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21 pages, 3895 KiB  
Article
Transcriptomic Analysis of Wheat Under Multi LED Light Conditions
by Lei Sun, Ding Li, Chunhong Ma, Bo Jiao, Jiao Wang, Pu Zhao, Fushuang Dong and Shuo Zhou
Plants 2025, 14(1), 46; https://doi.org/10.3390/plants14010046 - 27 Dec 2024
Viewed by 85
Abstract
Light is a vital environmental cue that profoundly influences the development of plants. LED lighting offers significant advantages in controlled growth environments over fluorescent lighting. Under monochromatic blue LED light, wheat plants exhibited reduced stature, accelerated spike development, and a shortened flowering period [...] Read more.
Light is a vital environmental cue that profoundly influences the development of plants. LED lighting offers significant advantages in controlled growth environments over fluorescent lighting. Under monochromatic blue LED light, wheat plants exhibited reduced stature, accelerated spike development, and a shortened flowering period with increased blue light intensity promoting an earlier heading date. In this study, we conducted a comprehensive transcriptome analysis to investigate the molecular mechanisms underlying wheat plants’ response to varying light conditions. We identified 34 types of transcription factors (TFs) and highlighted the dynamic changes of key families such as WRKY, AP2/ERF, MYB, bHLH, and NAC, which play crucial roles in light-induced gene regulation. Additionally, this study revealed differential effects of blue and red light on the expression levels of genes related to hormones such as cytokinin (CK) and salicylic acid (SA) synthesis as well as significant changes in pathways such as flavonoid biosynthesis, circadian rhythms, chlorophyll synthesis, and flowering. Particularly, blue light upregulated genes involved in chlorophyll synthesis, contrasting with the downregulation observed under red light. Furthermore, blue light enhanced the expression of anthocyanin synthesis-related genes, such as CHS, underscoring its role in promoting anthocyanin accumulation. These findings provide valuable insights into how light quality impacts crop growth and development. Full article
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Figure 1
<p>Effects of different light treatments on plant growth. (<b>A</b>) Development of spikes under blue light and white light treatments, (a) white light; (b) blue light; (<b>B</b>) height of the plants; and (<b>C</b>) development of spikes under varying light intensities, (a) 56.7 μmol/m<sup>2</sup> s; (b) 49.3 μmol/m<sup>2</sup> s; (c) 35.6 μmol/m<sup>2</sup> s; and (d) 23.7 μmol/m<sup>2</sup> s. (<b>D</b>,<b>E</b>) Statistics of spike length under blue and white light conditions and varying light intensities, respectively.</p>
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<p>Global view of transcriptome expression and differential gene expression. (<b>A</b>) The experimental design schematic. The experiment included four light treatments: blue light, red light, white light, and a 1:1 mixture of red and blue light. Exposure was initiated from dark conditions, and samples were taken at three time points: 1 h (1 h), 6 h (6 h), and 14 days (14 d). Differentially expressed genes (DEGs) were identified by comparing the gene expression profiles at each time point under the respective light treatments with those under white light conditions. (<b>B</b>) Spearman correlation coefficient (SCC) of gene expression profiles between samples; (<b>C</b>) principal component analysis (PCA) of samples distinguished by different colors with three biological repeats; (<b>D</b>) petal plot, where each petal represents the number of uniquely expressed genes during that time period; and (<b>E</b>) number of differentially expressed genes over time under white light conditions.</p>
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<p>Transcription factor ridge plot showing the changes in number and types of transcription factors under different light conditions compared to white light at 1 h, 6 h, and 14 d.</p>
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<p>Expression changes in hormone synthesis-related genes under different light treatments. Heatmaps represent the log2 fold change (log2FC) values of gene expression levels involved in the GA, SA, ABA, CK, JA, and ethylene synthesis pathways compared to white light conditions. Each time point is represented by three treatments in three colors: blue for blue light, red for red light, and gray for a 1:1 mixture of blue and red light.</p>
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<p>Analysis of pathway enrichment in response to different light conditions. (<b>A</b>) KEGG enrichment analysis. KEGG pathway enrichment analysis was performed on differentially expressed genes (DEGs) identified by comparing the gene expression profiles under each light treatment with those under white light conditions at the same time points. The pathways were ranked according to the total number of enriched genes across all conditions, and the results are visualized using a heatmap, with the specific differentially expressed genes and their enrichment analysis under various light conditions relative to white light. (<b>B</b>) GO enrichment analysis of unique DEGs. By comparing samples from each light condition with those from white light, genes that were significantly differentially expressed under each light condition were filtered, then unique condition-specific differential DEGs were screened for GO enrichment analysis. Left and right panels are GO enrichment analysis of unique DEGs in white light compared to blue and red light at 14 d, separately. (<b>C</b>) Changes in chlorophyll content after treatment under blue and red light.</p>
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<p>Genes associated with the circadian clock. (<b>A</b>) Partial and core genes in the circadian rhythm plant pathway. (<b>B</b>) Heatmap showing the expression levels of clock-related genes. (<b>C</b>) Heatmap illustrating the expression levels of VRN family genes, supplemented with qRT-PCR validation results. (<b>D</b>) qRT-PCR validation and RNA-seq expression profiles for selected genes.</p>
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<p>Gene co-expression network analysis. (<b>A</b>) Gene module classification heatmap showing the standardized log(fpkm) values of genes, which can be categorized into three classes based on their expression patterns. (<b>B</b>) Schematic diagram of selected gene network interactions. (<b>C</b>) Expression patterns of modules 3 and 7. (<b>D</b>) Expression patterns of four bHLH genes among 404 neighbor genes.</p>
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16 pages, 8031 KiB  
Article
CaHY5 Mediates UV-B Induced Anthocyanin Biosynthesis in Purple Pepper
by Xiang Zhang, Yunrong Mo, Huidan Zhou, Mengjuan Li, Hong Cheng, Pingping Li, Ruihao Zhang, Yaoyao Huang, Yanyan Wang, Junqiang Xu, Jingjing Liao, Qiaoli Xie, Kai Zhao, Minghua Deng and Junheng Lv
Agronomy 2025, 15(1), 28; https://doi.org/10.3390/agronomy15010028 - 26 Dec 2024
Viewed by 132
Abstract
Anthocyanins are important flavonoid compounds in plants that are associated with the color formation and antioxidant activity of flowers, fruits, and other organs. Ultraviolet B radiation (UV-B) is one of the key environmental factors that influence anthocyanin accumulation in plants and HY5 is [...] Read more.
Anthocyanins are important flavonoid compounds in plants that are associated with the color formation and antioxidant activity of flowers, fruits, and other organs. Ultraviolet B radiation (UV-B) is one of the key environmental factors that influence anthocyanin accumulation in plants and HY5 is involved in plant photomorphogenesis. However, the molecular mechanism of the signal network of UV-B regulating anthocyanin biosynthesis in capsicum via HY5 remains unclear. In this study, we identified the transcription factor CaHY5, which mediates UV-B signaling, and demonstrated its regulatory role in anthocyanin biosynthesis in purple pepper (Capsicum annuum L.). The results showed that there were photoresponsive and hormone-responsive elements on the CaHY5 promoter that responded to UV-B, indoleacetic acid, salicylic acid, 6-benzyladenine, abscisic acid, and melatonin treatments. UV-B treatment induced the expression of CaHY5 and anthocyanin structural genes. CaHY5 gene-silenced positive plants showed different degrees of the yellowing phenomenon, which affected the expression of the anthocyanin biosynthesis structural gene. The expression levels of anthocyanin biosynthesis-related genes in CaHY5-silenced positive plants increased considerably. This study provides insights into the role of CaHY5 in UV-B-induced anthocyanin biosynthesis in purple pepper. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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<p>Effects of different treatments on leaf phenotype of purple pepper. The leaves in the figure show the phenotype of pepper leaves under different treatments. The bottom pair of the leaf should visualize the color block and hexadecimal color code of the leaf color.</p>
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<p>Heat map clustering of TFs and ABGs in pepper under different light conditions.</p>
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<p>Phylogenic tree of HY5 transcription factors (TFs)and motif analysis of amino acids in HY5 of different species. (<b>A</b>) Phylogenetic tree comprising CaHY5 in purple pepper and 50 HY5 TFs in plant. (<b>B</b>) Motif analysis of HY5 protein in purple pepper and 50 other plants.</p>
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<p>Subcellular localization of CaHY5 in purple pepper. (<b>A</b>) It was the schematic diagram of pCAHY5-AN580-GFP vector construction. (<b>B</b>) Green fluorescent protein (GFP) signals indicated that CaHY5 was localized to nucleus. GFP fluorescence signals were detected using a Zeiss lsm710 confocal laser scanning microscope.</p>
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<p>Upstream cis-element analysis of CaHY5 and heat map of CaHY5 expression under different exogenous factors. (<b>A</b>) Cis-element analysis of 2000 bp upstream of CaHY5 in purple pepper. (<b>B</b>) The expression levels of CaHY5 TFs after 0.5–6 h treatment with IAA, SA, 6BA, ABA, and MT.</p>
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<p>Anthocyanin biosynthetic pathway, VIGS vector, silenced plant phenotype and related gene expression level. (<b>A</b>) Schematic diagram of anthocyanin biosynthesis pathway. (<b>B</b>) VIGS vector construction diagram. (<b>C</b>) Pepper’s phenotype of VIGS. CK is pepper without inoculation; pTRV2::00 was inoculated with pTRV2 empty vector strain. pTRV2:: CaHY5 was a silent plant of CaHY5. (<b>D</b>) Expression levels of CaHY5 TFs and anthocyanin biosynthesis-related genes after CaHY5 silencing. (<b>E</b>) Effects of different light conditions on genes related to anthocyanin biosynthesis in silenced pepper. The same letters represent no significant difference (<span class="html-italic">p</span> ≥ 0.05), while different letters represent significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>GUS staining of pepper tissues and related gene expression level. (<b>A</b>) Staining of 35S:GUS and 35S:CaHY5-GUS pepper tissues. (<b>B</b>) Expression levels of TFs and ABGs after CaHY5 transient overexpression. The same letters represent no significant difference (<span class="html-italic">p</span> ≥ 0.05), while different letters represent a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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14 pages, 3654 KiB  
Article
Optimizing the Micropropagation of Red-Stalked Rhubarb Selections: A Strategy for Mass Production of High-Quality Planting Material
by Agnieszka Wojtania and Piotr Waligórski
Agronomy 2025, 15(1), 27; https://doi.org/10.3390/agronomy15010027 - 26 Dec 2024
Viewed by 230
Abstract
Culinary rhubarb is grown for its large, thick leaf petioles. Red-stalked cultivars and selection are more attractive for the fresh market and processing industry. In vitro cultures are important for rapidly multiplying value genotypes and producing plants free of viruses. This study aimed [...] Read more.
