cafe5

cafe5 models changes in gene family sizes across phylogenetic trees to infer gene gain and loss dynamics and estimate birth and death rates for comparative genomics.

Key Features:

• Rate Variation Modeling: Incorporates gamma-distributed rate variation among gene families to account for heterogeneous evolutionary rates.
• Birth–Death Modeling with Phylogenetic Integration: Implements a stochastic birth and death process that models gene gain and loss and uses branch lengths from user-specified phylogenetic trees.
• Statistical Inference: Estimates global birth and death rates, reconstructs ancestral gene family sizes at internal nodes, and computes p-values to identify families with accelerated gain or loss.
• Performance Enhancements: Rewritten implementation with multithreading support for faster processing of large multispecies datasets.
• Genome-scale Comparative Analysis: Applicable to multispecies genome comparisons to detect large-scale patterns of gene family expansion and contraction.

Scientific Applications:

• Comparative Genomics: Assess evolutionary changes in gene families across lineages using modeled gain and loss events.
• Detection of Adaptive Evolution: Identify gene families with accelerated rates of gain or loss that may reflect adaptive evolution or selection.
• Ancestral State Reconstruction: Infer ancestral gene family sizes to study genomic changes at internal nodes of phylogenies.
• Functional Divergence and Genome Evolution: Explore how gene family dynamics contribute to functional divergence and genome architecture across species.

Methodology:

Employs a stochastic birth and death process model incorporating duplication and deletion rates, incorporates gamma-distributed rate variation among gene families, uses branch lengths from phylogenetic trees, and performs estimation of global birth and death rates, ancestral size reconstruction, and statistical testing with p-values.