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Updated: Jun 25, 2025

Evaluation and Manipulation of Neural Activity Using Two-Photon Holographic Microscopy
Published on: September 16, 2022
A global initiative for ecological and evolutionary hologenomics
Aoife Leonard1, , Antton Alberdi1
1Center for Evolutionary Hologenomics (CEH), Globe Institute, University of Copenhagen, Øster Farimagsgade 5, 1353 Copenhagen, Denmark.
The Earth Hologenome Initiative (EHI) is a global project collecting hologenomic data from wild animals and their microbes. This research uses standardized methods to explore host-microbiota interactions for ecological and evolutionary insights.
Area of Science:
- Microbiology
- Ecology
- Evolutionary Biology
- Genomics
Background:
- The hologenome, encompassing the host genome and its associated microbial communities, is crucial for understanding life.
- Host-microbiota interactions play a significant role in ecological dynamics and evolutionary processes.
- A systemic approach is needed to analyze the complex interplay within the hologenome.
Purpose of the Study:
- To establish a global collaboration for generating and analyzing hologenomic data from wild animals.
- To develop and implement standardized methodologies for consistent and comparable data collection.
- To re-examine ecological and evolutionary questions through the lens of host-microbiota interactions.
Main Methods:
- Utilizing standardized methodologies for data generation and analysis.
- Focusing initially on vertebrate species to build a foundational dataset.
- Employing open and inclusive research principles to foster collaboration and data sharing.
Main Results:
- Generation of a comprehensive hologenomic dataset from diverse wild animal populations.
- Establishment of a global network for collaborative research on host-microbiota interactions.
- Development of novel analytical frameworks to study the hologenome.
Conclusions:
- The Earth Hologenome Initiative provides a robust framework for studying host-microbiota interactions.
- This initiative will advance our understanding of ecological and evolutionary processes from a systemic perspective.
- Standardized, open-science approaches are essential for large-scale biological data generation and analysis.
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