Optimizing growth and promoting metabolism: Live prey impact on Odontobutis potamophila larvae

This study investigated how different live prey affect the growth, body composition, and metabolism of Odontobutis potamophila larvae using transcriptomics and qPCR. Larvae were fed Daphnia magna (C), Limnodrilus hoffmeisteri (L), Hypophthalmichthys molitrix (H), or a mixed diet (M). Groups L and M showed significantly higher weight gain and specific growth rates than C and H ( P < 0.05). Group H had the highest crude fat and PUFAs, especially n-3 PUFAs, but the lowest MUFAs. Total amino acids were significantly higher in L and M. Lipase activity increased in C and M, indicating improved digestion. Transcriptomic analysis revealed enhanced oxidative phosphorylation and PPAR signaling in M, with upregulated genes related to lipid metabolism. These results show that live prey types influence larval growth, nutrient composition, and metabolic regulation, offering insights for optimized aquaculture feeding strategies. • Mixed prey boosts larval growth, yielding highest weight gain and growth rates. • Prey type dictates lipid profiles: H. molitrix elevates n-3 PUFAs; L. hoffmeisteri enriches amino acids. • Mixed diet activates oxidative phosphorylation/PPAR pathways, linked to lipid metabolism genes. • Diet-driven enzyme shifts: Daphnia elevates lipase; Limnodrilus /mix enhance trypsin.

Authors

Institutions

Publication Details

Journal
Aquaculture Reports
Published
2025-11-28
DOI
https://doi.org/10.1016/j.aqrep.2025.103260
Citations
1
Primary Topic
Aquaculture Nutrition and Growth
Type
article
Field-Weighted Citation Impact
2.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing growth and promoting metabolism: Live prey impact on Odontobutis potamophila larvae

Aileen Tan Shau Hwai, Mingming Han, Yi Juin Tay, Qichen Jiang et al.
1 citations
Aquaculture Reports
Aquaculture Nutrition and Growth
2.27
article

Optimizing growth and promoting metabolism: Live prey impact on Odontobutis potamophila larvae

Aileen Tan Shau Hwai, Mingming Han, Yi Juin Tay, Qichen Jiang, Guoxing Liu, Shuyan Ding, You Zheng, Chen Hao, Tian Zhu, Zihan Zhou
article en
1 citations

Abstract

This study investigated how different live prey affect the growth, body composition, and metabolism of Odontobutis potamophila larvae using transcriptomics and qPCR. Larvae were fed Daphnia magna (C), Limnodrilus hoffmeisteri (L), Hypophthalmichthys molitrix (H), or a mixed diet (M). Groups L and M showed significantly higher weight gain and specific growth rates than C and H ( P < 0.05). Group H had the highest crude fat and PUFAs, especially n-3 PUFAs, but the lowest MUFAs. Total amino acids were significantly higher in L and M. Lipase activity increased in C and M, indicating improved digestion. Transcriptomic analysis revealed enhanced oxidative phosphorylation and PPAR signaling in M, with upregulated genes related to lipid metabolism. These results show that live prey types influence larval growth, nutrient composition, and metabolic regulation, offering insights for optimized aquaculture feeding strategies. • Mixed prey boosts larval growth, yielding highest weight gain and growth rates. • Prey type dictates lipid profiles: H. molitrix elevates n-3 PUFAs; L. hoffmeisteri enriches amino acids. • Mixed diet activates oxidative phosphorylation/PPAR pathways, linked to lipid metabolism genes. • Diet-driven enzyme shifts: Daphnia elevates lipase; Limnodrilus /mix enhance trypsin.

Aquaculture ReportsVol. 45
Universiti Sains Malaysia (MY), Shandong Freshwater Fisheries Research Institute (CN)
Openalex Percentile: Top 9%
Aquaculture Nutrition and Growth
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.