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38 pages, 2307 KiB  
Review
Control of HSV-1 Infection: Directions for the Development of CRISPR/Cas-Based Therapeutics and Diagnostics
by Anastasiia O. Sosnovtseva, Natalia A. Demidova, Regina R. Klimova, Maxim A. Kovalev, Alla A. Kushch, Elizaveta S. Starodubova, Anastasia A. Latanova and Dmitry S. Karpov
Int. J. Mol. Sci. 2024, 25(22), 12346; https://doi.org/10.3390/ijms252212346 (registering DOI) - 17 Nov 2024
Abstract
It is estimated that nearly all individuals have been infected with herpesviruses, with herpes simplex virus type 1 (HSV-1) representing the most prevalent virus. In most cases, HSV-1 causes non-life-threatening skin damage in adults. However, in patients with compromised immune systems, it can [...] Read more.
It is estimated that nearly all individuals have been infected with herpesviruses, with herpes simplex virus type 1 (HSV-1) representing the most prevalent virus. In most cases, HSV-1 causes non-life-threatening skin damage in adults. However, in patients with compromised immune systems, it can cause serious diseases, including death. The situation is further complicated by the emergence of strains that are resistant to both traditional and novel antiviral drugs. It is, therefore, imperative that new methods of combating HSV-1 and other herpesviruses be developed without delay. CRISPR/Cas systems may prove an effective means of controlling herpesvirus infections. This review presents the current understanding of the underlying molecular mechanisms of HSV-1 infection and discusses four potential applications of CRISPR/Cas systems in the fight against HSV-1 infections. These include the search for viral and cellular genes that may serve as effective targets, the optimization of anti-HSV-1 activity of CRISPR/Cas systems in vivo, the development of CRISPR/Cas-based HSV-1 diagnostics, and the validation of HSV-1 drug resistance mutations. Full article
(This article belongs to the Special Issue CRISPR-Cas Systems and Genome Editing—2nd Edition)
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Graphical abstract

Graphical abstract
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<p>The schematic structure of the HSV-1 particle with targets of the CRISPR/Cas system. The genome of HSV-1 is represented by double-stranded DNA, which is packaged into an icosahedral capsid. The primary structural protein of the capsid is VP5 (UL19), which forms hexon (on the facets) and penton (on the angles) complexes. The tegument, a protein shell located on the exterior of the capsid, contains several viral proteins, including VP16, ICP0, US3, VHS, and others. The outermost side of the virion is the envelope, which is a membrane that contains embedded glycoproteins, including gI, gE, gB, gD, gH, and gL. The red target symbols indicate viral proteins whose genes are the intended targets of CRISPR/Cas-based therapies. Abbreviations: g (in gI, gE, gB, gD, gH, gL)—glycoprotein; US3—unique short region 3; VHS—virion host shutoff; UL (in UL8, UL38, UL19, UL37, UL36)—unique long (region); VP (in VP5, VP26, VP16)—viral protein; ICP0—infected cell protein 0.</p>
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<p>The general scheme of the HSV-1 life cycle with targets of the CRISPR/Cas system. Infection commences with the interaction of HSV-1 envelope glycoproteins with receptors on the cell membrane. These include gD with 3-OS HS (synthesized by PAPSS1), HVEM, and nectin-1,2; gH/gL with integrins; and gB with NMHC-IIA, MAG, and PILRA. Subsequently, the virus gains entry into the cell, with the viral genome and the VP16 protein moving into the nucleus. In the event that VP16 levels are insufficient, the genome may be inactivated, resulting in a latent infection. Conversely, reactivation may occur as a consequence of stress, ultraviolet radiation, JNK activation, and inhibition of the NGF, PI3K, and HDAC pathways, leading to a lytic infection. Subsequently, VP16 activates the IE genes, which in turn induce the expression of the E (essential for genome replication) and L (necessary for genome transcription and synthesis of capsid and tegument proteins) genes. Subsequently, the capsids are assembled and subsequently exit the nucleus. The assembly of viral particles is completed in the cytoplasm and the trans-Golgi network, after which the particles leave the cell. Red target symbols indicate viral proteins whose genes are targets of CRISPR/Cas-based therapy, while blue target symbols represent analogous host cell proteins. The arrows show the successive stages of the virus life cycle. Abbreviations: g (in gB, gD, gH, gL)—glycoprotein; 3-OS HS—3-O-sulfated heparan sulfate; PAPSS1—3-phosphoadenosine 5′-phosphosulfate synthetase 1; NMHC-IIA—non-muscle myosin heavy chain IIA; MAG—myelin-associated glycoprotein; PILRA—Paired immunoglobulin-like type 2 receptor α; HVEM—herpesvirus entry mediator; VP16—viral protein 16; IE (genes)—immediately early; E (genes)—early; L (genes)—late; UV—ultraviolet; JNK—c-Jun N-terminal kinase; NGF—nerve growth factor; PI3K—phosphoinositide 3-kinases; HDAC—histone deacetylase.</p>
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16 pages, 2037 KiB  
Article
Modulation of the Gut–Lung Axis by Water Kefir and Kefiran and Their Impact on Toll-like Receptor 3-Mediated Respiratory Immunity
by Stefania Dentice Maidana, Julio Nicolás Argañaraz Aybar, Leonardo Albarracin, Yoshiya Imamura, Luciano Arellano-Arriagada, Fu Namai, Yoshihito Suda, Keita Nishiyama, Julio Villena and Haruki Kitazawa
Biomolecules 2024, 14(11), 1457; https://doi.org/10.3390/biom14111457 (registering DOI) - 17 Nov 2024
Abstract
The beneficial effect of milk kefir on respiratory heath has been previously demonstrated; however, water kefir and kefiran in the context of respiratory viral infections have not been investigated. Water kefir and kefiran could be alternatives to milk kefir for their application in [...] Read more.
