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Biology subjects

Räsänen, E.

Publications and source records attributed to Räsänen, E..

3 recordsLinked to original sources

The effect of population size on adaptation to fluctuating temperatures

Climate change exposes populations to more frequent periods of extreme temperatures and faster temperature fluctuations. Theoretical models suggest that different types of adaptations should occur in constant versus fluctuating environments of varying frequency. Furthermore, evolutionary adaptation to one environment may weaken the adaptations to alternative environments due to antagonistically pleiotropic alleles. However, fitness trade-offs are rarely observed in experiments and it has been hypothesized that the number and severity of trade-offs evolving in fluctuating environments might depend on population size. To evaluate whether specific types of adaptations evolve at fluctuating temperatures and how population size affects the evolution of trade-offs, we performed an evolution experiment with fission yeast (Schizosaccharomyces pombe). The small and large populations evolved for 500 generations at constant and fluctuating temperatures, after which the evolved strains competed against ancestral strains in respective selection environments and in alternative environments to detect trade-offs. We observed significant adaptation and maladaptation only to constant heat, but not to fluctuating temperatures. Overall, the population size did not have significant effects on adaptation capacity or trade-offs in alternative environments. Our results suggest that constant extreme temperatures may act as stronger selective pressures than temperature variation and that trade-offs are unlikely to constrain adaptation to fluctuating temperatures.

evolutionary biology↗

Genome-wide association mapping for growth rate at fluctuating and extreme temperatures

Constant temperatures and fluctuations of varying frequency affect fitness differently, which has led to suggestions of distinct genetic architectures and adaptation strategies between constant and fluctuating thermal environments. However, very little is known about the possible fitness trade-offs and genetic constraints underlying thermal adaptation and how they affect species ability to confront climatic changes. We addressed this gap in knowledge by integrating quantitative genetics and genome-wide association mapping in the filamentous fungus Neurospora crassa. Growth rates were measured for 434 strains under fast and slow frequency fluctuations, at high and low temperature range with respect to the species tolerance, and at constant mean and extreme temperatures of these ranges. We found strong genetic correlations between fast and slow frequency fluctuations, and between fluctuations and their mean temperatures, but not with the highest extreme temperature. Positive correlations were supported by high heritability values, pointing that in N. crassa there are no significant trade-offs or genetic constraints in adaptation when variance in temperature increases. Altogether, our results indicated clearly polygenic basis of thermal tolerance, with most of the variation in overall performance (83 %), and clearly less in hot-cold trade-off (8 %), or heat stress tolerance (4 %). Interestingly, GWAS discovered many SNPs associated with growth rate only at constant temperatures or at fast and slow fluctuations at high and low thermal range. However, the cellular functions of the associated genes were overlapping, and no opposite allelic effects were found between treatments. Hence, large-effect loci indicated no trade-offs, but a shared physiology across temperatures, probably owing to the general stress response or individuals overall fitness.

evolutionary biology↗

Information transfer in QT-RR dynamics: Towards a model-free QT correction method

The relation between the electrical properties of the heart and the beating rate is essential for the heart functioning. This relation is central when calculating the \"corrected QT interval\" -- an important measure of the risk of potentially lethal arrhythmias. We use the transfer entropy method from information theory to quantitatively study the mutual dynamics of the ventricular action potential duration (the QT interval) and the length of the beat-to-beat (RR) interval. We show that for healthy individuals there is a strong asymmetry in the information transfer: the information flow from RR to QT dominates over the opposite flow (from QT to RR), i.e. QT depends on RR to a larger extent than RR on QT. Moreover, the history of the intervals has a strong effect on the information transfer: at sufficiently long QT history length the information flow asymmetry inverts and the RR influence on QT dynamics weakens. Finally, we demonstrate that the widely used QT correction methods cannot properly capture the changes in the information flows between QT and RR. We conclude that our results obtained through a model-free informational perspective can be utilised to improve and test the QT correction schemes in clinics.

biophysics↗