Related Experiment Video
Updated: Jun 12, 2026
10:23
A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
Published on: July 11, 2025
Phylogenomics with incomplete taxon coverage: the limits to inference
Michael J Sanderson1, Michelle M McMahon, Mike Steel
1Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA. sanderm@email.arizona.edu
BMC Evolutionary Biology
|May 27, 2010
Summary
Missing data in phylogenomics can hinder tree resolution. This study introduces "decisiveness" as a criterion to assess if data patterns uniquely define a single phylogenetic tree, offering insights into data requirements for robust evolutionary inference.
Area of Science:
- Evolutionary Biology
- Genomics
- Bioinformatics
Background:
- Phylogenomic studies often suffer from missing data across loci and taxa.
- Distinguishing missing data effects from tree reconstruction errors is challenging.
- Decisiveness, a new criterion, assesses if taxon coverage uniquely defines a single phylogenetic tree.
Purpose of the Study:
- To theoretically bound the impact of missing data on phylogenomic decisiveness.
- To evaluate decisiveness for both fixed and randomly generated taxon coverage patterns.
- To estimate decisiveness probability and edge distinguishability when trees are not fully resolved.
Main Methods:
- Establish theoretical bounds for missing data's impact on decisiveness.
- Analyze fixed taxon coverage patterns and random data sampling processes.
- Illustrate theoretical findings with empirical examples from sequence databases and genomic libraries.
Main Results:
- Derived lower bounds on loci needed for decisiveness in fixed coverage patterns.
- Established lower and upper bounds for decisiveness in random data sampling.
- Quantified the probability of decisiveness and edge distinguishability for unresolved trees.
Conclusions:
- Partial taxon coverage can limit phylogenomic inference by preventing unique tree resolution.
- Despite typical sparseness in data sets, a significant portion of tree edges remain distinguishable.
- Decisiveness provides a framework for evaluating data quality in phylogenomic analyses.
Related Concept Videos
02:54Evolutionary Relationships through Genome Comparisons
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
01:28Microbial Phylogeny
Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
01:20Applications of Molecular Taxonomy
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
01:29Modern Molecular Taxonomy
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
02:05Gene Evolution - Fast or Slow?
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
In contrast, regions which code...
02:40The Tree of Life - Bacteria, Archaea, Eukaryotes
The “tree of life” describes the evolution of life and the evolutionary relationships between organisms. The root of the tree is the common ancestor to all life on Earth. All other species radiate from this point, much like the branches of a tree. The numerous tips of these branches on the tree of life represent every living, or extant, species. Extinct species, which are species that no longer exist, can be found towards the center of the tree. Currently, these organisms, both extant and...