Culinary rhubarb is grown for its large, thick leaf petioles. Red-stalked cultivars and selection are more attractive for the fresh market and processing industry. In vitro cultures are important for rapidly multiplying value genotypes and producing plants free of viruses. This study aimed to develop an in vitro propagation method for six rhubarb selections from the Raspberry (R1, R2, R3), Leader (L1, L2), and Karpow Lipskiego (KL) groups. In addition, the planting material of six rhubarb selections was subjected to phytochemical analysis using the HPLC method to assess the content of bioactive compounds. The cultures were initiated from underground buds on the crowns. The initial growth was obtained for 45 to 75% of initial explants because of bacterial contamination and low bud activity of some genotypes. The type and concentration of cytokinin and its interaction with gibberellin acid (GA3) were shown to have a significant effect on the cyclic multiplication and commercially interesting rate of all rhubarb genotypes. A high in vitro rooting frequency, 93.7 to 95.8% for rhubarb Raspberry, 94.3 to 100% for rhubarb Leader, and 96.7% KP selections were obtained after two-cycle rooting on a medium containing IBA and NAA. The polyphenolic compounds, such as cyanidin-3-O-rutinoside, rhaponticin, resveratrol, caffeic acid, p-coumaric acid, cinnamic acid, syringic acid, and ferulic acid were detected in selected rhubarb genotypes. The highest content of anthocyanins (2.9 mg·1 g−1 DM) and rhaponticin (107.8 µg·1 g−1 DM) was found in Raspberry selections. On the other hand, Leader selections were characterized by the highest content of resveratrol (0.25 µg·1 g−1 DM) and phenolic acids (1.3 µg·1 g−1 DM). The less attractive for functional food production seems to be KL selection. Full article
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<p>Extraction of initiate buds from the rhubarb crowns.</p>
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<p>Initial shoot development after 6 weeks (two 3-week subcultures) of growing on MS medium containing 3 mg·L<sup>−1</sup> meta-topolin and 0.1 mg·L<sup>−1</sup> GA<sub>3</sub>; on the right: the initial shoots of L1, L2, R1, R2, and R3.</p>
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<p>Effect of different cytokinin types (BAP, meta-topolin, zeatin) and concentrations (1.5, 2.0, 3.0, 4.0, 5.0 mg·L<sup>−1</sup>) on the induction of shoot formation of different clones of rhubarb Raspberry (R1, R2, R3), Leader (L1, L3), and Karpow Lipskiego after culture initiation. Data were recorded after four subcultures (each three weeks) on the same medium. Bars represent means ± SE; values are marked with the same letter within each genotype and do not differ significantly according to Duncan’s test (<span class="html-italic">p</span> ≤ 0.05) (<span class="html-italic">n</span> = 20); the lowest value is marked with “a”.</p>
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<p>Effect of cytokinin type on the shoot formation and quality of different rhubarb genotypes at early stage in vitro; (<b>A</b>) Raspberry 3 on mT-medium, (<b>B</b>) Leader 1 on BAP-medium, (<b>C</b>) Leader 1 on medium with zeatin.</p>
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<p>Effect of gibberellic acid (GA<sub>3</sub>) added at different concentrations (0.5 or 1.0 mg·L<sup>−1</sup>) to the medium containing 3 mg·L<sup>−1</sup> mT (Raspberry) or 2 mg·L<sup>−1</sup> BAP (Leader and Karpow Lipskiego). Data on the number and length of shoots were recorded after two subcultures (each three weeks long) on the same medium. Bars represent means ± SE; values are marked with the same letter within each genotype and do not differ significantly according to Duncan’s test (<span class="html-italic">p</span> ≤ 0.05) (<span class="html-italic">n</span> = 72); the lowest value is marked with “a”.</p>
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<p>Rooting response (rooting percentage, number of roots per shoot) of different rhubarb genotypes after growth for four weeks (2 rooting cycles) in modified MS medium (50% nitrogen salts) without auxin (control), supplemented IBA alone (1.0 and 2.0 mg·L<sup>−1</sup>) or IBA + NAA (each 1 mg·L<sup>−1</sup>). Bars represent means ± SE; values are marked with the same letter within each genotype and do not differ significantly according to Duncan’s test (<span class="html-italic">p</span> ≤ 0.05), (<span class="html-italic">n</span> = 72); the lowest value is marked with “a”.</p>
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<p>Effect of auxins and rooting cycle on the rooting efficiency of different rhubarb selections. Upper row—one-cycle rooting: (<b>A</b>) R1 after four weeks on control medium; (<b>B</b>,<b>C</b>) R1 after four weeks on medium with IBA + NAA; Lower row—two-cycle rooting, each 2 weeks: (<b>D</b>) R1 after two weeks on medium with 2 mg·L<sup>−1</sup> IBA; (<b>E</b>) R1 after two weeks on medium with IBA + NAA; (<b>F</b>) L1 after 2 weeks on medium with IBA + NAA; (<b>G</b>) KL after 2 weeks on medium with IBA + NAA; (<b>H</b>) roots of R1 after two weeks on medium with IBA + NAA.</p>
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<p>In vitro propagated rhubarb plantlets of different rhubarb selections after 10 weeks of growth in the greenhouse; from the left—R1, L1, and KL.</p>
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<p>Content of anthocyanins (cyanidin 3-rutinoside and cyanidin 3-glucoside) and stilbenoids (rhaponticin, resveratrol) in the leaf petioles of rhubarb Raspberry, Leader, and Karpow Lipskiego selections during ex vitro growth in the greenhouse. Results are the means of 3 replicates (<span class="html-italic">n</span> = 3). Bars represent means ± SE; values are marked with the same letter within each phenolic compound and do not differ significantly according to Duncan’s test (<span class="html-italic">p</span> ≤ 0.05); the lowest value is marked with “a”; * nd—not detected.</p>
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<p>Content of phenolic acids in the leaf petioles of rhubarb Raspberry, Leader, and Karpow Lipskiego selections during ex vitro growth in the greenhouse. Results are the means of 3 replicates (<span class="html-italic">n</span> = 3). Bars represent means ± SE; values are marked with the same letter within each phenolic acid and do not differ significantly according to Duncan’s test (<span class="html-italic">p</span> ≤ 0.05); the lowest value is marked with “a”.</p>
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20 pages, 6521 KiB  
Article
Genome-Wide Identification and Expression Analysis of Eggplant Reveals the Key MYB Transcription Factor Involved in Anthocyanin Synthesis
by Jiaqi Ai, Wuhong Wang, Tianhua Hu, Haijiao Hu, Yaqin Yan, Jinglei Wang, Yunzhu Wang, Na Hu, Hongtao Pang, Chonglai Bao and Qingzhen Wei
Horticulturae 2025, 11(1), 12; https://doi.org/10.3390/horticulturae11010012 - 26 Dec 2024
Viewed by 199
Abstract
MYB transcription factors (TFs) represent one of the largest gene families in plants, and previous studies have demonstrated their involvement in regulating anthocyanin synthesis. Eggplant is an important anthocyanin-rich solanaceae vegetable crop. In this study, a total of 219 MYB gene-family members were [...] Read more.
