A comparative UPLC-Q-TOF/MS-based metabolomics approach for distinguishing peach (Prunus persica (L.) Batsch) fruit cultivars with varying antioxidant activity

Increase in IAA levels by EPSPS copy number variation relates to fitness advantage in Eleusine indica

BACKGROUND

Long-term use of chemical weed control has led to some weedy species evolving herbicide resistance traits with fitness advantage. Our previous studies revealed glyphosate resistance in an Eleusine indica population due to copy number variation of 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) comes with fitness advantage under non-competitive conditions. Here, transcriptomics and targeted metabolomics were used to investigate physiological basis associated with the fitness advantage.

RESULTS

Relative copy number of EPSPS gene and plant dry weight of the glyphosate-resistant (R) population was 88.3- and 1.2- times, respectively, higher than that in the wild type (WT) plants that were isolated from within the R population. Seven genes were screened to be relevant to fitness growth trait by RNA-seq. The level of aromatic amino acids Tryptophan (Trp), Phenylalanine (Phe) and Tyrosine (Tyr), products in the shikimate pathway catalyzed by EPSPS, was 1.2-times higher in R compared to the WT plants. The metabolites associated with Trp metabolism indole-3-acetic acid (IAA), 3-indolepropionic acid (IPA), indole-3-acetamide (IAM) in the R plants were 2.0-, 1.8- and 1.4- times higher than that in the WT plants, respectively.

CONCLUSION

All the results indicate that fitness advantage in the studied R E. indica population may be caused by higher IAA production due to over-expression of the EPSPS gene and pleiotropically by elevated carbon metabolism. The findings in this research can provide reference information for control strategies to the glyphosate-resistant E. indica. © 2025 Society of Chemical Industry.

Affecting of Glyphosate Tolerance and Metabolite Content in Transgenic Arabidopsis thaliana Overexpressing EPSPS Gene from Eleusine indica

Long-term use of the global non-selective herbicide glyphosate for weed control has caused resistance in weeds. Overproducing of the target of glyphosate 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) is one of the resistance mechanisms in weeds. However, few studies have measured the effects on tolerance levels and metabolite content in model plant species overexpressing EPSPS from weeds. We assessed the resistance levels of transgenic Arabidopsis thaliana overexpressing EPSPS from Eleusine indica, and its effects on metabolite content using the method of both quasi-targeted and targeted metabolomics. The results showed that the average resistance index of the transgenic lines was 4.7 and the exogenous E. indica EPSPS expression levels were 265.3- to 532.0-fold higher than those in the wild-type (WT) line. The EPSPS protein ranged from 148.5 to 286.2 μg g-1, which was substantially higher than that in the WT line (9.1 μg g-1). 103 metabolites associated with flavone and flavonol biosynthesis, the metabolism of aromatic amino acids, energy metabolism, and auxin synthesis were significantly higher in the transgenic glyphosate-resistant individuals (R) than in the WT individuals. The results of quantitative analysis show that pyruvate, sedoheptulose 7-phosphate, and gluconic acid amounts in R plants were 1.1-, 1.6- and 1.3-fold higher than those in WT plants, respectively. However, both citric and glyceric acid levels were 0.9-fold lower than those in WT plants. The abundance of other metabolites in the glycolytic and pentose phosphate pathways of central carbon metabolism was similar in the WT and transgenic plants. Glutamic acid was significantly more abundant in the transgenic line than in the WT plants. In contrast, asparagine, glutamine, and lysine were less abundant. However, the concentration of other amino acids did not change significantly. Overexpression of E. indica EPSPS in A. thaliana conferred a moderate level of tolerance to glyphosate. Metabolites associated with flavone and flavonol biosynthesis, the metabolism of aromatic amino acids, and energy metabolism were significantly increased. The results of this study will be useful for evaluating the characterisation and risk assessment of transgenic plants, including identification of unintended effects of the respective transgenic modifications.

