Evidence map›Paper›PMID 41843121›Full record

ArticleMicrobial ecology2026

Rapid Genomic Adaptation of Drosophila Melanogaster to Wolbachia Elimination.

Wei-Hao Dou, Tian-Chu Li

Abstract read
In one paragraph

Article in Microbial ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Wei-Hao DouSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo, Shandong, 255000, China. douwh1226@163.com.
Tian-Chu LiCentral of Translational Medicine, Zibo Central Hospital, Zibo, Shandong, 255000, China. 18330219201@163.com.

Funding

Natural Science Foundation of Shandong Province ZR2024QC222Natural Science Foundation of Shandong Province ZR2024QC383
6 · The paper itself

Abstract

Symbionts can confer multifaceted fitness advantages to their hosts, thereby shaping host gene evolution. Wolbachia, the most prevalent intracellular bacteria in insects, modulates numerous host physiological traits and can induce cytoplasmic incompatibility between infected and uninfected individuals. While artificial trans-infection of Wolbachia into different hosts has been extensively studied, the adaptive evolution of naturally infected hosts after Wolbachia removal remains unclear. In this study, we treated Wolbachia-infected Drosophila melanogaster lineage with tetracycline to generate an uninfected line, maintaining the original infected line as the control. Both populations were subsequently reared under identical conditions for 69 generations. Two populations exhibited significant genomic divergence and mating discrimination, replicate parallel populations showed highly consistent differentiation patterns. Transposable elements and other non-coding genes underwent strong positive selection, and male-biased genes experienced heightened selective pressure. We further demonstrated that immune genes play a crucial role in Drosophila adaptation to Wolbachia loss, with immune traits exhibiting sex-specific evolutionary trajectories. Allelic differentiation at the odorant-binding protein genes Obp19b and Obp19c may underlie hybrid barriers between the two populations. Our results dissect how symbiont precipitates rapid, sex-specific genomic and behavioural change, providing a tractable model for symbiont-driven population divergence.

Indexed as

Adaptation, PhysiologicalDrosophila melanogasterWolbachiaAnimalsFemaleMaleSelection, GeneticSymbiosisTetracyclineTetracyclineAdaptationDrosophila melanogasterLaboratory evolutionSymbiontsWolbachia

Identifiers

PMID41843121
PMCPMC13046666

What OpenQuestion holds

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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 OpenQuestion graph.