Effects of High-Flow-Velocity Stress on Energy Metabolism and Transcription Level of Triplophysa orientalis

River channel development and hydraulic engineering alter natural flow-velocity patterns, subjecting <i>Triplophysa orientalis</i> to heightened hydrodynamic stress and energy expenditure in high-flow-velocity habitats. Regulating the molecular regulatory mechanisms underlying their adaptation to high-flow velocities provides a basis for species conservation and habitat optimization. Fish were exposed for 3 days to a normal flow velocity (3 BL/s) or a high flow velocity (33 BL/s) in a controlled circular swimming system that maintained a stable current without a deliberate low-flow velocity refuge; fish at 33 BL/s sustained upstream swimming throughout the exposure. RNA-seq differential expression analysis and GO/KEGG enrichment were performed on harvested skeletal muscle, with key genes validated via qPCR. A total of 78 differentially expressed genes (DEGs) were identified between the high-flow-velocity group and the normal-flow-velocity group, including 55 up-regulated genes and 23 down-regulated genes. GO and KEGG analyses revealed that the DEGs were predominantly enriched in mitochondrial energy metabolism and neural regulation, notably oxidative phosphorylation, and were further linked to FoxO and IL-17 signaling. Compared to the normal-flow-velocity group, the high-flow-velocity group exhibited significant down-regulation of multiple oxidative phosphorylation-related subunits, including <i>Mt-co1</i>, <i>Mt-co2</i>, <i>Mt-co3</i>, <i>Mt-nd1</i>, <i>Mt-nd2</i>, <i>Mt-nd4</i>, <i>Mt-nd5</i>, and <i>Mt-atp6</i>. Concurrently, stress response-related genes, such as <i>Selenop</i>, <i>GADD45B</i>, and <i>SIK2</i>, showed a down-regulation trend. These transcriptional changes are consistent with reduced expression of genes involved in antioxidant defense and cellular protection under high-flow conditions, integrating differential-expression and pathway-enrichment results. This decline correlates with the down-regulation of genes associated with antioxidant and stress regulation. Pathways related to energy metabolism show significant enrichment, suggesting enhanced regulation of energy supply and allocation. This pattern indicates metabolic reprogramming characteristics adapted to high-flow-velocity stress.

Authors

Institutions

Publication Details

Journal
Biology
Published
2026-02-14
DOI
https://doi.org/10.3390/biology15040331
Primary Topic
Physiological and biochemical adaptations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of High-Flow-Velocity Stress on Energy Metabolism and Transcription Level of Triplophysa orientalis

Yifeng Jiang, Shunlong Meng, Zhongquan Jiang, Xin Gao et al.
Biology
Physiological and biochemical adaptations
article

Effects of High-Flow-Velocity Stress on Energy Metabolism and Transcription Level of Triplophysa orientalis

Yifeng Jiang, Shunlong Meng, Zhongquan Jiang, Xin Gao, Chao Song, Liping Qiu, Hui Wan
article en

Abstract

River channel development and hydraulic engineering alter natural flow-velocity patterns, subjecting <i>Triplophysa orientalis</i> to heightened hydrodynamic stress and energy expenditure in high-flow-velocity habitats. Regulating the molecular regulatory mechanisms underlying their adaptation to high-flow velocities provides a basis for species conservation and habitat optimization. Fish were exposed for 3 days to a normal flow velocity (3 BL/s) or a high flow velocity (33 BL/s) in a controlled circular swimming system that maintained a stable current without a deliberate low-flow velocity refuge; fish at 33 BL/s sustained upstream swimming throughout the exposure. RNA-seq differential expression analysis and GO/KEGG enrichment were performed on harvested skeletal muscle, with key genes validated via qPCR. A total of 78 differentially expressed genes (DEGs) were identified between the high-flow-velocity group and the normal-flow-velocity group, including 55 up-regulated genes and 23 down-regulated genes. GO and KEGG analyses revealed that the DEGs were predominantly enriched in mitochondrial energy metabolism and neural regulation, notably oxidative phosphorylation, and were further linked to FoxO and IL-17 signaling. Compared to the normal-flow-velocity group, the high-flow-velocity group exhibited significant down-regulation of multiple oxidative phosphorylation-related subunits, including <i>Mt-co1</i>, <i>Mt-co2</i>, <i>Mt-co3</i>, <i>Mt-nd1</i>, <i>Mt-nd2</i>, <i>Mt-nd4</i>, <i>Mt-nd5</i>, and <i>Mt-atp6</i>. Concurrently, stress response-related genes, such as <i>Selenop</i>, <i>GADD45B</i>, and <i>SIK2</i>, showed a down-regulation trend. These transcriptional changes are consistent with reduced expression of genes involved in antioxidant defense and cellular protection under high-flow conditions, integrating differential-expression and pathway-enrichment results. This decline correlates with the down-regulation of genes associated with antioxidant and stress regulation. Pathways related to energy metabolism show significant enrichment, suggesting enhanced regulation of energy supply and allocation. This pattern indicates metabolic reprogramming characteristics adapted to high-flow-velocity stress.

BiologyVol. 15(4)
Nanjing Agricultural University (CN), Ministry of Ecology and Environment (CN), Impact Assessment (US), Chinese Academy of Fishery Sciences (CN)
Chinese Academy of Fishery Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 60%
Physiological and biochemical adaptations
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.