The beneficial effect of milk kefir on respiratory heath has been previously demonstrated; however, water kefir and kefiran in the context of respiratory viral infections have not been investigated. Water kefir and kefiran could be alternatives to milk kefir for their application in persons with lactose intolerance or milk allergy and could be incorporated into vegan diets. Using mice models, this work demonstrated that the oral administration of water kefir or kefiran can modulate the respiratory Toll-like receptor (TLR3)-mediated innate antiviral immunity and improve the resistance to respiratory syncytial virus (RSV) infection. The treatment of mice with water kefir or kefiran for 6 days improved the production of interferons (IFN-β and IFN-γ) and antiviral factors (Mx2, OAS1, RNAseL, and IFITM3) in the respiratory tract after the activation of the TLR3 signaling pathway, differentially modulated the balance of pro- and anti-inflammatory cytokines, reduced RSV replication, and diminished lung tissue damage. Maintaining a proper balance between anti-inflammatory and pro-inflammatory mediators is vital for ensuring an effective and safe antiviral immune response, and the results of this work show that water kefir and kefiran would help to maintain that balance promoting a controlled inflammatory response that defends against infection while minimizing tissue damage. Full article
(This article belongs to the Section Natural and Bio-derived Molecules)
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<p>Effect of water kefir and kefiran on TLR3-mediated lung damage. Mice were fed water kefir or kefiran for 6 days and stimulated on days 7, 8, and 9 with the TLR3 agonist poly(I:C) by the nasal route. Mice without water kefir or kefiran treatment and stimulated with poly(I:C) were used as control. The concentrations of broncho-alveolar lavage (BAL) proteins and albumin, the activity of BAL lactate dehydrogenase (LDH), and lung histology were determined 2 days after TLR3 activation. Hematoxylin–eosin stain of histological slices of lung micrographs at 10× are shown. The results are expressed as mean ± SD. Significant differences were shown compared to the poly(I:C)-treated control group at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Effect of water kefir and kefiran on TLR3-mediated lung inflammatory cells infiltration. Mice were fed water kefir or kefiran for 6 days and stimulated on days 7, 8 and 9 with the TLR3 agonist poly(I:C) by the nasal route. Mice without water kefir or kefiran treatment and stimulated with poly(I:C) were used as control. The numbers of broncho-alveolar lavage (BAL) leukocytes, macrophages, neutrophils, and lymphocytes were determined 2 days after TLR3 activation. The results are expressed as mean ± SD. Significant differences were shown compared to the poly(I:C)-treated control group at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Effect of water kefir and kefiran on TLR3-mediated lung cytokine response. Mice were fed water kefir or kefiran for 6 days and stimulated on days 7, 8, and 9 with the TLR3 agonist poly(I:C) by the nasal route. Mice without water kefir or kefiran treatment and stimulated with poly(I:C) were used as control. The concentrations of broncho-alveolar lavage (BAL) TNF-α, IL-6, KC, MCP-1, IFN-β, IFN-γ, IL-10, and IL-27 were determined 2 days after TLR3 activation. The results are expressed as mean ± SD. Significant differences were shown compared to the poly(I:C)-treated control group at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Effect of water kefir and kefiran on TLR3-mediated alveolar macrophages antiviral factors response. Mice were fed water kefir or kefiran for 6 days; on day 7, alveolar macrophages were collected and stimulated in vitro with the TLR3 agonist poly(I:C). Alveolar macrophages obtained from mice without water kefir or kefiran treatment and stimulated in vitro with poly(I:C) were used as control. The expressions of IFN-β, IFN-γ, Mx2, OAS1, RNAseL, and IFITM3 were determined 12 h after TLR3 activation. The results are expressed as mean ± SD. Significant differences were shown compared to the poly(I:C)-treated control alveolar macrophages at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Effect of water kefir and kefiran on the resistance to RSV infection. Mice were fed water kefir or kefiran for 6 days and challenged on day 7 with RSV by the nasal route. Mice without water kefir or kefiran treatment and infected with RSV were used as control. The RSV lung titers, the concentrations of broncho-alveolar lavage (BAL) proteins and albumin, and the activity of BAL lactate dehydrogenase (LDH) were determined 2 days after RSV challenge. The results are expressed as mean ± SD. Significant differences were shown compared to the RSV-infected control group at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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15 pages, 1387 KiB  
Article
Efficacy of Feed Additives on Immune Modulation and Disease Resistance in Tilapia in Coinfection Model with Tilapia Lake Virus and Aeromonas hydrophila
by Aslah Mohamad, Jidapa Yamkasem, Suwimon Paimeeka, Matepiya Khemthong, Tuchakorn Lertwanakarn, Piyathip Setthawong, Waldo G. Nuez-Ortin, Maria Mercè Isern Subich and Win Surachetpong
Biology 2024, 13(11), 938; https://doi.org/10.3390/biology13110938 (registering DOI) - 16 Nov 2024
Viewed by 201
Abstract
Coinfections by multiple pathogens, including viruses and bacteria, have severely impacted tilapia aquaculture globally. This study evaluated the impacts of dietary supplementation on red hybrid tilapia (Oreochromis spp.) coinfected with Tilapia lake virus (TiLV) and Aeromonas hydrophila. Fish were divided into [...] Read more.
Coinfections by multiple pathogens, including viruses and bacteria, have severely impacted tilapia aquaculture globally. This study evaluated the impacts of dietary supplementation on red hybrid tilapia (Oreochromis spp.) coinfected with Tilapia lake virus (TiLV) and Aeromonas hydrophila. Fish were divided into three groups: a control group on a normal diet, and two experimental groups received diets supplemented with strategy A, an organic acid blend combined with a lyso-phospholipid-based digestive enhancer, and strategy B, an organic acid blend combined with natural immunostimulants and nutrients. Following exposure to both pathogens, the fish supplemented with strategies A and B showed lower cumulative mortality rates of 50.0% and 41.7%, respectively, compared to 76.3% in the control group. Notably, fish fed with strategy B-supplemented diet displayed a stronger immune response, with a lower expression of il-8, mx, and rsad2, and showed less pathological changes in the liver, spleen, and intestines, suggesting enhanced resistance to coinfection. In contrast, fish receiving strategy A did not exhibit significant changes in the immune-related gene expression or pathogen load, but demonstrate less pathological alterations, indicating intestinal protection. These findings highlight the potential of feed additives, particularly strategy B, to reduce the impact of virus-bacterial coinfections and improve outcomes in tilapia farming. Full article
20 pages, 4128 KiB  
Article
Impact of Cassava Cultivars on Stylet Penetration Behavior and Settling of Bemisia tabaci Gennadius (Hemiptera: Aleyrodidae)
by Sudarat Pimkornburee, Supawadee Pombud, Kumri Buensanteai, Weravart Namanusart, Sukanya Aiamla-or and Jariya Roddee
Plants 2024, 13(22), 3218; https://doi.org/10.3390/plants13223218 (registering DOI) - 15 Nov 2024
Viewed by 272
Abstract
This study investigates the settling preferences and feeding behavior of the Bemisia tabaci whitefly on six cassava cultivars using electrical penetration graph techniques. Six distinct electrical penetration graph waveforms—non-probing, stylet pathway, phloem salivation, phloem ingestion, intracellular puncture, and xylem feeding—were identified and analyzed. [...] Read more.
This study investigates the settling preferences and feeding behavior of the Bemisia tabaci whitefly on six cassava cultivars using electrical penetration graph techniques. Six distinct electrical penetration graph waveforms—non-probing, stylet pathway, phloem salivation, phloem ingestion, intracellular puncture, and xylem feeding—were identified and analyzed. Significant differences in the frequency and duration of these waveforms were observed among the cassava cultivars. The whiteflies spent the majority of their time in the non-probing phase, particularly on the Huaybong 80, Kasetsart 50, Rayong 9, and Rayong 72 cultivars. CMR-89 cultivar exhibited higher total probe durations in the phloem salivation and ingestion waveforms, suggesting a greater potential for transmission of the Sri Lankan cassava mosaic virus. The study also examined trichome density and size across the cassava cultivars, revealing that CMR-89 had the highest density and small trichomes, while Huaybong 80 had the lowest density. Trichome characteristics significantly impacted whitefly behavior: larger trichomes were negatively correlated with whitefly settling, whereas higher trichome density was positively correlated with longer settling durations. These findings indicate that trichome-based resistance mechanisms are crucial in whitefly deterrence. Overall, the results suggest that cultivars with lower trichome density and larger trichomes are more resistant to whitefly infestation and subsequent Sri Lankan cassava mosaic virus transmission. These insights are valuable for cassava breeding programs focused on enhancing pest resistance, highlighting the importance of trichome characteristics in developing more resilient cassava varieties. Full article
(This article belongs to the Special Issue Plant–Insect Interactions—2nd edition)
12 pages, 7492 KiB  
Article
Porcine Airway Organoid-Derived Well-Differentiated Epithelial Cultures as a Tool for the Characterization of Swine Influenza a Virus Strains
by Nora M. Gerhards, Manouk Vrieling, Romy Dresken, Sophie Nguyen-van Oort, Luca Bordes, Jerry M. Wells and Rik L. de Swart
Viruses 2024, 16(11), 1777; https://doi.org/10.3390/v16111777 - 15 Nov 2024
Viewed by 261
Abstract
Swine influenza A viruses (IAVsw) are important causes of disease in pigs but also constitute a public health risk. IAVsw strains show remarkable differences in pathogenicity. We aimed to generate airway organoids from the porcine lower respiratory tract and use these to establish [...] Read more.
