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Life Sciences · Agricultural and Biological Sciences

Plant Diversity and Evolution
Research Guide

What is Plant Diversity and Evolution?

Plant Diversity and Evolution is the study of how plant lineages—especially flowering plants (angiosperms)—originate, diversify, and are classified through time using evidence from phylogenetics, taxonomy, and biogeography.

Plant Diversity and Evolution research commonly reconstructs evolutionary relationships among plant groups using molecular and morphological data analyzed with phylogenetic inference methods and explicit models of character change.

Topic Hierarchy

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graph TD D["Life Sciences"] F["Agricultural and Biological Sciences"] S["Ecology, Evolution, Behavior and Systematics"] T["Plant Diversity and Evolution"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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285.2K
Papers
N/A
5yr Growth
1.1M
Total Citations

Research Sub-Topics

Why It Matters

Plant Diversity and Evolution underpins practical classification systems used across biodiversity science, conservation, and agriculture by providing stable, phylogeny-based names and groupings for communication and decision-making. "An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV" (2016) formalized an updated, widely used angiosperm classification and recognized several new orders—Boraginales, Dilleniales, Icacinales, Metteniusiales, and Vahliales—directly affecting how herbaria, floras, and regulatory or conservation lists organize flowering-plant diversity. In applied plant biology, physiological measurement frameworks also matter: Scholander et al. (1965) in "Sap Pressure in Vascular Plants" reported that xylem sap pressures during transpiration are normally negative and ranged from about −4 or −5 atmospheres in a damp forest to −80 atmospheres in the desert, values that inform how researchers interpret drought stress, salt tolerance (e.g., halophytes), and water-transport constraints across diverse plant lineages. Methodologically, widely adopted software systems—Felsenstein’s "PHYLIP-Phylogeny inference package (Version 3.2)" (1989), Goloboff et al.’s "TNT, a free program for phylogenetic analysis" (2008), and Trifinopoulos et al.’s "W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis" (2016)—enable reproducible phylogenetic hypotheses that feed into comparative studies of diversification, trait evolution, and historical biogeography, which in turn guide sampling priorities and taxonomic revisions.

Reading Guide

Where to Start

Start with "An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV" (2016) because it defines the reference classification framework that most comparative, floristic, and systematic work on angiosperms must map onto.

Key Papers Explained

The classification backbone is provided by THE ANGIOSPERM PHYLOGENY GROUP’s "An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG III" (2009) and The Angiosperm Phylogeny Group’s "An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV" (2016), which translate phylogenetic evidence into a usable taxonomy. Methodologically, Felsenstein’s "PHYLIP-Phylogeny inference package (Version 3.2)" (1989) represents foundational computational infrastructure for phylogeny inference, while Gouy et al.’s "SeaView Version 4: A Multiplatform Graphical User Interface for Sequence Alignment and Phylogenetic Tree Building" (2009) and Dereeper et al.’s "Phylogeny.fr: robust phylogenetic analysis for the non-specialist" (2008) emphasize end-to-end workflows that lower barriers to alignment and tree reconstruction. Lanfear et al.’s "PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses" (2016) and Trifinopoulos et al.’s "W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis" (2016) focus on model choice and maximum-likelihood inference, which strongly influence topology and support values that later inform taxonomic decisions and trait-evolution analyses.

Paper Timeline

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graph LR P0["PHYLIP-Phylogeny inference packa...
1989 · 17.9K cites"] P1["MacClade 4.0: analysis of phylog...
2001 · 5.6K cites"] P2["TNT, a free program for phylogen...
2008 · 5.3K cites"] P3["SeaView Version 4: A Multiplatfo...
2009 · 5.7K cites"] P4["An update of the Angiosperm Phyl...
2016 · 9.4K cites"] P5["W-IQ-TREE: a fast online phyloge...
2016 · 5.2K cites"] P6["PartitionFinder 2: New Methods f...
2016 · 5.2K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P0 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

A practical frontier is integrating large-scale, web-accessible inference ("W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis") with transparent, pipeline-based analysis and model-selection ("PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses") so that phylogenies used for classification (APG III/APG IV) can be updated reproducibly as new data accumulate. Another frontier is improving how non-specialist platforms ("Phylogeny.fr: robust phylogenetic analysis for the non-specialist") and GUI environments ("SeaView Version 4: A Multiplatform Graphical User Interface for Sequence Alignment and Phylogenetic Tree Building") document parameters and uncertainty, because small differences in alignment, partitioning, or inference settings can propagate into different conclusions about diversification and biogeographic history.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 PHYLIP-Phylogeny inference package (Version 3.2) 1989 Cladistics 17.9K
2 An update of the Angiosperm Phylogeny Group classification for... 2016 Botanical Journal of t... 9.4K
3 SeaView Version 4: A Multiplatform Graphical User Interface fo... 2009 Molecular Biology and ... 5.7K
4 MacClade 4.0: analysis of phylogeny and character evolution 2001 Choice Reviews Online 5.6K
5 TNT, a free program for phylogenetic analysis 2008 Cladistics 5.3K
6 W-IQ-TREE: a fast online phylogenetic tool for maximum likelih... 2016 Nucleic Acids Research 5.2K
7 PartitionFinder 2: New Methods for Selecting Partitioned Model... 2016 Molecular Biology and ... 5.2K
8 An update of the Angiosperm Phylogeny Group classification for... 2009 Botanical Journal of t... 4.8K
9 Phylogeny.fr: robust phylogenetic analysis for the non-specialist 2008 Nucleic Acids Research 4.7K
10 Sap Pressure in Vascular Plants 1965 Science 4.4K

In the News

Earth BioGenome Project

Oct 2025 earthbiogenome.org

**Journal:** *Trends in Ecology and Evolution* (2025 )

Artificial Intelligence: Unlocking the Power of Plants and ...