MYB transcription factors (TFs) represent one of the largest gene families in plants, and previous studies have demonstrated their involvement in regulating anthocyanin synthesis. Eggplant is an important anthocyanin-rich solanaceae vegetable crop. In this study, a total of 219 MYB gene-family members were identified using the complete and high-quality eggplant genome, comprising 105 1R-MYBs, 107 R2R3-MYBs, 5 3R-MYBs, and 2 4R-MYBs. Using phylogenetic analysis, we divided them into 33 subfamilies. Members of the SmeMYB gene family are unevenly distributed on 12 chromosomes, but are mainly concentrated at the upper and lower ends of the chromosomes. In addition, the expression levels of R2R3-MYBs in differently colored eggplant tissues (peel, calyx, stem, flower, and leaf) were investigated with RNA-seq (RNA sequencing). A total of 13 differentially expressed R2R3-MYB transcription factors related to the synthesis of anthocyanins in different eggplant tissues were screened out. SmeMYB110, SmeMYB175, and SmeMYB182 were also found to play significant roles in this process. Furthermore, 10 MYB TFs were identified as potential genes regulating anthocyanin synthesis in different tissues. The quantitative real-time PCR (qRT-PCR) analysis results showed that SmeMYB175 was regarded as the most likely key transcription factor regulating anthocyanin synthesis in calyx. These results not only deepen our understanding of the MYB gene family in eggplant but also lay a solid foundation for further research on the regulation of SmeR2R3-MYBs in anthocyanin synthesis across diverse eggplant tissues. Full article
(This article belongs to the Special Issue A Decade of Research on Vegetable Crops: From Omics to Biotechnology)
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<p>Chromosomal mapping of the MYB gene family in eggplant.</p>
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<p>Collinearity analysis of MYB gene-family members in eggplant.</p>
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<p>Phylogenetic relationships, gene structures, and motif composition of SmeR2R3-MYB gene-family members: (<b>a</b>) phylogenetic tree of SmeR2R3-MYB gene-family members; (<b>b</b>) conserved motifs of SmeR2R3-MYBs; and (<b>c</b>) gene structure of SmeR2R3-MYBs.</p>
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<p>Sequence logos of the conserved R2 and R3 repeats of the SmeR2R3-MYB domain: (<b>a</b>) sequence logo of R2 in SmeR2R3-MYBs; (<b>b</b>) sequence logo of R3 in SmeR2R3-MYBs.</p>
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<p>Phylogenetic tree of R2R3-MYB for major vegetable crops in the Solanaceae family. The major vegetable crops in the Solanaceae family include tomato (SlR2R3-MYB), eggplant (SmeR2R3-MYB), pepper (CaR2R3-MYB), and potato (StR2R3-MYB). The phylogenetic evolutionary tree was constructed and divided into 39 subfamilies (E1–E39). The corresponding Arabidopsis subfamilies (S1–S28) were also labeled.</p>
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<p>Expression levels of SmeR2R3-MYB DEGs in different colors of different tissues. The patches of different colors indicate the expression levels of SmeR2R3-MYB DEGs in different colors of different tissues. The connecting lines on the left represent cluster analysis. (<b>a</b>) Expression levels of DEGs in dark-purple stem (DPS), purple-green stem (PGS), and green stem (GS); (<b>b</b>) DEG expression levels in dark-purple calyx (DPC), purple-green calyx (PGC), and green calyx (GC); (<b>c</b>) DEG expression levels in dark-purple flower (DPF), purple flower (PF), and white flower (WF); (<b>d</b>) DEG expression levels in purple-black peel (B), purple-red peel (P), green peel (G), and white peel (W); and (<b>e</b>) DEG expression levels in dark-purple leaf (DPL), purple-green leaf (PGL), and green leaf (GL).</p>
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<p>Relative expression levels of candidate gene of calyx in eggplant. Relative expression levels of (<b>a</b>) <span class="html-italic">SmeMYB26</span> in different colors of calyx, (<b>b</b>) <span class="html-italic">SmeMYB110</span> in different colors of calyx, (<b>c</b>) <span class="html-italic">SmeMYB175</span> in different colors of calyx, and (<b>d</b>) <span class="html-italic">SmeMYB186</span> in different colors of calyx.</p>
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21 pages, 7437 KiB  
Article
Transcriptomic Insights into Higher Anthocyanin Accumulation in ‘Summer Black’ Table Grapes in Winter Crop Under Double-Cropping Viticulture System
by Congqiao Wang, Chengyue Li, Youhuan Li, Yue Zeng, Jie Jiang, Linhui Wu, Siyu Yang, Dan Yuan, Lifang Chen, Zekang Pei, Viola Kayima, Haidi Liu, Zhipeng Qiu and Dongliang Qiu
Plants 2025, 14(1), 26; https://doi.org/10.3390/plants14010026 - 25 Dec 2024
Viewed by 40
Abstract
Anthocyanins are responsible for grape (Vitis vinifera L.) skin color. To obtain a more detailed understanding of the anthocyanin regulatory networks across’ the summer and winter seasons in grapes under a double-cropping viticulture system, the transcriptomes of ‘Summer Black’ grapes were analyzed [...] Read more.
Anthocyanins are responsible for grape (Vitis vinifera L.) skin color. To obtain a more detailed understanding of the anthocyanin regulatory networks across’ the summer and winter seasons in grapes under a double-cropping viticulture system, the transcriptomes of ‘Summer Black’ grapes were analyzed using RNA sequencing. The average daily temperature during the harvest stage in the summer crop, ranging from 26.18 °C to 32.98 °C, was higher than that in the winter crop, ranging from 11.03 °C to 23.90 °C. Grapes from the winter crop accumulated a greater content of anthocyanins than those from the summer crop, peaking in the harvest stage (E-L38) with 207.51 mg·100 g−1. Among them, malvidin-3-O-glucoside (Mv-3-G) had the highest monomer content, accounting for 32%. The content of Cy-3-G during winter increased by 55% compared to summer. KEGG analysis indicated that the flavonoid biosynthesis and circadian rhythm—plant pathways are involved in the regulation of anthocyanin biosynthesis during fruit development. Pearson’s coefficient showed significant positive correlations between anthocyanin content and the VvDFR, VvUFGT, VvOMT, VvMYB, and VvbHLH genes in the winter crop; at full veraison stage, their expressions were 1.34, 1.98, 1.28, 1.17, and 1.34 times greater than in summer, respectively. The higher expression of VvUFGT and VvOMT led to higher contents of Cy-3-G and Mv-3-G in the winter berries, respectively. Full article
(This article belongs to the Special Issue Horticultural Plant Cultivation and Fruit Quality Enhancement)
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<p>The mean daily temperature throughout the growth of grape berries. (<b>a</b>) Summer crop daily average temperature trends. (<b>b</b>) Winter crop daily average temperature trends. Developmental stages: pruning (E-L 1); 5 leaves separated (E-L 12); berry pea size (E-L 31); green berries (E-L 33); beginning of veraison (E-L 35); full veraison (E-L 36); end of veraison (E-L 37); and harvest stage (E-L 38). Points a, b, and c denote measurements at the front, middle, and back of the greenhouses for the summer crop. Points d, e, and f denote measurements at the front, middle, and back of the greenhouses for the winter crop.</p>
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<p>The effect of seasonal treatment on the content of anthocyanins in ‘Summer Black’ grape berries. (<b>a</b>) Grape berries in different developmental stages in winter and summer crops. (<b>b</b>) Total anthocyanin content in winter and summer crops. (<b>c</b>) Del-phinidin-3-O-glucoside (Dp-3-G) content in winter and summer crops. (<b>d</b>) Cyanidin-3-O-glucoside (Cy-3-G) content in winter and summer crops. (<b>e</b>) Petunidin-3-O-glucoside (Pt-3-G) content in winter and summer crops. (<b>f</b>) Peonidin-3-O-glucoside (Pn-3-G) content in winter and summer crops. (<b>g</b>) Malvidin-3-O-glucoside (Mv-3-G) content in winter and summer crops. Developmental stages: green berries (E-L 33); beginning of veraison (E-L 35); full veraison (E-L 36); end of veraison (E-L 37); and harvest stage (E-L 38). The vertical bars indicate the standard error of the mean (SEM). Statistical significance is denoted by distinct letters (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Analysis of gene expression profiles in the transcriptome. (<b>a</b>) Pearson correlation matrix of samples using transcriptome data. (<b>b</b>) Comparison analysis of gene expression levels across different experimental settings. (<b>c</b>) Principal component analysis (PCA) using gene expression levels. (<b>d</b>) Number of DEGs identified from seasonal comparisons. (<b>e</b>) Top 20 KEGG enrichment bubble map for DEGs between WE-L 38 and SE-L 38. Treatments: green berries from summer crop (SE-L33); full veraison in summer crop (SE-L36); harvest stage in summer crop (SE-L38); green berries from winter crop (WE-L33); full veraison in winter crop (WE-L36); and harvest stage in winter crop (WE-L38).</p>
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<p>Differentially expressed genes (DEGs) in the circadian rhythm—plant pathway and flavonoid biosynthesis pathway under double-cropping cultivation. (<b>a</b>) DEGs in the circadian rhythm—plant pathway. (<b>b</b>) DEGs in the flavonoid biosynthesis pathway. Treatments: green berries from the summer crop (SE-L33) and full veraison in summer crop (SE-L36). (<b>c</b>) RT-qPCR validation of DEGs identified in RNA-seq analysis. (<b>d</b>) Pearson’s coefficient for summer crop. (<b>e</b>) Pearson’s coefficient for winter crop. Treatments: harvest stage in summer crop (SE-L38); green berries from winter crop (WE-L33); full veraison in winter crop (WE-L36); and harvest stage in winter crop (WE-L38). Orange boxes represent upregulated genes, while dark blue boxes represent downregulated genes. The red frame represents the summer crop, and the blue frame represents the winter crop. *, ** and *** indicate <span class="html-italic">p</span> ≤ 0.05, <span class="html-italic">p</span> ≤ 0.01, <span class="html-italic">p</span> ≤ 0.001, respectively.</p>
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<p>The effect of berry thinning (BT), basal leaf removal (LR), and their combination on the content of anthocyanins in ‘Summer Black’ grape berries in the harvest stage (E-L 38). (<b>a</b>) Visual appearance of representative bunches of ‘Summer Black’ table grapes harvested from vines subjected to treatments of berry thinning (BT), basal leaf removal (LR), and their combination. (<b>b</b>) BT+LR treatment anthocyanin content. (<b>c</b>) BT treatment anthocyanin content. (<b>d</b>) LR treatment anthocyanin content. (<b>e</b>) Control treatment anthocyanin content. (<b>f</b>) BT+LR treatment anthocyanin-related gene expression. (<b>g</b>) BT treatment anthocyanin-related gene expression. (<b>h</b>) LR treatment anthocyanin-related gene expression. (<b>i</b>) Control treatment anthocyanin-related gene expression. (<b>j</b>) Test of intersubjective effects of seasonal treatments and pruning techniques on anthocyanin content. (<b>k</b>) Test of intersubjective effects of seasonal treatments and pruning techniques on related gene expression. Developmental stages: green berries (E-L 33); full veraison (E-L 36); and harvest stage (E-L 38). The vertical bar denotes the standard error of the mean (SEM). Statistical significance is denoted by different letters (<span class="html-italic">p</span> &lt; 0.05). *, ** and *** indicate <span class="html-italic">p</span> ≤ 0.05, <span class="html-italic">p</span> ≤ 0.01, <span class="html-italic">p</span> ≤ 0.001, respectively.</p>
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<p>The molecular mechanism of the regulation of grape anthocyanin metabolism: cyanidin-3-O-glucoside (Cy-3-G), peonidin-3-O-glucoside (Pn-3-G), malvidin-3-O-glucoside (Mv-3-G), delphinidin-3-O-glucoside (Dp-3-G), and petunidin-3-O-glucoside (Pt-3-G).</p>
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21 pages, 5885 KiB  
Article
Chemical Profile and Antibacterial Activity of Vitis vinifera L. cv Graciano Pomace Extracts Obtained by Green Supercritical CO2 Extraction Method Against Multidrug-Resistant Escherichia coli Strains
by Rocío Fernández-Pérez, Silvia Ayuso, Cristina Moreta, María-José Saiz-Abajo, Miguel Gastón-Lorente, Fernanda Ruiz-Larrea and Carmen Tenorio
Foods 2025, 14(1), 17; https://doi.org/10.3390/foods14010017 - 25 Dec 2024
Viewed by 46
Abstract
The objectives of this study were to obtain and characterise polyphenolic extracts from red grape pomace of Vitis vinifera L. cv Graciano via conventional solvent extraction (SE) and green supercritical fluid extraction (SFE) and to evaluate their in vitro antibacterial activity against susceptible [...] Read more.
