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Search Results (736)

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13 pages, 5367 KiB  
Article
Phytochemical Composition and Toxicological Screening of Anise Myrtle and Lemon Myrtle Using Zebrafish Larvae
by Paolin Rocio Cáceres-Vélez, Akhtar Ali, Alexandre Fournier-Level, Frank R. Dunshea and Patricia Regina Jusuf
Antioxidants 2024, 13(8), 977; https://doi.org/10.3390/antiox13080977 (registering DOI) - 12 Aug 2024
Viewed by 217
Abstract
Plants are an immense source of drugs, and 50% of modern pharmacopeia has a plant origin. With increasing life expectancy in humans, many age-related degenerative diseases converge on oxidative cellular stress pathways. This provides an opportunity to develop broad treatments by targeting the [...] Read more.
Plants are an immense source of drugs, and 50% of modern pharmacopeia has a plant origin. With increasing life expectancy in humans, many age-related degenerative diseases converge on oxidative cellular stress pathways. This provides an opportunity to develop broad treatments by targeting the cause of common pathologic cell degeneration. Toxicological effects can be readily assessed in a live animal model system to establish potential fauna for clinical use. Here, we characterized and evaluated the antioxidant potential and toxicological effects of anise myrtle (Syzygium anisatum) and lemon myrtle (Backhousia citriodora) leaves. Using zebrafish larvae, a model for high-throughput pre-clinical in vivo toxicology screening, we identified safe levels of extract exposures for development of future therapeutics. The antioxidant capacity and toxicity were very similar in these two myrtles. The LC50-96h for anise myrtle was 284 mg/L, and for lemon myrtle, it was 270 mg/L. These measurements are comparable to ongoing studies we are performing using the same criteria in zebrafish, which allow for robust testing and prioritization of natural fauna for drug development. Full article
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<p>Alterations were observed in zebrafish embryos exposed to anise myrtle (<b>A</b>,<b>C</b>) and lemon myrtle (<b>B,D</b>) extract for 96 h. Heatmap showing the cumulative morbidity and phenotypic and behavioural alterations (<b>A</b>,<b>B</b>). Hatching delay occurred at higher concentrations for both plant extracts, with other mild alterations. The proportion of total mortality observed each experimental day at different concentrations (<b>C</b>,<b>D</b>). Colours represent the experimental time in hours (24–96 h). Most of the mortality occurred in the first 24 h, though continued exposure to lemon myrtle showed ongoing mortality continuing by subsequent days.</p>
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<p>Morphological alterations were observed in zebrafish embryos exposed to anise (<b>A</b>) and lemon (<b>B</b>) myrtle extract for 96 h and graphed as a percentage of all larvae. The colours represent different concentrations tested (mg/L). Data show the mean ± SD, <span class="html-italic">n</span> = 60. Asterisks indicate statistical significance when compared to a control group (0 mg/L): <span class="html-italic">p</span> &lt; 0.05 (*) and <span class="html-italic">p</span> &lt; 0.001 (***).</p>
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<p>Developmental alterations (<b>A</b>,<b>C</b>) and malformations (<b>B</b>,<b>D</b>) were observed in zebrafish larvae exposed at 96 h post-fertilization to different concentrations of anise (<b>A</b>,<b>B</b>) and lemon (<b>C</b>,<b>D</b>) myrtle extract. The alterations observed were pigmentation delay (Pig. D), developmental delay (Dev. D), yolk sac absorption delay (Yolk Sac AD), yolk sac edema (Yolk Sac E), and cardiac edema (Cardiac E). The malformations observed were localized in the head, eyes, spine, and tail. None of the alternations observed in anise myrtle were significantly different from the control 0 mg/L group. In contrast, in Lemon myrtle, there were substantial alterations and malformations at 240 mg/L. The 480 mg/L group only includes very few survivors. Bar colours represent the concentrations tested in mg/L. Data represent the mean ± SD, <span class="html-italic">n</span> = 60. Asterisks indicate statistical significance when comparing the exposed groups with the control groups: <span class="html-italic">p</span> &lt; 0.05 (*) and <span class="html-italic">p</span> &lt; 0.001 (***).</p>
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26 pages, 6947 KiB  
Review
Citrus limon var. pompia Camarda var. nova: A Comprehensive Review of Its Botanical Characteristics, Traditional Uses, Phytochemical Profile, and Potential Health Benefits
by Anna Maria Posadino, Paola Maccioccu, Ali H. Eid, Roberta Giordo, Gianfranco Pintus and Grazia Fenu
Nutrients 2024, 16(16), 2619; https://doi.org/10.3390/nu16162619 - 8 Aug 2024
Viewed by 404
Abstract
Citrus limon var. pompia Camarda var. nova, commonly known as pompia, is a distinctive citrus ecotype native to Sardinia, notable for its unique botanical, phytochemical, and potential health benefits. It holds cultural significance as a traditional food product of Sardinia, recognized by [...] Read more.
Citrus limon var. pompia Camarda var. nova, commonly known as pompia, is a distinctive citrus ecotype native to Sardinia, notable for its unique botanical, phytochemical, and potential health benefits. It holds cultural significance as a traditional food product of Sardinia, recognized by the Italian Ministry of Agricultural Food and Forestry Policies. This comprehensive review examines pompia’s traditional uses, taxonomic classification, pomological characteristics, phytochemical profile, and potential health benefits. Pompia phytochemical analyses reveal a rich composition of flavonoids and terpenoids, with notable concentrations of limonene, myrcene, and various oxygenated monoterpenes. Pompia essential oils are primarily extracted from its peel and leaves. Peel essential oils exhibit a high concentration of the monoterpene limonene (82%) and significantly lower quantities of myrcene (1.8%), geranial (1.7%), geraniol (1.5%), and neral (1.4%). In its rind extract, flavanones such as naringin (23.77 µg/mg), neoeriocitrin (46.53 µg/mg), and neohesperidin (44.57 µg/mg) have been found, along with gallic acid (128.3 µg/mg) and quinic acid (219.67 µg/mg). The main compounds detected in the essential oils from pompia leaves are oxygenated monoterpenes (53.5%), with limonene (28.64%), α-terpineol (41.18%), geranial (24.44%), (E)-β-ocimene (10.5%), linalool (0.56%), and neryl acetate (13.56%) being particularly prominent. In pompia juice, the presence of phenolic compounds has been discovered, with a composition more similar to lemon juice than orange juice. The primary flavonoid identified in pompia juice is chrysoeriol-6,8-di-C-glucoside (stellarin-2) (109.2 mg/L), which has not been found in other citrus juices. The compound rhoifolin-4-glucoside (17.5 mg/L) is unique to pompia juice, whereas its aglycone, rhoifolin, is found in lemon juice. Other flavonoids identified in pompia juice include diosmetin 6,8-C-diglucoside (54.5 mg/L) and isorhamnetin 3-O-rutinoside (79.4 mg/L). These findings support the potential of pompia in developing nutraceuticals and natural health products, further confirmed by its compounds’ antioxidant, anti-inflammatory and antibacterial properties. Future research should focus on optimizing extraction methods, conducting clinical trials to evaluate efficacy and safety, and exploring sustainable cultivation practices. The potential applications of pompia extracts in food preservation, functional foods, and cosmetic formulations also warrant further investigation. Addressing these areas could significantly enhance pompia’s contribution to natural medicine, food science, and biotechnology. Full article
