4D-FastDIA-based quantitative proteomics reveals protein biomarkers linked to flavor traits between triploid and diploid oysters (Crassostrea angulata)

In this study, the 4D-FastDIA-based quantitative proteomics strategy was employed to identify protein biomarkers linked to flavor traits in triploid and diploid oysters ( Crassostrea angulata ). A comprehensive analysis identified a total of 61,947 peptides and 9703 protein groups across four sample groups, with 3679 common proteins shared among all groups. Differentially expressed proteins (DEPs) were found to be significantly associated with flavor-related traits, revealing notable differences in amino acids, lipids, and nucleotides between triploid and diploid oysters. Enrichment analysis further elucidated significant pathways involved in metabolic processes, biosynthesis, and immune responses. Among the DEPs, 864 were correlated with flavor quality traits, highlighting key proteins such as S-adenosylmethionine synthase and pyruvate kinase as potential biomarkers for flavor traits. These findings provide valuable insights into the molecular mechanisms underlying flavor differences in oysters and offer potential biomarkers for evaluating and enhancing oyster quality. • 4D-FastDIA-based proteomics reveals key protein biomarkers in triploid and diploid oysters. • Significant differences in amino acids, lipids, and nucleotides enhance oyster flavor traits. • 864 differentially expressed proteins correlate with flavor quality traits in oysters. • Proteomic analysis identifies metabolic pathways crucial for oyster flavor profiles. • Potential biomarkers like S-adenosylmethionine synthase improve flavor assessment.

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Publication Details

Journal
LWT
Published
2024-10-16
DOI
https://doi.org/10.1016/j.lwt.2024.116907
Citations
4
Primary Topic
Aquaculture Nutrition and Growth
Type
article
Field-Weighted Citation Impact
2.39
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article

4D-FastDIA-based quantitative proteomics reveals protein biomarkers linked to flavor traits between triploid and diploid oysters (Crassostrea angulata)

Ting Xue, Gang Lin, Duo Chen, Yunguang Liu et al.
4 citations
LWT
Aquaculture Nutrition and Growth
2.39
article

4D-FastDIA-based quantitative proteomics reveals protein biomarkers linked to flavor traits between triploid and diploid oysters (Crassostrea angulata)

Ting Xue, Gang Lin, Duo Chen, Yunguang Liu, Ziquan Zhou, Zhi Chen, Zewen Zheng
article en
4 citations

Abstract

In this study, the 4D-FastDIA-based quantitative proteomics strategy was employed to identify protein biomarkers linked to flavor traits in triploid and diploid oysters ( Crassostrea angulata ). A comprehensive analysis identified a total of 61,947 peptides and 9703 protein groups across four sample groups, with 3679 common proteins shared among all groups. Differentially expressed proteins (DEPs) were found to be significantly associated with flavor-related traits, revealing notable differences in amino acids, lipids, and nucleotides between triploid and diploid oysters. Enrichment analysis further elucidated significant pathways involved in metabolic processes, biosynthesis, and immune responses. Among the DEPs, 864 were correlated with flavor quality traits, highlighting key proteins such as S-adenosylmethionine synthase and pyruvate kinase as potential biomarkers for flavor traits. These findings provide valuable insights into the molecular mechanisms underlying flavor differences in oysters and offer potential biomarkers for evaluating and enhancing oyster quality. • 4D-FastDIA-based proteomics reveals key protein biomarkers in triploid and diploid oysters. • Significant differences in amino acids, lipids, and nucleotides enhance oyster flavor traits. • 864 differentially expressed proteins correlate with flavor quality traits in oysters. • Proteomic analysis identifies metabolic pathways crucial for oyster flavor profiles. • Potential biomarkers like S-adenosylmethionine synthase improve flavor assessment.

LWTVol. 211
Fujian Normal University (CN), Zhejiang Institute of Freshwater Fisheries (CN), Fujian Fisheries Research Institute (CN)
Zero hunger
Openalex Percentile: Top 12%
Aquaculture Nutrition and Growth
2.39
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