Swine influenza A viruses (IAVsw) are important causes of disease in pigs but also constitute a public health risk. IAVsw strains show remarkable differences in pathogenicity. We aimed to generate airway organoids from the porcine lower respiratory tract and use these to establish well-differentiated airway epithelial cell (WD-AEC) cultures grown at an air–liquid interface (ALI) for in vitro screening of IAVsw strain virulence. Epithelial cells were isolated from bronchus tissue of juvenile pigs, and airway organoids were cultured in an extracellular matrix in a culture medium containing human growth factors. Single-cell suspensions of these 3D organoids were seeded on Transwell filters and differentiated at ALI to form a pseudostratified epithelium containing ciliated cells, mucus-producing cells and tight junctions. Inoculation with a low dose of IAVsw in a low volume inoculum resulted in virus replication without requiring the addition of trypsin, and was quantified by the detection of viral genome loads in apical washes. Interestingly, inoculation of an H3N2 strain known to cause severe disease in pigs induced a greater reduction in trans-epithelial resistance and more damage to tight junctions than H1N2 or H1N1 strains associated with mild disease in pigs. We conclude that the porcine WD-AEC model is useful in assessing the virulence of IAVsw strains. Full article
(This article belongs to the Special Issue Endemic and Emerging Swine Viruses 2024)
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Figure 1
<p>Establishment of AO-derived WD-AECs. (<b>A</b>) Schematic outline of the isolation of porcine bronchial epithelial cells from the primary bronchi which were subsequently grown as 3D organoids in an extracellular matrix before seeding in 2D on Transwell filters and culturing at air–liquid interface upon confluency. (<b>B</b>) Transverse histology sections over the course of 7 weeks showing the development of a pseudostratified ciliated respiratory epithelium. Hematoxylin and eosin stain, 40× objective. (<b>C</b>) Immunohistochemistry (IHC) staining of WD-AECs 7 weeks post-airlift and porcine bronchus epithelial cells. P63 staining to visualize basal cells, Muc5AC staining to visualize mucus (goblet cells) and acetylated tubulin staining to visualize cilia. WD-AEC resembles an <span class="html-italic">in vivo</span> bronchial epithelium in cellular composition and morphology, despite a reduced thickness. (<b>D</b>) Development of transepithelial electrical resistance (TEER) over the course of differentiation of WD-AECs. After an initial increase post-airlift, TEER values remained consistent. For B, C and D: Differentiation was followed for three separate donors. Representative data from one experiment are shown.</p>
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<p>Development of WD-AECs over time. Confocal laser scanning microscopy images showing the development of tight junctions (ZO-1), goblet cells (Muc5ac) and cilia (acetylated tubulin) over the course of 6 weeks after airlifting Transwell filters. Goblet cells were most abundant at 2–4 weeks, while cilia appeared after 3 weeks. Tight junctions were detected from week 0 onwards, but only started to show a regular pattern from week 2 onwards. Merged images show nuclei in blue, tight junctions in red, goblet cells in green and cilia in yellow. Scale bar represents 100 µm. 40× objective. Representative data from one experiment are shown.</p>
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<p>Infection of porcine WD-AECs with IAVsw. (<b>A</b>) Experimental design of IAVsw inoculation of porcine WD-AEC cultures. Three different IAVsw strains were used (H1N1, H1N2, H3N2) and applied apically at a dose of 10<sup>2</sup> or 10<sup>3</sup> TCID<sub>50</sub> in a volume of 10 µL. After 1 h incubation, Transwell filters were washed 4 times. An apical wash was collected at 16 h, 24 h and 48 h post-inoculation, and transepithelial electrical resistance (TEER) was measured at 0 hpi, 24 hpi and 48 hpi. At 48 hpi, filters were fixed and stained by hematoxylin and eosin (HE) and against IAV nucleoprotein (NP). (<b>B</b>) Viral RNA loads in apical washes. All viruses replicated in porcine WD-AECs. For H1N2, a dose–response curve was observed over all evaluated time points, which was only observed at the earlier time points for the other two viruses. (<b>C</b>) TEER values as a measure of epithelial integrity. TEER values declined for H3N2- and H1N1-inoculated WD-AECs over 48 h but remained constant in H1N2-inoculated WD-AECs. (<b>D</b>) Transverse histology sections stained by HE at 48 h post-infection. The epithelial cell layer remained intact for H1N2-inoculated WD-AECs, while there was substantial thinning of the cell layer in H3N2-inoculated WD-AECs. For H1N1, the higher dose seemed to cause more cell loss compared to the lower dose. 40× objective. B, C and D show representative results from one out of three experiments (pig04).</p>
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<p>IAV NP expression after 24 h post-infection with 10<sup>3</sup> TCID<sub>50</sub><b>.</b> Confocal microscopy images to visualize expression of IAV NP and epithelial composition. (<b>A</b>) H1N1-inoculated WD-AECs showed NP expression (green), continuous tight junctions (red), a thick layer of cilia (yellow) and predominantly intact nuclei (blue). (<b>B</b>) H3N2-inoculated filters showed NP expression while at the same time tight junctions were compromised, cilia expression was reduced and more fragmented nuclei were visible. (<b>C</b>) Angled side-view of WD-AEC shown in (<b>A</b>). (<b>D</b>) Angled side-view of WD-AEC shown in (<b>B</b>). Note that IAV NP staining (green) is visible within or above the apical side of WD-AEC cultures. All images: Scale bar represents 50 µm. 100× objective. Representative data from one experiment are shown.</p>
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16 pages, 4625 KiB  
Article
Burden and Risk Factors for Coinfections in Patients with a Viral Respiratory Tract Infection
by Pierachille Santus, Fiammetta Danzo, Juan Camilo Signorello, Alberto Rizzo, Andrea Gori, Spinello Antinori, Maria Rita Gismondo, Anna Maria Brambilla, Marco Contoli, Giuliano Rizzardini and Dejan Radovanovic
Pathogens 2024, 13(11), 993; https://doi.org/10.3390/pathogens13110993 - 13 Nov 2024
Viewed by 447
Abstract
Which patients should be monitored for coinfections or should receive empirical antibiotic treatment, in patients with an acute viral respiratory infection, is largely unknown. We evaluated the prevalence, characteristics, outcomes of coinfected patients, and risk factors associated with a coinfection among patients with [...] Read more.
