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Shift in diversification in sister-clade comparisons: a more powerful test.
1Institut de Recherche pour le Développement, ISEM UMR 226/5554-UM2/CNRS/IRD, Jl. Taman Kemang 32B, Jakarta, Indonesia 12730. Emmanuel.Paradis@ird.fr
A new likelihood ratio test effectively detects shifts in diversification rates using sister-clade comparisons. This powerful statistical method outperforms existing tests, especially with limited data, aiding evolutionary biology research.
Area of Science:
- Evolutionary Biology
- Phylogenetics
- Biostatistics
Background:
- Sister-clade comparisons offer a method to test for diversification shifts without detailed phylogenetic data.
- Existing statistical tests for diversification shifts have limitations in power and robustness.
Purpose of the Study:
- To introduce and evaluate a novel likelihood ratio test for detecting shifts in diversification rates.
- To compare the performance of the new test against existing methods, including traditional and contrast-based tests.
Main Methods:
- Development of a new likelihood ratio test based on fitting two diversification models.
- Extensive simulations across diverse scenarios to assess test performance.
- Power analysis focusing on situations with a low number of sister-clade pairs.
Main Results:
- The proposed likelihood ratio test demonstrates superior performance compared to previous likelihood ratio tests and the traditional Slowinski and Guyer test.
- The new test performs comparably to species richness contrast tests but shows greater power with fewer than 10 sister-clade pairs.
- The test can detect diversification shifts with as few as five pairs of sister clades, a capability lacking in the diversity contrast test.
Conclusions:
- The new likelihood ratio test is a powerful and robust tool for identifying diversification shifts.
- This method is particularly recommended for studies with a limited number of sister-clade pairs.
- Existing tests lacking statistical power and robustness should be avoided in favor of the proposed method.

