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Peer-reviewedCC BYAnimals : an open access journal from MDPI

YOLOv11-Pose-Based Tracking Reveals Neuropeptide F Regulation of Agonistic Behavior in Macrobrachium rosenbergii.

  • Bangping Hu1,2
  • Chengyuan Peng3
  • Xiaojia Liao1,2
  • Linwei Yang3
  • Hongliang Zuo1,2
  • Shaoping Weng1,2
  • Jianguo He1,2
  • Xiaopeng Xu1,2
  1. 1State Key Laboratory of Biocontrol, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), China-ASEAN Belt and Road Joint Laboratory on Mariculture Technology, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.
  2. 2Guangdong Province Key Laboratory of Aquatic Economic Animals, Institute of Aquatic Economic Animals, Sun Yat-sen University, Guangzhou 510275, China.
  3. 3State Key Laboratory of Mariculture Breeding, Key Laboratory of Marine Biotechnology of Fujian Province, College of Marine Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
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Abstract

The giant freshwater prawn Macrobrachium rosenbergii is inherently aggressive, and this innate trait constitutes a major bottleneck restricting high-density intensive aquaculture. In this study, we developed behavioral phenotyping analysis software integrating YOLOv11-pose and the SORT tracking algorithm to automatically recognize and quantify agonistic behaviors. To validate the reliability of this platform, we used it to investigate the role of neuropeptide F (NPF) through loss- and gain-of-function strategies. The platform successfully captured behavioral differences across treatments and generated results that were consistent with manual observations, confirming its accuracy and utility for automated behavioral analysis. Moreover, it provided additional kinematic metrics that are not accessible through manual observation, offering more comprehensive behavioral quantification. Mechanistically, NPF silencing reduced feed intake, suppressed growth, and disrupted hepatopancreatic glycolysis, suggesting that NPF may modulate aggression at least partly through energy metabolic pathways. Collectively, this study provides a robust tool for behavioral phenotyping in crustaceans, with potential applications for behavior-based management in intensive farming systems.

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Cite

BibTeXRIS
BibTeX
@article{hu2026yolov11posebased,
  title = {{YOLOv11-Pose-Based Tracking Reveals Neuropeptide F Regulation of Agonistic Behavior in Macrobrachium rosenbergii.}},
  author = {Bangping Hu and Chengyuan Peng and Xiaojia Liao and Linwei Yang and Hongliang Zuo and Shaoping Weng and Jianguo He and Xiaopeng Xu},
  journal = {Animals : an open access journal from MDPI},
  year = {2026},
  month = oct,
  doi = {10.3390/ani16203307},
  url = {https://europepmc.org/article/MED/42939238},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - YOLOv11-Pose-Based Tracking Reveals Neuropeptide F Regulation of Agonistic Behavior in Macrobrachium rosenbergii.
AU  - Bangping Hu
AU  - Chengyuan Peng
AU  - Xiaojia Liao
AU  - Linwei Yang
AU  - Hongliang Zuo
AU  - Shaoping Weng
AU  - Jianguo He
AU  - Xiaopeng Xu
PY  - 2026
DA  - 2026/10/20
JO  - Animals : an open access journal from MDPI
DO  - 10.3390/ani16203307
UR  - https://europepmc.org/article/MED/42939238
AB  - The giant freshwater prawn Macrobrachium rosenbergii is inherently aggressive, and this innate trait constitutes a major bottleneck restricting high-density intensive aquaculture. In this study, we developed behavioral phenotyping analysis software integrating YOLOv11-pose and the SORT tracking algorithm to automatically recognize and quantify agonistic behaviors. To validate the reliability of this platform, we used it to investigate the role of neuropeptide F (NPF) through loss- and gain-of-function strategies. The platform successfully captured behavioral differences across treatments and generated results that were consistent with manual observations, confirming its accuracy and utility for automated behavioral analysis. Moreover, it provided additional kinematic metrics that are not accessible through manual observation, offering more comprehensive behavioral quantification. Mechanistically, NPF silencing reduced feed intake, suppressed growth, and disrupted hepatopancreatic glycolysis, suggesting that NPF may modulate aggression at least partly through energy metabolic pathways. Collectively, this study provides a robust tool for behavioral phenotyping in crustaceans, with potential applications for behavior-based management in intensive farming systems.
SN  - 2076-2615
ER  -