Next-generation cophylogeny: unravelling eco-evolutionary processes

Area of Science:

• Evolutionary Biology
• Ecology
• Phylogenetics
• Symbiotic Interactions

Background:

• Understanding the link between microevolutionary processes and species diversification is a key challenge in evolutionary biology.
• Cophylogeny, the comparative analysis of phylogenetic trees of interacting species, has historically focused on pattern detection rather than mechanistic insights.
• Symbiotic associations offer a valuable system for studying coevolutionary dynamics.

Purpose of the Study:

• To advocate for the integration of ecological and evolutionary biology advances into cophylogeny.
• To transform cophylogeny from a pattern-discovery tool into a platform for understanding interspecific interactions and diversification.
• To propose a new quantitative framework for mechanistic cophylogenetic analysis.

Main Methods:

• Reviewing current directions in cophylogenetic research.
• Discussing the incorporation of trait reconstruction and network organization scales.
• Proposing a novel quantitative framework for integrating traits and mechanistic contributions.

Main Results:

• Identified key research directions for advancing cophylogeny.
• Highlighted recent developments enabling mechanistic cophylogenetic analyses.
• Proposed a quantitative framework to integrate diverse data for mechanistic insights.

Conclusions:

• Integrating ecological and evolutionary data is crucial for a mechanistic understanding of cophylogeny.
• This integrated approach can significantly advance the study of interspecific interactions and diversification.
• The proposed framework provides a quantitative basis for future cophylogenetic research.