Biology subjects

Pickup, M.

Publications and source records attributed to Pickup, M..

4 recordsLinked to original sources

bioRxiv2026

Generation, Characterization and Comparison of Ovine Induced Pluripotent and Embryonic-Disc Stem Cells

Pluripotent stem cells derived from livestock species represent valuable systems for studying early mammalian development and for establishing renewable, well-defined cell sources; however, direct comparative characterization of distinct pluripotent stem cell platforms in sheep remains limited. In this study, we established and evaluated two ovine pluripotent stem cell types: reprogrammed induced pluripotent stem cells (siPSCs) and embryonic disc-derived stem cells (sEDSCs). Both siPSCs and sEDSCs exhibited core features of pluripotency, including compact colony morphology, alkaline phosphatase activity, expression of key pluripotency-associated markers, and maintenance of a normal ovine karyotype. Flow cytometry and quantitative RT-PCR analyses revealed broadly overlapping yet distinguishable pluripotency marker expression profiles between the two cell types. Functional pluripotency was confirmed by embryoid body formation and in vitro differentiation into derivatives of all three germ layers. To further assess lineage-specific differentiation competence and compare functional outputs relevant to mesodermal differentiation, both pluripotent stem cell types were directed towards the adipogenic lineage. While siPSCs and sEDSCs were each capable of adipogenic differentiation, differences in differentiation efficiency and marker expression were observed. Together, these findings demonstrate that ovine siPSCs and sEDSCs share core pluripotency characteristics while retaining distinct molecular and functional properties, providing a robust comparative framework for studies of ovine pluripotency, lineage specification, and stem cell biology.

cell biology↗

bioRxiv2025

Genome-wide cline analysis identifies new locus contributing to a barrier to gene flow across an Antirrhinum hybrid zone

Identification of the genomic regions that contribute to reproductive isolation and how they interact is a major goal of evolutionary genetics. Much effort has focused on locating candidate genes and potential barrier loci by scanning genomes for regions of excess differentiation (FST). An alternative, and perhaps more robust approach, would be to scan for genomic regions exhibiting steep clines in allele frequency across a hybrid zone. Here we develop this approach and apply it to genomic data from across a hybrid zone between varieties of Antirrhinum majus subspecies majus with different flower colour patterns (A. m. m var. pseudomajus and A. m. m var. striatum). Most steep clines are clustered in seven genomic regions, only four of which were present from FST scans between all pair-wise comparisons. Six of these regions carry previously identified loci that influence flower colour in the hybrid zone. The seventh region harbours a novel locus, RUBIA, modifying magenta intensity. Clines at RUBIA approached towards fixation on magenta side of the hybrid zone, whilst remaining polymorphic on the yellow side. This polymorphism on the yellow side may reflect a smaller phenotypic effect of RUBIA in yellow compared to magenta genetic backgrounds. Our findings illustrate how whole-genome cline scans in hybrid zones can robustly detect genomic regions contributing to phenotypic differences and highlight how different reproductive barrier loci interact across the genome.

evolutionary biology↗

bioRxiv2020

Estimating inbreeding and its effects in a long-term study of snapdragons (Antirrhinum majus)

Many studies have quantified the distribution of heterozygosity and relatedness in natural populations, but surprisingly few have examined the demographic processes driving these patterns. In this study we take a novel approach by studying how population structure affects both pairwise identity and the distribution of heterozygosity in a natural population of a self-incompatible plant Antirrhinum majus. We look at a measure of the variance in heterozygosity within a population, identity disequilibrium (g2), together with FST using a panel of 91 SNPs in 22,353 individuals collected over 11 years. We find that pairwise relatedness (FST) declines rapidly over short spatial scales, and the excess variance in heterozygosity between individuals (g2) reflects significant variation in inbreeding. Additionally, we detect an excess of individuals with around half the average heterozygosity, indicating that some are due to selfing or matings between close relatives. We use two types of simulation to ask whether variation in heterozygosity is consistent with fine-scale spatial population structure. First, by simulating offspring using parents drawn from a range of spatial scales, we show that the known pollen dispersal kernel explains g2. Second, we simulate a 1000-generation pedigree using the known dispersal and spatial distribution and find that the resulting g2 is consistent with that observed from the field data. In contrast, a simulated population with uniform density underestimates g2, indicating that heterogeneous density promotes identity disequilibrium. Our study shows that heterogeneous density and leptokurtic dispersal can together explain the distribution of heterozygosity. Furthermore, our study highlights the limitations of making theoretical predictions from simulations that only assume simple density and dispersal distributions.

evolutionary biology↗

bioRxiv2018

Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system

Self-incompatibility (SI) is a genetically based recognition system that functions to prevent self-fertilization and mating among related plants. An enduring puzzle in SI is how the high diversity observed in nature arises and is maintained. Based on the underlying recognition mechanism, SI can be classified into two main groups: self- and non-self recognition. Most work has focused on diversification within self-recognition systems despite expected differences between the two groups in the evolutionary pathways and outcomes of diversification. Here, we use a deterministic population genetic model and stochastic simulations to investigate how novel S-haplotypes evolve in a gametophytic non-self recognition (SRNase/S Locus F-box (SLF)) SI system. For this model the pathways for diversification involve either the maintenance or breakdown of SI and can vary in the order of mutations of the female (SRNase) and male (SLF) components. We show analytically that diversification can occur with high inbreeding depression and self-pollination, but this varies with evolutionary pathway and level of completeness (which determines the number of potential mating partners in the population), and in general is more likely for lower haplotype number. The conditions for diversification are broader in stochastic simulations of finite population size. However, the number of haplotypes observed under high inbreeding and moderate to high self-pollination is less than that commonly observed in nature. Diversification was observed through pathways that maintain SI as well as through self-compatible intermediates. Yet the lifespan of diversified haplotypes was sensitive to their level of completeness. By examining diversification in a non-self recognition SI system, this model extends our understanding of the evolution and maintenance of haplotype diversity observed in a recognition system common in flowering plants.

evolutionary biology↗