(This article belongs to the Section Phytochemicals and Human Health)
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<p>Pompia plants in a citrus grove of the Baronia (<a href="https://www.biodiversitasardegna.it/laore/it/agrobiodiversita/repertorio-regionale/risorsa/Pompia/" target="_blank">https://www.biodiversitasardegna.it/laore/it/agrobiodiversita/repertorio-regionale/risorsa/Pompia/</a>) (accessed on 1 July 2024).</p>
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<p>Pompia fruit (<a href="https://www.biodiversitasardegna.it/laore/it/agrobiodiversita/repertorio-regionale/risorsa/Pompia" target="_blank">https://www.biodiversitasardegna.it/laore/it/agrobiodiversita/repertorio-regionale/risorsa/Pompia</a>) (accessed on 1 July 2024).</p>
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<p>An illustrated photo of opened pompia fruit (<a href="https://it.wikipedia.org/wiki/Pompia#/media/File:Pompia_frutto_aperto.jpg" target="_blank">https://it.wikipedia.org/wiki/Pompia#/media/File:Pompia_frutto_aperto.jpg</a>) (accessed on 1 July 2024).</p>
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<p>Special Sardinian dessert cake: “Sa Pompia Intrea” (<a href="https://it.wikipedia.org/wiki/Pompia#/media/File:Pompia_intrea.jpg" target="_blank">https://it.wikipedia.org/wiki/Pompia#/media/File:Pompia_intrea.jpg</a>) (accessed on 1 July 2024).</p>
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6 pages, 2463 KiB  
Communication
Tahiti Lemon Juice: A Natural Alternative to Reduce Bacteria from Eggshells
by Luana Maria de Jesus, Gabriel da Silva Oliveira, Igor Rafael Ribeiro Vale, Concepta McManus, Heloisa Alves de Figueiredo Sousa and Vinícius Machado dos Santos
Microbiol. Res. 2024, 15(3), 1406-1411; https://doi.org/10.3390/microbiolres15030094 - 31 Jul 2024
Viewed by 271
Abstract
Tahiti lemon juice (Citrus aurantifolia) was evaluated for its antibacterial activity. For this purpose, microbiological parameters were assessed in vitro (measurement of the inhibition potential of bacteria using the disk diffusion method) and in vivo (the number of total aerobic mesophilic [...] Read more.
Tahiti lemon juice (Citrus aurantifolia) was evaluated for its antibacterial activity. For this purpose, microbiological parameters were assessed in vitro (measurement of the inhibition potential of bacteria using the disk diffusion method) and in vivo (the number of total aerobic mesophilic bacteria and Enterobacteriaceae on the eggshell). Tahiti lemon juice inhibited Escherichia coli and Staphylococcus aureus, with larger halos for pure juice. The values were 14.33 ± 0.58 mm for E. coli and 16.00 ± 1.00 mm for S. aureus. Compared with the load of mesophilic bacteria in the shells of non-sanitized eggs (5.49 ± 0.12 log10 CFU/mL), Tahiti lemon juice significantly reduced this bacterial group on the eggshell (2.07 ± 0.18 log10 CFU/mL). Combining the characteristics inherent to Tahiti lemon juice and the sanitization processes of poultry products proved helpful in guaranteeing the bacterial quality of eggs. Full article
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<p>Photograph of <span class="html-italic">Citrus aurantifolia</span> plant.</p>
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<p>Antibacterial activity of Tahiti lemon juice against two bacterial strains.</p>
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14 pages, 5214 KiB  
Article
Determination of Volatilome Profile in Carbonated Beverages Using n-Hexane as an Extractant by GC-MS
by Li Mu, Xianglong Meng, Huihong Luo, Qianqian Liu, Li Zhang, Xin Li, Ying Xu and Gang Li
Separations 2024, 11(8), 231; https://doi.org/10.3390/separations11080231 - 27 Jul 2024
Viewed by 271
Abstract
A liquid–liquid extraction pretreatment method using n-hexane as the extractant was developed for the analysis of volatile aroma substances in three flavors (six cola samples, six lemon samples, and six orange samples) of carbonated beverages by gas chromatography–mass spectrometry (GC-MS). Quantitative analysis was [...] Read more.
A liquid–liquid extraction pretreatment method using n-hexane as the extractant was developed for the analysis of volatile aroma substances in three flavors (six cola samples, six lemon samples, and six orange samples) of carbonated beverages by gas chromatography–mass spectrometry (GC-MS). Quantitative analysis was conducted using the external standard method. The spiked recovery rate of α-terpineol was used as the evaluation criterion. Single-factor and response surface experiments were conducted to investigate the effects of extraction temperature, extraction time, and solvent-to-sample ratio. The results indicated that the maximum spiked recovery rate of α-terpineol, 81.00%, was achieved at an extraction temperature of 45 °C, extraction time of 30 min, and a solvent-to-sample ratio of 1 mL:15 mL. Thirty-four components were identified by GC-MS on the pretreated samples via the internal standard method. 1,4-Cineole, fenchyl alcohol, borneol, and α-terpineol are covered aroma substances in cola beverages. Two aromatic substances, D-limonene and α-terpineol, were detected in orange juices. α-Terpineol was detected in each lemon-flavor carbonated beverage sample. Going a step further, α-terpineol was detected in all 18 carbonated beverage samples and had high response values. The principal component analysis by functional group classification led to the conclusion that acids, phenols, hydrocarbons, alcohols, and ethers played a major contribution to the aroma of these 18 beverages. Increased separation of target compounds was found using the new pre-treatment methods, resulting in improved analytical resolution and selectivity. Full article
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<p>Effect of the α−terpineol spiked recovery rate: (<b>a</b>) extraction temperature, (<b>b</b>) extraction time, and (<b>c</b>) solvent to sample volume ratio.</p>
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<p>The influence of the interaction response surface of AB, AC and BC.</p>
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<p>Chromatograms of beverage samples.</p>
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<p>The portion of OAV in carbonated beverages.</p>
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<p>Radar chart of functional group ratio of carbonated beverage samples.</p>
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<p>Volatile aroma loading diagram of carbonated beverage samples.</p>
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14 pages, 7797 KiB  
Article
LSD-YOLO: Enhanced YOLOv8n Algorithm for Efficient Detection of Lemon Surface Diseases
by Shuyang Wang, Qianjun Li, Tao Yang, Zhenghao Li, Dan Bai, Chenwei Tang and Haibo Pu
Plants 2024, 13(15), 2069; https://doi.org/10.3390/plants13152069 - 26 Jul 2024
Viewed by 367
Abstract
Lemon, as an important cash crop with rich nutritional value, holds significant cultivation importance and market demand worldwide. However, lemon diseases seriously impact the quality and yield of lemons, necessitating their early detection for effective control. This paper addresses this need by collecting [...] Read more.