Which patients should be monitored for coinfections or should receive empirical antibiotic treatment, in patients with an acute viral respiratory infection, is largely unknown. We evaluated the prevalence, characteristics, outcomes of coinfected patients, and risk factors associated with a coinfection among patients with an acute viral infection. A retrospective, single-center study recruited consecutive patients from October 2022 to March 2023 presenting to the emergency department with signs of a respiratory tract infection. Patients were screened for respiratory viruses and bacterial/fungal secondary infections according to local standard procedures. Outcomes included severe disease, in-hospital complications, all-cause in-hospital and ICU-related mortality, time to death, time to discharge, and time to coinfection. The analysis included 652 patients. A viral infection and a secondary bacterial/fungal infection were detected in 39.1% and 40% of cases. Compared with the rest of the cohort, coinfected patients had more frequently severe disease (88.3%, p < 0.001; 51% in patients with SARS-CoV-2) and higher in-hospital mortality (16.5%, p = 0.010). Nephropathy (OR 3.649, p = 0.007), absence of COVID-19 vaccination (OR 0.160, p < 0.001), SARS-CoV-2 infection (OR 2.390, p = 0.017), and lower blood pressure at admission (OR 0.980, p = 0.007) were independent risk factors for coinfection. Multidrug-resistant pathogens were detected in 30.8% of all coinfections. Patients with a viral infection are at high risk of bacterial coinfections, which carry a significant morbidity and mortality burden. Full article
(This article belongs to the Special Issue The Epidemiology and Diagnosis of Acute Respiratory Infections)
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<p>Flow chart describing study groups and prevalence of bacterial/fungal coinfections in patients with and without a positive viral swab.</p>
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<p>Proportion of coinfected patients (dark grey) and not coinfected patients (light grey) within each virus group.</p>
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<p>Survival curves reporting the time to infection/coinfection (<b>A</b>) and a blood/respiratory tract infection/coinfection (<b>B</b>) in patients with and without a positive viral swab. The same is reported for single viral isolates (<b>C</b>,<b>D</b>).</p>
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<p>Survival curves reporting the time to hospital discharge (<b>A</b>) and time to death from ED admission (<b>B</b>) in patients with a positive viral swab and with or without a coinfection.</p>
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<p>Prevalence of severe disease with and without a coinfection in patients with different viral isolates. Percentages are within group.</p>
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16 pages, 1862 KiB  
Article
The Antiviral Effects of Heat-Killed Lactococcus lactis Strain Plasma Against Dengue, Chikungunya, and Zika Viruses in Humans by Upregulating the IFN-α Signaling Pathway
by Zhao Xuan Low, Osamu Kanauchi, Vunjia Tiong, Norhidayu Sahimin, Rafidah Lani, Ryohei Tsuji, Sazaly AbuBakar and Pouya Hassandarvish
Microorganisms 2024, 12(11), 2304; https://doi.org/10.3390/microorganisms12112304 - 13 Nov 2024
Viewed by 433
Abstract
The growing risk of contracting viral infections due to high-density populations and ecological disruptions, such as climate change and increased population mobility, has highlighted the necessity for effective antiviral treatment and preventive measures against Dengue virus (DENV), Chikungunya virus (CHIKV), and Zika virus [...] Read more.
The growing risk of contracting viral infections due to high-density populations and ecological disruptions, such as climate change and increased population mobility, has highlighted the necessity for effective antiviral treatment and preventive measures against Dengue virus (DENV), Chikungunya virus (CHIKV), and Zika virus (ZIKV). Recently, there has been increasing attention on the use of probiotics as a potential antiviral option to reduce virus infections. The present study aimed to assess the immunomodulatory effects of heat-killed Lactococcus lactis strain plasma (LC-Plasma) on peripheral blood mononuclear cells (PBMCs) and its subsequent antiviral response against DENV, CHIKV, and ZIKV. To evaluate the immunomodulatory effects of LC-Plasma on PBMCs isolated from healthy individuals, PBMCs were cultured at a density of 2 × 105 cells/well and stimulated with 10 µg/mL of LC-Plasma. LC-plasma-stimulated PBMCs demonstrated elevated interferon-alpha (IFN-α) production and cluster of differentiation 86 (CD86) and human leukocyte antigen-DR isotype (HLA-DR) upregulation, potentially linked to plasmacytoid dendritic cell (pDC) activation. The replication of DENV, CHIKV, and ZIKV was dose-dependently inhibited when Huh-7 cells were stimulated with LC-Plasma-stimulated PBMC supernatant (LCP Sup). IFN-stimulated gene (ISG) expression, including IFN-stimulated gene 15 (ISG15), IFN-stimulated exonuclease gene 20 (ISG20), IFN-induced transmembrane protein 1 (IFITM-1), myxovirus resistance protein A (MxA), and radical S-adenosyl methionine domain-containing protein 2 (RSAD2), was significantly upregulated in LCP Sup-stimulated Huh-7 cells. Findings from this study indicate that LC-Plasma has the potential to induce IFN-α production, leading to an enhancement in the expression of ISGs and contributing to a broad-spectrum antiviral response. Thus, LC-Plasma may serve as a rational adjunctive treatment to ameliorate viral diseases, warranting future clinical trials. Full article
(This article belongs to the Special Issue Probiotics: The Current State of Scientific Knowledge)
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<p>The concentration of IFN-α in the supernatant of PBMCs stimulated with CpG ODN2216 (1 µM) and LC-Plasma (10 µg/mL). Box and violin graph illustrating the median ± SD (N = 5) of IFN-α concentration in the PBMC supernatant determined using ELISA. Neg Ctl = negative control, indicating PBMCs without treatment. * <span class="html-italic">p</span> &lt; 0.05 (nonparametric Kruskal–Wallis and Steel test).</p>
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<p>Fold increase in expression of CD86 and HLA-DR of pDCs after 24 h of CpG ODN 2216 (1 µM) and LC-Plasma (10 µg/mL) stimulation. Box and violin graph illustrating the median ± SD (N = 5) fold increase in expression of HLR-DR (<b>left</b>) and CD86 (<b>right</b>) of pDCs without stimulation (Neg Ctl) and after CpG ODN 2216 and LC-Plasma stimulation. * <span class="html-italic">p</span> &lt; 0.05, ns= non-significant difference (nonparametric Kruskal–Wallis and Steel test).</p>
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<p>Antiviral effects of supernatant from PBMCs stimulated with LC-Plasma against DENV, CHIKV, and ZIKV replication. Comparison of DENV, CHIKV, and ZIKV titers from 10-fold diluted supernatant of nonstimulated PBMC (Neg Sup 1:10), 10-fold diluted supernatants of LC-Plasma-stimulated PBMC (LCP Sup 1:10), and 10-fold diluted supernatants of CpG ODN 2216-stimulated PBMC (CpG Sup 1:10). The antiviral effects of LCP Sup 1:10 against DENV, CHIKV, and ZIKV replication were observed via qRT-PCR (<b>a</b>–<b>c</b>) and the infectious virus reduction assay (plaque/foci assay) (<b>d</b>–<b>f</b>) The Box and violin graphs represent the median ± SD (N = 5). * <span class="html-italic">p</span> &lt; 0.05 indicates a significant difference, while # <span class="html-italic">p</span> &lt; 0.1 indicates no significant difference but showed a tendency toward reduction (nonparametric Kruskal–Wallis and Steel test).</p>
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<p>Induction of IFN-stimulated gene (ISG) expression in Huh-7 cells. Huh-7 cells were treated with recombinant IFN-α (100u), CpG Sup 1:10, LCP Sup 1:10, or Neg Sup 1:10, and the expression of ISGs was measured using qRT-PCR. The comparison included IFITM, ISG15, ISG20, MxA, OAS-1, RSAD2, and RyDEN expression in Huh-7 cells following treatments with recombinant IFN-α, CpG Sup 1:10, and LCP Sup 1:10. The gene expression levels were referenced to the untreated Huh-7 cells (cell control) and normalized using the housekeeping gene beta-actin. The Box and violin graph represents median ± SD (N = 5). * <span class="html-italic">p</span> &lt; 0.05 indicates statistical significance (nonparametric Kruskal–Wallis and Steel tests).</p>
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<p>Effects of blocking Type I IFN signaling. To further elucidate the mechanism of the anti-DENV effect of LC-Plasma, Huh-7 cells were treated with blocking antibodies against IFNAR2 for 1 h before stimulation with 10-fold diluted LCP Sup (LCP Sup 1:10). The Box and violin graph represents median ± SD (N = 5). * <span class="html-italic">p</span> &lt; 0.05 indicates statistical significance (nonparametric Kruskal–Wallis and Steel tests).</p>
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19 pages, 4458 KiB  
Article
The SA-WRKY70-PR-Callose Axis Mediates Plant Defense Against Whitefly Eggs
by Hong-Da Song, Feng-Bin Zhang, Shun-Xia Ji, Xue-Qian Wang, Jun-Xia Wang, Yu-Xiao Liu, Xiao-Wei Wang and Wen-Hao Han
Int. J. Mol. Sci. 2024, 25(22), 12076; https://doi.org/10.3390/ijms252212076 - 10 Nov 2024
Viewed by 587
Abstract
The molecular mechanisms of plant responses to phytophagous insect eggs are poorly understood, despite their importance in insect–plant interactions. This study investigates the plant defense mechanisms triggered by the eggs of whitefly Bemisia tabaci, a globally significant agricultural pest. A transcriptome comparison [...] Read more.