The objectives of this study were to obtain and characterise polyphenolic extracts from red grape pomace of Vitis vinifera L. cv Graciano via conventional solvent extraction (SE) and green supercritical fluid extraction (SFE) and to evaluate their in vitro antibacterial activity against susceptible and multidrug-resistant Escherichia coli strains of intestinal origin. The SE and SFE methods were optimised, and ultra-performance liquid chromatography/mass spectrometry (UPLC/QqQ-MS/MS) analysis revealed 38 phenolic compounds in the SE sample, with anthocyanins being the predominant polyphenols, and 21 phenolic compounds in the SFE samples, among which hydroxybenzoic acids and flavonols were the predominant compounds. The SE and SFE samples showed antibacterial activity against both antibiotic-susceptible and -resistant E. coli strains, and minimal inhibitory concentration values were in the range of 1–4 mg/mL. The activity was bacteriostatic in all cases, and it was shown that a higher content of total polyphenols correlated with a higher antibacterial activity of the extracts. This study shows that red grape pomace of Vitis vinifera L. cv. Graciano is a rich source of bioactive phenolic compounds that can become an important feedstock for additives and other upgraded products of biotechnological interest, which can help to modulate intestinal microbiota and combat bacterial antibiotic resistance. Full article
(This article belongs to the Section Food Microbiology)
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<p>Three-dimensional contour and response surface plots of the variations in the total phenolic content (µg<sub>GAE</sub>/g<sub>DW</sub>) of SE samples. (<b>A</b>,<b>B</b>) Results at fixed extraction time of 3 h. (<b>C</b>,<b>D</b>) Results at 40 °C fixed temperature. (<b>E</b>,<b>F</b>) Results at fixed ethanol concentration of 50%.</p>
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<p>Three-dimensional contour and response surface plots of the variations in the antioxidant activity (mg<sub>Trolox</sub>/g<sub>DW</sub>) of the SE samples. (<b>A</b>,<b>B</b>) Results at fixed extraction time of 3 h. (<b>C</b>,<b>D</b>) Results at 40 °C fixed temperature. (<b>E</b>,<b>F</b>) Results at fixed ethanol concentration of 50%.</p>
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<p>Total phenolic content (<b>A</b>) (expressed as µg of equivalent gallic acid per g of dried sample) and antioxidant activity (<b>B</b>) (expressed as mg of equivalent Trolox per g of dried sample) of SFE samples. Data are expressed as mean values ± standard deviation of triplicate samples. Different letters indicate significantly different values (<span class="html-italic">p</span> ≤ 0.05). Samples recovered from the first extractor: SF1.1, SF2.1, SF3.1. Samples recovered from separator A: SF1.2, SF2.2, SF3.2. Samples recovered from separator B: SF1.3, SF2.3, SF3.3. Samples from assay SF1 <span class="html-fig-inline" id="foods-14-00017-i001"><img alt="Foods 14 00017 i001" src="/foods/foods-14-00017/article_deploy/html/images/foods-14-00017-i001.png"/></span>. Samples from assay SF2 <span class="html-fig-inline" id="foods-14-00017-i002"><img alt="Foods 14 00017 i002" src="/foods/foods-14-00017/article_deploy/html/images/foods-14-00017-i002.png"/></span>. Samples from assay SF3 <span class="html-fig-inline" id="foods-14-00017-i003"><img alt="Foods 14 00017 i003" src="/foods/foods-14-00017/article_deploy/html/images/foods-14-00017-i003.png"/></span>.</p>
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<p>Growth curves of the multidrug-resistant <span class="html-italic">E. coli</span> C6840 strain in the presence of increasing concentrations (mg/mL) of each of the polyphenolic extracts: (<b>A</b>) SF1.3, (<b>B</b>) SF2.3, (<b>C</b>) SF3.3 and (<b>D</b>) Es. Each dot represents the mean value of triplicates, and bars indicate standard deviations; 0 mg/mL: optical density of control samples of bacterial growth without inhibitors.</p>
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18 pages, 3182 KiB  
Article
A Comprehensive Evaluation of Nutritional Quality and Antioxidant Capacity of Different Chinese Eggplant Varieties Based on Multivariate Statistical Analysis
by Jian Lyu, Ning Jin, Xianglan Ma, Xueyun Yin, Li Jin, Shuya Wang, Xuemei Xiao and Jihua Yu
Antioxidants 2025, 14(1), 10; https://doi.org/10.3390/antiox14010010 - 25 Dec 2024
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Abstract
Free amino acids, polyphenols, and anthocyanins were quantified in 30 Chinese eggplant varieties. Moreover, antioxidant capacity characterizations including 2, 2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), ferric-reducing antioxidant power (FRAP), and 2,2-diphenyl-1-picrylhydrazyl (DPPH) were performed. The total amino acid content of the 30 eggplant varieties ranged from [...] Read more.
Free amino acids, polyphenols, and anthocyanins were quantified in 30 Chinese eggplant varieties. Moreover, antioxidant capacity characterizations including 2, 2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), ferric-reducing antioxidant power (FRAP), and 2,2-diphenyl-1-picrylhydrazyl (DPPH) were performed. The total amino acid content of the 30 eggplant varieties ranged from 15,267.19 to 26,827.4 mg kg−1 DW. The most abundant amino acids were glutamic acid, arginine, and aspartic acid. The coefficients of variation (CV) for the 20 amino acids ranged from 5.85 to 106.14%, of which 18 free amino acids had CVs > 20%. Total polyphenol and anthocyanin contents ranged from 17,097.41 to 39,474.98 µg g−1 DW and 5.28 to 978.32 µg g−1 DW, respectively. The variability of both polyphenol and anthocyanin components was >20%, with a range of 21.25–102.89%. Chlorogenic acid was the most abundant polyphenol. The total anthocyanin content of purple eggplant varieties was significantly higher than green varieties. Of the purple eggplant varieties, V28 (‘E150725’), V30 (‘1952’), and V16 (‘Weichangqie101’) had significantly higher total anthocyanins than the other eggplant varieties. DPPH, ABTS, and FRAP assays showed peaks at V3 (‘Zhengqie924’). Pearson’s correlation analysis revealed that polyphenols and anthocyanins were the main contributors to the antioxidant capacity of eggplants. A classification model with principal component analysis classified 30 Chinese eggplant varieties into two categories: high and low antioxidant capacities. The top five Chinese eggplant varieties ranked for amino acids, antioxidants, and antioxidant capacity were V29 (‘Zhengqie903’), V24 (‘Zhengqie78’), V1 (‘1871’), V3 (‘Zhengqie924’), and V28 (‘E150725’). These findings provide theoretical basis for high-quality breeding and producer/consumer selection of eggplants. Full article
(This article belongs to the Special Issue New Insights into Phytochemical Antioxidants in Food—2nd Edition)
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<p>(<b>A</b>) Pearson’s correlation analysis and (<b>B</b>) principal component analysis of amino acids in different eggplant varieties. Data are mean values (<span class="html-italic">n</span> = 3). * indicates a significant correlation (<span class="html-italic">p</span> &lt; 0.05) (two-tailed). V1–V30 represent 30 different Chinese eggplant varieties.</p>
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<p>(<b>A</b>) Pearson’s correlation analysis and (<b>B</b>) principal component analysis of polyphenol and anthocyanin components in different eggplant varieties. Data are mean values (<span class="html-italic">n</span> = 3). * indicates a significant correlation (<span class="html-italic">p</span> &lt; 0.05) (two-tailed). V1–V30 represent 30 different Chinese eggplant varieties.</p>
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<p>Difference analysis of (<b>A</b>) total polyphenols, (<b>B</b>) total anthocyanins, (<b>C</b>) vitamin C (VC), (<b>D</b>) 2,2-diphenyl-1-picrylhydrazyl (DPPH), (<b>E</b>) 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and (<b>F</b>) ferric-reducing antioxidant power (FRAP) in 30 eggplant varieties. Different lowercase letters represent significant differences (<span class="html-italic">p</span> &lt; 0.05). V1–V30 represent 30 different Chinese eggplant varieties.</p>
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<p>(<b>A</b>) Pearson’s correlation analysis and (<b>B</b>) principal component analysis of antioxidants and antioxidant capacity in different eggplant varieties. Data are mean values (<span class="html-italic">n</span> = 3). * represents a significant correlation (<span class="html-italic">p</span> &lt; 0.05) (two-tailed). V1–V30 represent 30 different Chinese eggplant varieties.</p>
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<p>Principal component analysis of amino acids, polyphenols, anthocyanins, VC and antioxidant capacity of different eggplant varieties. V1–V30 represent 30 different Chinese eggplant varieties.</p>
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27 pages, 4212 KiB  
Article
Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction
by Ravinder Kumar, Sherry Flint-Garcia, Miriam Nancy Salazar Vidal, Lakshmikantha Channaiah, Bongkosh Vardhanabhuti, Stephan Sommer, Caixia Wan and Pavel Somavat
Antioxidants 2025, 14(1), 9; https://doi.org/10.3390/antiox14010009 - 25 Dec 2024
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Abstract
Purple corn pericarp, a processing waste stream, is an extremely rich source of phytochemicals. Optimal polyphenol extraction parameters were identified using response surface methodology (RSM) by combining a deep eutectic solvent (DES) and ultrasound-assisted extraction (UAE) method. After DES characterization, Plackett–Burman design was [...] Read more.
