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bioRxiv · 10.1101/2025.06.04.657814

Influence of geography, seasonality and experimental selection on Chironomus riparius recombination rates

Nieto Blazquez, M. E.·Caliendo, C.·Pettrich, L. C.·Waldvogel, A.-M.·Pfenninger, M.
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Abstract

BackgroundUnderstanding recombination rates is crucial in evolutionary biology, as recombination shapes genetic diversity, natural selection, and adaptation. We investigated recombination rate variation in Chironomus riparius across different latitudes, seasons, and experimental treatments using Pool-seq data from five studies and the ReLERNN neural network-based method. We examined its relationship with genetic diversity, GC content, and FST, assessing causality through structural equation modeling. ResultsIn natural populations, recombination rates showed no clear latitudinal pattern, likely due to interactions between climate-driven selection and regional environmental heterogeneity. However, seasonal variation was evident, with higher recombination rates in autumn than winter, possibly due to temperature-induced plasticity or seasonal bottlenecks. A cold snap in March 2018 triggered a sharp recombination increase, potentially suggesting a stress-induced adaptive response. In experimental populations, thermal regimes had no direct effect on recombination, but adaptation to lab conditions was significant. Environmental stressors produced distinct responses: microplastic exposure reduced recombination genome-wide, likely due to stress-induced DNA repair prioritizing genome integrity, while cadmium exposure generally suppressed recombination. ConclusionsOur findings reveal recombination as a highly dynamic process influenced by environment, selection, and genetic background, underscoring the importance of the context in shaping genomic architecture under both natural and experimental conditions.

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Nieto Blazquez, M. E., Caliendo, C., Pettrich, L. C., Waldvogel, A.-M., Pfenninger, M.. 2025-06-07. Influence of geography, seasonality and experimental selection on Chironomus riparius recombination rates. https://doi.org/10.1101/2025.06.04.657814

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