The molecular mechanisms of plant responses to phytophagous insect eggs are poorly understood, despite their importance in insect–plant interactions. This study investigates the plant defense mechanisms triggered by the eggs of whitefly Bemisia tabaci, a globally significant agricultural pest. A transcriptome comparison of tobacco plants with and without eggs revealed that whitefly eggs may activate the response of defense-related genes, including those involved in the salicylic acid (SA) signaling pathway. SA levels are induced by eggs, resulting in a reduction in egg hatching, which suggests that SA plays a key role in plant resistance to whitefly eggs. Employing Agrobacterium-mediated transient expression, virus-induced gene silencing assays, DNA–protein interaction studies, and bioassays, we elucidate the regulatory mechanisms involved. Pathogenesis-related proteins NtPR1-L1 and NtPR5-L2, downstream of the SA pathway, also affect whitefly egg hatching. The SA-regulated transcription factor NtWRKY70a directly binds to the NtPR1-L1 promoter, enhancing its expression. Moreover, NtPR1-L1 promotes callose deposition, which may impede the eggs’ access to water and nutrients. This study establishes the SA-WRKY70-PR-callose axis as a key mechanism linking plant responses and defenses against whitefly eggs, providing new insights into the molecular interactions between plants and insect eggs. Full article
(This article belongs to the Special Issue Molecular Interactions between Plants and Pests)
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<p>The whitefly egg–plant interaction and experimental design. (<b>a</b>) Whitefly feeding and laying eggs on the abaxial leaf surface of tobacco plants. Orange arrows indicate a female whitefly and eggs respectively. Scale bar, 200 μm. (<b>b</b>) Whitefly egg anchored in tobacco leaf by an egg stalk (orange arrow), called a pedicel. Scale bar, 50 μm. (<b>c</b>) A whitefly was allowed to lay eggs on an extended parafilm, then the eggs were removed intact from the parafilm by conductive tape. The scanning electron micrograph shows the characteristics of whitefly egg pedicel. Scale bar, 10 μm). (<b>d</b>) Interaction between whitefly eggs and tobacco leaves. Blue circles represent water and orange rounded rectangles represent nutrients. (<b>e</b>) Study experimental design. Male and female whiteflies were respectively collected and released to tobacco plants to feed (male) and to feed and oviposit (female) for 2 d. Then, adults were removed and tobacco leaves were sampled on day 6.</p>
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<p>Tobacco transcriptome responses to whitefly eggs and feeding. (<b>a</b>) Histogram showing up- and downregulated number of DEGs between eggs + feeding samples (EF) vs. feeding samples (F). (<b>b</b>) Heatmap showing the expression patterns of DEGs between F and EF. Each treatment had three replicates. The red to blue colors represent high to low expression levels based on the Log10-transformed FPKM values. (<b>c</b>,<b>d</b>) Enrichment plot showing top 20 <span class="html-italic">p</span>-value GO terms (<b>c</b>) and KEGG pathways (<b>d</b>) of upregulated DEGs between F and EF.</p>
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<p>Egg-inducible SA accumulation reduces the hatching of eggs. (<b>a</b>,<b>b</b>) Concentrations of SA (<b>a</b>), JA, and JA-Ile (<b>b</b>) in feeding samples (F) and eggs + feeding samples (EF). <span class="html-italic">n =</span> 6. Values are mean ± SEM. n.s., not significant; *, <span class="html-italic">p</span> &lt; 0.05 (Student’s <span class="html-italic">t</span>-test). (<b>c</b>,<b>d</b>) Egg-hatching rates on tobacco plants upon exogenous application of 0.1 mM, 1 mM, 10 mM SA (<b>c</b>), and MeJA (<b>d</b>). <span class="html-italic">n =</span> 15. Values are mean ± SEM. Bars with different lowercase letters indicate significant differences between treatments at <span class="html-italic">p</span> &lt; 0.05 (one-way ANOVA, LSD test). (<b>e</b>,<b>f</b>) Egg-hatching rates on NahG (<b>e</b>) and <span class="html-italic">AOC</span>-RNAi (<b>f</b>) tobacco. <span class="html-italic">n =</span> 30. Values are mean ± SEM. n.s., not significant; **, <span class="html-italic">p</span> &lt; 0.01 (Student’s <span class="html-italic">t</span>-test).</p>
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<p>SA-responsive <span class="html-italic">NtPRs</span> are involved in response and defense to whitefly eggs. (<b>a</b>,<b>b</b>) The relative transcription levels of six <span class="html-italic">NtPRs</span> in feeding samples (F) and eggs + feeding samples (EF) of tobacco plants (a, <span class="html-italic">n =</span> 8, *, <span class="html-italic">p</span> &lt; 0.05, Student’s <span class="html-italic">t</span>-test), and in plants following application of 0.1 mM, 1 mM, 10 mM SA, and mock (b, <span class="html-italic">n =</span> 6, <span class="html-italic">p</span> &lt; 0.05, one-way ANOVA, LSD test). Values are mean ± SEM of two technical replicates. n.s., not significant. (<b>c</b>,<b>d</b>) Egg-hatching rates on five <span class="html-italic">NtPRs</span> over-expression (OE) (<b>c</b>) and two VIGS-<span class="html-italic">NtPRs</span> (<b>d</b>) tobacco plants. Values are mean ± SEM, <span class="html-italic">n =</span> 15. n.s., not significant; *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01 (Student’s <span class="html-italic">t</span>-test).</p>