Lemon, as an important cash crop with rich nutritional value, holds significant cultivation importance and market demand worldwide. However, lemon diseases seriously impact the quality and yield of lemons, necessitating their early detection for effective control. This paper addresses this need by collecting a dataset of lemon diseases, consisting of 726 images captured under varying light levels, growth stages, shooting distances and disease conditions. Through cropping high-resolution images, the dataset is expanded to 2022 images, comprising 4441 healthy lemons and 718 diseased lemons, with approximately 1–6 targets per image. Then, we propose a novel model lemon surface disease YOLO (LSD-YOLO), which integrates Switchable Atrous Convolution (SAConv) and Convolutional Block Attention Module (CBAM), along with the design of C2f-SAC and the addition of a small-target detection layer to enhance the extraction of key features and the fusion of features at different scales. The experimental results demonstrate that the proposed LSD-YOLO achieves an accuracy of 90.62% on the collected datasets, with mAP@50–95 reaching 80.84%. Compared with the original YOLOv8n model, both mAP@50 and mAP@50–95 metrics are enhanced. Therefore, the LSD-YOLO model proposed in this study provides a more accurate recognition of healthy and diseased lemons, contributing effectively to solving the lemon disease detection problem. Full article
(This article belongs to the Special Issue Precision Agriculture in Crop Production)
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<p>Architecture of SAConv with SAC components, locks, and global context module.</p>
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<p>Samples in different shooting environments (<b>a</b>) leaf shade, (<b>b</b>) poor lighting, (<b>c</b>) single lemon, (<b>d</b>) multiple lemons, (<b>e</b>) shade present in diseased lemons, (<b>f</b>) different backgrounds, (<b>g</b>) diseased lemons and healthy lemons in the same frame, and (<b>h</b>) good lighting.</p>
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<p>Network structure of LSD-YOLO.</p>
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<p>Structure of the C2f_SAC module.</p>
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<p>Variations in accuracy for mAP@50 and mAP@50–95 during the training process of five models, evaluated using 5-fold cross-validation on split1.</p>
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<p>Variations in accuracy for mAP@50 and mAP@50–95 during the training process of five models, evaluated using 5-fold cross-validation on split2.</p>
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<p>Variations in accuracy for mAP@50 and mAP@50–95 during the training process of five models, evaluated using 5-fold cross-validation on split3.</p>
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<p>Variations in accuracy for mAP@50 and mAP@50–95 during the training process of five models, evaluated using 5-fold cross-validation on split4.</p>
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<p>Variations in accuracy for mAP@50 and mAP@50–95 during the training process of five models, evaluated using 5-fold cross-validation on split5.</p>
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<p>The visualization results of TP, FP, and FN for five models after detection. In these visualizations, green indicates true positives (correctly identified positive samples), blue indicates false negatives (failed to detect positive samples), and red indicates false positives (incorrectly detected as positive samples).</p>
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11 pages, 1795 KiB  
Article
Flavonoid Profiles in the Pulp of Different Lemon Cultivars and Their Antioxidant Activity Based on UPLC–Q–TOF–MS
by Zhixiang Liu, Peng Wang, Chengcheng Liu and Xin Tang
Molecules 2024, 29(15), 3464; https://doi.org/10.3390/molecules29153464 - 24 Jul 2024
Viewed by 483
Abstract
Previous studies have indicated that there may be differences among the varieties of lemon flavonoids, but the details have not yet been made clear, which limits the comprehensive use of different cultivated lemon varieties. In this study, ultra-performance liquid chromatography–quadrupole–time-of-flight–mass spectrometry (UPLC–Q–TOF–MS) and [...] Read more.
Previous studies have indicated that there may be differences among the varieties of lemon flavonoids, but the details have not yet been made clear, which limits the comprehensive use of different cultivated lemon varieties. In this study, ultra-performance liquid chromatography–quadrupole–time-of-flight–mass spectrometry (UPLC–Q–TOF–MS) and ultraviolet–visible spectroscopy (UV–Vis) were used to investigate the types and contents of flavonoids in the flesh of the main cultivated variety (Eureka) and five common lemon varieties, as well as their in vitro antioxidant activity. A total of 21 compounds were identified, five of which were common compounds. Among them, Verna, Lisbon, and Bearss each have characteristic components that can serve as potential criteria for variety identification. Each of the six varieties of lemon has strong antioxidant activity. The antioxidant activity of different lemon varieties is related to flavonoids. Therefore, Eureka and the other five varieties of lemon are good natural antioxidants, and the cultivation and industrial production of lemons should consider the needs and selection of suitable varieties. Full article
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<p>Principal component analysis results chart. (<b>A</b>) 2D PCA plot; (<b>B</b>) 3D PCA plot. EU: Eureka; WE: Verna; LS: Lisbon; FM: Femminello; FN: Fino; BE: Bearss.</p>
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<p>The cluster heatmap of flavonoids in different lemon varieties. BE: Bearss; FN: Fino; WE: Verna; EU: Eureka; LS: Lisbon; FM: Femminello.</p>
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<p>The antioxidant activity of the different lemon varieties. (<b>A</b>) ABTS measurement; (<b>B</b>) DPPH measurement; (<b>C</b>) The FRAP method was used to determine the total antioxidant activity of the different lemon varieties. The different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Pearson correlation analysis heatmap of flavonoids in different lemon varieties.</p>
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17 pages, 1629 KiB  
Article
Influence of Different Deep Eutectic Solvents and Plant Extracts on Antioxidant, Mechanical, and Color Properties of Alginate Film
by Jolanta Kowalonek, Malo Hamieau and Aleksandra Szydłowska-Czerniak
Polymers 2024, 16(14), 2084; https://doi.org/10.3390/polym16142084 - 22 Jul 2024
Viewed by 516
Abstract
Eco-friendly functional alginate films with plant extracts (chokeberry pomace (ChP) or lemon balm (LB) herb) were obtained. Moreover, deep eutectic solvents (DESs) based on choline chloride, glucose, and betaine were used to acquire the active substances from plant materials. The films were tested [...] Read more.
Eco-friendly functional alginate films with plant extracts (chokeberry pomace (ChP) or lemon balm (LB) herb) were obtained. Moreover, deep eutectic solvents (DESs) based on choline chloride, glucose, and betaine were used to acquire the active substances from plant materials. The films were tested regarding the antioxidant, mechanical, and color properties. The results revealed that the films’ antioxidant capacities (AC) depended on the extract type and DES used, namely AC values for alginate films with LB were higher than those with ChP. Moreover, the results of the films’ mechanical properties depended only on the DES, which acted as a plasticizer in most cases. Furthermore, the color analysis of the studied films showed a dependence on the type of extract and DES. The lightness (L*) was influenced only by the DES type, while the solvent and extract type affected the a* and b* values. Our results show that the films can be applied as active packaging for food products. Full article
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<p>QUENCHER<sub>CUPRAC</sub> (<b>a</b>) and QUENCHER<sub>DPPH</sub> (<b>b</b>) mechanisms of antioxidant capacity measurements of alginate films loaded with chokeberry pomace (ChP) and lemon balm (LB).</p>
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<p>Appearance of the prepared alginate films.</p>
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<p>Three-dimensional principal component analysis plots based on (<b>a</b>) the scores (eleven fabricated alginate films) and (<b>b</b>) variables (L*, a*, b*, E, σ, ε, thickness, QENCHER<sub>DPPH</sub>, QUENCHER<sub>CUPRAC</sub>).</p>
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<p>Dendrograms of hierarchical cluster analysis for (<b>a</b>) the fabricated alginate films and (<b>b</b>) the studied variables.</p>
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<p>Correlation matrix.</p>
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26 pages, 5877 KiB  
Article
Citrus Pomace as a Source of Plant Complexes to Be Used in the Nutraceutical Field of Intestinal Inflammation
by Mariarosaria Ingegneri, Maria Rita Braghini, Michela Piccione, Cristiano De Stefanis, Manuela Mandrone, Ilaria Chiocchio, Ferruccio Poli, Martina Imbesi, Anna Alisi, Antonella Smeriglio and Domenico Trombetta
Antioxidants 2024, 13(7), 869; https://doi.org/10.3390/antiox13070869 - 19 Jul 2024
Viewed by 537
Abstract
This study aims to recover the main by-product of Citrus fruits processing, the raw pomace, known also as pastazzo, to produce plant complexes to be used in the treatment of inflammatory bowel disease (IBD). Food-grade extracts from orange (OE) and lemon (LE) [...] Read more.
