Evidence map›Paper›PMID 41286179›Full record

ArticleMicrobial ecology2025

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

Zahida Sultanova, Handan Melike Dönertaş, Alejandro Hita, Prem Aguilar, Berfin Dag, José Ignacio Lucas-Lledo, Amparo Latorre, Pau Carazo

Abstract read
In one paragraph

Article in Microbial ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zahida SultanovaSchool of Biological Sciences, University of East Anglia, Norwich, UK. Zahida.Sultanova@uea.ac.uk.
Handan Melike DönertaşLeibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745, Jena, Germany. Melike.Donertas@leibniz-fli.de.
Alejandro HitaCavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, Valencia, Spain.
Prem AguilarCIBIO Research Centre in Biodiversity and Genetic Resources, InBIO, Universidade Do Porto, Porto, Portugal.
Berfin DagLaboratory of Computational Biology, VIB Center for AI & Computational Biology (VIB.AI), Louvain, Belgium.
José Ignacio Lucas-LledoCavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, Valencia, Spain.
Amparo LatorreInstitute for Integrative Systems Biology, University of Valencia-CSIC, Valencia, Spain.
Pau CarazoCavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, Valencia, Spain.

Funding

Carl-Zeiss-Stiftung P2021-00-007Leverhulme Trust ECF-2022-214Spanish Ministry of Economy and Competitivity CGL2014-58722-PSpanish Ministry of Economy and Competitivity PGC2018-099344-B-I00
6 · The paper itself

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.

Indexed as

BacteriaDrosophila melanogasterGastrointestinal MicrobiomeLife History TraitsAge FactorsAgingAnimalsFemaleLongevityMaleReproductionRNA, Ribosomal, 16SRNA, Ribosomal, 16SDrosophila melanogasterGut microbiotaLife-history evolution

Identifiers

PMID41286179
PMCPMC12743032

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.