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Nastia Lyulina

@alyulina.github.io

459 followers 261 following 19 posts

PhD student w/ Benjamin Good and Dmitri Petrov at Stanford University interested in evolutionary dynamics & somatic evolution alyulina.github.io

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Nastia Lyulina @alyulina.github.io · 06/11/2025

These two independent measurements allowed us to estimate both the cost and dominance of pesticide resistance: decline in exposed cages after pesticide removal requires a fitness cost, while persistence at low frequency in unexposed cages suggests low dominance.

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Nastia Lyulina @alyulina.github.io · 06/11/2025

Simultaneously inferring both parameters is generally difficult, especially for deleterious alleles. In our experiment, however, costly resistant alleles remained low in unexposed cages; in exposed cages, they rose in frequency with pesticide application and began to decline once it was removed.

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Nastia Lyulina @alyulina.github.io · 06/11/2025

How is functional variation at large-effect loci maintained in natural populations, even as environments change? In a paper led by @mkarag.bsky.social, we tracked known pesticide resistant alleles in outdoor 𝘋. 𝘮𝘦𝘭𝘢𝘯𝘰𝘨𝘢𝘴𝘵𝘦𝘳 cages & inferred selection and dominance from temporal sequencing data.

Glass beads of all sorts balancing on wavy threads.

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Nastia Lyulina @alyulina.github.io · 20/06/2025

Looking forward to #evolution2025! I will be talking about how time-varying demography and selection shape the site frequency spectrum — Saturday at 4:15 pm, Population Genetics Theory IV. Come say hi if you are around!

A schematic illustrating the allele frequency trajectories that contribute to a slice of the site frequency spectrum.

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Nastia Lyulina @alyulina.github.io · 06/11/2024

I am glad to see this work in print & on the cover! Read more at academic.oup.com/genetics/article/228/3/iyae145/7747749

Artist's depiction of mutant lineages rising and falling in frequency, influenced by selection, recombination, and genetic drift. In this issue, Lyulina et al. develop a mathematical framework for quantifying the statistical associations between these variants. Image courtesy of Anastasia Lyulina.

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Nastia Lyulina @alyulina.github.io · 19/04/2024

Our analytical results lead to several empirically relevant findings, e.g. that the dependence of homoplasy on the frequencies of the alleles can distinguish the effects of recombination from the confounding effects of recurrent mutation and epistasis.

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Nastia Lyulina @alyulina.github.io · 19/04/2024

We derive how these homoplasy measures 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.

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Nastia Lyulina @alyulina.github.io · 19/04/2024

In this work, we analyze an alternative class of two-locus statistics that quantify the homoplasy produced by recombination. These measures vanish in the absence of recombination and recurrent mutation and approach one in the limit of linkage equilibrium.

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Nastia Lyulina @alyulina.github.io · 19/04/2024

Interpreting these decay curves is notoriously difficult since the magnitude of these correlations is shaped by phenomena like epistasis and demography in addition to recombination (e.g. from @nanditagarud.bsky.social et al. – can recombination be behind the fast decay at short distances?).

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