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The role of bioinformatics and omic data analysis in improving economic traits of aquatic animals
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Reza Nahavandi   , Sajad Pourmozaffar , Asad Abbaspour Anbi |
| Animal Science Research Institute of Iran (ASRI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran |
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Abstract: (25 Views) |
The rapid advancement of biological data generation technologies in the last two decades has paved the way for the widespread introduction of omics approaches (genomics, transcriptomics, proteomics, metabolomics, and metagenomics) into fisheries science. By generating large volumes of genomic and post-genomic data, these technologies enable the precise identification of molecular factors affecting important economic traits in aquatic animals, such as growth, feed conversion ratio, disease resistance, meat quality, survival, and adaptation to environmental stresses. However, the real value of these data becomes apparent when they are extracted, refined, and analyzed using appropriate bioinformatics tools and algorithms. Integrated and be interpreted. Bioinformatics and Integration Multi-mix with possibility Analysis Accurate and Improving Traits Economic factors such as growth rate, feed efficiency, disease resistance and fillet quality in key species including salmon, tilapia and shrimp have revolutionized aquaculture. High-throughput genomic resources, Profiling Transcription, Proteomics, Metabolomics, Genome-wide concordance study, Genomic selection and validation Crisper, genetic achievements two Up to Three Equal They are faster than traditional methods and allow for multigene architectures and interactions. Genes in the environment They pay. Intelligently combining omics data with bioinformatics analytical methods provides a powerful tool for improving the sustainability, productivity, and profitability of aquaculture systems Provided that long-term planning is followed by investment in infrastructure and training of specialized human resources. These strategies are promising. Creation Resistant strains reduce environmental impacts and increase profitability for global food security. |
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| Keywords: Multi-omic integration, genomics, bioinformatics, genomic selection, economic traits |
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Full-Text [PDF 929 kb]
(20 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2026/01/24 | Accepted: 2025/12/1 | Published: 2025/12/1
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