ReviewJournal of fungi (Basel, Switzerland)2021
Accounting for the Biological Complexity of Pathogenic Fungi in Phylogenetic Dating.
Review in Journal of fungi (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Historic transposon mobilisation waves create distinct pools of adaptive variants in a major crop pathogen.Nature communications · 2025Article
- Antifungal resistance: Emerging mechanisms and implications (Review).Molecular medicine reports · 2025Review
- Genomic epidemiology describes introduction and outbreaks of antifungal drug-resistantnpj antimicrobials and resistance · 2024Article
- The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks ofFrontiers in public health · 2023Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the study of pathogen evolution, temporal dating of phylogenies provides information on when species and lineages may have diverged in the past. When combined with spatial and epidemiological data in phylodynamic models, these dated phylogenies can also help infer where and when outbreaks occurred, how pathogens may have spread to new geographic locations and/or niches, and how virulence or drug resistance has developed over time. Although widely applied to viruses and, increasingly, to bacterial pathogen outbreaks, phylogenetic dating is yet to be widely used in the study of pathogenic fungi. Fungi are complex organisms with several biological processes that could present issues with appropriate inference of phylogenies, clock rates, and divergence times, including high levels of recombination and slower mutation rates although with potentially high levels of mutation rate variation. Here, we discuss some of the key methodological challenges in accurate phylogeny reconstruction for fungi in the context of the temporal analyses conducted to date and make recommendations for future dating studies to aid development of a best practices roadmap in light of the increasing threat of fungal outbreaks and antifungal drug resistance worldwide.
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