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Legume phylogeny and classification in the 21st century: Progress, prospects and lessons for other species–rich clades
Open accessAbstract
The Leguminosae, the third–largest angiosperm family, has a global distribution and high ecological and economic impor tance. We examine how the legume systematic research community might join forces to produce a comprehensive phylogenetic estimate for the ca. 751 genera and ca. 19,500 species of legumes and then translate it into a phylogeny–based classification. We review the current state of knowledge of legume phylogeny and highlight where problems lie, for example in taxon sampling and phylogenetic resolution. We review approaches from bioinformatics and next–generation sequencing, which can facilitate the production of better phylogenetic estimates. Finally, we examine how morphology can be incorporated into legume phylogeny to address issues in comparative biology and classification. Our goal is to stimulate the research needed to improve our knowledge of legume phylogeny and evolution; the approaches that we discuss may also be relevant to other species–rich angiosperm clades.
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Metadata
- Authors
- The Legume Phylogeny Working Group, Bruneau, A., Doyle, J. J., Herendeen, P., Hughes, C., Kenicer, G., Lewis, G., Mackinder, B., Pennington, R. T., Sanderson, M. J., Wojciechowski, M. F., Boatwright, S., Brown, G., Cardoso, D., Crisp, M., Egan, A., Fortunato, R. H., Hawkins, J., Kajita, T., Klitgaard, B., Koenen, E., Lavin, M., Luckow, M., Marazzi, B., McMahon, M. M., Miller, J. T., Murphy, D. J., Ohashi, H., de Queiroz, L. P., Rico, L., Särkinen, T., Schrire, B., Simon, M. F., Souza, E. R., Steele, K., Torke, B. M., Wieringa, J. J., & van Wyk, B.-E.
- Venue
- TAXON
- Publisher
- Wiley
- Published
- 2013-04
- Volume
- 62
- Issue
- 2
- Pages
- 217-248
- ISSN
- 0040-0262 (ISSN-L)
- 1996-8175
- OpenAlex
- W1510706323
- Cited by
- 437
- References
- 112
- FWCI
- 37.49
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.