This study aims to recover the main by-product of Citrus fruits processing, the raw pomace, known also as pastazzo, to produce plant complexes to be used in the treatment of inflammatory bowel disease (IBD). Food-grade extracts from orange (OE) and lemon (LE) pomace were obtained by ultrasound-assisted maceration. After a preliminary phytochemical and biological screening by in vitro assays, primary and secondary metabolites were characterized by proton nuclear magnetic resonance (1H-NMR) and liquid chromatography coupled to diode array detection and electrospray ionization mass spectrometry (LC-DAD-ESI-MS) analyses. The intestinal bioaccessibility and antioxidant and anti-inflammatory properties were investigated by in vitro simulated gastro-intestinal digestion followed by treatments on a lipopolysaccharide (LPS)-stimulated human colorectal adenocarcinoma cell line (Caco-2). The tight junctions-associated structural proteins (ZO-1, Claudin-1, and Occludin), transepithelial electrical resistance (TEER), reactive oxygen species (ROS)-levels, expression of some key antioxidant (CAT, NRF2 and SOD2) and inflammatory (IL-1β, IL-6, TNF-α, IL-8) genes, and pNFkB p65 nuclear translocation, were evaluated. The OE and LE digesta, which did not show any significant difference in terms of phytochemical profile, showed significant effects in protecting against the LPS-induced intestinal barrier damage, oxidative stress and inflammatory response. In conclusion, both OE and LE emerged as potential candidates for further preclinical studies on in vivo IBD models. Full article
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<p><sup>1</sup>H NMR profiling of LE (top) and OE (bottom). Full spectra (<b>A</b>) and extended spectral regions from δ 5.95 to 7.30 (<b>B</b>), from δ 3.2 to 5.5 (<b>C</b>), and from δ 3.1 to 0.7 (<b>D</b>). 1 = sucrose, 2 = <span class="html-italic">α</span>-glucose, 3 = <span class="html-italic">β</span>-glucose, 4 = citric acid, 5 = tyrosine, 6 = asparagine, 7 = fructose, 8 = malic acid, 9 = GABA, 10 = aspartic acid, 11 = succinic acid, 12 = proline, 13 = alanine.</p>
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<p>Distribution percentage of phytochemical classes identified in orange and lemon raw pomace extracts (OE and LE, respectively).</p>
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<p>Representative LC-DAD chromatograms of orange raw pomace extract (OE, panel <b>A</b>) and lemon raw pomace extract (LE, panel <b>B</b>) pre- (black) and post-gastro-duodenal digestion (orange and green chromatogram, respectively) acquired at 292 nm.</p>
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<p>OE and LE effects on Caco-2 cell viability. Cell viability evaluated by XTT assay and expressed as percentage of cell viability in Caco-2 cells untreated or treated with different concentrations of OE for 24 h (<b>A</b>) and 48 h (<b>B</b>); and in Caco-2 cells untreated or treated with different concentrations of LE for 24 h (<b>C</b>) and 48 h (<b>D</b>). Values are the mean ± SD of three independent experiments repeated at least in quintuplicate. Data were analyzed by 2-tailed Student’s <span class="html-italic">t</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; ns: non-significant.</p>
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<p>Cell viability and proliferation in Caco-2 cells under different treatments. Cell viability evaluated by XTT assay and expressed as percentage of cell viability in Caco-2 cells untreated or treated with different concentrations of LPS for 24 h (<b>A</b>) and 48 h (<b>B</b>); and in Caco-2 cells untreated (Ctrl) or treated with LPS, LPS + 200 µg/mL OE and LPS + 200 µg/mL LE for 24 h (<b>C</b>) and 48 h (<b>D</b>). Cell proliferation monitored by using the Incucyte live cell imaging system was expressed as fold change of mean cell confluence in Caco-2 cells Ctrl, LPS, LPS + 200 µg/mL OE, and LPS + 200 µg/mL LE for 24 h (<b>E</b>) and 48 h (<b>F</b>). Values are the mean ± SD of three independent experiments repeated at least in quintuplicate. Data were analyzed by 2-tailed Student’s <span class="html-italic">t</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; ns: non-significant.</p>
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<p>Intestinal permeability of Caco-2 cells under different treatments. (<b>A</b>) TEER values expressed as percentage of initial values of unit area resistance calculated by dividing resistance values by the effective membrane area in Caco-2 cells Ctrl, LPS, LPS + 200 µg/mL OE, and LPS + 200 µg/mL LE. Values are the mean ± SD of three independent experiments. Data were analyzed by 2-tailed Student’s <span class="html-italic">t</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001. (<b>B</b>) Representative immunofluorescence by confocal imaging of ZO-1, Claudin-1, and Occludin in Caco-2 cells Ctrl, LPS, LPS + 200 µg/mL OE, and LPS + 200 µg/mL LE. 40× magnification.</p>
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<p>Oxidative stress of Caco-2 cells under different treatments. Fold change of the relative mean fluorescence (<b>A</b>) and representative images (<b>B</b>) of CM-H2DCFDA (green) staining in Caco-2 cells Ctrl, LPS, LPS + 200 µg/mL OE, and LPS + 200 µg/mL LE. Hoechst nuclear staining (blue). 40× magnification. Relative mRNA expression of CAT (<b>C</b>), SOD2 (<b>D</b>), and NRE2L2 (<b>E</b>) genes measured by qPCR in Caco-2 cells Ctrl, LPS, LPS + 200 µg/mL OE, and LPS + 200 µg/mL LE. Values are the mean ± SD of three independent experiments. Data were analyzed by 2-tailed Student’s <span class="html-italic">t</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; ns: non-significant.</p>
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<p>Inflammatory response of Caco-2 cells under different treatments. Relative mRNA expression of <span class="html-italic">IL-1β</span> (<b>A</b>), <span class="html-italic">IL-6</span> (<b>B</b>), <span class="html-italic">IL-8</span> (<b>C</b>), and <span class="html-italic">TNF-α</span> (<b>D</b>) genes measured by qPCR in Caco-2 cells Ctrl, LPS, LPS + 200 µg/mL OE, and LPS + 200 µg/mL LE. Representative immunofluorescence by confocal imaging (<b>E</b>) and QFIA (<b>F</b>) of pNFκB p65 (red) in Caco-2 cells Ctrl, LPS, LPS + 200 µg/mL OE, and LPS + 200 µg/mL LE. Hoechst nuclear staining (blue). 40× magnification. Values are the mean ± SD of three independent experiments. Data were analyzed by 2-tailed Student’s <span class="html-italic">t</span> test. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; ns: non-significant.</p>
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15 pages, 2577 KiB  
Article
Evaluating the Impact of Low-Pathogenicity Avian Influenza H6N1 Outbreaks in United Kingdom and Republic of Ireland Poultry Farms during 2020
by Michael J. McMenamy, Robyn McKenna, Valerie B. Bailie, Ben Cunningham, Adam Jeffers, Kelly McCullough, Catherine Forsythe, Laura Garza Cuartero, Orla Flynn, Christina Byrne, Emily Connaghan, John Moriarty, June Fanning, Stephanie Ronan, Damien Barrett, Alice Fusaro, Isabella Monne, Calogero Terregino, Joe James, Alexander M. P. Byrne, Fabian Z. X. Lean, Alejandro Núñez, Scott M. Reid, Rowena Hansen, Ian H. Brown, Ashley C. Banyard and Ken Lemonadd Show full author list remove Hide full author list
Viruses 2024, 16(7), 1147; https://doi.org/10.3390/v16071147 - 16 Jul 2024
Viewed by 912
Abstract
In January 2020, increased mortality was reported in a small broiler breeder flock in County Fermanagh, Northern Ireland. Gross pathological findings included coelomitis, oophoritis, salpingitis, visceral gout, splenomegaly, and renomegaly. Clinical presentation included inappetence, pronounced diarrhoea, and increased egg deformation. These signs, in [...] Read more.