Purple corn pericarp, a processing waste stream, is an extremely rich source of phytochemicals. Optimal polyphenol extraction parameters were identified using response surface methodology (RSM) by combining a deep eutectic solvent (DES) and ultrasound-assisted extraction (UAE) method. After DES characterization, Plackett–Burman design was used to screen five explanatory variables, namely, time, Temp (temperature), water, Amp (amplitude), and S/L (solid-to-liquid ratio). The total anthocyanin concentration (TAC), total polyphenol concentration (TPC), and condensed tannin (CT) concentration were the response variables. After identifying significant factors, the Box–Behnken design was utilized to identify the optimal extraction parameters. The experimental yields under the optimized conditions of time (10 min), temperature (60 °C), water concentration (42.73%), and amplitude (40%) were 36.31 ± 1.54 g of cyanidin-3-glucoside (C3G), 103.16 ± 6.17 g of gallic acid (GA), and 237.54 ± 9.98 g of epicatechin (EE) per kg of pericarp, with a desirability index of 0.858. The relative standard error among the predicted and experimental yields was <10%, validating the robustness of the model. HPLC analysis identified seven phytochemicals, and significant antioxidant activities were observed through four distinct assays. Metabolomic profiling identified 57 unique phytochemicals. The UAE technique combined with DES can efficiently extract polyphenols from purple corn pericarp in a short time. Full article
(This article belongs to the Special Issue Valorization of Waste Through Antioxidant Extraction and Utilization)
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<p>FTIR spectra of constituents and DESs formulated with different water concentrations.</p>
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<p>Pareto charts showing the influence of the screened factors on responses for total anthocyanins (<b>A</b>), total phenolics (<b>B</b>), and condensed tannins (<b>C</b>).</p>
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<p>(<b>A</b>–<b>F</b>) Response surface plots for the effects of interactions between Time, Temp, Water, Amp, and the S/L ratio on TAC extraction by combining DES with UAE. The red dots indicate the design points above the predicted values and the yellow dots indicate the design points below the predicted values.</p>
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<p>HPLC chromatograms for used standards and identifying anthocyanin (<b>A</b>), phenolic (<b>B</b>) and flavonoid (<b>C</b>) compounds in the optimized extract. Note: Standard peaks identified in the anthocyanin profile belong to (1) cyanidin-3-glucoside, (2) delphinidin, (3) cyanidin chloride, (4) peonidin, (5) malvidin, and (6) pelargonidin chloride. Standard peaks identified in the phenolic profile belong to (1) gallic acid, (2) chlorogenic acid, (3) caffeic acid, (4) ferulic acid, and (5) hesperidin. Standard peaks identified in the flavonoid profile belong to (1) epicatechin, (2) morin, (3) naringin, (4) quercetin, and (5) kaempferol.</p>
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<p>UHPLC-MS chromatogram for the optimized DES extract, identifying some of the bioactive compounds.</p>
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<p>Comparisons of the intensities of bioactive compounds detected in both the aqueous and DES extracts during the metabolomic analysis.</p>
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22 pages, 3422 KiB  
Article
Investigation of Novel Aronia Bioactive Fraction-Alginic Acid Nanocomplex on the Enhanced Modulation of Neuroinflammation and Inhibition of Aβ Aggregation
by Bong-Keun Jang, Soo Jung Shin, Hyun Ha Park, Vijay Kumar, Yong Ho Park, Jeom-Yong Kim, Hye-Yeon Kang, Sunyoung Park, Youngsun Kwon, Sang-Eun Shin, Minho Moon and Beom-Jin Lee
Pharmaceutics 2025, 17(1), 13; https://doi.org/10.3390/pharmaceutics17010013 - 25 Dec 2024
Viewed by 70
Abstract
Background/Objectives: Aronia extract or its active compounds, especially anthocyanin, have shown potential for Alzheimer’s disease (AD)-related pathologies, including neuroinflammation, fibrillogenesis of amyloid beta (Aβ), and cognitive impairment. However, there was still concern about their structural instability in vivo and in vitro. To solve [...] Read more.
Background/Objectives: Aronia extract or its active compounds, especially anthocyanin, have shown potential for Alzheimer’s disease (AD)-related pathologies, including neuroinflammation, fibrillogenesis of amyloid beta (Aβ), and cognitive impairment. However, there was still concern about their structural instability in vivo and in vitro. To solve the instability of anthocyanins, we combined aronia bioactive factions (ABFs) and alginic acid via electrostatic molecular interactions and created an ABF–alginic acid nanocomplex (AANCP). We evaluated whether it is more stable and effective in cognitive disorder mice and neuroinflammation cell models. Methods: The physicochemical properties of the AANCP, such as nanoparticle size, structural stability, and release rate, were characterized. The AANCP was administered to scopolamine-injected Balb/c mice, and to BV2 microglia treated with lipopolysaccharide (LPS) and amyloid beta (Aβ). Inflammation responses were measured via qPCR and ELISA in vitro, and cognitive functions were measured via behavior tests in vivo. Results: The AANCP readily formed nanoparticles, 209.6 nm in size, with a negatively charged zeta potential. The AANCP exhibited better stability in four plasma samples (human, dog, rat, and mouse) and was slowly released in different pH conditions (pH 2.0, 7.4, and 8.0) compared with non-complexedABF. In vitro studies on microglial cells treated with AANCPs revealed a suppression of inflammatory cytokines (tumor necrosis factor-alpha and interleukin-6) induced by LPS. The AANCP increased microglial Aβ phagocytosis through the activation of triggering receptor expressed on myeloid cell 2 (TREM2)-related microglial polarization. The AANCP inhibited aggregation of Aβ in vitro and alleviated cognitive impairment in a scopolamine-induced in vivo dementia mouse model. Conclusions: Our data indicate that AANCPs are more stable than ABFs and effective for cognitive disorders and neuroinflammation via modulation of M2 microglial polarization. Full article
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<p>Physicochemical characterization of the ABF-alginic acid nanocomplex. (<b>A</b>) Schematic representation of chemical bonding in the AANCP. ABFs are represented by (+) and alginic acids by (−). Solid lines express ionic bonds, and dotted lines represent π-π interactions. Zeta potential, PDI, and distribution of zeta average particle size of (<b>B</b>) ABF, (<b>C</b>) alginic acid, and (<b>D</b>) the AANCP using DLS. (<b>E</b>) Anthocyanin release test of ABF and the AANCP according to various pH solutions. (<b>F</b>) SEM image of ABF, alginic acid, and AANCP. Statistical analyses were performed using one-way ANOVA followed by Tukey’s test. Significance levels of * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01 and *** <span class="html-italic">p</span>-value &lt; 0.001 indicate differences between the ABF-treated group (white bar), and the AANCP-treated group (black bar).</p>
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<p>Effect of AANCP on the inhibition of the LPS-induced secretion of pro-inflammatory molecules in BV2 microglial cells. IL-6 and TNF-α levels were determined by ELISA. (<b>A</b>) The quantitative analysis shows that AANCP reduced LPS-induced IL-6 release from BV2 microglial cells. (<b>B</b>) The quantitative graph shows that AANCP decreased the LPS-induced TNF-α secretion from microglia. The mean ± S.E.M. values were calculated. Statistical analyses were performed using one-way ANOVA followed by Tukey’s test. Differences were significant at ### <span class="html-italic">p</span>-value &lt; 0.001 between the control group (black bar) and the vehicle-treated group (white bar). Significance levels of ** <span class="html-italic">p</span>-value &lt; 0.01 and *** <span class="html-italic">p</span>-value &lt; 0.001 indicate differences between the vehicle-treated group, the ABF-treated group (pink bar), and the AANCP-treated group (purple bar).</p>
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<p>Effect of AANCP on the conversion of the M1 phenotype induced by Aβ to the M2 phenotype in microglial cells. The M1 phenotype was assessed by the expression of cytokines, and the M2 phenotype was examined by the expression of TREM2 in BV2 microglial cells. (<b>A</b>–<b>C</b>) Quantitative analysis shows that AANCP reduced Aβ<sub>42</sub>-mediated upregulation of M1 markers, including TNF-α, IL-6, and IL-1β, in microglia. (<b>D</b>) The quantified graph shows that the AANCP modulated the level of TREM2 mRNA in microglia cells. The mean ± S.E.M. values were calculated. Statistical analyses were performed using one-way ANOVA followed by Tukey’s test. Differences were significant at # <span class="html-italic">p</span>-value &lt; 0.05 and ### <span class="html-italic">p</span>-value &lt; 0.001 between the control group (black bar) and the vehicle-treated group (white bar). Significance levels of * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, and *** <span class="html-italic">p</span>-value &lt; 0.001 indicate differences between the vehicle-treated group and the AANCP-treated group (purple bar).</p>
