Navigating phylogenetic conflict and evolutionary inference in plants with target-capture data

Target capture has rapidly become a preferred approach for plant systematic and evolutionary research, marking a step change in the generation of data for phylogenetic inference. Although this advancement has facilitated the resolution of many relationships, phylogenetic conflict continues to be reported and is often attributed to genome duplication, reticulation, incomplete lineage sorting or rapid speciation – common processes in plant evolution. The proliferation of methods for analysing target-capture data in the presence of these processes can be overwhelming for many researchers, especially students. In this review, we break down the causes of conflict and guide researchers through a target-capture bioinformatic workflow, with a particular focus on robust phylogenetic inference in the presence of conflict. Through the workflow, we highlight key considerations for reducing artefactual conflict, managing paralogs and assessing conflict, and discuss current methods for investigating causes of conflict. Although we draw from examples in the Australian flora, this review is broadly relevant for any researcher working with target-capture data. We conclude that conflict is often inherent in plant phylogenomic datasets, and, although further methodological development is needed, when conflict is carefully investigated, target-capture data can provide unprecedented insight into the extraordinary evolutionary histories of plants.

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Publication Details

Journal
Australian Systematic Botany
Published
2025-05-06
DOI
https://doi.org/10.1071/sb24011
Citations
10
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
30.27
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article

Navigating phylogenetic conflict and evolutionary inference in plants with target-capture data

Alexander N. Schmidt‐Lebuhn, Brendan M. Anderson, Timothy Hammer, Harvey K. Orel et al.
10 citations
Australian Systematic Botany
Plant and animal studies
30.27
article

Navigating phylogenetic conflict and evolutionary inference in plants with target-capture data

Alexander N. Schmidt‐Lebuhn, Brendan M. Anderson, Timothy Hammer, Harvey K. Orel, Francis Jason Nge, Elizabeth Joyce, Todd G. B. McLay
article en
10 citations

Abstract

Target capture has rapidly become a preferred approach for plant systematic and evolutionary research, marking a step change in the generation of data for phylogenetic inference. Although this advancement has facilitated the resolution of many relationships, phylogenetic conflict continues to be reported and is often attributed to genome duplication, reticulation, incomplete lineage sorting or rapid speciation – common processes in plant evolution. The proliferation of methods for analysing target-capture data in the presence of these processes can be overwhelming for many researchers, especially students. In this review, we break down the causes of conflict and guide researchers through a target-capture bioinformatic workflow, with a particular focus on robust phylogenetic inference in the presence of conflict. Through the workflow, we highlight key considerations for reducing artefactual conflict, managing paralogs and assessing conflict, and discuss current methods for investigating causes of conflict. Although we draw from examples in the Australian flora, this review is broadly relevant for any researcher working with target-capture data. We conclude that conflict is often inherent in plant phylogenomic datasets, and, although further methodological development is needed, when conflict is carefully investigated, target-capture data can provide unprecedented insight into the extraordinary evolutionary histories of plants.

Australian Systematic BotanyVol. 38(3)
The University of Melbourne (AU), Centre for Australian National Biodiversity Research (AU), State Herbarium of South Australia (AU), Royal Botanic Garden Sydney (AU), Department of Biodiversity, Conservation and Attractions (AU), The University of Adelaide (AU), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 0%
Plant and animal studies
30.27
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