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21 pages, 2080 KiB  
Review
Effects of Elevated CO2 on Maize Physiological and Biochemical Processes
by Pirzada Khan, Tariq Aziz, Rahmatullah Jan and Kyung-Min Kim
Agronomy 2025, 15(1), 202; https://doi.org/10.3390/agronomy15010202 (registering DOI) - 15 Jan 2025
Abstract
Maize (Zea mays) is a critical global crop, serving as a source of food, livestock feed, and industrial raw materials. Climate changes, driven by rising atmospheric carbon dioxide (CO2) levels, have substantial effects on maize physiology, growth, and nutrient [...] Read more.
Maize (Zea mays) is a critical global crop, serving as a source of food, livestock feed, and industrial raw materials. Climate changes, driven by rising atmospheric carbon dioxide (CO2) levels, have substantial effects on maize physiology, growth, and nutrient content. This review investigates the impact of elevated CO2 on maize, with a particular focus on photosynthesis enhancement as it improves water use efficiency (WUE), which can lead to increased biomass production. Despite this, elevated CO2 results in a decreased concentration of essential nutrients, including nitrogen, phosphorus, potassium, and folate. The reduction in folate, which is vital for both plant development and human nutrition, poses challenges, especially for population heavily reliant on maize. Additionally, biofortification through traditional breeding and genetic engineering is proposed as a strategy to enhance folate level in maize to mitigate nutritional deficiencies. Elevated CO2 stimulates lignin production, improving stress resistance and carbon sequestration capacity. However, the increase in guaiacyl-rich lignin may negatively affect biomass degradability and efficiency in biofuel production. The findings emphasize the importance of balancing maize’s stress resilience, nutrient profile, and lignin composition to address future climate challenges. This balance is essential for optimizing maize cultivation for food security, biofuel production, and environmental sustainability. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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Figure 1
<p>Negative and positive effects of elevated CO<sub>2</sub> on plants.</p>
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<p>The chemical structure of folates consists of three primary components: pterin, p-aminobenzoate (p-ABA), and glutamate, each highlighted within square brackets. The structure depicted is the monoglutamyl form of tetrahydrofolate (THF). In plants, folates often feature γ-linked polyglutamyl chains, with up to six glutamate residues attached to the initial glutamate. One-carbon (C1) units, in various oxidation states, can be linked to either the N-5 or N-10 positions, represented by R<sub>1</sub> and R<sub>2</sub>. The naturally occurring C1 units are listed beneath the structure. Additionally, the pteridine ring in folates can be found in several forms, including tetrahydro, dihydro, or fully oxidized states.</p>
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<p>The folate biosynthesis pathway in plants is compartmentalized within different cellular structures and involves various carrier-mediated transport mechanisms. The known plastidial folate transporters are depicted in black, while hypothetical carriers are shown in gray, with dotted lines representing proposed transport routes. It is assumed that p-aminobenzoate (p-ABA) moves primarily by diffusion. The speculated vacuolar folate transporter might handle polyglutamyl forms, unlike other common folate carriers. p-ABA is typically present as its glucose ester, formed via a reversible reaction with UDP-glucose in the cytosol [<a href="#B79-agronomy-15-00202" class="html-bibr">79</a>]. Abbreviations used for compounds include the following: ADC (aminodeoxychorismate), DHF (dihydrofolate), DHM (dihydromonapterin), DHN (dihydroneopterin), DHP (dihydropteroate), –Glc (glucose ester), –Glu n (polyglutamate), HMDHP (hydroxymethyl-dihydropterin), –P (phosphate), –P₂ (diphosphate), –P₃ (triphosphate), and THF (tetrahydrofolate). The key enzymes involved are as follows: (1) GTP cyclohydrolase I, (2) DHN-P₃ pyrophosphatase, (3) nonspecific phosphatase, (4) dihydroneopterin aldolase (responsible for DHN to DHM conversion and aldol cleavage of both), (5) aminodeoxychorismate synthase, (6) aminodeoxychorismate lyase, (7) hydroxymethyldihydropterin pyrophosphokinase, (8) dihydropteroate synthase, (9) dihydrofolate synthase, (10) dihydrofolate reductase, (11) folylpolyglutamate synthase, and (12) p-ABA glucosyltransferase.</p>
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<p>A monolignol biosynthetic pathway in grasses. The monolignols, including p-coumaryl alcohol, coniferyl alcohol, and sinapyl alcohol, are synthesized in the cytosol and subsequently transported to the secondary cell wall. Within the cell wall, they undergo oxidative reactions mediated by cell wall-bound peroxidase (PRX) and laccase (LAC), followed by radical coupling to form the lignin polymer. Mutant lines are indicated in indigo italics, including brown midrib maize (bm), brown midrib sorghum (bmr), orange lemma barley (rob), and gold hull and internode rice (gh). Indigo lines denote mutations that inhibit enzymatic activity within this pathway. The abbreviations for enzymes involved are as follows: phenylalanine ammonia-lyase (PAL), tyrosine ammonia-lyase (TAL), cinnamate 4-hydroxylase (C4H), 4-coumarate coenzyme A ligase (4CL), p-hydroxycinnamoyl-CoA/shikimate hydroxycinnamoyl transferase (HCT), p-coumarate 3-hydroxylase (C3′H), caffeoyl shikimate esterase (CSE), caffeoyl-CoA O-methyltransferase (CCoAOMT), cinnamoyl CoA reductase (CCR), ferulate 5-hydroxylase (F5H), caffeic acid/5-hydroxyferulic acid O-methyltransferase (COMT), and cinnamyl alcohol dehydrogenase (CAD). The illustration is adapted from reference [<a href="#B114-agronomy-15-00202" class="html-bibr">114</a>].</p>
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18 pages, 987 KiB  
Article
Experimental Investigation on Thermo-Economic Analysis of Direct Contact Membrane Distillation for Sustainable Freshwater Production
by Saleh M. Shalaby, Farid A. Hammad, Hamdy A. Ebeid, Asaad M. Armanuos, Iqbal M. Mujtaba and Tamer A. Gado
Processes 2025, 13(1), 240; https://doi.org/10.3390/pr13010240 (registering DOI) - 15 Jan 2025
Abstract
Treatment of extremely saline water such as the brine rejected from reverse osmosis water desalination plants, and produced water from shale oil and non-conventional gas extraction, is considered a global problem. Consequently, in this work, hollow fiber membrane distillation (HFMD) is experimentally evaluated [...] Read more.
Treatment of extremely saline water such as the brine rejected from reverse osmosis water desalination plants, and produced water from shale oil and non-conventional gas extraction, is considered a global problem. Consequently, in this work, hollow fiber membrane distillation (HFMD) is experimentally evaluated for desalinating extremely saline water of a salinity ranging from 40,000 to 130,000 ppm. For the purpose of comparison, the HFMD is also tested for desalinating brackish (3000–12,000 ppm) and sea (25,000–40,000 ppm) water. Firstly, the HFMD is tested at two values of feed water temperature (65 and 76 °C) and flow rate (600 and 850 L/h). The experimental results showed that the HFMD productivity significantly increases when the temperature of feed water increases. Increasing the feed water flow rate also has a positive effect on the productivity of HFMD. It is also concluded that the productivity of the HFMD is not significantly affected by increasing the salt concentration when brackish and sea water are used. The productivity also slightly decreases with increasing the salt concentration when extremely saline water is used. The decrement in the productivity reaches 27%, when the salt concentration increases from 40,000 to 130,000 ppm. Based on the conducted economic analysis, the HFMD shows a good potential for desalinating extremely saline water especially when the solar collector is used as a heat source. In this case, the cost per liter of freshwater is reduced by 21.7–23.1% when the evacuated tube solar collectors are used compared to the system using electrical heaters. More reduction in the cost per liter of freshwater is expected when a high capacity solar-powered HFMD plant is installed. Full article
(This article belongs to the Section Sustainable Processes)
12 pages, 6309 KiB  
Article
Microscopic Analysis of Temperature Effects on Surface Colonization and Biofilm Morphology of Salmonella enterica
by Zachariah Vice, You Zhou, Sapna Chitlapilly Dass and Rong Wang
Foods 2025, 14(2), 268; https://doi.org/10.3390/foods14020268 (registering DOI) - 15 Jan 2025
Abstract
Salmonella enterica represents a diverse group of pathogens commonly associated with food contamination including red meat. Even though pre- and post-harvest cleaning and sanitization procedures are widely implemented at meat processing plants to mitigate the hazard, S. enterica cells may escape the process [...] Read more.
