Role of bioinformatics and omics data integration in improving aquaculture production traits

The rapid advancement of high-throughput biological data-generation technologies over the past two decades has driven the widespread adoption of omics approaches, including genomics, transcriptomics, proteomics, metabolomics, and metagenomics, in fisheries and aquaculture research. These technologies generate extensive molecular datasets that facilitate the identification of genetic and biochemical determinants underlying economically important production traits, such as growth performance, feed efficiency, disease resistance, flesh quality, survival, and environmental adaptability. However, the full value of these datasets depends on their effective processing, integration, and interpretation through advanced bioinformatics tools and analytical frameworks. Recent developments in bioinformatics and multi-omics integration have significantly enhanced the understanding of complex biological processes and accelerated genetic improvement programs in commercially important aquaculture species, including salmon, tilapia, and shrimp. The integration of genomic resources with transcriptomic, proteomic, and metabolomic analyses, together with genome-wide association studies, genomic selection, and genome-editing technologies, has improved the identification and validation of candidate genes and molecular pathways associated with key production traits. These advances have the potential to substantially increase breeding efficiency while providing deeper insights into polygenic architectures and gene–environment interactions. The strategic application of bioinformatics-driven multi-omics analyses offers a powerful framework for improving the sustainability, productivity, and profitability of modern aquaculture systems. Nevertheless, their successful implementation requires long-term investment in research infrastructure, computational resources, data management, and specialized human capacity. Collectively, these approaches provide promising opportunities for developing resilient aquatic stocks, reducing environmental impacts, and strengthening global food security.

کلیدواژه ها:

Bioinformatics ، multi-omics integration ، Genomics ، Genomic selection ، Genome-wide ، Association studies (GWAS) ، Aquaculture breeding ، Economic traits ، Precision aquaculture