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Updated: Jul 17, 2025

An Intestinal Gut Organ Culture System for Analyzing Host-Microbiota Interactions
Published on: June 30, 2021
Host and microbiome jointly contribute to environmental adaptation
Carola Petersen1, Inga K Hamerich1, Karen L Adair2
1Department of Evolutionary Ecology and Genetics, Kiel University, Kiel, Germany.
Host-associated microbes, or microbiomes, are crucial for adaptation. This study shows that both host genetics and microbiome composition jointly influence how animal-microbe assemblages adapt to new environments.
Area of Science:
- Microbiology
- Evolutionary Biology
- Genomics
Background:
- Microbiomes, the microorganisms associated with hosts, are vital for essential functions.
- Host-microbiome assemblages (metaorganisms) have potential for adaptation, possibly faster than host genomes alone.
- The joint contribution of hosts and microbiomes to adaptation is not fully understood.
Purpose of the Study:
- To disentangle the contributions of hosts and microbiomes to metaorganism adaptation in a novel environment.
- To investigate how microbiome composition and host genetics interact during adaptation.
- To provide experimental evidence for joint host-microbiome adaptation.
Main Methods:
- Established replicate mesocosms with Caenorhabditis elegans and microorganisms in laboratory compost.
- Cultured populations for approximately 30 nematode generations (100 days).
- Utilized a common garden experiment to analyze microbiome composition, host genetics, and gene expression.
Main Results:
- Adaptation trajectories varied across mesocosm lines, with some increasing and others decreasing in fitness.
- Interactions between host and microbiome significantly influenced contrasting evolutionary paths.
- Specific changes in bacterial/fungal composition and nematode gene expression were linked to fitness changes.
Conclusions:
- Host and microbiome jointly influence adaptation to novel environments.
- Microbiome dynamics and host genetics interact to shape metaorganism evolution.
- This study provides a model system for dissecting host-microbiome co-adaptation.
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