Excited to share my first PhD project with my mentor, @johriparul.bsky.social! We examine how Hill–Robertson interference (HRI) in highly selfing species biases estimates of the distribution of fitness effects of new mutations (DFE). doi.org/10.1093/evol... @journal-evo.bsky.social #popgen #evobio - ThreadSky

About ThreadSky

Excited to share my first PhD project with my mentor, @johriparul.bsky.social! We examine how Hill–Robertson interference (HRI) in highly selfing species biases estimates of the distribution of fitness effects of new mutations (DFE).
https://doi.org/10.1093/evolut/qpae168
@journal-evo.bsky.social #popgen #evobio

Comments

adaigle.bsky.social•18 days ago

In simulated highly selfing populations, the DFE was mis-inferred by two unique DFE inference methods—nearly neutral and strongly deleterious mutations were overestimated, while mildly deleterious ones were underestimated.

adaigle.bsky.social•18 days ago

We hypothesized this mis-inference was caused by HRI, where linked deleterious mutations interact and reduce the efficacy of selection. The site frequency spectrum (SFS) had a U-shape at high selfing rates, a pattern often linked to HRI and not modeled by current DFE inference approaches.

adaigle.bsky.social•18 days ago

If HRI was the cause mis-inference, we’d expect it to be caused by the reduced levels of effective recombination in selfers. Indeed, when we ran simulations with lower recombination (but no selfing), we saw the same patterns of DFE mis-inference.

adaigle.bsky.social•18 days ago

These results highlight a key challenge for population-genetic analyses in highly selfing species or low-recombination genomic regions. Check out the paper for a deeper dive into other potentially relevant factors like beneficial mutations, dominance coefficients, and population structure!

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