Back

A Homology Guide for Pacific Salmon Genus Oncorhynchus resolves patterns of Duplicate Retention, Rediploidization and Local Adaptation Following the Salmonid Specific Whole Genome Duplication Event

Dimos, B.; Phelps, M.

2022-10-07 genomics
10.1101/2022.10.03.510689 bioRxiv
Show abstract

Salmonid fishes have emerged as a tractable model to study whole genome duplications (WGD) as this group has undergone four rounds of WGD, with a significant proportion of the genome yet to rediploidize. The fact that much of modern salmonid genomes retain duplicates from the most recent WGD while other regions have rediploidized creates complications for genetic studies by obscuring homology relationships and the necessity of filtering duplicate regions from many analyses. The difficulty this creates is particularly prominent in Pacific salmonids genus Oncorhynchus who are the focus of intense genetics-based conservation and management efforts owing to the important ecological and cultural role these fish play. To address this gap, we generated a homology guide for six species of Oncorhynchus with available genomes and used this guide to describe patterns of duplicate retention and rediploidization. Overall, we find that retained duplicates comprise over half of modern gene repertoires and that retained duplicate genes are enriched for genes involved in nuclear stability, while rediploidized genes which represent a smaller proportion of genes are heavily enriched in dosage sensitive processes such as mitochondria. Additionally, by reanalyzing published expression data from locally adapted strains of O. mykiss we demonstrate that retained duplicates are more likely to be associated with adaptive divergence than rediploidized genes, highlighting the potential of WGDs to promote adaptation. Finally, we demonstrate the utility of our homology guide by investigating the evolutionary relationship among genes highlighted as playing a role in salmonid life history traits or gene editing targets.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.