In January 2020, increased mortality was reported in a small broiler breeder flock in County Fermanagh, Northern Ireland. Gross pathological findings included coelomitis, oophoritis, salpingitis, visceral gout, splenomegaly, and renomegaly. Clinical presentation included inappetence, pronounced diarrhoea, and increased egg deformation. These signs, in combination with increased mortality, triggered a notifiable avian disease investigation. High pathogenicity avian influenza virus (HPAIV) was not suspected, as mortality levels and clinical signs were not consistent with HPAIV. Laboratory investigation demonstrated the causative agent to be a low-pathogenicity avian influenza virus (LPAIV), subtype H6N1, resulting in an outbreak that affected 15 premises in Northern Ireland. The H6N1 virus was also associated with infection on 13 premises in the Republic of Ireland and six in Great Britain. The close genetic relationship between the viruses in Ireland and Northern Ireland suggested a direct causal link whereas those in Great Britain were associated with exposure to a common ancestral virus. Overall, this rapidly spreading outbreak required the culling of over 2 million birds across the United Kingdom and the Republic of Ireland to stamp out the incursion. This report demonstrates the importance of investigating LPAIV outbreaks promptly, given their substantial economic impacts. Full article
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<p>Timeline and location of infected premises across the Republic of Ireland, Northern Ireland, England, and Scotland. Location and flock size of infected premises across affected areas are shown, with the increasing number of premises illustrated at each site. The time of detections is coloured by month according to the key.</p>
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<p>Histopathological changes associated with avian influenza virus infection. Severe necrotising tubulointerstitial nephritis (<b>a</b>); mild suppurative salpingitis (arrow refers to intra-epithelial heterophils and arrowhead refers to exudate and cellular debris (<b>b</b>); mild lymphoid depletion (arrow) in the spleen (<b>c</b>); and caecal tonsil (<b>d</b>). Insets are immunohistochemical-labelled serial tissue sections imaged at the same magnification. Serial sections are stained with haematoxylin and eosin and influenza A nucleoprotein antibody (insets). Original magnifications 100× (<b>c</b>), 200× (<b>a</b>,<b>d</b>), 400× (<b>b</b>).</p>
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<p>Immunohistochemical detection of influenza A virus antigen. Rare vascular labelling was detected in the cerebral capillary (<b>a</b>) and air capillary (<b>b</b>). Rare and moderate levels of epithelial immunolabelling were detected in the tracheal (<b>c</b>) and renal tubules (<b>d</b>). Sections were immunolabelled with influenza A nucleoprotein antibody. Original magnifications 100× (<b>d</b>) and 400× (<b>a</b>–<b>c</b>).</p>
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21 pages, 6208 KiB  
Article
Genome-Wide Identification of APX Gene Family in Citrus maxima and Expression Analysis at Different Postharvest Preservation Times
by Yu Zhang, Yujiao Peng, Huixin Zhang, Qiuyu Gao, Fangfei Song, Xueyu Cui and Fulei Mo
Genes 2024, 15(7), 911; https://doi.org/10.3390/genes15070911 - 12 Jul 2024
Viewed by 571
Abstract
Ascorbate peroxidase (APX) is a crucial enzyme involved in cellular antioxidant defense and plays a pivotal role in modulating reactive oxygen species (ROS) levels under various environmental stresses in plants. This study utilized bioinformatics methods to identify and analyze the APX gene family [...] Read more.
Ascorbate peroxidase (APX) is a crucial enzyme involved in cellular antioxidant defense and plays a pivotal role in modulating reactive oxygen species (ROS) levels under various environmental stresses in plants. This study utilized bioinformatics methods to identify and analyze the APX gene family of pomelo, while quantitative real-time PCR (qRT-PCR) was employed to validate and analyze the expression of CmAPXs at different stages of fruit postharvest. This study identified 96 members of the CmAPX family in the entire pomelo genome, with uneven distribution across nine chromosomes and occurrences of gene fragment replication. The subcellular localization includes peroxisome, cytoplasm, chloroplasts, and mitochondria. The CmAPX family exhibits a similar gene structure, predominantly consisting of two exons. An analysis of the upstream promoter regions revealed a significant presence of cis-acting elements associated with light (Box 4, G-Box), hormones (ABRE, TCA-element), and stress-related (MBS, LTR, ARE) responses. Phylogenetic and collinearity analyses revealed that the CmAPX gene family can be classified into three subclasses, with seven collinear gene pairs. Furthermore, CmAPXs are closely related to citrus, pomelo, and lemon, followed by Arabidopsis, and exhibit low homology with rice. Additionally, the transcriptomic heat map and qPCR results revealed that the expression levels of CmAPX57, CmAPX34, CmAPX50, CmAPX4, CmAPX5, and CmAPX81 were positively correlated with granulation degree, indicating the activation of the endogenous stress resistance system in pomelo cells by these genes, thereby conferring resistance to ROS. This finding is consistent with the results of GO enrichment analysis. Furthermore, 38 miRNAs were identified as potential regulators targeting the CmAPX family for post-transcriptional regulation. Thus, this study has preliminarily characterized members of the APX gene family in pomelo and provided valuable insights for further research on their antioxidant function and molecular mechanism. Full article
(This article belongs to the Collection Feature Papers: 'Plant Genetics and Genomics' Section)
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<p>Chromosome location of the <span class="html-italic">APX</span> gene in pomelo; the bar scale on the left indicates chromosome length.</p>
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<p>Phylogenetic analysis of the amino acid sequence of APX from <span class="html-italic">C. maxima</span> (five-pointed star), <span class="html-italic">C. sinensis</span> (triangle), <span class="html-italic">A. thaliana</span> (circle), and <span class="html-italic">O. sativa</span> (square).</p>
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<p>Gene structures and conservative motif analysis of the <span class="html-italic">APX</span> gene family in pomelo. (<b>A</b>) phylogenetic tree of CmAPX proteins; (<b>B</b>) conserved motifs of CmAPX proteins; (<b>C</b>) gene structure of <span class="html-italic">CmAPX</span> genes.</p>
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<p>Analysis of the cis-acting elements of the <span class="html-italic">APX</span> gene promoter in pomelo. The depth of color in the figure represents the amount, with light green colors indicating a smaller or zero quantity, and dark green colors indicating a larger quantity.</p>
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<p>Collinearity analysis of <span class="html-italic">APX</span> genes in <span class="html-italic">C. maxima</span> (<b>A</b>) and between <span class="html-italic">C. maxima and A. thaliana</span> (<b>B</b>), <span class="html-italic">O. sativa</span> (<b>C</b>), <span class="html-italic">C. sinensis</span> (<b>D</b>), <span class="html-italic">C. maxima</span> cv Cuipi Majiayou (<b>E</b>), and <span class="html-italic">C. limon</span> (<b>F</b>). Genes of <span class="html-italic">APX</span> subfamilies with gene duplication relationships are connected by lines in red.</p>