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<p>Significant enhancement of AANCP on the microglial phagocytic clearance of Aβ. (<b>A</b>) Representative images show immunoreactivity of ionized calcium-binding adaptor molecule 1 (Iba-1; green) and FAM-labeled Aβ<sub>42</sub> (FAM-Aβ; red) in BV2 microglial cells. DAPI staining was performed to visualize the nucleus (cyan). (<b>B</b>) Phagocytosis rates were expressed as a percentage with a counting number of both Aβ<sub>42</sub>- and Iba-1-positive cells per DAPI-positive cells. The mean ± S.E.M. values were calculated. Statistical analyses were performed using one-way ANOVA followed by Tukey’s test. Significance levels of * <span class="html-italic">p</span>-value &lt; 0.05 and *** <span class="html-italic">p</span>-value &lt; 0.001 indicate differences between the vehicle-treated group and the AANCP-treated group (purple bar).</p>
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<p>Effect of AANCP on the significant inhibition of Aβ aggregation. (<b>A</b>) An outline of the experimental design for treatment and ThT assay, (<b>B</b>) ThT fluorescence intensity curves from 0 to 48 h, and (<b>C</b>) bar graph at the 12-, 24-, 36-, and 48 h exhibiting the kinetics of Aβ<sub>42</sub> aggregation, both with and without AANCP. Morin serves as a positive control for the inhibitory activity of Aβ<sub>42</sub> aggregation. Values are expressed as the mean ± S.E.M. Statistical analyses were performed by one-way ANOVA, followed by Tukey’s test. *** <span class="html-italic">p</span>-value &lt; 0.001 indicates significant differences between the Aβ<sub>42</sub> + vehicle-treated group (red bar) and the Aβ<sub>42</sub> + AANCP (purple bar) or Aβ<sub>42</sub> + morin-treated group (yellow bar).</p>
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<p>The effect of AANCP on the significant alleviation of cognitive impairment in scopolamine-treated mice. (<b>A</b>) Schematic design of vivo experiment. Balb/c mice were orally administered AANCP (500 mg/kg) and EGB (50 mg/kg) daily for 2 weeks. EGB was used as a positive control. Scopolamine (2 mg/kg) was administered intraperitoneally 30 min before the behavioral test to impair cognitive function. (<b>B</b>) Changes in body weight by administration of scopolamine, EGB, and AANCP in Balb/c mice. Body weight was measured every 3 days from day 1 to 15. (<b>C</b>) Total arm entry, (<b>D</b>) spontaneous alterations (%), (<b>E</b>) Latency time (s). Values are expressed as the mean ± S.E.M (n = 4 in vehicle-treated Balb/c mice; n = 5 in scopolamine-treated Balb/c mice; n = 4 in scopolamine and EGB-treated Balb/c mice; n = 4 in scopolamine and AANCP-treated Balb/c mice). Statistical analyses were performed by one-way ANOVA, followed by Tukey’s test. ## <span class="html-italic">p</span>-value &lt; 0.01 indicates significant differences compared to the vehicle-treated Balb/c mice (black bar) and scopolamine and vehicle-treated Balb/c mice (white bar) and * <span class="html-italic">p</span>-value &lt; 0.05 indicates significant differences between the scopolamine and vehicle-treated Balb/c mice and or scopolamine and AANCP-treated Balb/c mice (purple bar).</p>
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<p>Schematic diagram of the effects of AANCP on neuroinflammation, Aβ aggregation, and cognitive impairment in AD and dementia. The aggregation of Aβ and M1 markers, such as TNF-α and IL-6, form a vicious circle that exacerbates the progression of AD. The pro-inflammatory cytokines promote the aggregation of Aβ, which in turn induces the release of inflammatory molecules. During pathological conditions caused by Aβ, resting microglia are activated into pro-inflammatory or anti-inflammatory microglia. However, upon return to physiological conditions via the removal of Aβ, M1- or M2-activated microglia are restored to resting microglia. AANCP promotes the transition of microglia to the anti-inflammatory phenotype and inhibits the aggregation of Aβ. Consequently, AANCP inhibits Aβ aggregation, reduces neuroinflammation, and improves cognitive impairment in AD. Stimulation is indicated by (+) arrows. Inhibition is indicated by (−) arrows.</p>
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9 pages, 1689 KiB  
Communication
Preliminary Evidence of a Horizontal Transfer of Paramutation Phenomenon at the pl1 Gene in Maize (Zea mays L.)
by Roberto Pilu, Martina Ghidoli, Alessia Follador, Alessandro Passera, Paola Casati, Ervane Laure Cheyep Dinzeu, Elena Cassani and Michela Landoni
Plants 2025, 14(1), 11; https://doi.org/10.3390/plants14010011 - 24 Dec 2024
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Abstract
Paramutation, a specific epigenetic phenomenon first identified in Zea mays by Alexander Brink in the 1950s, has since been observed in different plant and animal species. What sets paramutation apart from other gene silencing processes is its ability for one silenced allele (referred [...] Read more.
Paramutation, a specific epigenetic phenomenon first identified in Zea mays by Alexander Brink in the 1950s, has since been observed in different plant and animal species. What sets paramutation apart from other gene silencing processes is its ability for one silenced allele (referred to as paramutagenic) to silence another allele (paramutable) in trans. The resultant silenced allele (paramutated) remains stable across generations, even after separating from the paramutagenic allele, and acquires paramutagenic properties itself. This hereditary behavior facilitates the rapid dissemination of specific gene expression patterns or phenotypes within populations, disrupting the Hardy–Weinberg equilibrium even without other evolutionary pressures. Despite extensive research, the molecular mechanisms underlying paramutation are still not fully understood, although numerous studies suggest the involvement of RNA-mediated changes in DNA methylation and in the chromatin structure of silenced genes. In this paper, we report preliminary evidence regarding horizontal paramutation transfer at the pl1 (purple plant1) regulatory gene involved in the accumulation of anthocyanin in several plant tissues such as tassel, kernel, and cob. A paramutated pl1′ allele arose spontaneously in a pl1 population, and in this study, we found evidence of silencing events spatially associated in the field, suggesting a possible horizontal transfer of silencing among nearby plants. Full article
(This article belongs to the Section Plant Genetics, Genomics and Biotechnology)
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<p>Paramutation phenomena at <span class="html-italic">pl1 Zea mays</span> locus. Anthocyanin accumulation in the tassel anthers (<b>a</b>) and pericarp kernel (<b>b</b>) driven by the presence of dominant <span class="html-italic">Pl1</span> allele. Germinal or para-germinal paramutation/silencing phenomena at <span class="html-italic">pl1</span> gene, scored as absent or weak pigmentation of the tassel (<b>c</b>) and pericarp kernel (<b>d</b>). Yellow arrows indicated somatic paramutation/silencing events occurring at a late developmental stage in the anthers tassel (<b>e</b>) and pericarp kernel (<b>f</b>).</p>
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<p>Statistical analysis regarding the appearance of silencing/paramutation at <span class="html-italic">pl1</span> gene scored as colorless tassels. Scheme of the field used in the experimentation; green dots indicate the distance of the plants on the rows (<b>a</b>). Probability density chart calculated by “Kernel Density Estimation” using X/Y coordinates of silencing/paramutation plants present in all the field; dots indicate the single event of silencing/paramutation (<b>b</b>). Statistical analysis “Nearest neighbors analysis” with wrap-around edge correction regarding the probability of silencing/paramutation phenomena considering all the 6 rows present in the field (<b>c</b>). Probability density chart calculated by “Kernel Density Estimation” using Y coordinate of silencing/paramutation plants present on single row (<b>d</b>). Statistical analysis performed on single row by “point events” (Y coordinate) (<b>e</b>).</p>
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<p>Anthocyanin quantification and expression level of the <span class="html-italic">pl1 Zea mays</span> gene in seedling roots. In (<b>A</b>), the root anthocyanin content is shown for three different non-paramutated plants (R1–3) compared to paramutated plants (C1–3). Bars rappresent 1cm. (<b>B</b>) Graph reporting the relative expression of the <span class="html-italic">pl1</span> gene in three red (Red-1, Red-2, and Red-3) and three colorless (Colorless-1, Colorless-2, Colorless-3) plants. The <span class="html-italic">Y</span>-axis reports the relative levels of expression as fold-change: Log<sub>2</sub>(2<sup>−ΔΔCt</sup>). Different letters above the boxes identify statistically significant differences in the results according to a one-way ANOVA followed by Tukey’s post hoc test (<span class="html-italic">p</span> = 0.001).</p>
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17 pages, 5977 KiB  
Article
Developing High-Coloring Natural Systems Using Double Emulsions with Daucus carota L. Extract to Meet High-Performance Requirements
by Liandra Gracher-Teixeira, Samara C. Silva Pituco, Giovana Colucci, Arantzazu Santamaria-Echart, António M. Peres, Madalena M. Dias and M. Filomena Barreiro
Foods 2024, 13(24), 4147; https://doi.org/10.3390/foods13244147 - 21 Dec 2024
Viewed by 423
Abstract
Daucus carota L. extract is attracting interest as a natural colorant alternative. However, the presence of anthocyanins (ACNs), which are sensitive to pH changes, limits its application. To tackle this issue, water-in-oil-in-water (W1/O/W2) double emulsions are emerging as innovative [...] Read more.
