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Tilapia breeding program

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NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP638000
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This study aims to identify and characterize fast-growth and low-growth Nile tilapia families/strains reared in biofloc and non-biofloc systems in a Nile tilapia breeding program using DNA Barcoding, analyze genetic diversity, haplotype distribution, phylogenetic reconstruction, and describe connectivity between strains/families. To obtain more comprehensive data, transcriptomic analysis was used to compare transcriptome responses in the liver between fast- and low-growth tilapia strains. To verify the credibility of the RNAseq results, qPCR expression analysis was performed and filtered based on: (1) expression ability in two tissues, liver and muscle; (2) differences in expression between fast- and low-growth strains/groups; and (3) the presence of SSR, SNP, or MAS molecular markers. DNA molecular genetic markers for microsatellites and single nucleotide polymorphisms are helpful in breeding programs. In the future, this can accelerate molecular selection for fast-growth tilapia strains to increase the economic value of the tilapia industry.
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2025-11-01
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