Online identification of potential antioxidant components and evaluation of DNA oxidative damage protection ability in Prunus persica flowers

A high performance liquid chromatography-ultraviolet-visible detector-electrospray ionization-ion trap-time-of-flight-mass spectrometry-total antioxidant capacity determination (HPLC-UVD-ESI-IT-TOF-MS-TACD) new online technique was developed for efficient screening of potential antioxidant active components in Prunus persica flowers (PPF) from 4 origins. Through this online system, 46 compounds were initially identified, while 20 compounds with DPPH binding activity and 21 compounds with FRAP binding activity were detected. The antioxidant activities of 9 compounds obtained from the screening were then validated in DNA oxidative damage protection study. The results showed that this online system can cope well with the complexity of the samples. This also provides technical basis for rapid screening of antioxidant resources of PPF. In short, this study made the chemical composition of PPF more abundant and its potential antioxidant active compounds more explicit, which provided new ideas for the detection and development of natural antioxidants and provided scientific basis for PPF as functional food.

Untargeted metabolomics analysis using UPLC-QTOF/MS and GC-MS to unravel changes in antioxidant activity and compounds of almonds before and after roasting

Almonds are a commonly consumed nut. They possess significantof nutritional and health benefitsand are commonly processed by roasting. This study aimed to investigatthe effects of roasting on the compound composition and antioxidant activity of almonds. Metabolomics analysis, performed via UPLC-QTOF/MS, and fatty acid analysis, conducted via GC-MS, employed, and the results demonstrated a significant increase in antioxidant activity of post-roasting and in vitro digestion, ranging from 1.16 to 3.44 times. Untargeted metabolomics identified a total of 172 compounds, with notable differences observed in organic oxides, fatty acids, and their derivatives. Correlation analysis identified fatty acids as the primary influencers of changes in antioxidant activity following roasting. Taken together, these findings suggest that roasting enhances the antioxidant activity of almonds, primarily due to alterations in fatty acid analogs, thereby providing valuable insights into optimizing almond consumption for health benefits.

Identification of procyanidins as α-glucosidase inhibitors, pancreatic lipase inhibitors, and antioxidants from the bark of Cinnamomum cassia by multi-bioactivity-labeled molecular networking

This study examined the suppressive effects of 16 selected plant-based foods on α-glucosidase and pancreatic lipase and their antioxidant properties. Among these, the bark of Cinnamomum cassia (Cinnamon, WLN-FM 15) showed the highest inhibitory activity against α-glucosidase and the highest antioxidant activity. Additionally, WLN-FM 15 showed promising results in the other tests. To further identify the bioactive constituents of WLN-FM 15, a multi-bioactivity-labeled molecular networking approach was used through a combination of GNPS-based molecular networking, DPPH-HPLC, and affinity-based ultrafiltration-HPLC. A total of nine procyanidins were identified as antioxidants and inhibitors of α-glucosidase and pancreatic lipase in WLN-FM 15. Subsequently, procyanidins A1, A2, B1, and C1 were isolated, and their efficacy was confirmed through functional assays. In summary, WLN-FM 15 has the potential to serve as a functional food ingredient with the procyanidins as its bioactive constituents. These results also suggest that the multi-bioactivity-labeled molecular networking approach is reliable for identifying bioactive constituents in plant-based foods.

Widely targeted metabolomic and KEGG analyses of natural deep eutectic solvent-based saponins extraction from Camellia oleifera Abel.: Effects on composition

Camellia saponins are important by-products of Camellia Oleifer Abel. processing. In this study, an eco-friendly method based on natural deep eutectic solvents (NaDESs, proline and glycerol at a molar ratio of 2:5) was established to extract saponins from C.oleifera cakes. The content of saponin (702.22 ± 1.28 mg/g) obtained using NaDES was higher than those extracted using water or methanol. UPLC-Q-TOF MS analysis of chemical structure showed that the difference in the extraction technique alter individual saponins. A widely targeted metabolomic approach and KEGG metabolic pathway analysis showed that the upregulated metabolites in the NaDES-based extract mainly included flavonoids, alkaloids, and phenolic acids; and they were involved in arginine and proline metabolism, metabolic pathways, phenylpropanoid biosynthesis, biosynthesis of secondary metabolites, and flavonoid biosynthesis. The present study proposes a selective substitute for use in the extraction of camellia saponins with composition analysis.

