首页|Non-Targeted Metabolomics Reveals the Metabolic Alterations in Response to Artificial Selective Breeding in the Fast-Growing Strains of Pacific Oyster

Non-Targeted Metabolomics Reveals the Metabolic Alterations in Response to Artificial Selective Breeding in the Fast-Growing Strains of Pacific Oyster

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Pacific oyster(Crassostrea gigas)is one of the most important mollusks cultured all around the world.Selective breed-ing programs of Pacific oysters in China is initiated since 2006 and developed the genetically improved strain with fast-growing trait.However,little is known about the metabolic signatures of the fast-growing trait.In the present study,the non-targeted metabolomics was performed to analyze the metabolic signatures of adductor muscle tissue in one-year old Pacific oysters from fast-growing strain and the wild population.A total of 7767 and 10174 valid peaks were extracted and quantified in ESI+and ESI modes,resulting in 399 and 381 annotated metabolites,respectively.PCA and OPLS-DA revealed that considerable separation among samples from fast-growing strain and wild population,suggesting the differences in metabolic signatures.Meanwhile,81 significantly different metabo-lites(SDMs)were identified in the comparisons between fast-growing strain and wild population,based on the strict thresholds.It was found that there were highly correlation and conserved coordination among these SDMs.KEGG enrichment analysis indicated that the SDMs were tightly related to pantothenate and CoA biosynthesis,steroid hormone biosynthesis,riboflavin metabolism,and arginine and proline metabolism.Of them,the CoA biosynthesis and metabolism,affected by pantetheine and pantothenic acid,might be important for the growth of Pacific oysters under artificial selective breeding.The study provides the comprehensive views of me-tabolic signatures in response to artificially selective breeding,and is helpful to better understand the molecular mechanism of fast-growing traits in Pacific oysters.

metabolic signaturePacific oysterartificial selectionfast-growing trait

HU Boyang、TIAN Yuan、LIU Shikai、LI Qi

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Key Laboratory of Mariculture,Ministry of Education,Ocean University of China,Qingdao 266003,China

Laboratory for Marine Fisheries Science and Food Production Processes,Laoshan Laboratory,Qingdao 266237,China

Earmarked Fund for Agriculture Seed Improvement Project of Shandong ProvinceEarmarked Fund for Agriculture Seed Improvement Project of Shandong ProvinceChina Agriculture Research System Project

2021ZLGX032022LZGCQY010CARS-49

2024

10.1007/s11802-024-5717-7

中国海洋大学学报(自然科学英文版)
中国海洋大学

中国海洋大学学报(自然科学英文版)

CSTPCD
影响因子：0.268
ISSN：1672-5182
年,卷(期)：2024.23(2)
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