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<p>SA-responsive <span class="html-italic">NtWRKY70a</span> participates in plant defense against whitefly eggs. (<b>a</b>,<b>b</b>) The relative transcription levels of two <span class="html-italic">NtWRKY70s</span> in feeding samples (F) and eggs + feeding samples (EF) of tobacco (a, <span class="html-italic">n =</span> 8, *, <span class="html-italic">p</span> &lt; 0.05, Student’s <span class="html-italic">t</span>-test), and in plants following application of 0.1 mM, 1 mM, 10 mM SA, and mock (b, <span class="html-italic">n =</span> 6, <span class="html-italic">p</span> &lt; 0.05, one-way ANOVA, LSD test). Values are mean ± SEM of two technical replicates. (<b>c</b>,<b>d</b>) Egg-hatching rate on two <span class="html-italic">NtWRKY70s</span> over-expression (OE) (<b>c</b>) and VIGS-<span class="html-italic">NtWRKY70</span> (<b>d</b>) tobacco plants. Values are mean ± SEM, <span class="html-italic">n =</span> 15. n.s., not significant; *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01 (Student’s <span class="html-italic">t</span>-test).</p>
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<p>NtWRKY70a activates the transcription of <span class="html-italic">NtPR1-L1</span> by binding to its promoter. (<b>a</b>) Relative expression levels of <span class="html-italic">NtPR1-L1</span> and <span class="html-italic">NtPR5-L2</span> in the <span class="html-italic">NtWRKY70a</span> over-expression (OE) and VIGS-<span class="html-italic">NtWRKY70a</span> tobacco plants. Values are mean ± SEM of two technical replicates, <span class="html-italic">n =</span> 8–14. n.s., not significant; *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01 (Student’s <span class="html-italic">t</span>-test). (<b>b</b>) Yeast one-hybrid assay of the interaction between <span class="html-italic">NtPRs</span> promoter and <span class="html-italic">NtWRKY70a</span>. Gold yeast cells co-transformed with pAbAi-NtPRpro and pGADT7-NtWRKY70a plasmids were cultured on SD/-Leu medium with or without 75 ng ml<sup>−1</sup> or 100 ng ml<sup>−1</sup> AbA for 3 d. The empty vector pGADT7 was used as a negative control. (<b>c</b>) Analysis of the interaction between <span class="html-italic">NtPRs</span> promoter and NtWRKY70a in tobacco leaves using GUS staining assay. Diagrams on the left show the reporter and effector vectors. <span class="html-italic">35S</span>, <span class="html-italic">CaMV 35S</span> promoter; <span class="html-italic">GFP</span>, <span class="html-italic">green fluorescent protein</span>; <span class="html-italic">GUS</span>, <span class="html-italic">β-glucuronidase</span>. Representative photographs from five to six replicates are shown. (<b>d</b>) Analysis of the interaction between <span class="html-italic">NtPRs</span> promoter and NtWRKY70a in tobacco leaves using a dual-luciferase reporter assay. Diagrams on the left show the reporter and effector vectors. <span class="html-italic">REN</span>, <span class="html-italic">Renilla luciferase</span>; <span class="html-italic">LUC</span>, <span class="html-italic">firefly luciferase</span>. The activity of REN was used as an internal control. Values are mean ± SEM, <span class="html-italic">n =</span> 3–6. n.s., not significant; **, <span class="html-italic">p</span> &lt; 0.01 (Student’s <span class="html-italic">t</span>-test).</p>
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<p><span class="html-italic">NtPR1-L1</span> contributes to egg resistance by inducing callose deposition. (<b>a</b>) Callose staining assay of the egg-induced callose deposition in tobacco leaves treated with 2-deoxy-D-glucose (2-DDG) and H<sub>2</sub>O, respectively. Red arrows indicate the callose deposition around the pedicel, and white arrow indicates a pedicel without callose deposition. Scale bars, 50 μm. (<b>b</b>) Egg-hatching rate on 2-DDG- and H<sub>2</sub>O-treated tobacco plants. Values are mean ± SEM, <span class="html-italic">n =</span> 15. **, <span class="html-italic">p</span> &lt; 0.01 (Student’s <span class="html-italic">t</span>-test). (<b>c</b>) Callose staining assay of tobacco plants treated with 1 mM SA for 5 d. Scale bars, 50 μm. Representative results from five replicates are shown. (<b>d</b>) Callose staining assay of <span class="html-italic">NtPR1</span> over-expressing (OE) tobacco plants. 1305-GFP was used as a control. Scale bars, 50 μm. Representative results from five replicates are shown.</p>
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<p>A model depicting the functional relationships among SA, NtWRKY70a, and NtPRs, and their roles in the plant–whitefly egg interaction. Whiteflies oviposit on plants by inserting and securing eggs into the epidermal tissue. Then, eggs develop by absorbing water and possibly nutrients through the pedicel until hatching. During this process, SA accumulation in the plant is induced by eggs, then activates the downstream <span class="html-italic">NtWRKY70a</span>. As a transcription factor, NtWRKY70a then directly binds to the promoter of <span class="html-italic">NtPR1-L1</span> and activates its transcription. <span class="html-italic">NtPR1-L1</span> may induce callose deposition, which interferes with the egg’s absorption of substances from the host and affects egg hatching. Moreover, egg-induced SA accumulation may upregulate the transcription of egg resistance gene <span class="html-italic">NtPR5-L2</span>, and this regulatory mechanism remains to be determined. PR1 represents NtPR1-L1, PR5 represents NtPR5-L2. Blue circles represent water, green squares represent nutrient, orange rounded rectangles represent callose.</p>
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11 pages, 1911 KiB  
Article
Hepatitis B Virus-Induced Resistance to Sorafenib and Lenvatinib in Hepatocellular Carcinoma Cells: Implications for Cell Viability and Signaling Pathways
by Narmen Esmael, Ido Lubin, Ran Tur-Kaspa and Romy Zemel
Cancers 2024, 16(22), 3763; https://doi.org/10.3390/cancers16223763 - 8 Nov 2024
Viewed by 349
Abstract
Background/Objectives: Sorafenib and lenvatinib are tyrosine kinase inhibitors used in hepatocellular carcinoma (HCC) treatment. This study investigates how hepatitis B virus (HBV) infection affects their efficacy in HepG2 hepatoma cells. Methods: HepG2 and HBV-infected HepG2/2215 cells were treated with varying concentrations [...] Read more.
