanael; Majure, Lucas C; Puente, Raúl; Kadereit, Gudrun; Lauterbach, Maximilian; Eggli, Urs; Flores-Olvera, Hilda; Ochoterena, Helga; Brockington, Samuel F; Moore, Michael J; Smith, Stephen A.
Afiliación
  • Walker JF; Department of Ecology & Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI, 48109-1048, USA.
  • Yang Y; Department of Plant and Microbial Biology, University of Minnesota-Twin Cities, 1445 Gortner Avenue, St. Paul, MN, 55108, USA.
  • Feng T; Department of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.
  • Timoneda A; Department of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK.
  • Mikenas J; Department of Biology, Oberlin College, Science Center K111, 119 Woodland Street, Oberlin, OH, 44074-1097, USA.
  • Hutchison V; Department of Biology, Oberlin College, Science Center K111, 119 Woodland Street, Oberlin, OH, 44074-1097, USA.
  • Edwards C; Department of Biology, Oberlin College, Science Center K111, 119 Woodland Street, Oberlin, OH, 44074-1097, USA.
  • Wang N; Department of Ecology & Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI, 48109-1048, USA.
  • Ahluwalia S; Department of Ecology & Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI, 48109-1048, USA.
  • Olivieri J; Department of Biology, Oberlin College, Science Center K111, 119 Woodland Street, Oberlin, OH, 44074-1097, USA.
  • Walker-Hale N; Institute of Computational and Mathematical Engineering (ICME), Stanford University, 475 Via Ortega, Suite B060, Stanford, CA, 94305-4042, USA.
  • Majure LC; School of Biological Sciences, Victoria University of Wellington, Kelburn Parade, Kelburn, Wellington, 6012, New Zealand.
  • Puente R; Department of Research, Conservation and Collections, Desert Botanical Garden, 1201 N. Galvin Pkwy, Phoenix, AZ, 85008, USA.
  • Kadereit G; Department of Research, Conservation and Collections, Desert Botanical Garden, 1201 N. Galvin Pkwy, Phoenix, AZ, 85008, USA.
  • Lauterbach M; Institut für Molekulare Physiologie, Johannes Gutenberg-Universität Mainz, D-55099, Mainz, Germany.
  • Eggli U; Institut für Molekulare und Organismische Evolutionsbiologie, Johannes Gutenberg-Universität Mainz, D-55099, Mainz, Germany.
  • Flores-Olvera H; Institut für Molekulare Physiologie, Johannes Gutenberg-Universität Mainz, D-55099, Mainz, Germany.
  • Ochoterena H; Institut für Molekulare und Organismische Evolutionsbiologie, Johannes Gutenberg-Universität Mainz, D-55099, Mainz, Germany.
  • Brockington SF; Sukkulenten-Sammlung Zürich / Grün Stadt Zürich, Mythenquai 88, CH-8002, Zürich, Switzerland.
  • Moore MJ; Departamento de Botánica, Universidad Nacional Autónoma de México, Apartado, Postal 70-367, 04510, Mexico City, Mexico.
  • Smith SA; Departamento de Botánica, Universidad Nacional Autónoma de México, Apartado, Postal 70-367, 04510, Mexico City, Mexico.
Am J Bot ; 105(3): 446-462, 2018 03.
Article en En | MEDLINE | ID: mdl-29738076
ABSTRACT
PREMISE OF THE STUDY The Caryophyllales contain ~12,500 species and are known for their cosmopolitan distribution, convergence of trait evolution, and extreme adaptations. Some relationships within the Caryophyllales, like those of many large plant clades, remain unclear, and phylogenetic studies often recover alternative hypotheses. We explore the utility of broad and dense transcriptome sampling across the order for resolving evolutionary relationships in Caryophyllales.

METHODS:

We generated 84 transcriptomes and combined these with 224 publicly available transcriptomes to perform a phylogenomic analysis of Caryophyllales. To overcome the computational challenge of ortholog detection in such a large data set, we developed an approach for clustering gene families that allowed us to analyze >300 transcriptomes and genomes. We then inferred the species relationships using multiple methods and performed gene-tree conflict analyses. KEY

RESULTS:

Our phylogenetic analyses resolved many clades with strong support, but also showed significant gene-tree discordance. This discordance is not only a common feature of phylogenomic studies, but also represents an opportunity to understand processes that have structured phylogenies. We also found taxon sampling influences species-tree inference, highlighting the importance of more focused studies with additional taxon sampling.

CONCLUSIONS:

Transcriptomes are useful both for species-tree inference and for uncovering evolutionary complexity within lineages. Through analyses of gene-tree conflict and multiple methods of species-tree inference, we demonstrate that phylogenomic data can provide unparalleled insight into the evolutionary history of Caryophyllales. We also discuss a method for overcoming computational challenges associated with homolog clustering in large data sets.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Filogenia / Genes de Plantas / Genómica / Evolución Biológica / Transcriptoma / Caryophyllales / Modelos Genéticos Tipo de estudio: Evaluation_studies / Prognostic_studies Idioma: En Revista: Am J Bot Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Filogenia / Genes de Plantas / Genómica / Evolución Biológica / Transcriptoma / Caryophyllales / Modelos Genéticos Tipo de estudio: Evaluation_studies / Prognostic_studies Idioma: En Revista: Am J Bot Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos