Unlocking the genetic switches behind efficient feeding in aquaculture fish
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Unlocking the genetic switches behind efficient feeding in aquaculture fish

30/01/2026 TranSpread

By integrating long-read and short-read transcriptomics with whole-genome resequencing, the team uncovered specific transcript variants and genetic variations linked to superior feed utilization, providing new molecular targets and more efficient ways for fish breeding.

Feed is the largest cost component in aquaculture and also a major source of environmental pressure, making improvements in feed efficiency is a central goal for sustainable fish production. Feed efficiency describes an animal’s ability to convert dietary nutrients into body mass, and even modest gains generating substantial economic benefits while reducing nutrient waste discharged into aquatic ecosystems. Conventional indicators such as feed conversion ratio often obscure genetic variation because they are ratio-based, whereas residual feed intake (RFI) more accurately captures inherent differences in feed utilization. At the molecular level, AS enables a single gene to generate multiple transcript isoforms with distinct functions. However, how AS, together with genetic variants such as single nucleotide polymorphisms, contributes to feed efficiency in fish remains poorly understood.

A study (DOI: 10.48130/animadv-0025-0030) published in Animal Advances on 09 January 2026 by Yongkai Tang’s team, Chinese Academy of Fishery Sciences, demonstrates that AS, shaped by underlying genetic variation, is a key regulatory mechanism influencing feed efficiency in Jian carp, providing novel molecular insights and potential targets for breeding more efficient and sustainable aquaculture strains.

In this study, a multi-layered transcriptomic and genomic analysis was applied to investigate how AS and genetic variation are associated with feed efficiency differences between low residual feed intake (LRFI) and high residual feed intake (HRFI) Jian carp. First, AS events were systematically identified and classified from liver transcriptomes, revealing 23,997 AS events in the LRFI group and 23,938 in the HRFI group, with both groups showing similar AS profiles dominated by alternative 3′ splice sites and exon skipping, indicating that overall AS composition was conserved between efficiency phenotypes. Next, transcript expression was quantified across all samples, leading to the detection of 70,422 expressed transcripts. Clustering analysis based on transcript abundance largely separated LRFI and HRFI individuals, demonstrating distinct global transcriptional patterns associated with feed efficiency. Differential expression analysis further identified 200 differentially expressed transcripts, including 71 alternatively spliced transcripts derived from 64 differential alternative splicing genes (DASGs). Functional enrichment analyses of these DASGs showed their involvement in biological processes related to protein interaction and regulation, while pathway analysis highlighted metabolic and stress-related pathways, notably lysine degradation and fatty acid degradation, which are closely linked to feed utilization. Building on these results, detailed gene-level analyses focused on two key DASGs, acsl4a and Hadha. Structural and expression analyses revealed that functional splice variants of acsl4a were more highly expressed in efficient fish, whereas a specific Hadha isoform with distinct structural features was upregulated in inefficient fish, suggesting isoform-specific roles in lipid metabolism. These transcriptomic findings were largely validated by qRT-PCR, confirming the robustness of the expression patterns. Finally, whole-genome resequencing was used to characterize SNPs associated with DASGs, revealing that these genes harbored a higher proportion of splice-altering and missense SNPs than the genome-wide background, providing genomic evidence that genetic variation may influence feed efficiency through modulation of AS.

These findings provide a new perspective on the biological basis of feed efficiency in fish. By pinpointing specific alternatively spliced transcripts and associated SNPs, the study opens the door to molecular marker-assisted breeding for more efficient carp strains. Improved feed efficiency not only lowers production costs but also reduces nitrogen waste and environmental impacts, contributing to more sustainable aquaculture systems.

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References

DOI

10.48130/animadv-0025-0030

Original Source URL

https://doi.org/10.48130/animadv-0025-0030

Funding information

This study was supported by the Central Public Interest Scientific Institution Basal Research Fund CAFS (2024JBFR09), the earmarked fund for CARS (CARS-45), the Central Public Interest Scientific Institution Basal Research Fund CAFS (2023TD40), Hebei Province Modern Agriculture Industry Technology System Freshwater Aquaculture Innovation Team (HBCT2023230203), and the National Key Research and Development program (2022YFF0608203).

About Animal Advances

Animal Advances (e-ISSN 3065-7660) is an open-access journal which published by Maximum Academic Press in partnership with Nanjing Agricultural University. The journal is dedicated to delivering cutting-edge discoveries and progress in animal sciences to a diverse audience, encompassing scholars, academicians, and practitioners in the industry.

Title of original paper: The full-length transcriptome reveals alternative splicing events involved in regulating feed efficiency in Jian carp (Cyprinus carpio var. jian)
Authors: Yuanfeng Xu1, Yuxin Liu1, Wenqian Wang1, Zhihua Zhang2, Kemeng Jiang1, Jianlin Li1, Wenrong Feng1, Daniel Yohannes Sewo1 & Yongkai Tang1
Journal: Animal Advances
Original Source URL: https://doi.org/10.48130/animadv-0025-0030
DOI: 10.48130/animadv-0025-0030
Latest article publication date: 09 January 2026
Subject of research: Not applicable
COI statement: The authors declare that they have no competing interests.
Archivos adjuntos
  • Figure 4. The characteristics of the acsl4a and Hadha genes. (a) The exonic disparity of transcripts derived from acsl4a and Hadha. (b) The protein structural domains of different splice variants of acsl4a and Hadha. (c) The three-dimensional structure of Hadha_c and Hadha_d proteins.
30/01/2026 TranSpread
Regions: North America, United States, Asia, China
Keywords: Applied science, Engineering

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