Anastasia Lyulina
Ph.D. Student in Biology, admitted Autumn 2020
Honors & Awards
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Predoctoral Fellowship, Stanford Center for Computational, Evolutionary, and Human Genomics (2025-2026)
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Excellence in Teaching Award, Department of Biology, Stanford University (2024)
Education & Certifications
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B.Sc., Saint Petersburg Polytechnic University, Physics (2017)
All Publications
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Beneficial reversal of dominance maintains a large-effect resistance polymorphism under fluctuating insecticide selection.
Nature ecology & evolution
2025
Abstract
Large-effect standing genetic variation is commonly found in natural populations and must be maintained in the face of directional natural selection. Theory suggests that under fluctuating selective pressures, beneficial reversal of dominance-where alleles are dominant when beneficial and recessive when deleterious-can strongly stabilize large-effect polymorphisms. However, empirical evidence for this mechanism remains limited because testing requires measurements of selection and dominance in fitness in natural conditions. Here we investigate large-effect fitness polymorphisms at the Ace locus of Drosophila melanogaster that confer insecticide resistance and persist at intermediate frequencies worldwide. By combining laboratory and large-scale field mesocosm experiments with insecticide manipulation and mathematical modelling, we show that the benefits of the resistant Ace alleles are dominant in pesticide-rich environments, while their fitness costs are recessive in pesticide-free environments. We further show that temporally fluctuating insecticide selection generates chromosome-scale genomic perturbations at sites linked to the resistant Ace alleles. Overall, our results suggest that beneficial reversal of dominance under temporally fluctuating selection might plausibly contribute to the maintenance of functional genetic variation and, by stabilizing large frequency fluctuations, impact long-range patterns of genomic variation.
View details for DOI 10.1038/s41559-025-02853-x
View details for PubMedID 40954284
View details for PubMedCentralID 4222749
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Linkage equilibrium between rare mutations.
Genetics
2024
Abstract
Recombination breaks down genetic linkage by reshuffling existing variants onto new genetic backgrounds. These dynamics are traditionally quantified by examining the correlations between alleles, and how they decay as a function of the recombination rate. However, the magnitudes of these correlations are strongly influenced by other evolutionary forces like natural selection and genetic drift, making it difficult to tease out the effects of recombination. Here we introduce a theoretical framework for analyzing an alternative family of statistics that measure the homoplasy produced by recombination. We derive analytical expressions that predict how these statistics depend on the rates of recombination and recurrent mutation, the strength of negative selection and genetic drift, and the present-day frequencies of the mutant alleles. We find that the degree of homoplasy can strongly depend on this frequency scale, which reflects the underlying timescales over which these mutations occurred. We show how these scaling properties can be used to isolate the effects of recombination, and discuss their implications for the rates of horizontal gene transfer in bacteria.
View details for DOI 10.1093/genetics/iyae145
View details for PubMedID 39222343
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Electroporation of asymmetric phospholipid membranes.
The Journal of Physical Chemistry B
2014; 118 (33): 9909–9918
View details for DOI 10.1021/jp5028355
https://orcid.org/0000-0002-8450-9618