Metabolomics applications for plant-based foods origin tracing, cultivars identification and processing: Feasibility and future aspects

Metabolomics, the systematic study of metabolites, is dedicated to a comprehensive analysis of all aspects of plant-based food research and plays a pivotal role in the nutritional composition and quality control of plant-based foods. The diverse chemical compositions of plant-based foods lead to variations in sensory characteristics and nutritional value. This review explores the application of the metabolomics method to plant-based food origin tracing, cultivar identification, and processing methods. It also addresses the challenges encountered and outlines future directions. Typically, when combined with other omics or techniques, synergistic and complementary information is uncovered, enhancing the classification and prediction capabilities of models. Future research should aim to evaluate all factors affecting food quality comprehensively, and this necessitates advanced research into influence mechanisms, metabolic pathways, and gene expression.

Comparative metabolomics profiling highlights unique color variation and bitter taste formation of Chinese cherry fruits

Chinese cherry [Cerasus pseudocerasus (Lindl.) G.Don], native to China, is an economically important fruit crop with attractive colors and delicious flavors. However, the specific metabolites present in cherry fruits have remained unknown. Here, we firstly characterized 1439 metabolite components of Chinese cherry fruits, predominantly including amino acids, flavonoids, and phenolic acids. Moreover, we screened ten biomarkers of Chinese cherry accessions by ROC curve analysis. Among 250 flavonoids, 26 structurally unique anthocyanins collectively determined fruit color, with cyanidins playing a dominant role. Differences in accumulated metabolites between anthocyanin and proanthocyanidin pathways were likely responsible for the variation in fruit color, ranging from yellow to black purple. Meanwhile, we found limocitrin-7-O-glucoside, along with eight other compounds, as underlying contributors to bitter off-taste experienced in fruits. This study provides insights into the regulatory network of metabolites involved in color variation and bitterness formation and genetic improvement of Chinese cherry fruits.

Comparing univariate filtration preceding and succeeding PLS-DA analysis on the differential variables/metabolites identified from untargeted LC-MS metabolomics data

BACKGROUND

PLS-DA of high-dimensional metabolomics data is frequently employed to capture the most pertinent features to sample classification. But the presence of numerous insignificant input features could distort the PLS-DA model, blow up and scramble the selected differential features. Usually, univariate filtration is subsequently complemented to refine the selected features, but often giving unstable results. Whereas by precluding insignificant features through univariate data prefiltration assessed by FDR adjusted p-value, PLS-DA can generate more stable and reliable differential features. We explored and compared these two data analysis procedures to gain insights into the underlying mechanisms responsible for the disparate results.

RESULTS

The effect of univariate data filtration preceding and succeeding PLS-DA analysis on the identified discriminative features/metabolites was investigated using LC-MS data acquired on the samples of human serum and C. elegans extracts, with and without metabolite standards spiked to simulate the treated and control groups of biological samples. It was shown that the univariate data prefiltration before PLS-DA usually gave less but more stable and likely more reliable and meaningful differential features, while PLS-DA applied directly to the original data could be affected by the presence of insignificant features and orthogonal noise. Large number of insignificant variables and orthogonal noise could distort the generated PLS-DA model and affect the p(corr) value, and artificially inflate the calculated VIP values of relevant features due to the increased total number of input features for model construction, thus leading to more false positives selected by the conventional VIP threshold of 1.0.

SIGNIFICANCE AND NOVELTY

Univariate data filtration preceding PLS-DA was important for the identification of reliable differential features if using a conventional threshold of VIP of 1.0. Presence of insignificant features could distort the PLS-DA model and inflate VIP values. Appropriate VIP threshold is associated with the numbers of input features and the model components. For PLS-DA without univariate prefiltration, threshold of VIP larger than 1.0 is recommended for the selection of discriminative features to reduce the false positives.

Metabolomic analysis of black sesame seeds: Effects of processing and active compounds in antioxidant and anti-inflammatory properties

Black sesame seeds (BSS) have been recognized as a functional food due to their nutritional and therapeutic value for many years. In China, BSS is traditionally processed and consumed through two methods, namely, nine steaming nine sun-drying and stir-frying. The present study aimed to evaluate the effects of these processing techniques on the antioxidant and anti-inflammatory activities of BSS. UPLC-QTOF/MS was used for untargeted metabolomics to analyze the composition changes. The results indicated that the different samples had good antioxidant and anti-inflammatory activities, but thermal treatment reduced their activities. Untargeted metabolomics identified a total of 196 metabolites. Molecular docking studies targeting proteins associated with inflammation (iNOS) demonstrated that compounds acting as inhibitors were significantly reduced under both treatments. These results indicate that both nine steaming nine sun-drying and stir-frying lead to substantial loss of antioxidant, anti-inflammatory, and bioactive metabolites in BSS, which provides an important reference for its rational utilization.

