Mapping Phylogenetic Trees to Reveal Distinct Patterns of Evolution
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Abstract
UNLABELLED: Evolutionary relationships are frequently described by phylogenetic trees, but a central barrier in many fields is the difficulty of interpreting data containing conflicting phylogenetic signals. We present a metric-based method for comparing trees which extracts distinct alternative evolutionary relationships embedded in data. We demonstrate detection and resolution of phylogenetic uncertainty in a recent study of anole lizards, leading to alternate hypotheses about their evolutionary relationships. We use our approach to compare trees derived from different genes of Ebolavirus and find that the VP30 gene has a distinct phylogenetic signature composed of three alternatives that differ in the deep branching structure. KEY WORDS: phylogenetics, evolution, tree metrics, genetics, sequencing.
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The BLS phylogenies are closer to the reference than standard MSA approaches, according to Kendall-Colijn and Triplet distance metrics.
“Our phylogenetic similarity results, shown in Table 1 for two distance metrics, Kendall–Colijn37 and Triplet38 distance, indicate that the BLS phylogenies are closer to the reference than standard MSA approaches.”
From Improving microbial phylogeny with citizen science within a mass-market video game (2025) · cites this paper as [37]
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Miho, E., Yermanos, A., Weber, C. R., Berger, C. T., Reddy, S. T., & Greiff, V. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00224 · Cited by 189 · see citing works
Improving microbial phylogeny with citizen science within a mass-market video game
Sarrazin-Gendron, R., Ghasemloo Gheidari, P., Butyaev, A., Keding, T., Cai, E., Zheng, J., Mutalova, R., Mounthanyvong, J., Zhu, Y., Nazarova, E., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02175-6 · Cited by 9 · see citing works
- Authors
- Kendall, M., & Colijn, C.
- Affiliations
- Imperial College London (GB)
- Corresponding author
- Kendall, Michelle
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-06-24
- Volume
- 33
- Issue
- 10
- Pages
- 2735-2743
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- PMC
- PMC5026250
- OpenAlex
- W2472378828
- Cited by
- 134
- References
- 2
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 15 · 2023: 7 · 2022: 12 · 2021: 16 · 2020: 18 · 2019: 15 · 2018: 18 · 2017: 14 · 2016: 1
- FWCI
- 8.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Molecular Biology and Evolution (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, other-oa)
- Funders
- Engineering and Physical Sciences Research Council (EP/K026003/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- phylogenetic tree comparison, tree metrics, phylogenetic uncertainty, anoles, Ebolavirus
- MeSH terms
- Algorithms, Animals, Biological Evolution, Models, Genetic, Phylogeny, Statistics as Topic, Cluster Analysis, Evolution, Molecular
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