Andy Foote

@andrewfoote.bsky.social

Evolutionary biologist using ancient and modern DNA to study evolution through time and space.

Three new evolutionary ecology PhD positions are open in Switzerland (Eawag, and Uni. Bern) to work on Greenland lake ecosystems. We are interested in how stickleback and copepods evolve, and how their evolution affects the trajectories of lake ecosystem development. apply.refline.ch/673277/1403/...

3 PhD positions in the fields of Evolutionary Ecology, Evolutionary Genomics, and Ecosystem Science

The Department of Fish Ecology & Evolution (FishEc) has vacancies for

apply.refline.ch

The first manuscript from my postdoc is out (doi.org/10.64898/202...)! We introduce 𝐭𝐢𝐦𝐞-𝐬𝐭𝐫𝐚𝐭𝐢𝐟𝐢𝐞𝐝 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 for studying population structure change over time, with the temporal resolution of Ancestral Recombination Graphs (ARGs). Joint with @jkpritch.bsky.social and @jeffspence.github.io. 1/n

Coalescent-Based Time-Stratified Statistics Reveal Population Structure Dynamics using the Ancestral Recombination Graph

Many questions in population genetics are concerned with reconstructing evolutionary history through time, such as inferring how population structure has changed throughout the past. Yet, many existing approaches have only an implicit temporal component, using quantities such as allele frequency or haplotype length as rough proxies for age. Recent advances in the inference of Ancestral Recombination Graphs (ARGs) have made it possible to estimate the entire sequence of local genealogies along the genome. These genealogies explicitly encode how samples are related to each other at different time points in the past, enabling the inference of how population structure has changed over time. To this end, recent work has used ARGs to define time-stratified versions of widely-used population genetics summary statistics in an attempt to capture the population structure present within a particular time window. Here, we show that naive approaches result in statistics that cannot be interpreted solely in terms of the population structure present within the time window they are targeting. To address this problem, we introduce a framework of coalescent-based time-stratified statistics, which use coalescence probabilities to partition classical summary statistics into interval-specific contributions. Using coalescent simulations, we demonstrate that these statistics accurately isolate population structure at different temporal depths and avoid spurious signals. Our results highlight the necessity of integrating coalescent theory into ARG-based temporal analyses and provide a principled and practical foundation for studying the dynamics of population structure through time. ### Competing Interest Statement The authors have declared no competing interest. National Human Genome Research Institute, https://ror.org/00baak391, R01HG014005

google.com

Happy to share my work with my advisor Zachary Szpiech! Why are associations between ROH & complex traits inconsistent across studies? We use realistic simulations to show how demographic history and genetic architecture interact to shape the phenotypic impact of ROH. www.biorxiv.org/content/10.6...

The Influence of Demographic History and Genetic Architecture on Complex Traits via Runs of Homozygosity

Runs of homozygosity (ROH) are contiguous genomic regions where all sites are homozygous, inherited from identical haplotypes due to shared ancestry. The number and length of ROH in individuals varies...

biorxiv.org

A new chromosome-level genome for Atlantic threespine stickleback (Gasterosteus aculeatus) was recently accepted! This high-quality assembly captures key regions like Pitx1/PeLa (underpinning repeated loss of the pelvic girdle and spines), enhancing studies on adaptation and ancient DNA. 1/2

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If you're @palaeogenomics.bsky.social #ICP2026 in Stockholm go see Theda's poster. Using metagenomic data from Laine et al. doi.org/10.1016/j.cu... initially generated to track adaption in threespine stickleback, Theda applies a rigourous damage-based assessment to track the microbial community.

Redirecting

doi.org

Theda Bartolomaeus@theda.bsky.social · 4mo ago

At #ICP2026 Come see my poster! Nr.165 I am looking at sediment cores where plants & animals have been investigated, BUT microbes got thrown out as contamination. I kept them, and asked: as an Arctic lake turned from marine to freshwater 13,000 years ago, did its microbial community follow? (1/2)

At #ICP2026 Come see my poster! Nr.165 I am looking at sediment cores where plants & animals have been investigated, BUT microbes got thrown out as contamination. I kept them, and asked: as an Arctic lake turned from marine to freshwater 13,000 years ago, did its microbial community follow? (1/2)