Soluble sugar and organic acid composition and flavor evaluation of Chinese cherry fruits

Chinese cherry is an economically important fruit crop native to China. Flavor quality is greatly influenced by compositions of soluble sugars and organic acids. To better understand the flavor quality of Chinese cherry, we determined sugar and acid components in thirty-eight landrace and cultivar collections, and two wild resources using the HPLC method. Glucose and fructose were the main components, accounting for 85.91% of soluble sugars. Malic acid was the predominant organic acid, with an average proportion of 65.73% of total acids. Correlation and PCA analysis revealed seven key indicators for evaluating fruit flavor. Compared with wild Chinese cherry, the cultivated collections exhibited higher levels of soluble sugars, especially fructose, and lower levels of organic acid, particularly malic acid in fruits. Finally, we have established grading criteria for seven flavor indicators in Chinese cherry. Our study provides valuable references for identifying flavor compounds and improving flavor quality of Chinese cherry.

Study on the spatial specificity of phenolics in fruit of different jujube varieties

Phenol, an important bioactive substance in jujube fruit, is one of the most important indexes of fruit quality. In order to clarify the phenolic substance composition, content and distribution characteristics of different varieties of jujube fruits, this study measured and compared the content of total phenols, total flavonoids and phenolic substance composition in different parts of fruits of six jujube varieties, and combined with the principal component analysis, the results showed that: Fourteen phenolic substances were identified in the fruits of different jujube varieties, and proanthocyanidins, epicatechin, catechin and rutin were the main components, accounting for 58.60%, 16.08%, 13.56% and 5.57% of the total phenolic substances, respectively. The total phenolic and total flavonoid contents of jujube fruits of each variety were between 18.11 and 21.45 mg GAE/g DW and 10.56-20.25 mg RE/g DW, respectively, and the differences in the contents between the varieties were significant, and the contents of 'Junzao' and 'Jinlingyuanzao' were higher than those of other varieties.The phenolic content of different parts of jujube fruits showed spatial distribution differences, manifested as the total phenols, total flavonoids and their fractions of the peel were significantly higher than that of the pulp, while the content of the pulp near the kernel was significantly higher than that of other parts of the pulp, This study provides a theoretical basis for analysing the differences in phenolic substances in jujube fruits.

Procyanidin B2: A promising multi-functional food-derived pigment for human diseases

Natural edible pigments play a paramount part in the food industry. Procyanidin B2 (PB2), one of the most representative naturally occurring edible pigments, is usually isolated from the seeds, fruits, and leaves of lots of common plants, such as grapes, Hawthorn, black soybean, as well as blueberry, and functions as a food additive in daily life. Notably, PB2 has numerous bioactivities and possesses the potential to treat/prevent a wide range of human diseases, such as diabetes mellitus, diabetic complications, atherosclerosis, and non-alcoholic fatty liver disease, and the underlying mechanisms were partially elucidated, including mediating signaling pathways like NF-κB, MAPK, PI3K/Akt, apoptotic axis, and Nrf-2/HO-1. This paper presents a review of the natural sources, bioactivities, and the therapeutic/preventive potential of PB2 and the possible mechanisms, with the aim of promoting the development of PB2 as a functional food and providing references for its clinical application in the treatment of diseases.

Antioxidant and anti-inflammatory activities of rape bee pollen after fermentation and their correlation with chemical components by ultra-performance liquid chromatography-quadrupole time of flight mass spectrometry-based untargeted metabolomics

As a common food processing technology, microbial fermentation is becoming increasingly popular to promote the bioactivity of materials. This study aims to enhance rape bee pollen bioactivity through fermentation and trace the potential components associated with its bioactivity. The antioxidant and anti-inflammatory activities of unfermented bee pollen and fermented bee pollen were evaluated, and their correlation with differential metabolites was analyzed. The results indicated that fermentation significantly (p < 0.05) improved the antioxidant (>2.3-fold) and anti-inflammatory (>1.36-fold) activities of bee pollen, and increased the contents of total phenolics and flavonoids by 1.99 and 1.53 folds. Moreover, the correlation analysis results indicated that 15 components, including three phenolamides, one flavonoid aglycone, seven fatty acids, three amino acids and one ketone compound, were positively correlated with bee pollen antioxidant and anti-inflammatory activities. These results suggest that fermentation is a promising approach to increase the bioactivity of bee pollen.