Daucus carota L. extract is attracting interest as a natural colorant alternative. However, the presence of anthocyanins (ACNs), which are sensitive to pH changes, limits its application. To tackle this issue, water-in-oil-in-water (W1/O/W2) double emulsions are emerging as innovative solutions. Nevertheless, the problem of reaching robust colorant systems for industrial use still needs to be overcome. One important target is to reach a high coloring power, minimizing its impact on the final product. In this context, the effect of colorant concentration and the volume of the primary emulsion, two routes to increase the colorant power, on color attributes and stability, an important feature to reach a marketable product, was studied. The optimal experimental design was conducted to two optimal solutions, whether through heightened colorant concentration or primary emulsion volume: a 41/59 (W1/O)/W2 ratio with 11 wt.% colorant, and a 48/52 (W1/O)/W2 ratio with 6 wt.% colorant, respectively. A subsequent assessment of color and physical emulsion stability over 30 days pointed out the solution with the lower colorant concentration (6 wt.%) as the one with better performance (L*: 44.11 ± 0.03, a*: 25.79 ± 0.01, D4;3: 9.62 ± 0.1 µm, and CI: 14.55 ± 0.99%), also minimizing the permeability of the colorant to the outer aqueous phase. Overall, these optimized emulsions offer versatile coloring solutions suitable for various industrial applications, such as food matrices and functional cosmetics. Full article
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<p>(<b>a</b>) Results of the 11 experimental runs (emulsions) obtained by the Central Composite Rotatable Design 2<sup>2</sup> for D<sub>4,3</sub> over time: 1 day (t1); 7 days (t7); 15 days (t15); and 30 days (t30); (<b>b</b>) Microscopy images comparing the samples with smaller (E4) and larger (E5 and E3) droplet sizes at time 0 and after 30 days. The Span values, indicating sample size homogeneity, are displayed in bold in the upper left corner.</p>
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<p>Results of the 11 experimental runs (emulsions) obtained by the Central Composite Rotatable Design 2<sup>2</sup> for the Creaming Index (CI) % over time: 1 day (t1); 7 days (t7); 15 days (t15); and 30 days (t30).</p>
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<p>(<b>a</b>) Results of the 11 runs (emulsions) obtained by the Central Composite Rotatable Design 2<sup>2</sup> for colorimetric parameters: <span class="html-italic">L</span>* (<b>b</b>) and <span class="html-italic">a</span>* over time: 1 day (t1); 7 days (t7); 15 days (t15); and 30 days (t30).</p>
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<p>Response surfaces for the volume-mean droplet size (µm), the creaming index (%), and colorimetric parameters (<span class="html-italic">L</span>* and <span class="html-italic">a</span>*) as a function of colorant concentration (wt.%) and the emulsion ratio (<span class="html-italic">v</span>/<span class="html-italic">v</span>).</p>
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<p>Overlay of the contour plots for D<sub>4,3</sub>, creaming index, <span class="html-italic">a</span>*, and <span class="html-italic">L</span>* depicting the optimum conditions (yellow area). The droplet size was set smaller than 16 µm, 0 &lt; creaming index &lt; 10%, <span class="html-italic">a</span>* &gt; 26.5, and <span class="html-italic">L</span>* within the experimental range.</p>
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19 pages, 1965 KiB  
Article
Purple Yampee Derivatives and Byproduct Characterization for Food Applications
by Sandra V. Medina-López, Cristian Molina García, Maria Cristina Lizarazo-Aparicio, Maria Soledad Hernández-Gómez and Juan Pablo Fernández-Trujillo
Foods 2024, 13(24), 4148; https://doi.org/10.3390/foods13244148 - 21 Dec 2024
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Abstract
This study assessed the technological potential and bioactive compounds present in purple yampee (Dioscorea trifida L.f.) lyophilized powder, peeled and whole flour, as well as the tuber peel, starch residual fiber, and wastewater mucilage. Although most values approached neutrality, flour showed a [...] Read more.
This study assessed the technological potential and bioactive compounds present in purple yampee (Dioscorea trifida L.f.) lyophilized powder, peeled and whole flour, as well as the tuber peel, starch residual fiber, and wastewater mucilage. Although most values approached neutrality, flour showed a lower pH and high density, while greater acidity was observed in the mucilage. Color differed statistically and perceptibly between all samples, with similar values of °hue to purple flours from other sources, and the maximum chroma was found in lyophilized pulp and lightness in fiber. Average moisture levels around 7.2% and water activity levels of 0.303 (0.194 for whole flour) in fractions suggested favorable storability, while the interaction of the powders with water was similar to other root and tuber powdered derivatives. Yampee periderm had the highest swelling power, oil absorption capacity, water holding capacity, and absorption index and capacity. Mucilage had a higher solubility index and outstanding emulsion activity, greater than 90%. Twelve anthocyanins, with new reports of petunidin derivatives for the species, and more than 30 phytochemicals were identified through advanced liquid chromatography techniques. The greatest amounts of pinitol and myo-inositol were found in the mucilage, and sucrose, glucose, and fructose prevailed in the other powders. Successfully characterized yampee fractions showed high potential as functional food ingredients. Full article
(This article belongs to the Section Food Security and Sustainability)
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Graphical abstract

Graphical abstract
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<p>Photos of powdered fractions and simulated colors of (<b>a</b>) YSF, (<b>b</b>) YSM, (<b>c</b>) LYP, (<b>d</b>) YPF, (<b>e</b>) WTP, and (<b>f</b>) YPP.</p>
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<p>Amino acids in <span class="html-italic">D. trifida</span> mucilage (<b>upper</b> chromatogram) and lyophilized pulp (<b>under</b>) observed through HPLC-FLD.</p>
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<p>Amino acids in <span class="html-italic">D. trifida</span> mucilage (<b>upper</b> chromatogram) and lyophilized pulp (<b>under</b>) observed through HPLC-FLD.</p>
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<p>Main anthocyanin compounds identified at 520 nm through HPLC-DAD in <span class="html-italic">D. trifida</span> fractions after 20 days from their manufacture.</p>
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<p>Main anthocyanins quantified in <span class="html-italic">D. trifida</span> fractions mucilage YSM, lyophilized pulp LYP, starch fiber, flour, periderm, and whole flour from left to right, after 20-day storage. Main peonidin derivatives are depicted as follows: Peonidin 3-<span class="html-italic">O</span>-glucoside-5-<span class="html-italic">O</span>glucoside (Peonidin 1), Peonidin 3-O-feruloylglucoside-5-O-glucoside (Peonidin 2), and Peonidin 3-O-<span class="html-italic">p</span>-cumaroylglucoside-5-O-glucoside (Peonidin 3). The average concentration of the molecules (<span class="html-italic">n</span> = 3) is presented in milligrams per 100 g of sample, letters correspond to significant statistical differences among fractions (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The evolution of sugars in time (day 43 -darker color- and 180 of storage) for each fraction depicted by individually quantified sugars (<b>a</b>) Myo-inositol, (<b>b</b>) Pinitol, (<b>c</b>) Glucose, (<b>d</b>) Fructose, (<b>e</b>) Sucrose. Concentrations of each measure are depicted as mean values with standard deviation error bars (<span class="html-italic">n</span> = 3). Means in a column followed by different lowercase letters (a–f) are significantly different at the 5% level at the initial time of measure. Means in the columns followed by different capital letters (A–E) are significantly different at the 5% level.</p>
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19 pages, 1349 KiB  
Article
Increasing the Content of Bioactive Compounds in Apple Juice Through Direct Ultrasound-Assisted Extraction from Bilberry Pomace
by Violeta Nour
Foods 2024, 13(24), 4144; https://doi.org/10.3390/foods13244144 - 21 Dec 2024
Viewed by 253
Abstract
The increasing trend of diet-related chronic diseases has stimulated research into developing new food products and beverages with health-promoting potential. At the same time, new resources, including plant by-products, are currently being investigated as a sustainable source of bioactive compounds. In this context, [...] Read more.