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<p>CmAPX GO function classification diagram.</p>
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<p>Network of miRNA–gene interaction of <span class="html-italic">APX</span> genes. Blue color represents the <span class="html-italic">APX</span> gene and yellow color represents the csi-miRNA associated with <span class="html-italic">APX</span>.</p>
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<p>Expression profiling of <span class="html-italic">CmAPX</span> genes at different stages of development of pomelo fruit sacs (<b>A</b>) and under different storage times after harvest (<b>B</b>); one-way ANOVA was used to compare the expression level. Data represent mean values ± SD, n = 3. Different letters mean <span class="html-italic">p</span> &lt; 0.05.</p>
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16 pages, 1399 KiB  
Article
Enhancing Broiler Welfare and Foot Pad Quality through the Use of Medicinal Plant-Based Pellets as Bedding Material
by Krzysztof Damaziak, Łukasz Gontar, Monika Łukasiewicz-Mierzejewska, Maksymilian Kochański, Julia Riedel, Wojciech Wójcik, Dariusz Gozdowski and Jan Niemiec
Agriculture 2024, 14(7), 1091; https://doi.org/10.3390/agriculture14071091 - 6 Jul 2024
Viewed by 485
Abstract
The aim of this study was to investigate the impact of different bedding materials on both production performance and foot quality, assessed through the incidence, severity, and microbiological quality of foot pad dermatitis (FPD). A total of 2400 Ross 308 chickens were raised [...] Read more.
The aim of this study was to investigate the impact of different bedding materials on both production performance and foot quality, assessed through the incidence, severity, and microbiological quality of foot pad dermatitis (FPD). A total of 2400 Ross 308 chickens were raised over 42 days, distributed across eight bedding material types (eight groups × four treatments × 75 chickens each). These pellets either lacked medicinal plant components or included 30% of plant parts, such as oregano (Origanum vulgare), summer savory (Satureja hortensis), lemon balm (Melissa officinalis), salvia (Salvia officinalis), and thyme (Thymus vulgaris). Production performance controls included body weight (BW) at 42 days of age, feed conversion ratio (FCR), and mortality. The severity of FPD was evaluated at 28, 35, and 42 days using a scale ranging from S0 to S3. A microbiological analysis of the feet was based on the FPD score. Broilers raised on straw chaff (bedding: 24% oregano and 6% summer savory, 18% oregano and 12% summer savory, and 24% oregano and 6% thyme) exhibited the highest BW. Straw chaff-reared broilers demonstrated the lowest FCR. The highest mortality occurred on 18% oregano and 12% summer savory bedding, which may have been caused by the high share of summer savory, which could be toxic. At 35 and 42 days, broilers in the 24% oregano and 6% summer savory group exhibited the best foot quality, while those on straw chaff and 18% oregano and 12% summer savory had the worst one. The influence of medicinal plants in the pellets was particularly notable in reducing Listeria sp. This reduction was likely due to the presence of carvacrol from summer savory, quercetin from lemon balm, and thymol from thyme. Based on our research, the best bedding materials for foot quality are 24% oregano with 6% summer savory and 18% summer savory with 12% salvia, while 18% summer savory with 12% lemon balm and 18% summer savory with 12% thymus were the most effective in limiting Listeria sp. Full article
(This article belongs to the Section Farm Animal Production)
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<p>Distribution of experimental groups and schematic representation of single-pen equipment. (<b>A</b>): First cycle, (<b>B</b>): Second cycle. Bedding material types for different experimental groups—Straw chaff: 100% nonpelleted straw chaff; Straw pellet: 100% pelleted straw chaff; P1: pelleted 70% straw chaff, 24% <span class="html-italic">Origanum vulgare</span>, and 6% <span class="html-italic">Satureja hortensis</span>; P2: pelleted 70% straw chaff, 18% <span class="html-italic">S. hortensis</span>, and 12% <span class="html-italic">O. vulgare</span>; P3: pelleted 70% straw chaff, 18% <span class="html-italic">S. hortensis</span>, and 12% <span class="html-italic">Melissa officinalis</span>; P4: pelleted 70% straw chaff, 18% <span class="html-italic">S. hortensis</span>, and 12% <span class="html-italic">Salvia officinalis</span>; P5: pelleted 70% straw chaff, 18% <span class="html-italic">S. hortensis</span>, and 12% <span class="html-italic">Thymus vulgaris</span>; P6: pelleted 70% straw chaff, 24% <span class="html-italic">O. vulgare</span>, and 6% <span class="html-italic">T. vulgaris</span>.</p>
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<p>Foot pad dermatitis view of experimental broiler with varying degrees of dermatitis. S0–S3; FPD severity scales according to Butterworth [<a href="#B16-agriculture-14-01091" class="html-bibr">16</a>]. Top and middle rows depict photographs at different magnifications. Bottom row displays histological micrographs corresponding to different stages of FPD.</p>
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<p>Effects of bedding materials and FPD score on broiler feet tissue microbiology at 42 days of life. Columns indicate means and vertical bars represent the standard deviation for six independent replicates. S0–S3; advancement scales FPD according to Butterworth (2009) [<a href="#B16-agriculture-14-01091" class="html-bibr">16</a>]. All main effects for six independent replicates (3 chicks × 4 treatments). Straw chaff: 100% nonpelleted straw chaff; Straw pellet: 100% pelleted straw chaff; P1: pelleted 70% straw chaff, 24% <span class="html-italic">Origanum vulgare</span>, and 6% <span class="html-italic">Satureja hortensis</span>; P2: pelleted 70% straw chaff, 18% <span class="html-italic">S. hortensis</span>, and 12% <span class="html-italic">O. vulgare</span>; P3: pelleted 70% straw chaff, 18% <span class="html-italic">S. hortensis</span>, and 12% <span class="html-italic">Melissa officinalis</span>; P4: pelleted 70% straw chaff, 18% <span class="html-italic">S. hortensis</span>, and 12% <span class="html-italic">Salvia officinalis</span>; P5: pelleted 70% straw chaff, 18% <span class="html-italic">S. hortensis</span>, and 12% <span class="html-italic">Thymus vulgaris</span>; P6: pelleted 70% straw chaff, 24% <span class="html-italic">O. vulgare</span>, and 6% <span class="html-italic">T. vulgaris</span>.</p>
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11 pages, 607 KiB  
Article
Evaluating the Susceptibility of Different Crops to Smoke Taint
by Julie Culbert, Renata Ristic and Kerry Wilkinson
Horticulturae 2024, 10(7), 713; https://doi.org/10.3390/horticulturae10070713 - 5 Jul 2024
Viewed by 788
Abstract
The potential for grapes and wine to be tainted following vineyard exposure to wildfire smoke is well established, with recent studies suggesting hops and apples (and thus beer and cider) can be similarly affected. However, the susceptibility of other crops to ‘smoke taint’ [...] Read more.