Comparative nutritional and metabolic analysis reveals the taste variations during yellow rambutan fruit maturation

The metabolic reasons for rambutan taste variations during maturity are unknown. Here, we obtained a unique rambutan cultivar Baoyan No.2 (BY2) with a strong yellow pericarp and excellent taste, the sugar-acid ratios of which ranged from 21.7 to 94.5 during maturation. Widely targeted metabolomics analysis was performed to reveal the metabolic reasons behind these taste variations. The results showed that 51 metabolites were identified as common different metabolites (DMs), including 16 lipids, 12 amino acids and others. Among them, the abundance level of 3,4-digalloylshikimic acid exhibited a positive correlation with the titratable acids (R² = 0.9996) and a negative correlation with the sugar-acid ratio (R² = 0.9999). Therefore, it could be a taste biomarker of BY2 rambutan. Moreover, all DMs were enriched in "galactose metabolism", "fructose and mannose metabolism" and "biosynthesis of amino acids" pathways, which predominantly accounted for the taste variation. Our findings provided new metabolic evidence for the taste variation of rambutan.

Nontargeted metabolomic analysis of four different parts of Actinidia arguta by UPLC-Q-TOF-MSE

Actinidia arguta, an edible berry plant with high nutritional values, has been widely used in Asian countries as a food and traditional medicinal herb. The well-recognized health-promoting properties of A. arguta were associated with its bioactive components in its different botanical parts. To rapidly screen and identify chemical components and simultaneously determine the potential metabolites from different parts of A. arguta, UPLC-Q-TOF-MS^E coupled with UNIFI platform and multivariate statistical analysis approach was established in this study. As a result, a total of 107 components were identified from the four different parts of A. arguta, in which 31 characteristic chemical markers were discovered among them, including 12, 8, 6, and 5 compounds from the fruits, leaves, roots, and stems, respectively. These results suggested that the combination of UPLC-Q-TOF-MS^E and metabolomic analysis is a powerful method to rapidly screen characteristic markers for the quality control of A. arguta.

Variation in flavonoid and antioxidant activities of Pyrrosia petiolosa (Christ) Ching from different geographic origins

Pyrrosia petiolosa (Christ) Ching has both medicinal and health benefits in China. The potential antioxidant activities of P. petiolosa, which are mainly attributed to its flavonoids, have attracted much attention in recent years. The present study aimed to determine the concentration of flavonoid components and evaluate the relative antioxidant activities of P. petiolosa from different geographic origins using a UPLC-MRM-MS-based metabolomics approach. In total, 97 flavonoid components were identified, and their concentrations in the samples from different geographic locations showed significant variation. Thirteen flavonoid components were identified as potential biomarkers for distinguishing between the two major regions, Guizhou (GZ) and Guangxi (GX). The GZ group showed higher total flavonoid content, free radical scavenging activities, and ferric reducing antioxidant power. The well positive correlations were found between the antioxidant capacities and some flavonoid markers. The ecogeographic factors, namely altitude and longitude, play a crucial role in the difference of antioxidant activities and flavonoids concentration. These results indicate that P. petiolosa is rich in flavonoid compounds and is a promising source of natural antioxidants, providing a basis for the quality control of P. petiolosa.

