Traceability of Wild and Farmed Four Major Chinese Carps Using High-Resolution Mass Spectrometry-Based Proteomics Combined with Multivariate Statistical Analysis

The escalating demand for traceability and authentication of aquatic products, driven by significant quality and commercial value differences between wild and farmed fish, necessitates applicable analytical strategies. Sequential window acquisition of all theoretical fragment ion mass spectra (SWATH-MS)-based proteomics, along with multivariate statistical analysis, was employed to discriminate wild and farmed populations of the Four Major Chinese Carps: <i>Mylopharyngodon piceus</i>, <i>Ctenopharyngodon idellus</i>, <i>Hypophthalmichthys molitrix</i>, and <i>Hypophthalmichthys nobilis</i>. As a consequence, 24 proteins were identified as discriminators with the model of orthogonal partial least-squares-discriminant analysis (OPLS-DA) and validated by hierarchical clustering analysis (HCA) with visually significant abundance variations between wild and farmed populations. Gene Ontology (GO) annotation additionally revealed that these biomarkers were predominantly involved in energy metabolism and structural development, reflecting molecular adaptations to distinct habitat environments. The applicability of the developed OPLS-DA models to traceability of wild and farmed populations of the Four Major Chinese Carps was also verified by the commercial real-life samples.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2026-01-15
DOI
https://doi.org/10.1021/acs.jafc.5c13309
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
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article

Traceability of Wild and Farmed Four Major Chinese Carps Using High-Resolution Mass Spectrometry-Based Proteomics Combined with Multivariate Statistical Analysis

Jinyue Yang, Wei Wang, Bing Niu, Hu Hou et al.
Journal of Agricultural and Food Chemistry
Identification and Quantification in Food
article

Traceability of Wild and Farmed Four Major Chinese Carps Using High-Resolution Mass Spectrometry-Based Proteomics Combined with Multivariate Statistical Analysis

Jinyue Yang, Wei Wang, Bing Niu, Hu Hou, Chunhao Zhao, Xue Zhao, Xiaomei Zhang, Xiaojing Yu, Zhenxing Wu, Hongwei Zhang
article en

Abstract

The escalating demand for traceability and authentication of aquatic products, driven by significant quality and commercial value differences between wild and farmed fish, necessitates applicable analytical strategies. Sequential window acquisition of all theoretical fragment ion mass spectra (SWATH-MS)-based proteomics, along with multivariate statistical analysis, was employed to discriminate wild and farmed populations of the Four Major Chinese Carps: <i>Mylopharyngodon piceus</i>, <i>Ctenopharyngodon idellus</i>, <i>Hypophthalmichthys molitrix</i>, and <i>Hypophthalmichthys nobilis</i>. As a consequence, 24 proteins were identified as discriminators with the model of orthogonal partial least-squares-discriminant analysis (OPLS-DA) and validated by hierarchical clustering analysis (HCA) with visually significant abundance variations between wild and farmed populations. Gene Ontology (GO) annotation additionally revealed that these biomarkers were predominantly involved in energy metabolism and structural development, reflecting molecular adaptations to distinct habitat environments. The applicability of the developed OPLS-DA models to traceability of wild and farmed populations of the Four Major Chinese Carps was also verified by the commercial real-life samples.

Journal of Agricultural and Food ChemistryVol. 74(3)
Qingdao University (CN), Shanghai University (CN), Qingdao Municipal Hospital (CN), Institute of Food Science & Technology (GB), Shandong Special Equipment Inspection Institute (CN), Ocean University of China (CN)
Reduced inequalities
Openalex Percentile: Top 87%
Identification and Quantification in Food
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