The increasing trend of diet-related chronic diseases has stimulated research into developing new food products and beverages with health-promoting potential. At the same time, new resources, including plant by-products, are currently being investigated as a sustainable source of bioactive compounds. In this context, the present study focused on the enrichment of apple juice with anthocyanins and other phenolic compounds by direct ultrasound-assisted extraction (UAE) from bilberry pomace. Response surface methodology combined with a Box–Behnken design was used to find the optimal extraction conditions for maximizing the total anthocyanin content (TAC), total phenolic content (TPC) and DPPH radical scavenging activity (RSA) in the enriched apple juices and to characterize their phenolic profile as influenced by the extraction temperature. UAE from 15% bilberry pomace during 15 min in apple juice at 80 °C resulted in the highest TAC (262.73 mg CGE/L), TPC (1700.91 mg GAE/L) and RSA (8.93 mmol Trolox/L) of the enriched apple juice. The chromatographic polyphenolic profile of the control and enriched juices showed that, besides anthocyanins, phenolic acids (chlorogenic, gallic, caffeic, 3-hydroxybenzoic, p-coumaric, ellagic and protocatechuic acids) and flavonoids (epigallocatechin and catechin) were extracted from the bilberry pomace directly in the apple juice, while the extraction temperature differently impacted the content of individual phenolic compounds. Full article
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<p>Response surface plots of total anthocyanin content (mg CGE/L) as a function of temperature and extraction time at 10% solid percent (<b>A</b>), temperature and solid percent at 60 min extraction time (<b>B</b>) and extraction time and solid percent at 50 degrees Celsius temperature (<b>C</b>) and Pareto chart for total anthocyanin content (<b>D</b>).</p>
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<p>Response surface plots of total phenolic content (mg GAE/L) as a function of temperature and extraction time at 10% solid percent (<b>A</b>), temperature and solid percent at 60 min extraction time (<b>B</b>) and extraction time and solid percent at 50 degrees Celsius temperature (<b>C</b>) and Pareto chart for total phenolic content (<b>D</b>).</p>
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<p>Response surface plots of DPPH radical scavenging activity (mmol Trolox/L) as a function of temperature and extraction time at 10% solid percent (<b>A</b>), temperature and solid percent at 60 min extraction time (<b>B</b>) and extraction time and solid percent at 50 degrees Celsius temperature (<b>C</b>) and Pareto chart for DPPH radical scavenging activity (<b>D</b>).</p>
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<p>Representative HPLC-DAD chromatograms of phenolic compounds in apple juice (AJ) and in apple juices enriched with bioactive compounds through direct ultrasound-assisted extraction from bilberry pomace at 20 °C (AJBP20), 50 °C (AJBP50) and 80 °C (AJBP80) (λ = 280 nm; extraction time = 30 min, solid percent = 10%). Peak identification: (1) gallic acid; (2) epigallocatechin; (3) catechin; (4) chlorogenic acid; (5) caffeic acid; (6) hydroxybenzoic acid; (7) cyanidin 3-glucoside; (8) p-coumaric acid; (9) ellagic acid; (10) ferulic acid; (11) protocatechuic acid; (12) resveratrol; (13) quercetin; (14) kaempferol.</p>
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15 pages, 2322 KiB  
Article
High-Intensity Continuous Light from Red–Blue Light-Emitting Diodes Improved Yield, Nutritional Quality and Reactive Oxygen Species Accumulation in Two Leaf-Color Lettuces
by Wenke Liu, Bing Liu and Qibao Wu
Biology 2024, 13(12), 1077; https://doi.org/10.3390/biology13121077 - 20 Dec 2024
Viewed by 246
Abstract
In an environmentally controlled plant factory with LED red–blue light, the effects of conventional light (4R:1B, 200 μmol·m−2·s−1, 18/6 h) and continuous light (CL, 24/0 h) with three light intensities (4R:1B, 200, 300 and 400 μmol·m−2·s−1 [...] Read more.
In an environmentally controlled plant factory with LED red–blue light, the effects of conventional light (4R:1B, 200 μmol·m−2·s−1, 18/6 h) and continuous light (CL, 24/0 h) with three light intensities (4R:1B, 200, 300 and 400 μmol·m−2·s−1, 24/0 h) on yield, nutritional quality, reactive oxygen species (ROS) content and 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity (DPPH) in green-leaf Yidali and purple-leaf Zishan lettuces were investigated. The results showed that the dry and fresh shoot weight of two lettuces exposed to CL tended to increase with light intensity—from 200 to 400 μmol·m−2·s−1—compared to conventional light, while the leaf area tended to decrease or remained unchanged. High-intensity CL could significantly increase soluble sugar and reduce the nitrate contents of the two lettuces. Also, the antioxidant substance (anthocyanins, flavonoids and total phenols) content of the two lettuces was improved with the increase in CL intensity. High-intensity CL could significantly increase the malondialdehyde, hydrogen peroxide and superoxide anion content and DPPH of the two lettuces. The above indices showed similar results both at 6 and 12 days after light treatment. In contrast, the Zishan cultivar contained more antioxidant substances, ROS and MDA contents and DPPH (more than 1 to 100 times) than the Yidali cultivar under high-intensity CL. In summary, high-intensity CL could improve the yield and nutritional value of both Yidali and Zishan lettuces. The high CL tolerance of Zishan was attributed to a stronger antioxidant capacity due to a greater content of antioxidant substances and DPPH, while the accumulation of ROS and the content of antioxidant substances might interact. Full article
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<p>Schematic diagram of plant growth stages, experimental design and sampling time of LED red–blue CL intensity on yield, nutritional quality and reactive oxygen species accumulation in two leaf-color lettuces.</p>
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<p>Effect of LED red–blue CL intensities on soluble sugar and nitrate contents in Yidali (<b>A</b>,<b>C</b>) and Zishan (<b>B</b>,<b>D</b>) lettuces after 6 and 12 days of treatment. Values and bars represent the means of three replicates ± SD. Within a time point, different letters indicate significant differences at the <span class="html-italic">p</span> &lt; 0.05 level (Duncan’s multiple range test) over 6 and 12 days of separate tests.</p>
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<p>Effect of LED red–blue CL intensities on the contents of antioxidant substances in Yidali (<b>B</b>,<b>D</b>) and Zishan (<b>A</b>,<b>C</b>,<b>E</b>) lettuces after 6 and 12 days of treatment. Values and bars represent the means of three replicates ± SD. Within a time point, different letters indicate significant differences at the <span class="html-italic">p</span> &lt; 0.05 level (Duncan’s multiple range test) over 6 and 12 days of separate tests.</p>
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<p>Effect of LED red–blue CL intensities on the DPPH of Yidali (<b>A</b>) and Zishan (<b>B</b>) lettuce after 6 and 12 days of treatment. Values and bars represent the means of three replicates ± SD. Within a time point, different letters indicate significant differences at the <span class="html-italic">p</span> &lt; 0.05 level (Duncan’s multiple range test) over 6 and 12 days of separate tests.</p>
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<p>Effect of LED red–blue CL intensities on the MDA, hydrogen peroxide and superoxide anion contents of Yidali (<b>A</b>,<b>C</b>,<b>E</b>) and Zishan (<b>B</b>,<b>D</b>,<b>F</b>) lettuces after 6 and 12 days of treatment. Values and bars represent the means of three replicates ± SD. Within a time point, different letters indicate significant differences at the <span class="html-italic">p</span> &lt; 0.05 level (Duncan’s multiple range test) over 6 and 12 days of separate tests.</p>
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15 pages, 517 KiB  
Article
Characterization and Classification of Berry (Aronia, Haskap, and Goji) Fruits with High Bioactive Value Grown in Spain
by María Concepción Ayuso-Yuste, Francisco Javier Cruz Calero, María Ramos García, Noelia Nicolás Barroso, María Belén Ramos Alguijo, María José Rodríguez Gómez and Patricia Calvo Magro
Foods 2024, 13(24), 4122; https://doi.org/10.3390/foods13244122 - 20 Dec 2024
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Abstract
Aronia, haskap, and goji berries are characterized by their high content of bioactive compounds and their beneficial health properties as well as their resistance to harsh agronomic conditions. In this work, cultivars of these species growing in a mountainous region of central-western Spain [...] Read more.
Aronia, haskap, and goji berries are characterized by their high content of bioactive compounds and their beneficial health properties as well as their resistance to harsh agronomic conditions. In this work, cultivars of these species growing in a mountainous region of central-western Spain were characterized by analyzing physicochemical parameters and bioactive compounds. Goji fruits showed the highest total soluble solid content and the lowest acidity values. The sugar profile suggested that goji cultivars will have a higher sweetness due to higher fructose and glucose content. However, aronia cultivars will be the least sweet due to their high sorbitol content. The total organic acid content was much higher in aronia and haskap than in goji fruits, and the profile varied according to species. The total phenolic content was significantly higher in aronia fruits. A total of 15 phenolic compounds were detected, with anthocyanins being predominant in aronia and haskap berries; however, they were not detected in goji fruits. Nevertheless, carotenoid compounds were found in goji berries and not detected in aronia and haskap fruits. Aronia fruits showed the highest antioxidant capacity compared to haskap and goji fruits. The PCA analysis classified the samples to determine which parameters have the greatest influence. Full article
(This article belongs to the Section Plant Foods)
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<p>Principal component analysis (PCA) plotting components 1 and 2 for the different berry cultivars (A: ‘Nero’, B: ‘Viking’, C: ‘Galicjanka’, D: ‘Blue Velvet’, E: ‘Turgidus’, and F: ‘New Big’). (PC1: 60.03% of total variance; PC2: 27.76% of total variance).</p>
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