Salmonella enterica represents a diverse group of pathogens commonly associated with food contamination including red meat. Even though pre- and post-harvest cleaning and sanitization procedures are widely implemented at meat processing plants to mitigate the hazard, S. enterica cells may escape the process by colonizing, on contact, surfaces in the form of a biofilm that functions as an aggregated microbial community to facilitate mutual protection, antimicrobial resistance, proliferation and dissemination. Biofilm development is a complex process that can be affected by a variety of factors including environmental temperature. We developed methods using scanning electron microscopy and confocal microscopy with a novel image analysis software tool to investigate the temperature influence on S. enterica cell colonization and biofilm formation by directly visualizing and comparing the biofilm matrix’s morphological differences under various temperatures. Cocktails of S. enterica strains belonging to serovars, commonly isolated from meat samples, were applied to develop biofilms on a stainless steel surface at 7, 15, or 37 °C. Results of the microscopy analysis showed that as temperature increased, better-defined biofilm structures with extracellular polymeric structures (EPS) could be identified. However, S. enterica colonization and aggregated bacterial biomass were clearly observed at the low temperature (7 °C) as well. These results demonstrate that the environmental temperature significantly contributes to S. enterica biofilm formation as the higher temperatures encourage bacterial active proliferation and biofilm maturation leading to the development of well-pronounced structures, while the lower temperature may promote cell attachment but, meanwhile, limit the EPS biosynthesis and biofilm maturation. Our study indicates that the mature S. enterica biofilms formed under favorable conditions may protect the pathogens with the well-developed 3-demensional (3D) structure against routine treatment. Furthermore, the low temperatures commonly maintained at meat plants are not able to effectively prevent S. enterica colonization and biofilm formation since at such temperatures there could still be colonized biomass that can contaminate the products. Therefore, the temperature effect on pathogen colonization and biofilm development should be taken into consideration while evaluating hygiene standards and sanitization procedures at the processing facilities. Full article
(This article belongs to the Special Issue The Survival Mechanisms and Control Methods of Salmonella in Foods)
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Figure 1
<p><span class="html-italic">S. enterica</span> biofilms formed at various temperatures are shown as confocal, single-exposure images (<b>top panel</b>) or three-dimensional projections of “Z-stacked” images (<b>bottom panel</b>). From left to right in each panel: biofilms formed at 7 °C, 15 °C, or 37 °C.</p>
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<p><span class="html-italic">S. enterica</span> biofilm 3D graphics panels generated by ParaView based on parameters calculated by BiofilmQ using 3D-visualization files (.vtk), showing biofilm structural density (<b>a</b>) and thickness (<b>b</b>). From left to right in each panel: biofilms formed at 7 °C, 15 °C, or 37 °C. The spectrum in color within the graphics indicates changes in density and biofilm thickness in (<b>a</b>,<b>b</b>), respectively.</p>
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<p>Representative SEM micrograph of biofilms formed by <span class="html-italic">S. enterica</span> cocktail strains at 7 °C on SS surface treated with sterile water. Magnification 10.0 k.</p>
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<p>Representative SEM micrograph of biofilms formed by <span class="html-italic">S. enterica</span> cocktail strains at 15 °C on SS surface treated with sterile water. Magnification 10.0 k.</p>
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20 pages, 895 KiB  
Article
Assessment of the Performance of 210Pb-Based Dating Models with a Challenging Sediment History in Maryport Harbour (UK)
by José M. Abril-Hernández
J. Mar. Sci. Eng. 2025, 13(1), 144; https://doi.org/10.3390/jmse13010144 (registering DOI) - 15 Jan 2025
Abstract
The 210Pb-based method is used for absolute age determination in recent sediments (<150 years). Different assumptions are possible, leading to different models and chronologies. The evaluation of the capacities and limitations of the models in challenging sedimentary scenarios is of broad interest [...] Read more.
The 210Pb-based method is used for absolute age determination in recent sediments (<150 years). Different assumptions are possible, leading to different models and chronologies. The evaluation of the capacities and limitations of the models in challenging sedimentary scenarios is of broad interest to the scientific community, and this is the aim of the present work. The performance of the classical models, CFCS and CRS, and the novel TERESA is assessed with a 2 m long, high-resolution core sampled in Maryport Harbour, UK, by using raw data from the literature. It was affected by dredging, shortening, and by the anthropogenic impacts of radionuclides released by the Sellafield nuclear plant and the phosphate industry in Whitehaven and was considered non-datable by the 210Pb method. A reference chronology from Sellafield-derived radionuclides serves to assess the 210Pb dating models. The study uses the mass depth scale and solves the estimation of the unsupported fraction of 210Pb needed for the models. The profile was very irregular, and a cluster analysis led to an ambiguous use of the piecewise CFCS model. The inventory was incomplete and in an unsteady state, but the CRS model can be tentatively applied with the reference SAR and the reference date methods, although also with ambiguous results. TERESA can explicitly handle 210Pbexc fluxes and sedimentation rates that vary over time and shows the best performance with insightful outputs. Full article
(This article belongs to the Special Issue Environmental Radioactivity and Its Applications in Marine Areas)
30 pages, 13353 KiB  
Review
Wearable Sensors for Plants: Status and Prospects
by Xuexin Yan, Yawen Pang, Kaiwen Niu, Bowen Hu, Zhengbo Zhu, Zuojun Tan and Hongwei Lei
Biosensors 2025, 15(1), 53; https://doi.org/10.3390/bios15010053 (registering DOI) - 15 Jan 2025
Abstract
The increasing demand for smart agriculture has led to the development of agricultural sensor technology. Wearable sensors show great potential for monitoring the physiological and surrounding environmental information for plants due to their high flexibility, biocompatibility, and scalability. However, wearable sensors for plants [...] Read more.
