Sturgeon conservation genomics: SNP discovery and validation using RAD sequencing

RAD Sequencing data for Ogden R, Gharbi K, Mugue N, Martinsohn J, Senn H, Davey JW, Pourkazemi M, McEwing R, Eland C, Vidotto M, Sergeev A, Congiu L (2012). Sturgeon conservation genomics: SNP discovery and validation using RAD sequencing. Molecular Ecology, special issue on Genotyping by Sequencing, in press. Abstract: Caviar-producing sturgeon belonging to the genus Acipenser are considered to be one of the most endangered species groups in the world. Continued over-fishing in spite of increasing legislation, zero catch quotas and extensive aquaculture production, have led to the collapse of wild stocks across Europe and Asia. The evolutionary relationships among Adriatic, Russian, Persian and Siberian sturgeon are complex because of past introgression events and remain poorly understood. Conservation management, traceability and enforcement suffer a lack of appropriate DNA markers for the genetic identification of sturgeon at the species, population and individual level. This study employed RAD sequencing to discover and characterise SNP DNA markers for use in sturgeon conservation in these four tetraploid species over three biological levels, using a single sequencing lane. Four population meta-samples and eight individuals from one family were barcoded separately before sequencing. Analysis of 14.4 Gb of paired-end RAD data focused on the identification of SNPs in the paired-end contig, with subsequent in silico and empirical validation of candidate markers. Thousands of putatively-informative markers were identified including, for the first time, SNPs that show population-wide differentiation between Russian and Persian sturgeon, representing an important advance in our ability to manage these cryptic species. The results highlight the challenges of GBS in polyploid taxa, while establishing the potential genetic resources for developing a new range of caviar traceability and enforcement tools.

Identifier
Source https://data.blue-cloud.org/search-details?step=~01252C0D182BE7CFD18EE5BF23260C08F7B4CDCBC1D
Metadata Access https://data.blue-cloud.org/api/collections/52C0D182BE7CFD18EE5BF23260C08F7B4CDCBC1D
Provenance
Instrument Illumina HiSeq 2000; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Contributor University of Edinburgh;ED
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Temporal Point 2012-09-18T00:00:00Z