Metabolomics reveals that phenolamides are the main chemical components contributing to the anti-tyrosinase activity of bee pollen

Bee pollen, which is known as a "full-nutrient food", has outstanding anti-tyrosinase activity. However, the chemical components contributing to this activity remain unknown. To comprehensively elucidate the chemical components of bee pollen inhibiting tyrosinase, we performed the anti-tyrosinase activity evaluation of bee pollen extract (BPE) of eight species, metabolomic analysis of chemical composition, multivariate statistical analysis and correlation analysis. The results revealed that the anti-tyrosinase activity of eight BPEs was significantly different (p < 0.05), with IC₅₀ value ranging from 10.08 to 408.81 μg/mL. A total of 725 metabolites were detected from these BPEs, and 40 differential metabolites were identified, all of which were phenolamides. All these phenolamides were positively correlated with the anti-tyrosinase activity, among which 26 phenolamides (21 spermidine derivatives and five spermine derivatives) showed particularly high correlations (r > 0.7). This is the first report to reveal the main contributor to the anti-tyrosinase activity of bee pollen.

Comparative Metabolomics Analysis Reveals the Taste Variations among Three Selected Wampee Cultivars

Sugars and acids of wampee predominantly influence consumer taste preference and its commercial value. The molecular basis of taste variations is currently unknown due to the lack of a large-scale investigation of metabolites in wampee. Here, three tastes cultivars, including YF1 (sweet), YF2 (sweet-sour) and YF3 (sour) wampees with sugar-acid ratios ranging from 1.74 to 26.32, were selected. Then, UPLC-MS/MS based widely targeted metabolome analysis was performed to uncover the molecular mechanism underlying these taste variations, followed by the analysis of KEGG pathways. Results showed that 449, 470, 147 metabolites differed between YF1 vs YF2, YF1 vs YF3, and YF2 vs YF3. Fifty of them were screened as common differential metabolites (DMs) by Venn diagram, including 9 phenolic acids. Among them, the abundance level of methyl 3-O-methyl gallate (M3MG) showed a positive correlation with the titratable acids (R² = 0.9009) and negative correlation with sugar-acid ratio (R² = 0.9802) in three cultivars. Therefore, M3MG could be a taste biomarker for wampees. KEGG pathway enrichment analysis also verified that M3MG played a crucial role in the "biosynthesis of amino acids" pathway. These results above provide important insights into the taste-forming mechanism of wampee and will be beneficial for superior eating quality wampee breeding.

Analysis of the Fruit Quality of Pear (Pyrus spp.) Using Widely Targeted Metabolomics

Pear is a kind of common temperate fruit, whose metabolite composition that contributes to the difference in fruit quality is unclear. This study identified and quantified the metabolites using a widely targeted LC-MS/MS approach in three pear species, including Pyrus bretschneideri (PB), Pyrus usssuriensis (PU) and Pyrus pyrifolia (PP). A total of 493 metabolites were identified, consisting of 68 carbohydrates, 47 organic acids, 50 polyphenols, 21 amino acids, 20 vitamins, etc. The results of PCA and OPLS-DA demonstrated that the metabolite compositions differed distinctly with cultivar variability. Our results also involved some metabolic pathways that may link to the fruit quality based on KEGG pathway analysis, the pathway of phenylalanine metabolism revealed significant differences between PB and PP (p < 0.05). Furthermore, the study selected D-xylose, formononetin, procyanidin A1 and β-nicotinamide mononucleotide as the major differentially expressed metabolites in the three species. The present study can open new avenues for explaining the differences in fruit quality of the major commercial pear cultivars in China.

Post-veraison different frequencies of water deficit strategies enhance Reliance grapes quality under root restriction

In this study, two water deficit treatments in the same amount of water but with different frequencies (T1: 2.5 L per 4 d and T2: 5 L per 8 d) were performed on Reliance grapevines from veraison until harvest to explore their effects on grape berries quality under root restriction. Results showed that glucose, fructose and sucrose contents were increased, while malic acid, tartaric acid and citric acid contents were decreased under two treatments. Meanwhile, water deficits also promoted the accumulation of phenylalanine and proline. For phenols, anthocyanins, resveratrol and flavonols contents in the water deficit groups were significantly higher than those in the control group. In addition, two water deficit treatments increased the characteristic aromas contents, especially the esters contents. Overall, T2 treatment had a better effect than T1 treatment. This study provided an idea for improving water use efficiency and grape quality.