The increasing demand for smart agriculture has led to the development of agricultural sensor technology. Wearable sensors show great potential for monitoring the physiological and surrounding environmental information for plants due to their high flexibility, biocompatibility, and scalability. However, wearable sensors for plants face several challenges that hinder their large-scale practical application. In this review, we summarize the current research status of wearable plant sensors by analyzing the classification, working principles, sensor materials, and structural design and discussing the multifunctional applications. More importantly, we comment on the challenges the wearable plant sensors face and provide our perspectives on further improving the sensitivity, reliability, and stability of wearable plant sensors for future smart agriculture. Full article
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<p>Schematic of the application of wearable plant sensors.</p>
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<p>Flexible strain sensors with different sensing mechanisms: (<b>a</b>) capacitive; (<b>b</b>) piezoresistive; (<b>c</b>) piezoelectric; (<b>d</b>) triboelectric; (<b>e</b>) mechanoluminescence.</p>
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<p>Schematic diagram of the sensing mechanism of the flexible gas/humidity sensor: (<b>a</b>) gas induction and resulting band bending in granular SMO films: oxygen adsorption to the surface, forming depletion zones; adsorbed oxygen reacts with CO, reducing the amount of band bending [<a href="#B28-biosensors-15-00053" class="html-bibr">28</a>]. Copyright 2022, MDPI. (<b>b</b>) The charge transfer model explains the gas-sensing mechanism of two-dimensional layered materials [<a href="#B29-biosensors-15-00053" class="html-bibr">29</a>]. Copyright 2018, Springer Nature. (<b>c</b>) Mechanism of MoS<sub>2</sub> moisture sensor [<a href="#B30-biosensors-15-00053" class="html-bibr">30</a>]. Copyright 2021, ACS. (<b>d</b>) Schematic mechanism for electrical generation based on streaming current and ion gradient diffusion [<a href="#B31-biosensors-15-00053" class="html-bibr">31</a>]. Copyright 2020, Wiley.</p>
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<p>(<b>a</b>) Negative temperature coefficient thermistor based on nickel oxide [<a href="#B33-biosensors-15-00053" class="html-bibr">33</a>]. Copyright 2020, ACS. (<b>b</b>) Negative temperature coefficient thermistor response to temperature [<a href="#B33-biosensors-15-00053" class="html-bibr">33</a>]. Copyright 2020, ACS. (<b>c</b>) Positive temperature coefficient thermistor based on graphene particles [<a href="#B34-biosensors-15-00053" class="html-bibr">34</a>]. Copyright 2015, PNAS. (<b>d</b>) Positive temperature coefficient thermistor response to temperature [<a href="#B34-biosensors-15-00053" class="html-bibr">34</a>]. Copyright 2015, PNAS.</p>
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<p>(<b>a</b>) Schematic diagram of the formation of the wave structures [<a href="#B56-biosensors-15-00053" class="html-bibr">56</a>]. Copyright 2008, AIP. (<b>b</b>) The wavelength and amplitude of the wave structure and the substrate prestrain [<a href="#B57-biosensors-15-00053" class="html-bibr">57</a>]. Copyright 2010, Wiley. (<b>c</b>) The formation process of the island–bridge structure [<a href="#B58-biosensors-15-00053" class="html-bibr">58</a>]. Copyright 2009, Wiley. (<b>d</b>) Serpentine structure formation [<a href="#B59-biosensors-15-00053" class="html-bibr">59</a>]. Copyright 2018, Elsevier. (<b>e</b>) Origami and paper-cut designs [<a href="#B60-biosensors-15-00053" class="html-bibr">60</a>,<a href="#B61-biosensors-15-00053" class="html-bibr">61</a>]. Copyright 2010, Elsevier.</p>
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<p>Example of water content detection application. (<b>a</b>) Dynamic monitoring of water transport within plants [<a href="#B8-biosensors-15-00053" class="html-bibr">8</a>]. Copyright 2022, MDPI. (<b>b</b>) Nondestructive monitoring of plant moisture status using conductive ink based on CNTs [<a href="#B4-biosensors-15-00053" class="html-bibr">4</a>]. The first figure shows microscope pictures of a stoma in the opened and closed states with the stomatal aperture indicated. The second figure presents bright-field microscopy images of a microfluidic chip aligned on top of a single stoma (i, iii) and the same stoma after printing (ii, iv). Red arrows point to individual stomata. The third figure illustrates schematics of conductive circuits printing on the leaf surface. A microfluidic chip is placed on top of the leaf abaxial surface and clamped in between two holders. Copyright 2017, Royal Society of Chemistry. (<b>c</b>) Real image of the flexible PI-based plant drought sensor attached on the lower surface of leaves and Nicotiana tabacum responses to drought stress over time [<a href="#B3-biosensors-15-00053" class="html-bibr">3</a>]. Copyright 2018, MDPI.</p>
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<p>Example of mineral element detection application. (<b>a</b>) Glucose-selective sensor combined with reverse iontophoresis [<a href="#B70-biosensors-15-00053" class="html-bibr">70</a>]. Copyright 2023, Elsevier. (<b>b</b>) Plant nitrate sensor based on a photosensitive epoxy resin [<a href="#B76-biosensors-15-00053" class="html-bibr">76</a>]. Copyright 2022, ACS. (<b>c</b>) Invasive extraction and continuous monitoring of K+ in plant leaves using the leaching method [<a href="#B74-biosensors-15-00053" class="html-bibr">74</a>]. Copyright 2023, Elsevier.</p>
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<p>Example of organic substance detection application. (<b>a</b>) Synthesized self-supporting nitrogen-doped graphene microelectrodes based on a three-electrode system for the detection of SA in cucumber stems [<a href="#B77-biosensors-15-00053" class="html-bibr">77</a>]. Copyright 2021, Elsevier. (<b>b</b>) A low-cost, portable, and wearable electrochemical sensor based on the principle of electrocatalytic VOC-methanol redox [<a href="#B12-biosensors-15-00053" class="html-bibr">12</a>]. Copyright 2022, ACS. (<b>c</b>) A molybdenum disulfide paper-based electrochemical sensor based on noble metal alloyed nanoparticles (AuPtNPs) modification for monitoring ROS in plants [<a href="#B80-biosensors-15-00053" class="html-bibr">80</a>]. Copyright 2020, Elsevier.</p>
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<p>Example of electrical signal detection and plant growth detection application. (<b>a</b>) A deformable ion electrode made of thermogel, which was securely locked to an irregular, hairy surface. A metal plate was placed on top of the thermal electrode, thus successfully establishing a self-adhesive, conformal, and mechanically strong electrical interface on the hairy plant surface, realizing the recording of high-fidelity electrophysiological signals [<a href="#B82-biosensors-15-00053" class="html-bibr">82</a>]. Copyright 2021, Wiley. (<b>b</b>) A polyaniline (PANI)/elastic tape-based strain sensor, and by attaching the sensor to the stem internodes of sunflower and soybean, growth monitoring at the early stages of sunflower and soybean plants was realized [<a href="#B85-biosensors-15-00053" class="html-bibr">85</a>]. Copyright 2023, Wiley. (<b>c</b>) Attach sensors to the <span class="html-italic">Solanum melongena</span> L. (the white dotted frame )to quantitatively collect growth signals and output resistance signals [<a href="#B86-biosensors-15-00053" class="html-bibr">86</a>]. The second graph shows wearable device (●) and manual measurements (▲) for growth measurements over a 9 day period. And the fourth graph demonstrates that the diameter of the Cucurbita pepo exhibits a rhythmic growth pattern (illustrated with dash lines) as it grows in seconds. Copyright 2019, Elsevier.</p>
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<p>Example of environmental information detection application. (<b>a</b>) Schematic diagram and exploded view of a leaf sensor [<a href="#B14-biosensors-15-00053" class="html-bibr">14</a>]. Copyright 2019, ACS. (<b>b</b>) The real-time response–recovery curves of NH<sub>3</sub> sensors based on PANI/Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> hybrid sensitive films to 25–500 ppb NH<sub>3</sub> at 20 °C and under dry air [<a href="#B15-biosensors-15-00053" class="html-bibr">15</a>]. Copyright 2020, Elsevier. (<b>c</b>) Curves of the sensing response as a function of NH<sub>3</sub> concentration for two types of sensitive films for NH<sub>3</sub> sensors based on pure PANI and PANI/Ti<sub>3</sub>C<sub>2</sub>T<span class="html-italic"><sub>x</sub></span> hybrid sensitive films for NH<sub>3</sub> concentrations ranging from 2.0 to 10.0 ppm [<a href="#B15-biosensors-15-00053" class="html-bibr">15</a>]. Copyright 2020, Elsevier.</p>
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<p>The challenges of wearable plant sensors.</p>
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10 pages, 1066 KiB  
Communication
Occurrence of Pestalotiopsis sp. on Ornamental Plants Camellia japonica L. in Romanian Public Gardens
by Andreea-Mihaela Florea, Andrei-Mihai Gafencu, Florin-Daniel Lipșa, Iulian Gabur and Eugen Ulea
Horticulturae 2025, 11(1), 93; https://doi.org/10.3390/horticulturae11010093 (registering DOI) - 15 Jan 2025
Abstract
Camellias are evergreen shrubs native to the eastern and southern regions of Asia. In Romania, camellias are popular ornamental plants grown in pots. Pestalotiopsis species have a worldwide distribution and are pathogenic to a wide range of hosts. They also represent an [...] Read more.
