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Updated: Mar 21, 2026

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
Published on: March 22, 2018
Extracting functional trends from whole genome duplication events using comparative genomics.
Russell A Hermansen1, Torgeir R Hvidsten2, Simen Rød Sandve3
1Department of Molecular Biology, University of Wyoming, Laramie, WY 82071 USA ; Center for Computational Genetics and Genomics and Department of Biology, Temple University, Philadelphia, PA 19122 USA.
Atlantic salmon experienced two whole genome duplications, leading to gene family changes. New methods analyze duplicate gene retention and expression divergence, enhancing functional inference from genomic data.
Area of Science:
- Genomics
- Evolutionary Biology
- Comparative Genomics
Background:
- Explosion of sequenced genomes, including those with whole genome duplication (WGD) events.
- Atlantic salmon (Salmo salar) genome has undergone two WGD events since divergence from amniotes.
- WGD leads to gene family expansion, followed by complex retention and loss patterns.
Purpose of the Study:
- To describe methods for characterizing duplicate gene retention after WGD.
- To present methods for analyzing gene expression divergence in duplicated genes.
- To apply these methods to Atlantic salmon and related species.
Main Methods:
- Development of methods to analyze duplicate gene retention across WGD and smaller-scale duplications.
- Utilizing gene expression divergence data for Atlantic salmon and pike.
- Methods for describing expression divergence patterns in duplicated genes.
Main Results:
- Characterization of duplicate gene retention interplay across multiple duplication events.
- Description of gene expression divergence in Atlantic salmon post-WGD.
- Application of developed methods to analyze genomic and functional data.
Conclusions:
- Expanding genomic and functional data enable enhanced functional inference from large-scale duplicates.
- Recently developed comparative methods improve inference for duplicated genes.
- The study describes novel methods for analyzing duplicate gene evolution and function.
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