Identification and verification of key taste components in wampee using widely targeted metabolomics

Due to the lack of comprehensive evaluation of all metabolites in wampee, the metabolic reasons for taste differences are unclear. Here, two local varieties YF1 (sweet taste) and YF2 (sweet-sour taste), were selected for quality analysis, followed by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) based widely targeted metabolomic analysis. YF1 and YF2 were clearly separated by principal component analysis (PCA) and cluster analysis, and 449 metabolites were different between the cultivars, including 29 carbohydrates and 29 organic acids. Among them, d-galactose, d-mannose, and d-fructose 6-phosphate contributed mainly to the sweet taste of the YF1 wampee. l-citramalic acid, 2-hydroxyglutaric acid, and 3-methylmalic acid were the dominant organic acids in YF2 wampee, and therefore, contributed primarily to the sweet-sour taste. The differential metabolites were significantly enriched in the "ascorbate and aldarate metabolism" and "C5-branched dibasic acid metabolism" pathways. Ascorbate played a crucial role in the regulation of sugars and organic acids through those pathways. In addition, high-performance liquid chromatography (HPLC) based quantitative verification exhibited the same specific cultivar variations.

Comparative Analysis of Proanthocyanidin Metabolism and Genes Regulatory Network in Fresh Leaves of Two Different Ecotypes of Tetrastigma hemsleyanum

Tetrastigma hemsleyanum Diels et Gilg is a rare and wild medicinal resource. Metabolites, especially secondary metabolites, have an important influence on T. hemsleyanum adaptability and its medicinal quality. The metabolite proanthocyanidin (PA) is a polyphenol compound widely distributed in land plants, which can be used as antioxidants and anticancer agents. Here, we discovered that three types of PA accumulated in large amounts in purple leaves (PL), but not in green leaves (RG), based on widely non-targeted metabolomics. In addition, we further found that catechins and their derivatives, which are the structural units of PA, are also enriched in PL. Afterwards, we screened and obtained five key genes, DNR1/2, ANS, ANR and LAR closely related to PA biosynthesis through transcriptome analysis and found they were all highly expressed in PL compared to RG. Therefore, observed the regulatory relationship between the main compounds and genes network, and the PA metabolism regulatory pathway was complicated, which may be different to other species.

A Review on the Foodomics Based on Liquid Chromatography Mass Spectrometry

Due to the globalization of food production and distribution, the food chain has become increasingly complex, making it more difficult to evaluate unexpected food changes. Therefore, establishing sensitive, robust, and cost-effective analytical platforms to efficiently extract and analyze the food-chemicals in complex food matrices is essential, however, challenging. LC/MS-based metabolomics is the key to obtain a broad overview of human metabolism and understand novel food science. Various metabolomics approaches (e.g., targeted and/or untargeted) and sample preparation techniques in food analysis have their own advantages and limitations. Selecting an analytical platform that matches the characteristics of the analytes is important for food analysis. This review highlighted the recent trends and applications of metabolomics based on "foodomics" by LC-MS and provides the perspectives and insights into the methodology and various sample preparation techniques in food analysis.

Comparative transcriptome and physiological analyses reveal key factors in the tolerance of peach rootstocks to iron deficiency chlorosis

Iron (Fe) deficiency chlorosis (IDC) is a major nutritional disorder in fruit trees grown on calcareous soils. As a peach rootstock, 'GF677' (Prunus dulcis Miller × P. persica (L.) Batsch) has great tolerance to Fe deficiency, but the molecular mechanisms of 'GF677' that support the process of iron deficiency chlorosis tolerance are still unknown. In this study, the key factors for differential iron deficiency chlorosis tolerance in two contrasting rootstocks (IDC-tolerant: 'GF677', IDC-susceptible: 'Maotao' (P. persica)) were investigated. 'GF677' exhibited greater Fe transfer and accumulation capacities when compared with 'Maotao', and the analysis of photosynthetic pigments, related precursors, and antioxidative enzyme activities further demonstrated that 'GF677' was more tolerant to IDC when compared with 'Maotao'. Furthermore, comparative transcriptome analysis revealed differential expression in many genes involved in iron transport and storage, and in photosynthesis recovery. These results suggest that the greater IDC tolerance of 'GF677' can be attributed to the greater expression of key genes related to specific Fe transporters, defense systems, photosynthetic recovery, and/or special proteins.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13205-021-03046-6.

