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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
The origin and diversification of eukaryotes: problems with molecular phylogenetics and molecular clock estimation
1Canadian Institute for Advanced Research, Department of Biochemistry and Molecular Biology, Dalhousie University, Program in Evolutionary Biology Halifax, Nova Scotia, B3H 1X5 Canada. Andrew.Roger@Dal.Ca
Determining eukaryotic relationships and divergence times is challenging due to data limitations and analytical complexities. Accounting for errors reveals large confidence intervals, highlighting the need for better methods and fossil data for accurate evolutionary timelines.
Area of Science:
- Evolutionary Biology
- Molecular Phylogenetics
- Eukaryotic Diversity
Background:
- Establishing the evolutionary relationships and divergence times of major eukaryotic lineages is a long-standing challenge in evolutionary biology.
- Early ribosomal RNA (rRNA) gene phylogenies suggested complexity evolved early, but later analyses revealed artifacts in these trees.
- Current understanding, based on multiple genes, suggests six major eukaryotic groups, but their interrelationships and divergence timing remain uncertain.
Purpose of the Study:
- To re-analyze existing molecular clock datasets to assess the reliability of estimated eukaryotic divergence times.
- To identify sources of error in molecular dating and their impact on confidence intervals for divergence dates.
- To outline requirements for more accurate dating of early eukaryotic evolution.
Main Methods:
- Re-analysis of datasets from published molecular clock studies.
- Systematic evaluation of error sources in molecular divergence time estimation, including calibration fossils, tree topology, substitution models, and rate variation.
- Assessment of the impact of these errors on confidence intervals and the variability of estimated dates.
Main Results:
- When various error sources are properly accounted for, confidence intervals on inferred eukaryotic divergence dates become very large.
- Estimated divergence dates vary significantly depending on the specific methods and assumptions employed in molecular clock analyses.
- The reliability of current molecular clock estimates for deep eukaryotic divergences is limited by numerous potential biases.
Conclusions:
- Accurate dating of major eukaryotic lineage divergences requires a robust phylogenetic tree and improved calibration points.
- More sophisticated relaxed molecular clock methods and broader gene sampling across microbial eukaryotes are essential.
- A richer Proterozoic fossil record of microbial eukaryotes is crucial for reliable calibration of molecular clocks.
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