ReviewScience China. Life sciences2025
Role of multi-omics in aquaculture genetics and breeding: current status and future perspective.
Review in Science China. Life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Integrated Transcriptome and Methylome Analyses Reveal Sex-Specific Molecular Responses to Chronic Heat Stress in Tongue Sole (Animals : an open access journal from MDPI · 2026Article
- Chromosome-Level Genome Assembly of Dybowski's Frog (Animals : an open access journal from MDPI · 2026Article
- Creation of intermuscular bone-free genetic mutants in grass carp and multiomics reveals molecular regulatory basis.Science China. Life sciences · 2026Article
- Insights from adaptive immune regulation for disease resistance breeding in livestock and poultry.Science China. Life sciences · 2026Review
- Ultra-fast generation of all-female grass carp via transplantation of female germline stem cells into zebrafish.Science China. Life sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aquaculture, a fast-growing sector, plays an important role in the supply of nutrient-rich food for humans. Selective breeding is a promising approach to ensure the development and sustainability of intensive aquaculture systems by achieving cumulative and permanent improvements in desirable traits. The advancement of omics technologies offers unprecedented opportunities for genetic improvement, especially in the prioritization of SNPs to be used in the genomic selection and editing of economically important traits. This review highlights novel breeding strategies in aquaculture, emphasizing how multi-omics data can be integrated into selective breeding programs. Specifically, we discuss the current achievements in integrating functional data into conventional genomic prediction models and highlight the potential of artificial intelligence to efficiently map genes and predict phenotypes or genetic merit using multi-omics data. Ultimately, we discuss genome editing methods for their potential to fix existing alleles, introduce alleles from wild populations or related species, and create de novo alleles, with the general goal of improving commercially important traits in aquaculture species.
Indexed as
Identifiers
40448907What OpenQuestion holds
Registered trials
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 OpenQuestion graph.