Dataset Information

Impact of Nitrogen Fertilizer Levels on Metabolite Profiling of the Lycium barbarum L. Fruit.

ABSTRACT: The yield and quality of goji (Lycium barbarum L.) fruit are heavily dependent on fertilizer, especially the availability of nitrogen, phosphorus, and potassium (N, P, and K, respectively). In this study, we performed a metabolomic analysis of the response of goji berry to nitrogen fertilizer levels using an Ultra Performance Liquid Chromatography-Electrospray Ionization-Tandem Mass Spectrometry (UPLC-ESI-MS/MS) method. There was no significant difference in the fruit yield or the commodity grade between N0 (42.5 g/plant), N1 (85 g/plant), and N2 (127.5 g/plant). The primary nutrients of the goji berry changed with an increasing nitrogen fertilization. Comparative metabolomic profiling of three nitrogen levels resulted in the identification of 612 metabolites, including amino acids, flavonoids, carbohydrates, organic acids, and lipids/alcohols, among others, of which 53 metabolites (lipids, fatty acids, organic acids, and phenolamides) demonstrated significant changes. These results provide new insights into the molecular mechanisms of the relationship between yield and quality of goji berry and nitrogen fertilizer.

SUBMITTER: Shi Z

PROVIDER: S-EPMC6864581 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Impact of Nitrogen Fertilizer Levels on Metabolite Profiling of the <i>Lycium barbarum</i> L. Fruit.

Shi Zhigang Z Wei Feng F Wan Ru R Li Yunxiang Y Wang Yajun Y An Wei W Qin Ken K Dai Guoli G Cao Youlong Y Feng Jiayue J

Molecules (Basel, Switzerland) 20191028 21

The yield and quality of goji (<i>Lycium barbarum</i> L.) fruit are heavily dependent on fertilizer, especially the availability of nitrogen, phosphorus, and potassium (N, P, and K, respectively). In this study, we performed a metabolomic analysis of the response of goji berry to nitrogen fertilizer levels using an Ultra Performance Liquid Chromatography-Electrospray Ionization-Tandem Mass Spectrometry (UPLC-ESI-MS/MS) method. There was no significant difference in the fruit yield or the commodi ...[more]

PMID: 31661883

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Project description:Goji berries have been used as food and medicine for millennia. Due to their high morphological similarity, fruits of two distinct species belonging to the family Solanaceae, Lycium barbarum (LB) and Lycium chinense (Chinese boxthorn), are usually marketed together as goji berries, but nearly 90% of all commercially available goji berries belong to the former species. A third closely related species, a wild perennial thorny shrub native to north-western China, Lycium ruthenicum (LR; known as Russian box thorn, and its fruit as black wolfberry), has become a popular choice for combating soil desertification and for alleviating soil salinity/alkalinity due to its high resistance to the harsh environment of saline deserts. Despite the phylogenetic closeness of LB and LR, their fruits are very different. To identify the genes involved in these distinct phenotypes, here we studied expression patterns of 22 transcriptional regulators that may be crucial drivers of these differences during five developmental stages. BAM1 may contribute to higher sugar content in LB. High expression of BFRUCT in ripe LR is likely to be an evolutionary adaptation to fruit ripening in an arid environment. Two arogenate dehydratase paralogues, CHS and LDOX, are probably crucial elements of the mechanism by which LR accumulates much higher levels of anthocyanin. DXS2 (carotenoid accumulation in LB) and CCD4 (carotenoid degradation in ripe LR fruit) may be crucial drivers behind the much higher content of carotenoids in LB. EIL3 and ERF5 are two transcription factors that may contribute to the higher abiotic stress resilience of LR. GATA22-like appears to have more important roles in growth than ripening in LB fruit and vice versa in LR. HAT5-like exhibited opposite temporal patterns in two fruits: high in the 1st stage in LB and high in the 5th stage in LR. PED1 was expressed at a much lower level in LR. Finally, we hypothesise that the poorly functionally characterised SCL32 gene may play a part in the increased resistance to environmental stress of LR. We suggest that BAM1, BFRUCT, EIL3, ERF5, ADT paralogues (for functional redundancy), PED1, GATA22-like, HAT5-like and SCL32 warrant further functional studies.

Dataset Information

Impact of Nitrogen Fertilizer Levels on Metabolite Profiling of the Lycium barbarum L. Fruit.

Publications

Impact of Nitrogen Fertilizer Levels on Metabolite Profiling of the <i>Lycium barbarum</i> L. Fruit.

Similar Datasets

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