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NYBG is honored to be one of 15 global recipients of Phase II of the Bezos Earth Fund’s AI Grand Challenge for Climate Change and Nature to harnesses the power of cutting-edge, responsible Artifici...

Developmentally regulated genes drive phylogenomic splits in ovule evolution

Nov 2025 nature.com Coruzzi, Gloria M.

gymnosperm-specific ovule structures. Our work provides a resource for seed gene discovery, conservation, and crop improvement.

The Earth BioGenome Project Phase II: illuminating the eukaryotic tree of life

Sep 2025 frontiersin.org Mark Blaxter, Harris A. Lewin, Federica DiPalma, Richard Challis, Manuela da Silva, Richard Durbin, Giulio Formenti, Nico Franz, Roderic Guigo, Peter W. Harrison, Michael Hiller, Katharina J. Hoff, Kerstin Howe, Erich D. Jarvis, Mara K. N. Lawniczak, Kerstin Lindblad-Toh, Debra J. H. Mathews, Fergal J. Martin, Camila J. Mazzoni, Ann M. McCartney, Nicola Mulder, Sadye Paez, Kim D. Pruitt, Verena Ras, Oliver A. Ryder, Lesley Shirley, Françoise Thibaud-Nissen, Tandy Warnow, Robert M. Waterhouse, the EBP Community of Scientists

* We propose the establishment of a US$0.5 billion Foundational Impact Project (FIF) fund to support the immediate use of the genome sequences in conservation, agriculture, biodiversity monitoring,...

Sticking together under stress: NSF grant brings plant ...

Jan 2026 ag.purdue.edu

Davis and Szymanski formed an interdisciplinary collaboration and were funded by a National Science Foundation Transitions to Excellence grant . They each hired a postdoctoral researcher who would ...

Code & Tools

Recent Preprints

Latest Developments

Recent developments in plant diversity and evolution research include the publication of a comprehensive genomic tree of life for nearly 8,000 angiosperm genera, revealing complex evolutionary histories and diversification surges, as reported in Nature on August 21, 2024, and a new, detailed tree of life for flowering plants that suggests tangled roots and ancient interbreeding events, published in Nature on July 5, 2024 (nature.com, science.org). Additionally, a study published in January 2026 in Nature Ecology and Evolution highlights significant recent shifts in tree diversity in Amazon and Andean forests due to global change (phys.org).

Frequently Asked Questions

What is the Angiosperm Phylogeny Group (APG) classification used for in plant diversity research?

The APG classification provides a consensus, phylogeny-based system for naming and arranging orders and families of flowering plants so results are comparable across studies. "An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV" (2016) updated earlier APG schemes and recognized new orders including Boraginales, Dilleniales, Icacinales, Metteniusiales, and Vahliales.

How do researchers infer evolutionary relationships among plant taxa from sequence data?

Researchers typically align homologous DNA or protein sequences and infer trees using methods such as maximum likelihood, then evaluate support and compare alternative hypotheses. Gouy et al. (2009) in "SeaView Version 4: A Multiplatform Graphical User Interface for Sequence Alignment and Phylogenetic Tree Building" described an interface that integrates alignment and tree building, while Trifinopoulos et al. (2016) in "W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis" described a web-accessible maximum-likelihood workflow.

Which tools are commonly used to build and manage phylogenetic analyses in plant systematics?

Commonly used tools include general phylogeny packages, interfaces for alignment and inference, and platforms that chain steps into pipelines. Felsenstein (1989) introduced "PHYLIP-Phylogeny inference package (Version 3.2)", Dereeper et al. (2008) presented "Phylogeny.fr: robust phylogenetic analysis for the non-specialist", and Goloboff et al. (2008) described "TNT, a free program for phylogenetic analysis" for phylogenetic reconstruction, especially in parsimony-based workflows.

How do researchers choose evolutionary models and partitioning schemes for phylogenetic datasets?

Researchers often test alternative partitioning schemes and substitution models to better fit heterogeneous molecular or morphological datasets. Lanfear et al. (2016) in "PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses" described automated selection of best-fit partitioning schemes and models aimed at improving phylogenetic inference.

How is character evolution analyzed once a plant phylogeny has been estimated?

Character evolution is studied by mapping traits onto a phylogeny and evaluating alternative reconstructions of ancestral states and transitions. "MacClade 4.0: analysis of phylogeny and character evolution" (2001) described interactive tools for analyzing molecular and morphological data and exploring character evolution on trees.

What empirical measurements connect plant physiological diversity to evolutionary and ecological comparisons?

Direct measurements of water-transport variables provide comparable physiological traits that can be studied across taxa and environments. Scholander et al. (1965) in "Sap Pressure in Vascular Plants" described a method to measure xylem sap pressure and reported negative pressures during transpiration ranging from about −4 or −5 atmospheres in damp forest conditions to −80 atmospheres in desert conditions.

Open Research Questions

  • ? How can phylogeny-based classifications such as APG III and APG IV be systematically reconciled with conflicting signals across different datasets and inference methods (e.g., maximum likelihood vs. parsimony) when estimating deep angiosperm relationships?
  • ? Which partitioning strategies and model-selection criteria (as operationalized in "PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses") yield the most robust plant phylogenies when combining molecular and morphological matrices with different missing-data patterns?
  • ? How sensitive are downstream inferences of trait evolution to interactive reconstruction choices and uncertainty visualization approaches described in "MacClade 4.0: analysis of phylogeny and character evolution"?
  • ? What are the practical limits of usability-focused phylogenetic platforms ("Phylogeny.fr: robust phylogenetic analysis for the non-specialist" and "W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis") for ensuring reproducibility and consistent parameterization across large, collaborative plant systematics projects?

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