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Fish Evo-Devo: Moving Toward Species-Specific and Knowledge-Based Interactome.

Ehsan Pashay Ahi1

  • 1Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.

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PubMed
Summary

Creating functionally validated interactomes is key for evolutionary developmental biology (Evo-Devo) research, especially in fish. This approach enhances understanding of gene regulation and evolutionary novelties in non-model species.

Keywords:
Evo‐Devofishgene regulatory networksknowledge‐based interactome

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Area of Science:

  • Evolutionary developmental biology (Evo-Devo)
  • Systems biology
  • Bioinformatics

Background:

  • Knowledge-based interactomes map cellular interactions using diverse data sources.
  • Interactomes are crucial for understanding cellular functions, pathways, and evolutionary conservation.
  • Functionally validated interactomes are essential for advancing Evo-Devo, particularly in non-model organisms.

Purpose of the Study:

  • To outline the logical steps for transitioning to functionally validated interactomes in fish Evo-Devo research.
  • To identify the necessities and limitations in creating and utilizing species-specific interactomes.
  • To enhance the understanding of complex regulatory interactions and evolutionary novelties in fish.

Main Methods:

  • Leveraging existing knowledge-based interactome data.
  • Integrating experimental data, computational predictions, and literature mining.
  • Focusing on high-throughput molecular data and genome annotation for fish models.

Main Results:

  • Highlighting the growing importance of fish models in Evo-Devo research.
  • Identifying advances in genomics and molecular screening that facilitate interactome construction.
  • Emphasizing the need for species-specific interactome creation and functional validation.

Conclusions:

  • The transition to functionally validated interactomes is a critical next step for fish Evo-Devo.
  • Developing species-specific interactomes will deepen insights into regulatory networks and trait evolution.
  • Addressing limitations and necessities will pave the way for robust interactome applications in Evo-Devo.