The structural variation landscape in 492 Atlantic salmon genomes
Alicia C Bertolotti1,2, Ryan M Layer3,4, Manu Kumar Gundappa2
1School of Biological Sciences, University of Aberdeen, Tillydrone Avenue, Aberdeen, UK.
Nature Communications
|October 15, 2020
Summary
We developed a method for reliable structural variant (SV) discovery in Atlantic salmon, identifying 15,483 high-confidence SVs. These variants reveal insights into salmon genome evolution and domestication.
Area of Science:
- Genomics
- Evolutionary Biology
- Aquaculture
Background:
- Structural variants (SVs) are crucial for genetic diversity but are difficult to characterize in many species.
- Accurate SV typing is essential for understanding genome evolution and phenotypic variation.
Purpose of the Study:
- To develop a reliable method for structural variant discovery in non-model species.
- To characterize SVs in Atlantic salmon (Salmo salar L.) and investigate their role in evolution and domestication.
Main Methods:
- Whole genome sequencing of 492 Atlantic salmon individuals.
- Development and application of a novel approach for high-confidence SV discovery.
- Analysis of SV distribution, functional impact, and allele frequency changes.
Main Results:
- Identified 15,483 high-confidence SVs in Atlantic salmon.
- SVs accurately reflect population genetic structure and include an active DNA transposon.
- Discovered significant overlap between SVs and duplicated genes from an ancestral tetraploidization event.
- Observed changes in SV allele frequencies between wild and farmed salmon, indicating selection on behavioral traits.
Conclusions:
- The study provides a robust framework for SV discovery in non-model organisms.
- SVs play a significant role in Atlantic salmon genome evolution and the genetic basis of domestication traits.
- Domestication selection targets brain-expressed synaptic networks, with implications for human neurological disorders.
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