Hierarchical genetic structure and implications for conservation of the world's largest salmonid, Hucho taimen

Population genetic analyses can evaluate how evolutionary processes shape diversity and inform conservation and management of imperiled species. Taimen (Hucho taimen), the world's largest freshwater salmonid, is threatened, endangered, or extirpated across much of its range due to anthropogenic activity including overfishing and habitat degradation. We generations genetic data using high throughput sequencing of reduced representation libraries for taimen from multiple drainages in Mongolia and Russia. Nucleotide diversity estimates were within the range documented in other salmonids, suggesting moderate diversity despite widespread population declines. Similar to other recent studies, our analyses revealed pronounced differentiation among the Arctic (Selenge) and Pacific (Amur and Tugur( drainages, suggesting historical isolation among these systems. However, we found evidence for finer-scale structure within the Pacific drainages, including inexpected differentiation between tributaries and the mainstem of the Tugur River. Differentiation across the Amur and Tugur basins together with coalescent-based demographic modeling suggest the ancestors of Tugur tributary taimen likely diverged int he easter Amur basin, prior to eventual colonization of the Tugur basin. Our results suggest the potential for differentiation of taimen at different geographic scales, and suggest more thorough geographic and genomic sampling many be needed to inform conservation and management of this iconic salmonid.

Identifier
Source https://data.blue-cloud.org/search-details?step=~012A9E9DFCCA44144B19A4C27F3C07A7E9F5ACA5B82
Metadata Access https://data.blue-cloud.org/api/collections/A9E9DFCCA44144B19A4C27F3C07A7E9F5ACA5B82
Provenance
Instrument Illumina HiSeq 2500; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science