Background/Objectives: Sorafenib and lenvatinib are tyrosine kinase inhibitors used in hepatocellular carcinoma (HCC) treatment. This study investigates how hepatitis B virus (HBV) infection affects their efficacy in HepG2 hepatoma cells. Methods: HepG2 and HBV-infected HepG2/2215 cells were treated with varying concentrations of both drugs. The cell viability, cell cycle gene expression, cycle progression, and phosphorylation levels of ERK and AKT were analyzed. Results: The HBV-infected cells showed significant alterations in their cell cycle gene expressions, with an 80-fold increase in CCND2 expression and a higher proportion of cells in the G2/M phase, indicating enhanced proliferation. While both drugs decreased HepG2 cell viability in a concentration-dependent manner, HBV infection conferred resistance, as evidenced by the increased viable cells in the HepG2/2215 cultures. Sorafenib and lenvatinib decreased key cyclin and cyclin-dependent kinase expressions in uninfected cells, with less effect on the HBV-infected cells. Both drugs lowered the pERK and pAKT levels in the HepG2 cells. In the HBV-infected cells, sorafenib reduced the pERK and pAKT levels to a lesser extent. However, treatment with lenvatinib elevated the levels of pERK and pAKT. Conclusions: In conclusion, HBV infection increases resistance to both sorafenib and lenvatinib in hepatoma cells by influencing the cell cycle regulatory genes and critical signaling pathways. However, the resistance mechanisms likely differ between the two medications. Full article
(This article belongs to the Special Issue Hepatitis Viruses and Cancer)
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<p>Sorafenib and lenvatinib treatment decreased the viability of HepG2 cells. HepG2 cells and HepG2/2215 HBV-infected cells (2215) were exposed to varying concentrations (0 to 14 µM) of (<b>A</b>) sorafenib or (<b>B</b>) lenvatinib for 24 h and analyzed for viability by AlamarBlue. A comparison of the effects of sorafenib and of lenvatinib in (<b>C</b>) HepG2 cells and in (<b>D</b>) HepG2/2215 cells is shown. The percentage of live cells was determined compared to the non-treated cells, set as 100%. The data are presented as the means ± standard deviations. <span class="html-italic">n</span> = 3. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.005, and *** <span class="html-italic">p</span> &lt; 0.0005.</p>
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<p>The effects of sorafenib and lenvatinib treatments on the expressions of cell cycle genes in the HepG2 and HepG2/2215 cell lines. QRT-PCR of cell cycle gene expression; <span class="html-italic">CDK1</span>, <span class="html-italic">CDK2</span>, <span class="html-italic">CDK3</span>, <span class="html-italic">CDK6</span>, <span class="html-italic">CCNB1</span>, <span class="html-italic">CCND1</span>, and <span class="html-italic">CCND2</span>. (<b>A</b>) HepG2 and HepG2/2215 cell lines without treatment; (<b>B</b>) HEPG2 cells treated with sorafenib (Sor) and (<b>C</b>) lenvatinib (Len); (<b>D</b>) HepG2/2215 cells treated with sorafenib and (<b>E</b>) lenvatinib. The results are shown as the relative quantity normalized to the RPLP11 mRNA values. The data are presented as the means ± standard deviations; <span class="html-italic">n</span> = 3. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.005, *** <span class="html-italic">p</span> &lt; 0.0001 and **** <span class="html-italic">p</span> &lt; 0.00005.</p>
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<p>The effect of sorafenib (Sor) and lenvatinib (Len) on cell cycle phases in HepG2/2215 cell line. Stacked bar graphs showing the percentage of cells in different phases of the cell cycle. Flow cytometry results shown distribution DNA content: G1 (black), S (dark gray), G2/M (light gray) phases in (<b>A</b>) HepG2 and HepG2/2215 cell line without chemotherapeutic treatments (<b>B</b>) HepG2 cells ± sorafenib and lenvatinib treatment (<b>C</b>) HepG2/2215 cells ± sorafenib and lenvatinib treatment. Data of three experiments are presented as mean ± standard deviation (numbers at the left side of the bars represent the mean of % cell number). <span class="html-italic">NS</span>—non significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.005, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>PERK and pAKT expression levels following treatment with sorafenib and lenvatinib. HepG2 and HepG2/2215 cells were treated with 10 µM sorafenib or 10 µM lenvatinib for 24 h, and the proteins were extracted and analyzed by Western blot for the protein levels of (<b>A</b>) pERK (<b>a</b>), ERK (<b>b</b>) and tubulin (as the internal control) (<b>c</b>) and for (<b>B</b>) pAKT (<b>a</b>) and tubulin (<b>b</b>). iBright analysis was used to quantify intensity, and the percentage of relative intensity, normalized to untreated cells, is displayed at the membrane’s bottom.</p>
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20 pages, 1844 KiB  
Review
Application of Chitosan and Its Derivatives Against Plant Viruses
by Tatiana Komarova, Irina Shipounova, Natalia Kalinina and Michael Taliansky
Polymers 2024, 16(22), 3122; https://doi.org/10.3390/polym16223122 - 7 Nov 2024
Viewed by 670
Abstract
Chitosan is a natural biopolymer that is industrially produced from chitin via deacetylation. Due to its unique properties and a plethora of biological activities, chitosan has found application in diverse areas from biomedicine to agriculture and the food sector. Chitosan is regarded as [...] Read more.
Chitosan is a natural biopolymer that is industrially produced from chitin via deacetylation. Due to its unique properties and a plethora of biological activities, chitosan has found application in diverse areas from biomedicine to agriculture and the food sector. Chitosan is regarded as a biosafe, biodegradable, and biocompatible compound that was demonstrated to stimulate plant growth and to induce a general plant defense response, enhancing plant resistance to various pathogens, including bacteria, fungi, nematodes, and viruses. Here, we focus on chitosan application as an antiviral agent for plant protection. We review both the pioneer studies and recent research that report the effect of plant treatment with chitosan and its derivatives on viral infection. Special attention is paid to aspects that affect the biological activity of chitosan: polymer length and, correspondingly, its molecular weight; concentration; deacetylation degree and charge; application protocol; and experimental set-up. Thus, we compare the reported effects of various forms and derivatives of chitosan as well as chitosan-based nanomaterials, focusing on the putative mechanisms underlying chitosan-induced plant resistance to plant viruses. Full article
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<p>Chitosan activity against plant viruses depends on the plant–virus pair, CHT physico-chemical properties, and the experimental set-up.</p>
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<p>Schematic representation of the putative mechanisms related to CHT-mediated plant resistance to viral infection. CW, cell wall; PM, plasma membrane; ROS, reactive oxygen species; RNAses, ribonucleases; SA, salicylic acid; JA, jasmonic acid; ABA, abscisic acid; RDRs, RNA-dependent RNA polymerases; SAR, systemic acquired resistance; PD, plasmodesmata.</p>
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14 pages, 2691 KiB  
Article
An Evaluation of Organic Biostimulants as a Tool for the Sustainable Management of Viral Infections in Zucchini Plants
by Carla Libia Corrado, Livia Donati, Anna Taglienti, Luca Ferretti, Francesco Faggioli, Massimo Reverberi and Sabrina Bertin
Horticulturae 2024, 10(11), 1176; https://doi.org/10.3390/horticulturae10111176 - 7 Nov 2024
Viewed by 384
Abstract
In agriculture, new and sustainable strategies are increasingly demanded to integrate the traditional management of viral diseases based on the use of virus-free propagation materials and resistant or tolerant cultivars and on the control of insect vectors. Among the possible Integrated Pest Management [...] Read more.
