Metabolomics

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The accumulation profiles of terpene metabolites in three Muscat table grape cultivars through HS-SPME-GCMS


ABSTRACT: Aroma is an important parameter for table grapes and wines; terpenes are typical compounds in Muscat-type grape cultivars and can be easily perceived by humans because of their low olfactory threshold. Volatile terpenes contribute directly to the aroma character, while glycoside-bound terpenes are potential aromatic compounds and can be changed to their volatile forms via hydrolysis. With gas chromatography-mass spectrometry and a solid-phase microextraction method, an automatic data analysis platform was constructed; terpene compounds were identified and quantified from three table grape cultivars at three stages during berry development, and the raw data were deposited in MetaboLights. Terpene metabolite accumulation profiles are presented in this article for integrative analysis with the transcriptome data and phenotypic data to elucidate the important candidate genes and mechanism for terpene biosynthesis. Our method has applications in the identification and quantification of terpene compounds with very low or trace concentrations.

INSTRUMENT(S): Gas Chromatography MS - positive

SUBMITTER: LEI SUN 

PROVIDER: MTBLS968 | MetaboLights | 2019-11-15

REPOSITORIES: MetaboLights

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The accumulation profiles of terpene metabolites in three Muscat table grape cultivars through HS-SPME-GCMS.

Sun Lei L   Zhu Baoqing B   Zhang Xuanyin X   Wang Huiling H   Yan Ailing A   Zhang Guojun G   Wang Xiaoyue X   Xu Haiying H  

Scientific data 20200102 1


Aroma is an important parameter for table grapes and wines; terpenes are typical compounds in Muscat-type grape cultivars and can be easily perceived by humans because of their low olfactory threshold. Volatile terpenes contribute directly to the aroma character, while glycoside-bound terpenes are potential aromatic compounds and can be changed to their volatile forms via hydrolysis. With gas chromatography-mass spectrometry and a solid-phase microextraction method, an automatic data analysis pl  ...[more]

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