Evidence map›Paper›PMID 31562744›Full record

ArticleAnnals of botany2020

Slowly but surely: gradual diversification and phenotypic evolution in the hyper-diverse tree fern family Cyatheaceae.

Oriane Loiseau, Anna Weigand, Sarah Noben, Jonathan Rolland, Daniele Silvestro, Michael Kessler, Marcus Lehnert, Nicolas Salamin

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Article in Annals of botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Oriane LoiseauDepartment of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland.
Anna WeigandInstitute for Systematic and Evolutionary Botany, University of Zurich, 8008 Zurich, Switzerland.
Sarah NobenInstitute for Systematic and Evolutionary Botany, University of Zurich, 8008 Zurich, Switzerland.
Jonathan RollandDepartment of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland.
Daniele SilvestroDepartment of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland.
Michael KesslerInstitute for Systematic and Evolutionary Botany, University of Zurich, 8008 Zurich, Switzerland.
Marcus LehnertNees Institute for Biodiversity of Plants, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany.
Nicolas SalaminDepartment of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe tremendously unbalanced distribution of species richness across clades in the tree of life is often interpreted as the result of variation in the rates of diversification, which may themselves respond to trait evolution. Even though this is likely a widespread pattern, not all diverse groups of organisms exhibit heterogeneity in their dynamics of diversification. Testing and characterizing the processes driving the evolution of clades with steady rates of diversification over long periods of time are of importance in order to have a full understanding of the build-up of biodiversity through time.

methodsWe studied the macroevolutionary history of the species-rich tree fern family Cyatheaceae and inferred a time-calibrated phylogeny of the family including extinct and extant species using the recently developed fossilized birth-death method. We tested whether the high diversity of Cyatheaceae is the result of episodes of rapid diversification associated with phenotypic and ecological differentiation or driven by stable but low rates of diversification. We compared the rates of diversification across clades, modelled the evolution of body size and climatic preferences and tested for trait-dependent diversification. KEY

resultsThis ancient group diversified at a low and constant rate during its long evolutionary history. Morphological and climatic niche evolution were found to be overall highly conserved, although we detected several shifts in the rates of evolution of climatic preferences, linked to changes in elevation. The diversification of the family occurred gradually, within limited phenotypic and ecological boundaries, and yet resulted in a remarkable species richness.

conclusionsOur study indicates that Cyatheaceae is a diverse clade which slowly accumulated morphological, ecological and taxonomic diversity over a long evolutionary period and provides a compelling example of the tropics as a museum of biodiversity.

Indexed as

FernsBiodiversityBiological EvolutionEcologyGenetic SpeciationPhylogenyclimatic preferencesCyatheaceaedivergence timesDiversificationfossilized birth–deathgradual evolutionmacroevolutionphenotypic evolutionphylogenyspecies richnesstarget sequencingtree ferns

Identifiers

PMID31562744
PMCPMC6948215

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.