The potential for grapes and wine to be tainted following vineyard exposure to wildfire smoke is well established, with recent studies suggesting hops and apples (and thus beer and cider) can be similarly affected. However, the susceptibility of other crops to ‘smoke taint’ has not yet been investigated. Smoke was applied to a selection of fruits and vegetables, as well as potted lavender plants, and their volatile phenol composition determined by gas chromatography–mass spectrometry to evaluate their susceptibility to contamination by smoke. Volatile phenols were observed in control (unsmoked) capsicum, cherry, lavender, lemon, spinach and tomato samples, typically at ≤18 µg/kg, but 52 µg/kg of guaiacol and 83–416 µg/kg of o- and m-cresol and 4-methylsyringol were detected in tomato and lavender samples, respectively. However, significant increases in volatile phenol concentrations were observed as a consequence of smoke exposure; with the highest volatile phenol levels occurring in smoke-exposed strawberry and lavender samples. Variation in the uptake of volatile phenols by different crops was attributed to differences in their physical properties, i.e., their surface area, texture and/or cuticle composition, while the peel of banana, lemon, and to a lesser extent apple samples, mitigated the permeation of smoke-derived volatile phenols into pulp. Results provide valuable insight into the susceptibility of different crops to smoke contamination. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
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<p>Principal component analysis biplot of volatile phenol concentrations measured in different crops, following exposure to smoke.</p>
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17 pages, 2658 KiB  
Article
A Comparative Water Footprint Analysis of Conventional versus Organic Citrus Production: A Case Study in Spain
by Alberto Imbernón-Mulero, Victoriano Martínez-Alvarez, Saker Ben Abdallah, Belén Gallego-Elvira and José F. Maestre-Valero
Agriculture 2024, 14(7), 1029; https://doi.org/10.3390/agriculture14071029 - 28 Jun 2024
Viewed by 507
Abstract
Spain is the leading citrus producer in the European Union, with the Segura River Basin in southeastern Spain playing a crucial role in this industry. However, the impact of local agricultural production on water appropriation has been overlooked. This study assesses the water [...] Read more.
Spain is the leading citrus producer in the European Union, with the Segura River Basin in southeastern Spain playing a crucial role in this industry. However, the impact of local agricultural production on water appropriation has been overlooked. This study assesses the water footprint (WF) of both conventional and organic citrus production using the Water Footprint Network approach, addressing beneficial practices aiming to reduce the water appropriation impact. Focusing on four citrus fields, the evaluation covers green, blue, and grey components of the WF, and secondary impacts from electricity and fossil fuel consumption, which are usually omitted from the WF assessments. The results indicate that the total WF for organic orange and lemon production is over 19% lower than for the conventional system. Notable differences are observed in the blue component, attributed to the use of vegetative mulches, and in the grey component due to the reduced impact of fertilizers in organic practices. The individual and total WF values are lower than those reported in other citrus studies, and are linked to efficient resource management in semi-arid regions that helps overcome water scarcity. Nevertheless, the sustainability analysis reveals major challenges for the citrus sector in the basin, highlighting the strain on resources given the limited water availability. The available water remaining (AWARE) indicator demonstrates extremely high potential water deprivation in the area. Overall, the study underscores the necessity of integrating WF analyses in agricultural planning to manage resource scarcity effectively. Future research should focus on developing precise methodologies and incorporating unconventional farming practices to enhance sustainability. This research provides valuable insights for stakeholders aiming to optimize water use in agriculture under scarce resource conditions. Full article
(This article belongs to the Section Agricultural Water Management)
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<p>Location of Segura River Basin and the citrus fields studied.</p>
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<p>Flow diagram and methodology of the research scope.</p>
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<p>Direct (green, blue, and grey), secondary (derived from electricity and fossil fuel consumption) and total water footprint (m<sup>3</sup> t<sup>−1</sup>) of organic and conventional lemon and orange production, calculated by using the field irrigation program for the blue water footprint (WF<sub>blue-ir</sub>) and 50 mg L<sup>−1</sup> of maximum nitrogen concentration allowed used in Equation (5).</p>
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<p>Water usage (m<sup>3</sup> ha<sup>−1</sup>) associated with the green, blue, and grey water footprint (Y-axis) and derived from electricity and fossil fuel consumption (secondary Y-axis), calculated using the field irrigation program for the blue water footprint (WF<sub>blue-ir</sub>) and 50 mg L<sup>−1</sup> of maximum nitrogen concentration allowed, as used in Equation (5).</p>
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<p>Comparison of water consumption (m<sup>3</sup> ha<sup>−1</sup>, triangles) and the blue water footprint (m<sup>3</sup> t<sup>−1</sup>, bars) using the irrigation program performed in the field and CROPWAT software for each plot.</p>
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<p>Global comparison of the direct water footprint (green, blue, and grey) estimated for various citrus productions by Mekonnen and Hoekstra [<a href="#B1-agriculture-14-01029" class="html-bibr">1</a>], Machin-Ferrero et al. [<a href="#B7-agriculture-14-01029" class="html-bibr">7</a>], Munro et al. [<a href="#B20-agriculture-14-01029" class="html-bibr">20</a>], Novoa et al. [<a href="#B21-agriculture-14-01029" class="html-bibr">21</a>] and Aldaya et al. [<a href="#B56-agriculture-14-01029" class="html-bibr">56</a>]. For fields A–D, the blue water footprint considering the irrigation program and 50 mg L<sup>−1</sup> as the maximum nitrogen concentration allowed were used. * Organic plots.</p>
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<p>Global comparison of the direct water footprint (green, blue, and grey) estimated for various citrus productions by Mekonnen and Hoekstra [<a href="#B1-agriculture-14-01029" class="html-bibr">1</a>], Machin-Ferrero et al. [<a href="#B7-agriculture-14-01029" class="html-bibr">7</a>], Munro et al. [<a href="#B20-agriculture-14-01029" class="html-bibr">20</a>], Novoa et al. [<a href="#B21-agriculture-14-01029" class="html-bibr">21</a>] and Aldaya et al. [<a href="#B56-agriculture-14-01029" class="html-bibr">56</a>]. For fields A–D, the blue water footprint considering the irrigation program and 50 mg L<sup>−1</sup> as the maximum nitrogen concentration allowed were used. * Organic plots.</p>
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<p>Variation in the grey water footprint (m<sup>3</sup> t<sup>−1</sup>) in fields A–D depending on the maximum nitrogen concentration (mg L<sup>−1</sup>) used for calculations in Equation (5).</p>
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11 pages, 892 KiB  
Communication
Antimicrobial Potential of Pomegranate and Lemon Extracts Alone or in Combination with Antibiotics against Pathogens
by Grace Farhat, Lewis Cheng, Emad A. S. Al-Dujaili and Mikhajlo Zubko
Int. J. Mol. Sci. 2024, 25(13), 6943; https://doi.org/10.3390/ijms25136943 - 25 Jun 2024
Viewed by 1135
Abstract
Amidst the growing concern of antimicrobial resistance as a significant health challenge, research has emerged, focusing on elucidating the antimicrobial potential of polyphenol-rich extracts to reduce reliance on antibiotics. Previous studies explored the antifungal effects of extracts as potential alternatives to conventional therapeutic [...] Read more.
