Mokry, J. | bioRxiv Science

bioRxiv2026

Wolf microevolution in the melting pot: range expansion, population sympatry, dynamic mosaic admixture zone and asymmetric gene flow

Here we describe substantial range shifts of historically differentiated wolf populations and formation of novel sympatric zones during the recent decade in Central Europe. This region provides a natural laboratory for testing alternative scenarios of population interactions from continued isolation or restricted gene flow to progressive population fusion, while prompting a reassessment of their geographic ranges. Based on sampling across the Czech Republic and Slovakia obtained from large-scale monitoring programmes over five wolf years (2020/21_2024/25), complemented by comparative material from neighbouring regions, we analysed mitochondrial haplotypes, autosomal microsatellite genotypes and sex-linked loci. The Central European population with Baltic ancestry predominated across large parts of Central Europe including the Bohemian Massif with enclaves in the Western Carpathians. The Carpathian population was predominant in Slovakia, with a smaller satellite occurrence in the northern part of the Bohemian Massif. Alpine population was centred in the Alps but extended into southern parts of Bohemian Massif and Central German Uplands. Following the sporadic occurrence of admixed individuals, broad mosaic and dynamic sympatric zones have formed in the Czech Republic and Slovakia in the last decade. These scenarios could be facilitated by the presence of intermediate habitats and isolation of the Bohemian Massif structural basin, framed by a massive ring fault system. Recent-immigration estimates are asymmetric, with the largest mean contributions from the Alpine to the Central European population and from the Central European to the Carpathian population, with the second case potentially linked to source-sink dynamics driven by the hunting pressure within the Carpathian population (whereas the others are protected year-round). Whether increasing admixture will enhance viability of populations (that currently have small effective sizes) through genetic rescue or carry risks of outbreeding depression remains uncertain, highlighting the need for continued transboundary monitoring within conservation biology framework.

genetics↗

bioRxiv2020

Scalable production of tissue-like vascularised liver organoids from human PSCs.

A lack of physiological parity between 2D cell culture and in vivo, has paved the way towards more organotypic models. Organoids exist for a number of tissues, including the liver. However, current approaches to generate hepatic organoids suffer drawbacks, including a reliance on extracellular matrices (ECM), the requirement to pattern in 2D culture, costly growth factors and a lack of cellular diversity, structure and organisation. Current hepatic organoid models are generally simplistic, composed of hepatocytes or cholangiocytes, which renders them less physiologically relevant when compared to native tissue. Here we aim to address these drawbacks. To address this, we have developed an approach that does not require 2D patterning, is ECM independent combined with small molecules to mimic embryonic liver development that produces massive quantities of liver like organoids. Using single-cell RNA sequencing and immunofluorescence we demonstrate a liver-like cellular repertoire, a higher order cellular complexity, presenting with vascular luminal structures, innervation and a population of resident macrophage - the Kupffer cells. The organoids exhibit key liver functions including drug metabolism, serum protein production, coagulation factor production, bilirubin uptake and urea synthesis. The organoids can be transplanted and maintained in mice producing human albumin long term. The organoids exhibit a complex cellular repertoire reflective of the organ, have de novo vascularization and innervation, enhanced function and maturity. This is a pre-requisite for a myriad of applications from cellular therapy, tissue engineering, drug toxicity assessment, disease modeling, to basic developmental biology.

cell biology↗