Jul 2026· Frontiers in Fish Science· 0 citations· 106 references
TL;DR
Despite the challenges in standardization, cost, and large-scale validation, advances in artificial intelligence, portable analytics, and open access omics data bases are accelerating the translation of these technologies into practical feed innovation.
Abstract
The rapid expansion of aquaculture and the ongoing transition from marine derived feed ingredients have intensified the need for precise tools to evaluate alternative diet formulations. Traditional compositional analyses are increasingly insufficient for this purpose, as they lack the potential to capture molecular complexity of novel plant-based, insect based and single cell protein ingredients. High-throughput omics technologies like metabolomics, proteomics, transcriptomics, metagenomics, and epigenomics are filling the gaps by characterization of molecular interactions, including identification of bioactive phytochemicals, anti-nutritional factors, and quality markers. Then they are integrated with dynamic
in-vitro
gastrointestinal simulations systems, multi-omics data can support rational pre-selection of experimental functional feeds before animal trails, reducing cost and ethical burden.
In vivo
validation through controlled feeding trials, integrated with multi-omics analyses, then allows mechanistic elucidation of host-diet-microbiome interactions and systematic biomarkers discovery for feed efficiency assessment. Nutriepigenomics adds further dimensions by how early nutritional programming induces lasting epigenetics modifications in fish, with implications for long term diet assessment. Throughout, the extraordinary physiological diversity of teleosts in trophic strategy, gut morphology, and genomic resources imposes meaningful constraints on cross-species data interpretation that the field must acknowledge rigorously. Despite the challenges in standardization, cost, and large-scale validation, advances in artificial intelligence, portable analytics, and open access omics data bases are accelerating the translation of these technologies into practical feed innovation.
Through multi-omics integration, multi-omics approaches reveal nutrient differences driven by species, rearing practices, and processing techniques, identify protein patterns and allergen profiles, and construct adulteration detection fingerprints and species-specific peptide markers, thereby improving the timeliness a...
Combining improved feeding strategies, knowledge of gut microorganisms, biological analysis, and automated production could help produce insects with more predictable nutritional properties and support sustainable food and feed production, reduce organic waste, and strengthen circular and resource-efficient agricultura...
M. Ezzaitouni, Tarik Chileh Chelh, E. Belarbi et al.· Insects· 0 citations
BackgroundWhile global nutrition policies increasingly promote plant-based diets for environmental sustainability, this approach may implicitly assume biological homogeneity and overlook interindividual genetic variability in nutrient metabolism.AimThis review evaluates potential molecular bottlenecks and genetic varia...
Eren Terzioğlu, Indrani Kalkan· Nutrition and Health· 0 citations
The expanded microorganism-centered synthesis shows that dietary effects depend on microbial niche, substrate availability, community succession, metabolite production, and strain-specific probiotic or pathobiont activity.
Md. Hashibur Rahman, Hyuncheol Jeon, Haham Kim et al.· Microorganisms· 0 citations
This review outlines foundational applications of omics in aquaculture and highlights the characteristics and current applications of distinct omics approaches, and summarizes three core application domains of omics in aquaculture.
Chao Guo, De-Qi Sun, Ben Yang et al.· Fishes· 1 citation
BACKGROUND
The intensification of food production systems highlights the need for poultry gut health strategies aligned with One Health goals. Central to this is a balanced gut microbiota, which supports nutrient absorption, immunity, and disease resilience.
RESULTS
We applied integrative multi-omics, combining untar...
G. Pangga, A. Richmond, C. Hughes et al.· Animal Microbiome· 0 citations
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