Biology subjects

Thorburn, D.-M. J.

Publications and source records attributed to Thorburn, D.-M. J..

2 recordsLinked to original sources

bioRxiv2024

Chromosome-level genome assembly and methylome profile enables insights for the conservation of endangered loggerhead sea turtles

BackgroundCharacterising genetic and epigenetic diversity is crucial for assessing the adaptive potential of populations and species. Slow-reproducing and already threatened species, including endangered sea turtles, are particularly at risk. Those species with temperature-dependent sex determination (TSD) have heightened climate vulnerability, with sea turtle populations facing feminisation and extinction under future climate change. High- quality genomic and epigenomic resources will therefore support conservation efforts for these flagship species with such plastic traits. FindingsWe generated a chromosome-level genome assembly for the loggerhead sea turtle (Caretta caretta) from the globally important Cabo Verde rookery. Using Oxford Nanopore Technology (ONT) and Illumina reads followed by homology-guided scaffolding, we achieved a contiguous (N50: 129.7 Mbp) and complete (BUSCO: 97.1%) assembly, with 98.9% of the genome scaffolded into 28 chromosomes and 29,883 annotated genes. We then extracted the ONT-derived methylome and validated it via whole genome bisulfite sequencing of ten loggerheads from the same population. Applying our novel resources, we reconstructed population size fluctuations and matched them with major climatic events and niche availability. We identified microchromosomes as key regions for monitoring genetic diversity and epigenetic flexibility. Isolating 191 TSD-linked genes, we further built the largest network of functional associations and methylation patterns for sea turtles to date. ConclusionsWe present a high-quality loggerhead sea turtle genome and methylome from the globally significant East Atlantic population. By leveraging ONT sequencing to create genomic and epigenomic resources simultaneously, we showcase this dual strategy for driving conservation insights into endangered sea turtles.

genomics↗

bioRxiv2023

Origin Matters: Using a Local Reference Genome Improves Measures in Population Genomics

Genome-level sequencing enables us to ask fundamental questions about the genetic basis of adaptation, population structure, and epigenetic mechanisms, but usually requires a suitable reference genome for mapping population-level re-sequencing data. In some model systems, multiple reference genomes are available, giving researchers the challenging task of determining which reference genome best suits their data. Here we compare the use of two different reference genomes for the three-spined stickleback (Gasterosteus aculeatus), one novel genome derived from a European gynogenetic individual and the published reference genome of a North American individual. Specifically, we investigate the impact of using a local reference versus one generated from a distinct lineage on several common population genomics analyses. Through mapping genome resequencing data of 60 sticklebacks from across Europe and North America, we demonstrate that genetic distance among samples and the reference impacts downstream analyses. Using a local reference genome increased mapping efficiency and genotyping accuracy, effectively retaining more and better data. Despite comparable distributions of the metrics generated across the genome using SNP data (i.e., {pi}, Tajimas D, and FST), window-based statistics using different references resulted in different outlier genes and enriched gene functions. A marker-based analysis of DNA methylation distributions had a comparably high overlap in outlier genes and functions, yet with distinct differences depending on the reference genome. Overall, our results highlight how using a local reference genome decreases reference bias to increase confidence in downstream analyses of the data. Such results have significant implications in all reference-genome-based population genomic analyses.

bioinformatics↗