Author

Lars W. Chatrou

Ghent UniversityORCID 0000-0003-0131-0302Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Approach:statistical model· 3 Assay:DNA methylation· 2 Research Focus:phylogenetics / evolution· 2 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

Thomas L. P. CouvreuriD· 2 shared Alexandre Rizzo ZuntiniiD· 1 shared Ana Rita G. SimõesiD· 1 shared André Luiz da Costa MoreiraiD· 1 shared Andrew J. HelmstetteriD· 1 shared Benoît LoeuilleiD· 1 shared Elton John de LírioiD· 1 shared Fábio Vitalino Santos AlvesiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersEvolutionary Biology

Thomas L. P. CouvreurORCID

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3 papers

Recent·Most cited

Evolutionary BiologyAmerican Journal of BotanyPeer-reviewedJan 1, 2025

Towards a phylogenomic classification of Magnoliidae

Andrew J. Helmstetter, Zacky Ezedin, Elton John de Lírio…·Hervé Sauquet

This study presents a comprehensive phylogenomic analysis of Magnoliidae, updating its classification by resolving previously ambiguous relationships and recognizing 21 families.

32 citationstop 1%

plant (other)DNA methylation

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EcologybioRxivPreprintNov 6, 2024

Too hot for the weeds? Exploring the impact of climate change in herbaceous Convolvulaceae in Cerrado and Mata Atlantica biomes (SE Brazil)

Juliana Cruz Jardim Barbosa, Fábio Vitalino Santos Alves, André Luiz da Costa Moreira…·Ana Rita G. Simões

This study assesses how nine Convolvulaceae weed species in Brazil's Cerrado and Mata Atlantica biomes will respond to climate change using predictive modeling, finding varied impacts with some species benefiting and others facing habitat loss.

DOI 10.1101/2024.11.06.621913

plant (other)statistical model

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Evolutionary BiologyApplications in Plant SciencesPeer-reviewedSep 25, 2024

Truly the best of both worlds: merging lineage-specific and universal baiting kits to maximize phylogenomic inference

Luiz Henrique M. Fonseca, Pieter Asselman, Katherine R. Goodrich…·Lars W. Chatrou

The paper merges lineage-specific and universal baiting kits to improve phylogenomic inference, showing high gene recovery and benefits of combining kits.

4 citations

plant (other)DNA methylation

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