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Ilsley, G. R.

Publications and source records attributed to Ilsley, G. R..

2 recordsLinked to original sources

The epigenomic landscape of deep lineage divergence: The case of the European sea bass

BackgroundUnderstanding the role of non-coding genomic variation in speciation remains a major challenge in evolutionary biology. Here, we investigated whether regulatory elements contribute to this process between Atlantic and Mediterranean lineages of European sea bass (Dicentrarchus labrax), a well-characterized case-study near speciation where barriers to introgression exist in the presence of connectivity between diverging populations. ResultsWe generated a novel, highly contiguous genome assembly, which was annotated at the epigenomic level using ATAC-seq and ChIP-seq with six embryonic developmental stages and five tissue types in adult fish, identifying thousands of promoters, enhancers, and open chromatin regions. Integrating this annotation with whole-genome sequence data from 65 individuals across three geographically distinct populations, we identified 57,505 outlier SNPs and 332 structural variants (SVs) showing elevated differentiation between Atlantic and East Mediterranean lineages. Outlier SVs affected key regulatory elements and coding genes, while outlier SNPs were enriched in regulatory elements, particularly enhancers active in adult tissues. Local genomic divergence correlated positively with regulatory element density, especially on chromosomes 1, 9, and 18, which are enriched in genes related to osmoregulation, immune response, and oxidative stress -- processes relevant to adaptation across contrasting marine environments. ConclusionsThese findings support a major role for regulatory variation in driving deep lineage divergence through local adaptation.

evolutionary biology↗

Identifying developmentally important genes with single-cell RNA-seq from an embryo

Single-cell RNA-seq has been established as a reliable and accessible technique enabling new types of analyses, such as identifying cell types and studying spatial and temporal gene expression variation and change at single-cell resolution. Recently, single-cell RNA-seq has been applied to developing embryos, which offers great potential for finding and characterising genes controlling the course of development along with their expression patterns. In this study, we applied single-cell RNA-seq to the 16-cell stage of the Ciona embryo, a marine chordate and performed a computational search for cell-specific gene expression patterns. We recovered many known expression patterns from our single-cell RNA-seq data and despite extensive previous screens, we succeeded in finding new cell-specific patterns, which we validated by in situ and single-cell qPCR.

developmental biology↗