Back

Tspecies, Rapid Optimization for Estimating Species Divergence Time Using Ks Distribution

Li, M.; Li, X.; Zhang, B.

2025-05-23 evolutionary biology
10.1101/2025.05.18.654758 bioRxiv
Show abstract

Ks distribution, the distribution of the synonymous substitutions, has been widely used to estimate the species divergence using orthologous genes. However, conventional approaches often ignore the underlying bias that species divergence is delayed to average gene divergence by 2Ne generations, where Ne represents the ancestral effective population size, due to the lack of scalable methods for Ne inference. Here, we demonstrate through simulations that Ks distribution variance correlates with Ne, enabling direct estimation of ancestral population parameters from standard Ks data. Leveraging this relationship, we present Tspecies, an R package that corrects divergence time estimates using only substitution rates and Ks distributions, without requiring additional genomic data. Our practical application of Tspecies in Liriodendron has inferred a divergence time between North American and East Asian lineages (3.49 Ma) that align with late Pliocene cooling, and a large ancestral Ne ([~]5 x 105) consistent with fossil evidence. By incorporating a readily estimated Ne, our tool resolves a long-standing bias in Ks-based dating while maintaining computational efficiency and broad applicability. Tspecies is freely available under an MIT license at https://github.com/limj0987/Tspecies.git.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.