ArticleInternational journal of molecular sciences2024
GWAS Enhances Genomic Prediction Accuracy of Caviar Yield, Caviar Color and Body Weight Traits in Sturgeons Using Whole-Genome Sequencing Data.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Identification of Growth-Related SNPs and Genes Through Genome-Wide Association Studies in Pseudobagrus ussuriensis.Marine biotechnology (New York, N.Y.) · 2026Article
- Growth and Development Dynamic of the Lena Population Siberian Sturgeon (Animals : an open access journal from MDPI · 2026Article
- A Deep Autoencoder Compression-Based Genomic Prediction Method for Whole-Genome Sequencing Data.Biology · 2025Article
- Mendelian randomization analysis of immune cell traits and their association with cervical cancer risk.Discover oncology · 2025Article
- Genome-wide association study for feed efficiency indicator traits in Nellore cattle considering genotype-by-environment interactions.Frontiers in genetics · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
Caviar yield, caviar color, and body weight are crucial economic traits in sturgeon breeding. Understanding the molecular mechanisms behind these traits is essential for their genetic improvement. In this study, we performed whole-genome sequencing on 673 Russian sturgeons, renowned for their high-quality caviar. With an average sequencing depth of 13.69×, we obtained approximately 10.41 million high-quality single nucleotide polymorphisms (SNPs). Using a genome-wide association study (GWAS) with a single-marker regression model, we identified SNPs and genes associated with these traits. Our findings revealed several candidate genes for each trait: caviar yield:
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