Camellias are evergreen shrubs native to the eastern and southern regions of Asia. In Romania, camellias are popular ornamental plants grown in pots. Pestalotiopsis species have a worldwide distribution and are pathogenic to a wide range of hosts. They also represent an important group of endophytes capable of producing a variety of bioactive secondary metabolites. This paper reports the occurrence of grey blight and twig or branch dieback caused by Pestalotiopsis sp. on Camellia japonica L. grown in pots and used in the landscaping of a public garden located in Iasi city, Romania (GPS coordinates: 47°09′24.0″ N 27°35′15.6″ E). Pestalotiopsis species were identified based on morphological characteristics and Sanger sequencing. Genomic analysis of the fungal isolate coded P_CJ_24, obtained from living plants, was based on ribosomal internal transcribed spacer region amplification using the LSU primers. This first report of Pestalotiopsis species infection of ornamental plants in Romania suggests that new plant pathogens can be introduced in new environmental conditions through plant pods and their incidence increases with the widespread of plant material among gardens. Full article
(This article belongs to the Special Issue Sustainable Management of Pathogens in Horticultural Crops)
18 pages, 1018 KiB  
Article
Enhancing Clay Soil Productivity with Fresh and Aged Biochar: A Two-Year Field Study on Soil Quality and Wheat Yield
by Salih Demirkaya, Abdurrahman Ay, Coşkun Gülser and Rıdvan Kızılkaya
Sustainability 2025, 17(2), 642; https://doi.org/10.3390/su17020642 (registering DOI) - 15 Jan 2025
Abstract
Biochar application has gained attention as an effective soil amendment for improving soil quality and increasing crop productivity, particularly in clay-rich soils facing challenges such as compaction, poor drainage, and nutrient limitation. This two-year field study evaluated the effects of fresh and artificially [...] Read more.
Biochar application has gained attention as an effective soil amendment for improving soil quality and increasing crop productivity, particularly in clay-rich soils facing challenges such as compaction, poor drainage, and nutrient limitation. This two-year field study evaluated the effects of fresh and artificially aged biochar on soil chemical, physical, and biological properties and wheat (Triticum aestivum) yield. The experiment was conducted on clay soil with treatments including no biochar application as a control (CK), 5 and 10 t ha−1 fresh biochar (B5, B10) and 5 and 10 t ha−1 aged biochar (AB5, AB10). The results showed significant improvements in soil pH, soil organic carbon, cation exchange capacity, total nitrogen, and plant-available water capacity, particularly with higher doses of biochar. In both years, the effects of the treatments on the soil quality index area (SQI-area) were found to be statistically significant. The AB10 treatment increased SQI-area by 19% compared to the CK in the first year and by 33% in the second year. In the first year, the highest grain yield was obtained from the AB10 treatment, reaching 5.25 t ha−1, which was 13% higher than the CK. In the second year, the highest yield was obtained from the B10 treatment, reaching 4.09 t ha−1, which was 24% higher than the CK. Despite these positive changes, the correlation between SQI and yield was not statistically significant, suggesting that crop yield may also depend on other interacting variables. These results highlight the potential of biochar, particularly aged biochar, as a sustainable practice to improve soil health and productivity in clay soils. Full article
(This article belongs to the Section Sustainable Agriculture)
15 pages, 3723 KiB  
Review
The Renaissance of Polyamines: New Roles in Crop Yield and Quality Properties in Freshly Fruit
by Jenifer Puente-Moreno, Fernando Garrido-Auñón, María E. García-Pastor, Daniel Valero and María Serrano
Agronomy 2025, 15(1), 201; https://doi.org/10.3390/agronomy15010201 (registering DOI) - 15 Jan 2025
Abstract
Polyamines (PAs) are low-molecular-weight compounds that contain amino groups. PAs are present in a variety of organisms, including plants, animals and microorganisms. In plants, the main PAs are putrescine (PUT), spermidine (SPD) and spermine (SPM). They play crucial physiological roles in plant development, [...] Read more.
Polyamines (PAs) are low-molecular-weight compounds that contain amino groups. PAs are present in a variety of organisms, including plants, animals and microorganisms. In plants, the main PAs are putrescine (PUT), spermidine (SPD) and spermine (SPM). They play crucial physiological roles in plant development, including flowering, fruit set, growth, ripening and metabolic processes. In addition, PAs are components of the diet and have a role in health and disease. Furthermore, PAs have been demonstrated to help overcome the negative effects of adverse environmental factors of both biotic and abiotic stresses. Thus, the main objective of this review was to examine the recent literature regarding the mentioned effects of PAs apart from the impact of preharvest PAs treatments, applied at different stages of fruit development, on fresh fruit crop yield and fruit quality properties at harvest, and in their maintenance during storage, with a special emphasis on the fruit content in bioactive compounds with antioxidant activity. Moreover, this review addressed the impact of PAs on other physiological processes affecting crop yield such as flowering and fruit set. Full article
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<p>History of the most important facts in the discovery of polyamines (PAs).</p>
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<p>Detailed pathway of polyamine (PA) biosynthesis.</p>
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<p>Single- and double-sigmoid growth patterns of fruit species during on-tree growth and ripening processes. Figure drawn by the authors.</p>
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<p>Effect of preharvest treatments with putrescine (PUT) or spermidine (SPD) on sweet cherry yield (<b>A</b>), the number of fruits per tree (<b>B</b>) and fruit weight (<b>C</b>). Experiments were conducted in 2022 with nine trees per treatment. Deeper green colour in the heatmaps indicates a greater increase induced by the treatment. Original data from the authors.</p>
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<p>Changes in polyamine (PA) levels in relation to fruit growth and ripening [<a href="#B9-agronomy-15-00201" class="html-bibr">9</a>,<a href="#B50-agronomy-15-00201" class="html-bibr">50</a>]. Figure from the authors.</p>
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<p>Effect of the preharvest application of SPD on colour, expressed as the hue angle (h°), of skin (<b>A</b>) and flesh (<b>B</b>) at harvest in ‘Sanguinelli’ blood orange. The effect of the preharvest application of SPD (<b>C</b>) and PUT (<b>D</b>) on colour, expressed as hue angle (h°), in ‘Sunburst’ sweet cherry. The heatmaps show that a deeper green colour indicates higher hue angle values. Original data from the authors.</p>
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<p>Photograph of sweet cherry with cracking symptoms. Cold drop occurred on 24 May and harvest on 24 June 2024. Original figure from the authors.</p>
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13 pages, 1751 KiB  
Article
Genomic, Evolutionary, and Pathogenic Characterization of a New Polerovirus in Traditional Chinese Medicine Viola philippica
by Yuanling Chen, Gaoxiang Chen, Jiaping Yu, Yali Zhou, Shifang Fei, Haorong Chen, Jianxiang Wu and Shuai Fu
Viruses 2025, 17(1), 114; https://doi.org/10.3390/v17010114 - 15 Jan 2025
Abstract
Viola philippica, a medicinal herbaceous plant documented in the Chinese Pharmacopoeia, is a promising candidate for research into plant-derived pharmaceuticals. However, the study of newly emerging viruses that threaten the cultivation of V. philippica remains limited. In this study, V. philippica plants [...] Read more.
