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Updated: Jan 15, 2026

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Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
Published on: May 16, 2022
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Digest: Theoretical advances in studying selection via microbiome-mediated traits.
1Biology Department, University of Puerto Rico at Mayagüez, Mayagüez, Puerto Rico.
Evolution; International Journal of Organic Evolution
|October 7, 2025
Summary
Microbial transmission modes significantly influence host evolution by interacting with host life history traits. A quantitative genetic framework offers a more accurate understanding of host-microbiome dynamics than siloed data analyses.
Area of Science:
- Evolutionary biology
- Microbiome research
- Quantitative genetics
Background:
- Microbes associated with multicellular hosts play a crucial role in host evolution.
- Understanding the mechanisms and mediating factors of these contributions is essential.
- The mode of microbial transmission is a key factor influencing host-microbiome interactions.
Purpose of the Study:
- To develop a theoretical framework for understanding how microbes contribute to host evolution.
- To investigate the role of microbial transmission modes in mediating these evolutionary contributions.
- To compare the efficacy of quantitative genetic frameworks versus correlative analyses in studying host-microbiome dynamics.
Main Methods:
- Development of a theoretical framework.
- Computer simulations to model host-microbiome evolutionary dynamics.
- Analysis of how microbial transmission mode interacts with host life history.
Main Results:
- Microbial transmission mode can have diverse effects on host evolution.
- These effects are contingent upon and interact with host life history characteristics.
- Simulations demonstrated the significant impact of transmission mode.
Conclusions:
- A quantitative genetic framework provides a more accurate understanding of organismal evolution in the context of host-microbiome dynamics.
- This approach surpasses the limitations of correlative analyses on siloed datasets.
- The study expands the potential for understanding complex host-microbiome evolutionary interactions.
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