ArticleBMC bioinformatics2010
Phylogenetic representativeness: a new method for evaluating taxon sampling in evolutionary studies.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Catalogue of fungi in China 6:Mycology · 2025Article
- Article
- Testing Phylogenetic Stability with Variable Taxon Sampling.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Primate phylogenetic relationships and divergence dates inferred from complete mitochondrial genomes.Molecular phylogenetics and evolution · 2014Article
- AST: an automated sequence-sampling method for improving the taxonomic diversity of gene phylogenetic trees.PloS one · 2014Article
- The complete mitochondrial genome of Solemya velum (Mollusca: Bivalvia) and its relationships with conchifera.BMC genomics · 2013Article
- Gastrotricha: a marine sister for a freshwater puzzle.PloS one · 2012Article
- A molecular phylogeny of bivalve mollusks: ancient radiations and divergences as revealed by mitochondrial genes.PloS one · 2011Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
backgroundTaxon sampling is a major concern in phylogenetic studies. Incomplete, biased, or improper taxon sampling can lead to misleading results in reconstructing evolutionary relationships. Several theoretical methods are available to optimize taxon choice in phylogenetic analyses. However, most involve some knowledge about the genetic relationships of the group of interest (i.e., the ingroup), or even a well-established phylogeny itself; these data are not always available in general phylogenetic applications.
resultsWe propose a new method to assess taxon sampling developing Clarke and Warwick statistics. This method aims to measure the "phylogenetic representativeness" of a given sample or set of samples and it is based entirely on the pre-existing available taxonomy of the ingroup, which is commonly known to investigators. Moreover, our method also accounts for instability and discordance in taxonomies. A Python-based script suite, called PhyRe, has been developed to implement all analyses we describe in this paper.
conclusionsWe show that this method is sensitive and allows direct discrimination between representative and unrepresentative samples. It is also informative about the addition of taxa to improve taxonomic coverage of the ingroup. Provided that the investigators' expertise is mandatory in this field, phylogenetic representativeness makes up an objective touchstone in planning phylogenetic studies.
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