Viola philippica, a medicinal herbaceous plant documented in the Chinese Pharmacopoeia, is a promising candidate for research into plant-derived pharmaceuticals. However, the study of newly emerging viruses that threaten the cultivation of V. philippica remains limited. In this study, V. philippica plants exhibiting symptoms such as leaf yellowing, mottled leaves, and vein chlorosis were collected and subjected to RNA sequencing to identify potential viral pathogens. A novel polerovirus, named Viola Philippica Polerovirus (VPPV), was identified in V. philippica. VPPV possesses a linear, positive-sense, single-stranded RNA genome consisting of 5535 nucleotides (nt) and encodes seven highly overlapping open reading frames (ORFs). Two potential recombination events were identified within ORF2, ORF3a, and ORF3, providing insights into the genetic diversity and evolution history of this novel polerovirus. An infectious cDNA clone of VPPV was successfully constructed and shown to infect Nicotiana benthamiana. Using a PVX-based heterologous expression system, the VPPV P0 protein was shown to trigger a systemic hypersensitive response (HR)-like reaction in N. benthamiana, indicating that P0 functions as the main pathogenicity determinant. These findings contributed to the detection and understanding of pathogenic mechanisms and control strategies for VPPV in V. philippica. Full article
(This article belongs to the Special Issue Emerging and Reemerging Plant Viruses in a Changing World)
28 pages, 8594 KiB  
Article
Nano-Zinc Oxide Can Enhance the Tolerance of Apple Rootstock M9-T337 Seedlings to Saline Alkali Stress by Initiating a Variety of Physiological and Biochemical Pathways
by Jietao Zhai, Xulin Xian, Zhongxing Zhang and Yanxiu Wang
Plants 2025, 14(2), 233; https://doi.org/10.3390/plants14020233 - 15 Jan 2025
Abstract
Soil salinization severely restricts the growth and development of crops globally, especially in the northwest Loess Plateau, where apples constitute a pillar industry. Nanomaterials, leveraging their unique properties, can facilitate the transport of nutrients to crops, thereby enhancing plant growth and development under [...] Read more.
Soil salinization severely restricts the growth and development of crops globally, especially in the northwest Loess Plateau, where apples constitute a pillar industry. Nanomaterials, leveraging their unique properties, can facilitate the transport of nutrients to crops, thereby enhancing plant growth and development under stress conditions. To investigate the effects of nano zinc oxide (ZnO NP) on the growth and physiological characteristics of apple self-rooted rootstock M9-T337 seedlings under saline alkali stress, one-year-old M9-T337 seedlings were used as experimental materials and ZnO NPs were used as donors for pot experiment. Six treatments were set up: CK (normal growth), SA (saline alkali stress,100 mmol/L NaCl + NaHCO3), T1 (saline alkali stress + 50 mg/L ZnO NPs), T2 (saline alkali stress + 100 mg/L ZnO NPs), T3 (saline alkali stress + 150 mg/L ZnO NPs) and T4 (saline alkali stress + 200 mg/L ZnO NPs). The results were found to show that saline alkali stress could significantly inhibit the growth and development of M9-T337 seedlings, reduce photosynthetic characteristics, and cause ion accumulation to trigger osmotic regulation system, endogenous hormone and antioxidant system imbalances. However, the biomass, plant height, stem diameter, total leaf area and leaf perimeter of M9-T337 seedlings were significantly increased after ZnO NP treatment. Specifically speaking, ZnO NPs can improve the photosynthetic capacity of M9-T337 by increasing the content of photosynthetic pigment, regulating photosynthetic intensity and chlorophyll fluorescence parameters. ZnO NPs can balance the osmotic adjustment system by increasing the contents of soluble protein (SP), soluble sugar (SS), proline (Pro) and starch, and can also enhance the activities of enzymatic (SOD, POD, and CAT) and non-enzymatic antioxidant enzymes (APX, AAO, GR, and MDHAR) to enhance the scavenging ability of reactive oxygen species (H2O2, O2•−), ultimately reducing oxidative damage; ZnO NPs promoted the growth of M9-T337 seedlings under saline alkali stress by synergistically responding to auxin (IAA), gibberellin (GA3), zeatin (ZT) and abscisic acid (ABA). Additionally, the Na+/K+ ratio was reduced by upregulating the expression of Na+ transporter genes (MdCAX5, MdCHX15, MdSOS1, and MdALT1) and downregulating the expression of K+ transporter genes (MdSKOR and MdNHX4). After comprehensive analysis of principal components and correlation, T3 (150 mg/L ZnO NPs) treatment possessed the best mitigation effect. In summary, 150 mg/L ZnO NPs(T3) can effectively maintain the hormone balance, osmotic balance and ion balance of plant cells by promoting the photosynthetic capacity of M9-T337 seedlings, and enhance the antioxidant defense mechanism, thereby improving the saline alkaline tolerance of M9-T337 seedlings. Full article
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<p>Transmission electron microscopy (TEM) imaging and TEM grain size measurements of ZnO NPs. (<b>a</b>) Transmission electron microscopy (TEM) imaging of ZnO NPs; (<b>b</b>) TEM particle size of ZnO NPs.</p>
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<p>Effect of zinc oxide nanoparticles on leaves and roots of M9-T337 seedlings under saline stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) Plant phenotype; (<b>B</b>) root phenotype.</p>
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<p>Effects of ZnO NPs on the growth parameters of M9-T337 seedlings under saline alkali stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) plant height; (<b>B</b>) stem thickness; (<b>C</b>) leaf area; (<b>D</b>) leaf circumference. Vertical bars represent the standard errors of the means of three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of ZnO NPs on stomatal morphology and structure of leaves of M9-T337 seedlings under saline alkali stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs.</p>
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<p>Effect of ZnO NPs on photosynthetic pigment content of M9-T337 seedling leaves under saline stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) Chl a content; (<b>B</b>) Chl b content; (<b>C</b>) Chl a+b content; (<b>D</b>) Chl a/b content. Vertical bars represent the standard errors of the means of three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of ZnO NPs on the photosynthetic characteristics of M9-T337 seedling leaves under saline stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) <span class="html-italic">Pn</span>; (<b>B</b>) <span class="html-italic">Tr</span>; (<b>C</b>) <span class="html-italic">Gs</span>; (<b>D</b>) <span class="html-italic">Ci</span>. Vertical bars represent the standard errors of the means three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of ZnO NPs on fluorescence parameters of M9-T337 seedling leaves under saline stress. CK: Normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) F0; (<b>B</b>) Fm; (<b>C</b>) Fv/Fm; (<b>D</b>) qP. Vertical bars represent the standard errors of the means three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of ZnO NPs on leaf relative water content and water use efficiency of M9-T337 seedlings under saline alkali stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) RWC; (<b>B</b>) water use efficiency. Vertical bars represent the standard errors of the means of three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of ZnO NPs on the degree of membrane lipid oxidation in M9-T337 seedlings under saline stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) H<sub>2</sub>O<sub>2</sub>; (<b>B</b>) O<sub>2</sub><sup>•−</sup>; (<b>C</b>) MDA; (<b>D</b>) REC; (<b>E</b>) SOD; (<b>F</b>) POD; (<b>G</b>) CAT. Vertical bars represent the standard errors of the means of three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of ZnO NPs on NBT and DAB staining of M9-T337 seedling leaves under salinity stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) NBT staining; (<b>B</b>) DBA staining.</p>
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<p>Effects of ZnO NPs on the activities of glutathione-cycling-related substances and enzymes in leaves of M9-T337 seedlings under saline alkali stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) ASA; (<b>B</b>) GSH; (<b>C</b>) GSSG; (<b>D</b>) APX; (<b>E</b>) AAO; (<b>F</b>) GR; (<b>G</b>) MDHAR. Vertical bars represent the standard errors of the means three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Determination of osmoregulatory substances in leaves of M9-T337 seedlings under saline alkali stress by ZnO NPs. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) SS content; (<b>B</b>) SP content; (<b>C</b>) Pro content; (<b>D</b>) St content. Vertical bars represent the standard errors of the means of three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of ZnO NPs on the contents of endogenous hormones in leaves of M9-T337 seedlings under saline alkali stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) ZT content; (<b>B</b>) IAA content; (<b>C</b>) GA<sub>3</sub> content; (<b>D</b>) ABA content. Vertical bars represent the standard errors of the means of three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of ZnO NPs on Ca<sup>2+</sup>, Na<sup>+</sup> and K<sup>+</sup>ion contents and Na<sup>+</sup>/K<sup>+</sup> in leaves of M9-T337 seedlings under saline alkali stress. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T1: saline alkali stress +50 mg/L ZnO NPs; T2: saline alkali stress +100 mg/L ZnO NPs; T3: saline alkali stress +150 mg/L ZnO NPs; T4: saline alkali stress +200 mg/L ZnO NPs. (<b>A</b>) Ca<sup>2+</sup>; (<b>B</b>) Na<sup>+</sup>; (<b>C</b>) K<sup>+</sup>; (<b>D</b>) Na<sup>+</sup>/K<sup>+</sup>. Vertical bars represent the standard errors of the means of three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of ZnO NPs on saline alkali (NaCl + NaHCO<sub>3</sub>) response gene expression in M9-T337 seedlings. CK: normal treatment (control); SA: 100 mmol/L NaCl + NaHCO<sub>3</sub> saline alkali stress; T3: saline alkali stress +150 mg/L ZnO NPs. Vertical bars represent the standard errors of the means of three replicates. Data show the mean ± SE (n = 3). Different lowercase letters indicate significant differences between treatments with <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Correlation analysis, principal component analysis and cluster analysis of the indices of M9-T337 seedlings under different treatments, different symbols represent significant differences between treatments (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01). (<b>A</b>) Correlation analysis chart, (<b>B</b>) principal component analysis chart, and (<b>C</b>) cluster analysis chart.</p>
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27 pages, 1824 KiB  
Article
Unveiling the Phytochemical Diversity and Bioactivity of Astragalus melanophrurius: A First Report Integrating Experimental and In Silico Approaches
by Gulcan Gencer, Cengiz Sarikurkcu and Bektas Tepe
Pharmaceuticals 2025, 18(1), 103; https://doi.org/10.3390/ph18010103 - 15 Jan 2025
Abstract
Background: The genus Astragalus is renowned for its diverse bioactive potential, yet the chemical composition and biological properties of Astragalus melanophrurius remain inadequately explored. This study aimed to investigate the chemical profile, antioxidant capacity, and enzyme inhibitory activities of methanol extracts from various [...] Read more.
