Evidence map›Paper›PMID 42301501›Full record

ReviewFunctional & integrative genomics2026

Omics technologies in aquafeed: unlocking the black box towards systems biology.

Mustafa Öz, Enes Üstüner

Abstract readReview
In one paragraph

Review in Functional & integrative genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mustafa ÖzDepartment of Fisheries and Diseases, Faculty of Veterinary Medicine, Aksaray University, Aksaray, Türkiye. ozmustafa@aksaray.edu.tr.ORCID https://orcid.org/0000-0001-5264-7103
Enes ÜstünerDepartment of Fisheries and Diseases, Faculty of Veterinary Medicine, Aksaray University, Aksaray, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aquaculture industry is undergoing a critical transition from marine-based to plant-based and novel protein sources. However, the physiological impacts of these dietary shifts remain largely obscured when evaluated solely by traditional performance metrics such as Feed Conversion Ratio (FCR) and Specific Growth Rate (SGR). This 'Black Box' approach fails to detect sub-clinical metabolic disorders, gut dysbiosis, and molecular stress responses until phenotypic losses occur. This review provides a comprehensive synthesis of how omics technologies - nutrigenomics, proteomics, metabolomics, and metagenomics - are elucidating the molecular mechanisms underlying fish nutrition. We examine the capacity of transcriptomics to identify early markers of soybean meal-induced enteritis and the role of proteomics in assessing muscle quality beyond mere gene expression. Furthermore, we highlight the integration of these layers into a 'Systems Biology' approach, utilizing multi-omics and bioinformatics to unravel the complex diet-microbiota-host axis. Finally, the review discusses the transition towards 'Precision Aquafeed.' It identifies the current challenges in cost, data standardization, and bioinformatics that must be overcome to implement these high-throughput tools in commercial feed formulation.

Indexed as

AquacultureFishesSystems BiologyAnimal FeedAnimalsMetabolomicsMultiomicsNutrigenomicsProteomicsAlternative protein sourcesFish healthGut microbiomeMulti-omics integrationNutrigenomicsPrecision aquafeedSustainable aquacultureSystems biology

Identifiers

PMID42301501
PMCPMC13272259

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.