Age-Dependent Gut Microbiota Dynamics and Their Association with Male Life-History Traits in Drosophila melanogaster

Growing evidence suggests that the gut microbiota is closely intertwined with life-history evolution in a wide range of species, including well-studied model organisms like Drosophila melanogaster. Although recent studies have explored the relationship between gut microbiota and female life-history, the link between gut microbiota and male life-history remains relatively unexplored. In this study, we investigated how gut microbiota changes with male age as well as the associations between gut microbiota composition and male life-history traits in D. melanogaster. Using 22 isolines from the Drosophila melanogaster Genetic Reference Panel (DGRP), we measured lifespan, early/late-life reproduction, and early/late-life physiological performance. We characterized the gut microbiota composition in young (5 days old) and old (26 days old) flies using 16S rDNA sequencing. We observed substantial variation in both male life-history traits and gut microbiota composition across isolines and age groups. Using machine learning, we show that gut microbiota composition could predict the chronological age of the organisms with high accuracy. The most important species contributing to machine learning prediction belonged to the Acetobacter and Ralstonia genera. Associations between gut microbiota and life-history traits were also notable, particularly involving different species from the Acetobacter genus. Our findings suggest that taxa such as Acetobacter may be relevant to the evolutionary ecology of host-microbe interactions in male fruit flies.

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Publication Details

Journal
Microbial Ecology
Published
2025-11-24
DOI
https://doi.org/10.1007/s00248-025-02640-y
Primary Topic
Invertebrate Immune Response Mechanisms
Type
article
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article

Age-Dependent Gut Microbiota Dynamics and Their Association with Male Life-History Traits in Drosophila melanogaster

Berfin Dag, Handan Melike Dönertaş, Pau Carazo, Amparo Latorre et al.
Microbial Ecology
Invertebrate Immune Response Mechanisms
article

Age-Dependent Gut Microbiota Dynamics and Their Association with Male Life-History Traits in Drosophila melanogaster

Berfin Dag, Handan Melike Dönertaş, Pau Carazo, Amparo Latorre, José Ignacio Lucas‐Lledó, Zahida Sultanova, Prem Aguilar, Alain Hita
article en

Abstract

Growing evidence suggests that the gut microbiota is closely intertwined with life-history evolution in a wide range of species, including well-studied model organisms like Drosophila melanogaster. Although recent studies have explored the relationship between gut microbiota and female life-history, the link between gut microbiota and male life-history remains relatively unexplored. In this study, we investigated how gut microbiota changes with male age as well as the associations between gut microbiota composition and male life-history traits in D. melanogaster. Using 22 isolines from the Drosophila melanogaster Genetic Reference Panel (DGRP), we measured lifespan, early/late-life reproduction, and early/late-life physiological performance. We characterized the gut microbiota composition in young (5 days old) and old (26 days old) flies using 16S rDNA sequencing. We observed substantial variation in both male life-history traits and gut microbiota composition across isolines and age groups. Using machine learning, we show that gut microbiota composition could predict the chronological age of the organisms with high accuracy. The most important species contributing to machine learning prediction belonged to the Acetobacter and Ralstonia genera. Associations between gut microbiota and life-history traits were also notable, particularly involving different species from the Acetobacter genus. Our findings suggest that taxa such as Acetobacter may be relevant to the evolutionary ecology of host-microbe interactions in male fruit flies.

Microbial EcologyVol. 89(1)
University of East Anglia (GB), Universitat de València (ES), Universidade do Porto (PT), Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) (DE), Computational Physics (United States) (US), Institute for Integrative Systems Biology (ES), VIB-KU Leuven Center for Brain & Disease Research (BE), Friedrich Schiller University Jena (DE), KU Leuven (BE)
Openalex Percentile: Top 60%
Invertebrate Immune Response Mechanisms
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