Background: The genus Astragalus is renowned for its diverse bioactive potential, yet the chemical composition and biological properties of Astragalus melanophrurius remain inadequately explored. This study aimed to investigate the chemical profile, antioxidant capacity, and enzyme inhibitory activities of methanol extracts from various plant parts of A. melanophrurius. Methods: Methanol extracts were obtained from leaves, stems, flowers, roots, and aerial portions of A. melanophrurius. The chemical composition was determined using LC–ESI–MS/MS, focusing on key phytochemicals such as hyperoside, kaempferol, 4-hydroxybenzoic acid, and chlorogenic acid. Antioxidant activities were assessed via DPPH, ABTS, and FRAP assays, while enzyme inhibitory activities were evaluated against α-amylase and tyrosinase. In silico molecular docking analyses were conducted to explore the interactions between major compounds and target enzymes. Results: The leaf extract exhibited the highest total phenolic and flavonoid contents, correlating with superior antioxidant activities, achieving IC50 values of 16.55 mg/mL, 4.58 mg/mL, and 3.07 mg/mL in DPPH, ABTS, and FRAP assays, respectively. The root extract demonstrated notable α-amylase (IC50 = 2.99 mg/mL) and tyrosinase (IC50 = 1.34 mg/mL) inhibitory activities, suggesting potential applications in diabetes and hyperpigmentation management. Molecular docking revealed stable complexes of hyperoside and kaempferol with target enzymes, supporting their roles in observed bioactivities. Conclusions: This study highlights the bioactivity of A. melanophrurius extracts, particularly from leaves and roots, supporting their therapeutic potential. Future research should focus on isolating active compounds and conducting in vivo studies to confirm efficacy and elucidate mechanisms of action. Full article
(This article belongs to the Section Natural Products)
18 pages, 4946 KiB  
Article
Identifying a Biocontrol Bacterium with Disease-Prevention Potential and Employing It as a Powerful Biocontrol Agent Against Fusarium oxysporum
by Qi Wang, Zhenshu Sun, Tiantian Li, Tiantian Fan, Ziqi Zhou, Jiayin Liu, Xiuling Chen and Aoxue Wang
Int. J. Mol. Sci. 2025, 26(2), 700; https://doi.org/10.3390/ijms26020700 - 15 Jan 2025
Abstract
Biocontrol microbes are environment friendly and safe for humans and animals. To seek biocontrol microbes effective in suppressing Fusarium oxysporum is important for tomato production. F. oxysporum is a soil-borne pathogen capable of causing wilt in numerous plant species. Therefore, we found a [...] Read more.
Biocontrol microbes are environment friendly and safe for humans and animals. To seek biocontrol microbes effective in suppressing Fusarium oxysporum is important for tomato production. F. oxysporum is a soil-borne pathogen capable of causing wilt in numerous plant species. Therefore, we found a biocontrol bacterium with an excellent control effect from the rhizosphere soil of plant roots. In this work, we focus on two parts of work. The first part is the identification and genomic analysis of the biocontrol bacterium Y-4; the second part is the control efficiency of strain Y-4 on F. oxysporum. For this study, we identified strain Y-4 as Bacillus velezensis. It is an aerobic Gram-positive bacterium that can secrete a variety of extracellular enzymes and siderophores. Strain Y-4 also contains a large number of disease-resistant genes and a gene cluster that forms antibacterial substances. In addition, we found that it significantly inhibited the reproduction of F. oxysporum in a culture dish. In the indoor control effect test, after treatment with strain Y-4 suspension, the disease index of tomato plants decreased significantly. Furthermore, the control efficiency of the plants was 71.88%. At the same time, Y-4 bacterial suspension induced an increase in POD and SOD enzyme activities in tomato leaves, resulting in increased plant resistance. Taken together, strain Y-4 proves to be an effective means of controlling F. oxysporum in tomatoes. Full article
(This article belongs to the Section Molecular Microbiology)
22 pages, 6292 KiB  
Review
Review of Bioinspired Composites for Thermal Energy Storage: Preparation, Microstructures and Properties
by Min Yu, Mengyuan Wang, Changhao Xu, Wei Zhong, Haoqi Wu, Peng Lei, Zeya Huang, Renli Fu, Francesco Gucci and Dou Zhang
J. Compos. Sci. 2025, 9(1), 41; https://doi.org/10.3390/jcs9010041 - 15 Jan 2025
Abstract
Bioinspired composites for thermal energy storage have gained much attention all over the world. Bioinspired structures have several advantages as the skeleton for preparing thermal energy storage materials, including preventing leakage and improving thermal conductivity. Phase change materials (PCMs) play an important role [...] Read more.
