Genome characterisation of European freshwater crayfish
Abstract
Freshwater crayfish are an ecologically important group of decapod crustaceans with a vital role in freshwater ecosystems. Many of these species are, however, among the most threatened species worldwide, with declines and local extinction of many populations. Their conservation is therefore critical to mitigate the biodiversity loss and preserve the health of the entire ecosystem. Despite their important role, genomic resources are lacking due to the large and repeat-rich genomes. In this study I address this genomic gap by characterising the genome among freshwater crayfish families to inform management of threatened populations. Across Decapoda and freshwater crayfish species, I identified a large proportion of transposable elements (TE) and satellite DNA (satDNA). Freshwater crayfish species with large genomes showed a particularly large content of satDNA. Based on the analysis of TE and satDNA, I identified species-specific patterns with a phylogenetic signal. To improve repeat detection, a new annotation pipeline was developed that detected 10% more repeats than the commonly used approaches. I also propose an optimised long-read sequencing workflow based on a salting-out DNA extraction protocol combined with PacBio sequencing. A combination of amplification-based, and amplification-free library preparation strategies was used to produce high-quality long-read sequencing data sufficient for de novo assembly. Both presented methodological advancements reduce the difficulties of working with challenging genomes. I further used genomic data to inform conservation actions in the endangered Austropotamobius bihariensis. A ddRADseq dataset revealed low heterozygosity (0.149 – 0.331), few private alleles (0 – 12), and small effective populations sizes (
Fields of Study & Subjects
Chromosomal and Genetic Variations
Crustacean biology and ecology
Genomics and Phylogenetic Studies
Publication details
- Journal / source
- Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Thesis