LC-Q-TOF-MS/MS detection of food flavonoids: principle, methodology, and applications

Flavonoids have been attracting increasing research interest because of their multiple health promoting effects. However, many flavonoids with similar structures are present in foods, often at low concentrations, which increases the difficulty of their separation and identification. Liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (LC-Q-TOF-MS/MS) has become one of the most widely used techniques for flavonoid detection. LC-Q-TOF-MS/MS can achieve highly efficient separation by LC; it also provides structural information regarding flavonoids by Q-TOF-MS/MS. This review presents a comprehensive summary of the scientific principles and detailed methodologies (e.g., qualitative determination, quantitative determination, and data processing) of LC-Q-TOF-MS/MS specifically for food flavonoids. It also discusses the recent applications of LC-Q-TOF-MS/MS in determination of flavonoid types and contents in agricultural products, changes in their structures and contents during food processing, and metabolism in vivo after consumption. Moreover, it proposes necessary technological improvements and potential applications. This review would facilitate the scientific understanding of theory and technique of LC-Q-TOF-MS/MS for flavonoid detection, and promote its applications in food and health industry.

Antioxidant Activity and Anti-Apoptotic Effect of the Small Molecule Procyanidin B1 in Early Mouse Embryonic Development Produced by Somatic Cell Nuclear Transfer

As an antioxidant, procyanidin B1(PB1) can improve the development of somatic cell nuclear transfer (SCNT) embryos; PB1 reduces the level of oxidative stress (OS) during the in vitro development of SCNT embryos by decreasing the level of reactive oxygen species (ROS) and increasing the level of glutathione (GSH) and mitochondrial membrane potential (MMP). Metabolite hydrogen peroxide (H₂O₂) produces OS. Catalase (CAT) can degrade hydrogen peroxide so that it produces less toxic water (H₂O) and oxygen (O₂) in order to reduce the harm caused by H₂O₂. Therefore, we tested the CAT level in the in vitro development of SCNT embryos; it was found that PB1 can increase the expression of CAT, indicating that PB1 can offset the harm caused by oxidative stress by increasing the level of CAT. Moreover, if H₂O₂ accumulates excessively, it produces radical-(HO-) through Fe^2+/3+ and damage to DNA. The damage caused to the DNA is mainly repaired by the protein encoded by the DNA damage repair gene. Therefore, we tested the expression of the DNA damage repair gene, OGG1. It was found that PB1 can increase the expression of OGG1 and increase the expression of protein. Through the above test, we proved that PB1 can improve the repairability of DNA damage. DNA damage can lead to cell apoptosis; therefore, we also tested the level of apoptosis of blastocysts, and we found that PB1 reduced the level of apoptosis. In summary, our results show that PB1 reduces the accumulation of H₂O₂ by decreasing the level of OS during the in vitro development of SCNT embryos and improves the repairability of DNA damage to reduce cell apoptosis. Our results have important significance for the improvement of the development of SCNT embryos in vitro and provide important reference significance for diseases that can be treated using SCNT technology.

An Untargeted Metabolomics Approach for Correlating Pulse Crop Seed Coat Polyphenol Profiles with Antioxidant Capacity and Iron Chelation Ability

Pulse crop seed coats are a sustainable source of antioxidant polyphenols, but are typically treated as low-value products, partly because some polyphenols reduce iron bioavailability in humans. This study correlates antioxidant/iron chelation capabilities of diverse seed coat types from five major pulse crops (common bean, lentil, pea, chickpea and faba bean) with polyphenol composition using mass spectrometry. Untargeted metabolomics was used to identify key differences and a hierarchical analysis revealed that common beans had the most diverse polyphenol profiles among these pulse crops. The highest antioxidant capacities were found in seed coats of black bean and all tannin lentils, followed by maple pea, however, tannin lentils showed much lower iron chelation among these seed coats. Thus, tannin lentils are more desirable sources as natural antioxidants in food applications, whereas black bean and maple pea are more suitable sources for industrial applications. Regardless of pulse crop, proanthocyanidins were primary contributors to antioxidant capacity, and to a lesser extent, anthocyanins and flavan-3-ols, whereas glycosylated flavonols contributed minimally. Higher iron chelation was primarily attributed to proanthocyanidin composition, and also myricetin 3-O-glucoside in black bean. Seed coats having proanthocyanidins that are primarily prodelphinidins show higher iron chelation compared with those containing procyanidins and/or propelargonidins.