bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.08.25.746822

The Genomic Landscape of Post-Black Death Epidemics in Northern Europe and the Caucasus

Abstract

One of the most devastating events in human history, the Black Death (c.1347-1353), marked the beginning of the Second Plague Pandemic. After initially receding, plague returned in intermittent outbreaks throughout Europe, beginning with the pestis secunda. Despite its significance, the post-Black Death epidemiology of Yersinia pestis remains poorly understood. Here, we report 23 new Y. pestis genomes recovered from Second Plague Pandemic contexts across Scandinavia, the Netherlands, Iceland, and Armenia, spanning approximately 270 years. Applying a reproducible mutation-filtering pipeline to assess genetic diversity, we report both Black Death and post-Black Death lineages and document multiple waves of plague at individual cemetery sites. We identify four pestis secunda genomes, including three from Armenia, supporting the eastward dissemination of this lineage prior to its disappearance from Europe. We also resolve a previously under-characterised Branch 1A sub-lineage of Y. pestis and provide the first genomic evidence of plague in Iceland, resolving longstanding uncertainty over its presence on the island. Finally, by calling variants against a reconstructed ancestral reference, we identify clade-defining mutations, including nonsynonymous changes in metabolic and biofilm-related genes with predicted structural effects that may have contributed to shaping the epidemiological dynamics of the Second Plague Pandemic.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ferguson, C. R., Vagene, A. J., Keller, M., Arcini, C. A., Altena, E., Lasso, G., Christophersen, A., Cinthio, M., Denham, S., Nielsen, S. D., Ebenesersdottir, S. S., Ellegaard, M. R., Gopalakrishnan, S., Helgason, A., Iraeta-Orbegozo, M., Lanigan, L. T., Liu, X., Loftus, E., Lunn, M. M. B., Margaryan, A., Moore, K., Philippsen, B., Schroeder, H., Simonyan, H., Khachatryan, Z., Swali, P., Tan, C. C., Yepiskoposyan, L., Frantz, L., Slavin, P., Balloux, F., Gilbert, M. T. P., van Dorp, L.. 2026-08-28. The Genomic Landscape of Post-Black Death Epidemics in Northern Europe and the Caucasus. https://doi.org/10.64898/2026.08.25.746822

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Generation of a transgenic cephalopod

Coleoid cephalopods (cuttlefish, octopus, and squid) are marine mollusks with elaborate nervous systems that support a diverse repertoire of complex behaviors. These include the neural control of the color, pattern, and texture of the skin, facilitating both adaptive camouflage and innate patterning that may reflect internal state. The development of transgenic cephalopods expressing fluorescent proteins, optogenetic actuators, and reporters of neural activity would contribute a new and important technology to cephalopod biology. The generation of transgenic cephalopods, however, has remained a major challenge. Here, we report the development of stable transgenic dwarf cuttlefish (Ascarosepion bandense) expressing ubiquitous nuclear-localized mScarlet, a red fluorescent protein. We evaluated multiple strategies for transgenesis, and established cuttlefish lines using both CRISPR and the transposons Sleeping Beauty and Minos. The stable expression of transgenes enabled live imaging of cell dynamics during embryonic development. The Minos transposon emerged as the most efficient transgenesis strategy and is adaptable to promoters and transgenes of choice. These strategies now enable the generation of diverse genetic tools for mechanistic studies of cephalopod biology.

genetics↗

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