Bioinspired composites for thermal energy storage have gained much attention all over the world. Bioinspired structures have several advantages as the skeleton for preparing thermal energy storage materials, including preventing leakage and improving thermal conductivity. Phase change materials (PCMs) play an important role in the development of energy storage materials because of their stable chemical/thermal properties and high latent heat storage capacity. However, their applications have been compromised, owing to low thermal conductivity and leakage. The plant-derived scaffolds (i.e., wood-derived SiC/Carbon) in the composites can not only provide higher thermal conductivity but also prevent leakage. In this paper, we review recent progress in the preparation, microstructures, properties and applications of bioinspired composites for thermal energy storage. Two methods are generally used for producing bioinspired composites, including the direct introduction of biomass-derived templates and the imitation of biological structures templates. Some of the key technologies for introducing PCMs into templates involves melting, vacuum impregnation, physical mixing, etc. Continuous and orderly channels inside the skeleton can improve the overall thermal conductivity, and the thermal conductivity of composites with biomass-derived, porous, silicon carbide skeleton can reach as high as 116 W/m*K. In addition, the tightly aligned microporous structure can cover the PCM well, resulting in good leakage resistance after up to 2500 hot and cold cycles. Currently, bioinspired composites for thermal energy storage hold the greatest promise for large-scale applications in the fields of building energy conservation and solar energy conversion/storage. This review provides guidance on the preparation methods, performance improvements and applications for the future research strategies of bioinspired composites for thermal energy storage. Full article
(This article belongs to the Section Composites Manufacturing and Processing)
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Figure 1
<p>Summary of wood-derived carbides (<b>a</b>) and SEM images of microstructure of natural materials: (<b>b</b>) quercus laevis, (<b>c</b>) sugarcane, (<b>d</b>) sycamore fruit fiber and (<b>e</b>) grapefruit peel (adapted from Refs. [<a href="#B37-jcs-09-00041" class="html-bibr">37</a>,<a href="#B44-jcs-09-00041" class="html-bibr">44</a>]).</p>
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<p>Bioinspired templates and microstructures for thermal energy storage composites.</p>
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<p>Simplified flow chart of processing bioinspired composites for thermal energy storage.</p>
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<p>Summary of the impregnation methods for preparing bioinsipired ceramics/ceramic matrix composites in our research group: (<b>a</b>) polymer precursor impregnation, (<b>b</b>) sol-gel impregnation method, (<b>c</b>) slurry impregnation method, (<b>d</b>) physical vapor phase impregnation method (flowchart of material preparation inserted in <a href="#jcs-09-00041-f004" class="html-fig">Figure 4</a> adapted from references [<a href="#B41-jcs-09-00041" class="html-bibr">41</a>,<a href="#B44-jcs-09-00041" class="html-bibr">44</a>,<a href="#B45-jcs-09-00041" class="html-bibr">45</a>]).</p>
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<p>Processing of skeleton materials for bioinspired thermal energy storage composites.</p>
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<p>Processing of bioinspired composites for thermal energy storage.</p>
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<p>Working temperature diagram of bioinspired composites for thermal energy storage. (Inserted SEM images in <a href="#jcs-09-00041-f007" class="html-fig">Figure 7</a> are adapted from [<a href="#B33-jcs-09-00041" class="html-bibr">33</a>,<a href="#B57-jcs-09-00041" class="html-bibr">57</a>,<a href="#B59-jcs-09-00041" class="html-bibr">59</a>,<a href="#B62-jcs-09-00041" class="html-bibr">62</a>,<a href="#B63-jcs-09-00041" class="html-bibr">63</a>,<a href="#B69-jcs-09-00041" class="html-bibr">69</a>,<a href="#B70-jcs-09-00041" class="html-bibr">70</a>,<a href="#B74-jcs-09-00041" class="html-bibr">74</a>,<a href="#B77-jcs-09-00041" class="html-bibr">77</a>]).</p>
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<p>Heat transfer mechanism of bioinspired composites.</p>
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<p>Heat storage performance diagram of bioinspired composites for thermal energy storage: (<b>a</b>) Summary of heat storage properties of (bioinspired inorganic skeleton-inorganic PCMs) [<a href="#B55-jcs-09-00041" class="html-bibr">55</a>,<a href="#B56-jcs-09-00041" class="html-bibr">56</a>,<a href="#B57-jcs-09-00041" class="html-bibr">57</a>,<a href="#B67-jcs-09-00041" class="html-bibr">67</a>]. (<b>b</b>) Summary of heat storage properties of (bioinspired inorganic skeleton-organic PCMs) [<a href="#B29-jcs-09-00041" class="html-bibr">29</a>,<a href="#B32-jcs-09-00041" class="html-bibr">32</a>,<a href="#B33-jcs-09-00041" class="html-bibr">33</a>,<a href="#B34-jcs-09-00041" class="html-bibr">34</a>,<a href="#B60-jcs-09-00041" class="html-bibr">60</a>,<a href="#B61-jcs-09-00041" class="html-bibr">61</a>,<a href="#B63-jcs-09-00041" class="html-bibr">63</a>,<a href="#B70-jcs-09-00041" class="html-bibr">70</a>,<a href="#B72-jcs-09-00041" class="html-bibr">72</a>,<a href="#B73-jcs-09-00041" class="html-bibr">73</a>,<a href="#B76-jcs-09-00041" class="html-bibr">76</a>,<a href="#B77-jcs-09-00041" class="html-bibr">77</a>].</p>
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<p>Bioinspired composites for thermal energy storage application system diagram.</p>
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14 pages, 2125 KiB  
Article
Seasonal and Spatial Variation in the Diet of Gambusia holbrooki in Different Water Bodies of Karaburun Peninsula (Western Türkiye)
by Gülşah Saç, Sevan Ağdamar, Ümit Acar and Daniela Giannetto
Diversity 2025, 17(1), 51; https://doi.org/10.3390/d17010051 - 15 Jan 2025
Abstract
The Eastern mosquitofish Gambusia holbrooki Girard, 1859, has been widely introduced into tropical and temperate countries as a biological agent to control mosquitos, which are associated with diseases such as malaria and yellow fever. However, the species exhibits invasive characteristics by competing with [...] Read more.
The Eastern mosquitofish Gambusia holbrooki Girard, 1859, has been widely introduced into tropical and temperate countries as a biological agent to control mosquitos, which are associated with diseases such as malaria and yellow fever. However, the species exhibits invasive characteristics by competing with native species for food and habitat use. This study investigates the feeding ecology of G. holbrooki populations from three distinct freshwater environments (Lake Iris, Eğlenhoca Reservoir, and Parlak Reservoir) on the Karaburun Peninsula (North-Western Türkiye), a region outside its native range. The primary aim was to evaluate seasonal and spatial variations in the diet of the species. A total of 871 specimens were analysed: 247 from Iris Lake, 318 from Parlak Reservoir, and 306 from Eğlenhoca Reservoir. Low percentages of empty stomachs (≤20%) across all populations indicate high feeding intensity. The results reveal that G. holbrooki exhibits a generalist feeding strategy, consuming a wide range of food items such as insects, zooplankton, and plant material across all the investigated environments. The relative importance of food groups (determined by the Importance Index, MI%) varied seasonally but not spatially. In all three populations, the most important food source in the spring was dipterans, followed by plants in the summer and fall, and cladocerans in the winter. Plants accounted for the largest percentage of the diet in every population (MI% >65%). These findings suggest that G. holbrooki adapts its diet to seasonal food availability. Full article
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Figure 1
<p>The map of the study area with the sites for <span class="html-italic">Gambusia holbrooki</span> specimens captured. The red rectangle indicate the position of the study area within Türkiye. The map was created using the QGIS 3.16 software available from <a href="http://qgis.org" target="_blank">http://qgis.org</a> (accessed on 12 October 2024).</p>
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<p>(<b>a</b>) F% and (<b>b</b>) MI% values of the three dominant food types in the diet of <span class="html-italic">Gambusia holbrooki</span> populations in water bodies on Karaburun Peninsula, Türkiye.</p>
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<p>Modified Costello feeding strategy diagrams for three <span class="html-italic">Gambusia holbrooki</span> populations: (<b>a</b>) Lake Iris, (<b>b</b>) Parlak Reservoir, and (<b>c</b>) Eğlenhoca Reservoir. Prey-specific abundance (P<sub>i</sub>%) plotted against frequency of occurrence (F<sub>i</sub>%) of the food items in the diet of each population.</p>
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18 pages, 2263 KiB  
Article
Unveiling the Role of GhP5CS1 in Cotton Salt Stress Tolerance: A Comprehensive Genomic and Functional Analysis of P5CS Genes
by Hui Fang, Xin Gao, Yunhao Wu, Ke Zhang, Ying Wu, Junyi Li, Dongmei Qian, Ruochen Li, Haijing Gu, Teame Gereziher Mehari, Xinlian Shen and Baohua Wang
Plants 2025, 14(2), 231; https://doi.org/10.3390/plants14020231 - 15 Jan 2025
Abstract
Proline, a critical osmoregulatory compound, is integral to various plant stress responses. The P5CS gene, which encodes the rate-limiting enzyme in proline biosynthesis, known as ∆1-pyrroline-5-carboxylate synthetase, is fundamental to these stress response pathways. While the functions of P5CS genes in plants have [...] Read more.