Amidst the growing concern of antimicrobial resistance as a significant health challenge, research has emerged, focusing on elucidating the antimicrobial potential of polyphenol-rich extracts to reduce reliance on antibiotics. Previous studies explored the antifungal effects of extracts as potential alternatives to conventional therapeutic strategies. We aimed to assess the antibacterial and antifungal effects of standardised pomegranate extract (PE) and lemon extract (LE) using a range of Gram-negative and Gram-positive bacteria and two yeast species. Additionally, we assessed the antimicrobial activities of common antibiotics (Ciprofloxacin, Imipenem, Gentamicin, and Ceftazidime), either alone or in combination with extracts, against Staphylococcus aureus and Escherichia coli. PE displayed substantial antibacterial (primarily bactericidal) and antifungal effects against most pathogens, while LE exhibited antibacterial (mostly bacteriostatic) and antifungal properties to a lesser extent. When compared with antibiotics, PE showed a greater zone of inhibition (ZOI) than Ciprofloxacin and Ceftazidime (p < 0.01) and comparable ZOI to Gentamicin (p = 0.4) against Staphylococcus aureus. However, combinations of either PE or LE with antibiotics exhibited either neutral or antagonistic effects on antibiotic activity against Staphylococcus aureus and Escherichia coli. These findings contribute to the existing evidence regarding the antimicrobial effects of PE and LE. They add to the body of research suggesting that polyphenols exert both antagonistic and synergistic effects in antimicrobial activity. This highlights the importance of identifying optimal polyphenol concentrations that can enhance antibiotic activity and reduce antibiotic resistance. Further in vivo studies, starting with animal trials and progressing to human trials, may potentially lead to recommendation of these extracts for therapeutic use. Full article
(This article belongs to the Special Issue Health Promoting Benefits of Natural Products and Functional Foods)
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<p>Antibacterial and antifungal activities of pomegranate and lemon extracts in disc diffusion assays. Values are expressed as mean ZOI (SEM); MRSA: methicillin-resistant <span class="html-italic">Staphylococcus aureus.</span></p>
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<p>Zones of inhibition of <span class="html-italic">S. aureus</span> growth by antibiotics and extracts at various concentrations. Values are expressed as mean ZOI (SEM). <span class="html-italic">y</span>-axis represents zones of inhibition (ZOI); C. Ciprofloxacin; G: Gentamicin; I: Imipenem; CZ: Ceftazidime. * <span class="html-italic">p</span> &lt; 0.001. Significance is compared to that in assays involving 20 µL solution of antibiotics.</p>
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<p>Zones of inhibition of <span class="html-italic">E. coli</span> growth by antibiotics and extracts at various concentrations. Values are expressed as mean ZOI (SEM). <span class="html-italic">y</span>-axis represents zones of inhibition (ZOI); C: Ciprofloxacin; G: Gentamicin; I: Imipenem; CZ: Ceftazidime. * <span class="html-italic">p</span> &lt; 0.001. Significance is compared to that in assays involving 20 µL solution of antibiotics.</p>
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18 pages, 4339 KiB  
Article
Soil Microbial Communities in Lemon Orchards Affected by Citrus Mal Secco Disease
by Alexandros Mosca, Giulio Dimaria, Daniele Nicotra, Francesco Modica, Maria Elena Massimino, Antonino F. Catara, Giuseppe Scuderi, Marcella Russo and Vittoria Catara
Genes 2024, 15(7), 824; https://doi.org/10.3390/genes15070824 - 21 Jun 2024
Viewed by 935
Abstract
Mal secco is a vascular disease of citrus caused by the mitosporic fungus Plenodomus tracheiphilus. Soil containing infected plant material constitutes an inoculum source for root infections. In this study, the soil bacterial and fungal communities of five lemon orchards located in [...] Read more.
Mal secco is a vascular disease of citrus caused by the mitosporic fungus Plenodomus tracheiphilus. Soil containing infected plant material constitutes an inoculum source for root infections. In this study, the soil bacterial and fungal communities of five lemon orchards located in Syracuse Province (Sicily, Italy) affected by mal secco were analyzed. Soil samples were collected under lemon tree canopies and subjected to total genomic DNA extraction. The fungal DNA was detected through qPCR in all orchards, with variable concentrations. Bacterial and fungal communities were profiled using 16S and ITS amplicon-based high-throughput sequencing, respectively. According to our results, the relative abundances of the most represented bacterial phyla (e.g., Proteobacteria, Actinobacteriota, Acidobacteriota) changed across the orchards, while in the fungal community, the phylum Ascomycota was dominant, with Basidiomycota and Mortierellomycota abundances fluctuating. On the whole, β diversity analysis showed significant variation in the composition of the soil microbial communities across the orchards. This result was confirmed by the analysis of the core community (taxa present at ≥ 75% of total samples), where putative beneficial bacteria resulted in significantly enriched fungus-infected soil samples, suggesting complex microbial interactions. Our findings shed light on the composition and diversity of the soil microbiome in lemon orchards with the occurrence of mal secco infections. Full article
(This article belongs to the Special Issue Microbiome Analysis Techniques and Discovery)
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Figure 1

Figure 1
<p>PCoA plots depicting the β diversity of the bacterial (<b>A</b>) and fungal (<b>B</b>) communities. Each color represents a specific orchard.</p>
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<p>Relative abundance of the bacterial phyla (<b>A</b>) and genera (<b>B</b>).</p>
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<p>Relative abundance of the fungal phyla (<b>A</b>) and genera (<b>B</b>).</p>
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<p>Heatmap based on the relative abundance of the core bacterial (<b>A</b>) and fungal genera (<b>B</b>) detected across the orchards. Colors from dark blue to dark red represent the lowest and highest relative abundances, respectively.</p>
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<p>Scatter plot depicting the most significantly (<span class="html-italic">p</span>-value &lt; 0.05, FDR) enriched bacterial genera in the CA_SE, CA_SM, and CB_CU orchards (the 50 most abundant) (<b>A</b>) and in the MAZ_BO and MAZ_SE orchards (<b>B</b>). The color and size of the dots depicting the log<sub>2</sub>(Fold Change) for each genus are based on the phylum and the negative log p-values (FDR), respectively.</p>
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<p>Scatter plot depicting the most significantly (<span class="html-italic">p</span>-value &lt; 0.05, FDR) enriched fungal genera in the CA_SE, CA_SM, and CB_CU orchards (<b>A</b>) and in the MAZ_BO and MAZ_SE orchards (<b>B</b>). The color and size of the dots depicting the log<sub>2</sub>(Fold Change) for each genus are based on the phylum and the negative log p-values (FDR), respectively.</p>
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<p>Network based on the strongest Spearman correlations of values among the <span class="html-italic">Plenodomus</span> with bacterial and fungal genera. Positive correlations are depicted as green edges, negative correlations as red edges. The thickness of the edges changes according to the Spearman correlation values.</p>
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