Proline, a critical osmoregulatory compound, is integral to various plant stress responses. The P5CS gene, which encodes the rate-limiting enzyme in proline biosynthesis, known as ∆1-pyrroline-5-carboxylate synthetase, is fundamental to these stress response pathways. While the functions of P5CS genes in plants have been extensively documented, their specific roles in cotton remain inadequately characterized. In this study, we identified 40 P5CS genes across four cotton species with diverse sequence lengths and molecular weights. Phylogenetic analysis of 100 P5CS genes from nine species revealed three subgroups, with Gossypium hirsutum closely related to Gossypium barbadense. Collinearity analysis highlighted significant differences in collinear gene pairs, indicating evolutionary divergence among P5CS genes in tetraploid and diploid cotton. Exon–intron structures and conserved motifs correlated with phylogenetic relationships, suggesting functional differentiation. Stress-responsive elements in P5CS promoters suggest involvement in abiotic stress. Expression analysis under salt stress revealed differential expressions of GhP5CS genes, with GhP5CS1 emerging as a potential key regulator. Virus-induced gene silencing confirmed the pivotal role of GhP5CS1 in cotton’s salt stress response, as evidenced by increased salt sensitivity in the silenced plants. This study enhances our understanding of the functional diversity and roles of P5CS genes in cotton under stress conditions. Full article
(This article belongs to the Special Issue Plant Fruit Development and Abiotic Stress)
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Figure 1
<p>Phylogenetic analysis of <span class="html-italic">P5CS</span> genes across nine species. The depicted phylogenetic tree includes representatives from six dicotyledonous species (<span class="html-italic">G. hirsutum</span>, <span class="html-italic">G. barbadense</span>, <span class="html-italic">G. raimondii</span>, <span class="html-italic">G. arboretum</span>, <span class="html-italic">A. thaliana</span>, and <span class="html-italic">T. cacao</span>) and three monocots (<span class="html-italic">O. sativa</span>, <span class="html-italic">Z. mays</span>, and <span class="html-italic">S. bicolor</span>). The tree was constructed using MEGA 7.0 software with the maximum likelihood (ML) method. It is clustered into three distinct subgroups, each highlighted by a unique background color. <span class="html-italic">GhP5CS</span> genes are indicated with purple asterisks.</p>
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<p>Collinearity of <span class="html-italic">P5CS</span> genes between <span class="html-italic">G. hirsutum</span> and three other cotton species: <span class="html-italic">G. barbadense</span>, <span class="html-italic">G. raimondii</span>, and <span class="html-italic">G. arboretum</span>. (<b>A</b>) Collinearity analysis of <span class="html-italic">P5CS</span> genes between <span class="html-italic">G. hirsutum</span> and <span class="html-italic">G. barbadense</span>. (<b>B</b>) Collinearity analysis of <span class="html-italic">P5CS</span> genes between <span class="html-italic">G. hirsutum</span> and <span class="html-italic">G. raimondii</span>. (<b>C</b>) Collinearity analysis of <span class="html-italic">P5CS</span> genes between <span class="html-italic">G. hirsutum</span> and <span class="html-italic">G. arboretum</span>. The gray lines in the background delineate genome-wide collinear blocks, while the red and blue lines specifically denote the collinearity of <span class="html-italic">P5CS</span> genes, revealing evolutionary relationships and genomic conservation among these species.</p>
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<p>Gene structure and conserved motifs of <span class="html-italic">P5CS</span> genes across four cotton species. (<b>A</b>) Phylogenetic tree of the 40 <span class="html-italic">P5CS</span> genes identified within the four cotton species (<b>B</b>) Schematic representation of the exon–intron structure of <span class="html-italic">P5CS</span> genes. (<b>C</b>) Analysis of conserved motifs within P5CS proteins, with 10 motifs identified across the 40 P5CS proteins, each represented by a distinct color. The length of each motif is proportional to its frequency within the proteins.</p>
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<p>qRT-PCR analysis of the expression of eight <span class="html-italic">GhP5CS</span> genes, <span class="html-italic">GhP5CS1</span> to <span class="html-italic">GhP5CS8</span> (<b>A</b>–<b>H</b>), respectively, in cotton leaves under salt stress conditions. Data are represented as mean ± standard error (SE) from three biological replicates. The symbols ** indicate significant differences at <span class="html-italic">p</span> &lt; 0.01, while ‘ns’ means not significant. Statistical analysis was performed using Student’s <span class="html-italic">t</span>-test to compare the relative expression of <span class="html-italic">GhP5CS</span> genes between salt-stressed and control groups.</p>
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<p>qRT-PCR analysis of the expression of eight <span class="html-italic">GhP5CS</span> genes, <span class="html-italic">GhP5CS1</span> to <span class="html-italic">GhP5CS8</span> (<b>A</b>–<b>H</b>), respectively, in cotton roots under salt stress conditions. Data are represented as mean ± standard error (SE) from three biological replicates. The symbols ** indicate significant differences at <span class="html-italic">p</span> &lt; 0.01 and symbols **** indicate significant differences at <span class="html-italic">p</span> &lt; 0.0001, respectively, while ‘ns’ means not significant. Statistical analysis was performed using Student’s <span class="html-italic">t</span>-test to compare the relative expression of <span class="html-italic">GhP5CS</span> genes between salt-stressed and control groups.</p>
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<p>Functional validation of <span class="html-italic">GhP5CS1</span> under salt stress using VIGS. (<b>A</b>) The albino phenotype observed in newly emerged true leaves of the pTRV2::<span class="html-italic">CLA1</span> plants two weeks post-injection. (<b>B</b>) Relative expression levels of <span class="html-italic">GhP5CS1</span> in pTRV2::<span class="html-italic">00</span> and pTRV2::<span class="html-italic">GhP5CS1</span> plants, sampled before salt treatment. (<b>C</b>) Appearance of pTRV2::<span class="html-italic">00</span> and pTRV2::<span class="html-italic">GhP5CS1</span> plants before salt stress treatment. (<b>D</b>) Significant differences in leaf size between pTRV2::<span class="html-italic">00</span> and pTRV2::<span class="html-italic">GhP5CS1</span> plants after salt treatment for ten days. (<b>E</b>) DAB staining of leaves from pTRV2::<span class="html-italic">00</span> and pTRV2::<span class="html-italic">GhP5CS1</span> plants after one week of salt treatment. (<b>F</b>) The fresh weight of shoots from pTRV2::<span class="html-italic">00</span> and pTRV2::<span class="html-italic">GhP5CS1</span> plants after two weeks of salt treatment. (<b>G</b>) The fresh weight of roots from pTRV2::<span class="html-italic">00</span> and pTRV2::<span class="html-italic">GhP5CS1</span> plants after two weeks of salt treatment. (<b>H</b>) Proline content in leaves of pTRV2::<span class="html-italic">00</span> and pTRV2::<span class="html-italic">GhP5CS1</span> plants under control and salt conditions after three weeks of salt treatment. The symbols * and ** indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01, respectively. Student’s <span class="html-italic">t</span>-test was used to analyze the differences in the relative expression of <span class="html-italic">GhP5CS1</span> gene between pTRV2::<span class="html-italic">00</span> and pTRV2::<span class="html-italic">GhP5CS1</span> plants under salt treatment and control conditions.</p>
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