In agriculture, new and sustainable strategies are increasingly demanded to integrate the traditional management of viral diseases based on the use of virus-free propagation materials and resistant or tolerant cultivars and on the control of insect vectors. Among the possible Integrated Pest Management (IPM) approaches, organic biostimulants have shown promising results in enhancing plant tolerance to virus infections by improving plant fitness and productivity and modulating metabolic functions. In this study, the combination of two organic biostimulants, Alert D-Max and Resil EVO Q, composed of seaweed and alfalfa extracts, enzymatic hydrolysates, and micronized zeolite, was applied on the leaves and roots of zucchini squashes, both healthy and infected by zucchini yellow mosaic virus (ZYMV). Four applications were scheduled based on ZYMV inoculation timing, and plant vegetative and reproductive parameters were recorded along with the virus titre and symptom severity. The modulation of the expression of specific genes potentially involved in pattern-triggered immunity (PTI), systemic acquired resistance (SAR), and oxidative stress defence pathways was also investigated. Besides increasing the general fitness of the healthy plants, the biostimulants significantly improved the production of flowers and fruits of the infected plants, with a potential positive impact on their productivity. The repeated biostimulant applications also led to a one-tenth reduction in ZYMV titre over time and induced a progressive slowdown of symptom severity. Genes associated with SAR and PTI were up-regulated after biostimulant applications, suggesting the biostimulant-based priming of plant defence mechanisms. Due to the observed beneficial effects, the tested biostimulant mix can be an effective component of the IPM of cucurbit crops, acting as a sustainable practice for enhancing plant fitness and tolerance to potyviruses. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
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<p>Analysis of vegetative parameters. (<b>a</b>) Number of leaves and (<b>b</b>) dry weight (grams) produced by healthy treated (HT), infected treated (IT), healthy untreated (HU), and infected untreated (IU) plants at 45 d.p.i. Results are expressed as mean values ± standard error (±SEM) recorded from 12 plants per treatment in three independent experimental trials. Different letters indicate statistically significant differences (Tukey test, <span class="html-italic">p</span> value &lt; 0.05).</p>
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<p>Plant growth and size. This figure shows 35-day old plants representative for the biomass produced within each of the four treatments: healthy treated (HT), infected treated (IT), healthy untreated (HU), and infected untreated (IU) plants.</p>
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<p>Analysis of reproductive parameters. Number of (<b>a</b>) flowers and (<b>b</b>) fruits produced by healthy treated (HT), infected treated (IT), healthy untreated (HU), and infected untreated (IU) plants at 45 d.p.i. Results are expressed as mean values ± standard error (±SEM) recorded from 12 plants per treatment in three independent experimental trials. Different letters indicate statistically significant differences (Tukey test, <span class="html-italic">p</span> value &lt; 0.05).</p>
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<p>Evaluation of ZYMV symptoms. Symptoms observed in ZYMV-infected treated (IT) and ZYMV-infected untreated (IU) plants at 22 and 36 d.p.i. No symptoms were observed in healthy plants (healthy treated, HT, and healthy untreated, HU) at 36 d.p.i.</p>
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<p>Analysis of ZYMV titre. Relative quantification of ZYMV at 8, 22, and 36 d.p.i. measured by using 2<sup>−ΔΔCt</sup> method and setting ZYMV-infected untreated samples (IU) as control and <span class="html-italic">EF-1α</span> as reference gene (<span class="html-italic">EF-1α</span> expression in IU = 1). Results are expressed as mean values ± standard error (±SEM) obtained from two technical replicates of three pooled biological replicates produced in three independent experimental repeats. (*) indicates significant fold changes, i.e., values above 2.0 (up-regulation) or below 0.5 (down-regulation) with confidence interval that did not comprise value of 1 (no regulation) at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Gene expression analysis. Relative expression of (<b>a</b>) <span class="html-italic">peroxidase</span> (<span class="html-italic">POD</span>) and (<b>b</b>) <span class="html-italic">pathogenesis-related gene 1</span> (<span class="html-italic">PR1</span>) at 8, 22, and 36 d.p.i. measured by using 2<sup>−ΔΔCt</sup> method and setting ZYMV-infected untreated samples (IU) as control and <span class="html-italic">EF-1α</span> as reference gene (<span class="html-italic">EF-1α</span> expression in IU = 1). Results are expressed as mean values ± standard error (±SEM) obtained from two technical replicates of three pooled biological replicates produced in three independent experimental repeats. (*) indicates significant fold changes, i.e., values above 2.0 (up-regulation) or below 0.5 (down-regulation) with confidence interval that did not comprise value of 1 (no regulation) at <span class="html-italic">p</span> &lt; 0.05.</p>
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20 pages, 376 KiB  
Review
Climate Change Effects on Cucumber Viruses and Their Management
by Zhimin Yin, Bartłomiej Zieniuk and Magdalena Pawełkowicz
Agriculture 2024, 14(11), 1999; https://doi.org/10.3390/agriculture14111999 - 7 Nov 2024
Viewed by 663
Abstract
The agricultural sector is facing unprecedented challenges as a result of climate change. As temperatures continue to rise and weather patterns shift, the dynamics of plant–virus interactions are significantly altered, requiring innovative solutions to ensure global food security. This review article examines the [...] Read more.
The agricultural sector is facing unprecedented challenges as a result of climate change. As temperatures continue to rise and weather patterns shift, the dynamics of plant–virus interactions are significantly altered, requiring innovative solutions to ensure global food security. This review article examines the relationship between climate change and the prevalence and severity of cucumber viral diseases, their impact on cucumber yield and quality, and the subsequent economic implications, focusing on critical pathogens such as cucumber mosaic virus (CMV), cucumber leaf spot virus (CLSV), or cucumber vein yellowing virus (CVYV). It also aims to provide a comprehensive overview of the current state of knowledge and identify critical areas for future research and development in response to climate change. The review examines potential solutions to address these challenges. These include exploring the development of virus-resistant cucumber varieties and the use of RNA-based technologies for virus control. Full article
(This article belongs to the Section Crop Protection, Diseases, Pests and Weeds)
15 pages, 3092 KiB  
Article
Reliable Augmentation and Precise Identification of EPG Waveforms Based on Multi-Criteria DCGAN
by Xiangzeng Kong, Chuxin Wang, Lintong Zhang, Wenqing Zhang, Shimiao Chen, Haiyong Weng, Nana Hu, Tingting Zhang and Fangfang Qu
Appl. Sci. 2024, 14(22), 10127; https://doi.org/10.3390/app142210127 - 5 Nov 2024
Viewed by 456
Abstract
The electrical penetration graph (EPG) technique is of great significance in elucidating the mechanisms of virus transmission by piercing-sucking insects and crop resistance to these insects. The traditional method of manually processing EPG signals encounters the drawbacks of inefficiency and subjectivity. This study [...] Read more.
The electrical penetration graph (EPG) technique is of great significance in elucidating the mechanisms of virus transmission by piercing-sucking insects and crop resistance to these insects. The traditional method of manually processing EPG signals encounters the drawbacks of inefficiency and subjectivity. This study investigated the data augmentation and automatic identification of various EPG signals, including A, B, C, PD, E1, E2, and G, which correspond to distinct behaviors exhibited by the Asian citrus psyllid. Specifically, a data augmentation method based on an improved deep convolutional generative adversarial network (DCGAN) was proposed to address the challenge of insufficient E1 waveforms. A multi-criteria evaluation framework was constructed, leveraging maximum mean discrepancy (MMD) to evaluate the similarity between the generated and real data, and singular value decomposition (SVD) was incorporated to optimize the training iterations of DCGAN and ensure data diversity. Four models, convolutional neural network (CNN), K-nearest neighbors (KNN), decision tree (DT), and support vector machine (SVM), were established based on DCGAN to classify the EPG waveforms. The results showed that the parameter-optimized DCGAN strategy significantly improved the model accuracies by 5.8%, 6.9%, 7.1%, and 7.9% for DT, SVM, KNN, and CNN, respectively. Notably, DCGAN-CNN effectively addressed the skewed distribution of EPG waveforms, achieving an optimal classification accuracy of 94.13%. The multi-criteria optimized DCGAN-CNN model proposed in this study enables reliable augmentation and precise automatic identification of EPG waveforms, holding significant practical implications for understanding psyllid behavior and controlling citrus huanglongbing. Full article
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<p>Schematic diagram of EPG data collection.</p>
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<p>DCGAN Network Framework.</p>
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<p>The SVD graphs of DCGAN with different Epoch values: (<b>a</b>) Epoch = 500, (<b>b</b>) Epoch = 1000, (<b>c</b>) Epoch = 2000, and (<b>d</b>) Epoch = 4000.</p>
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<p>Generated E1 waveform: (<b>a</b>) E1-1, (<b>b</b>) E1-2, (<b>c</b>) E1-3, and (<b>d</b>) E1-4.</p>
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<p>ROC curves of four models for classification of EPG waveforms: (<b>a</b>) KNN, (<b>b</b>) SVM, (<b>c</b>) CNN, and (<b>d</b>) DT.</p>
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17 pages, 5043 KiB  
Article
Secretory Proteins Are Involved in the Parasitism of Melon by Phelipanche aegyptiaca During the Attachment Stage
by Lifeng Xiao, Qiuyue Zhao, Xiaolei Cao, Zhaoqun Yao and Sifeng Zhao
Plants 2024, 13(21), 3083; https://doi.org/10.3390/plants13213083 - 1 Nov 2024
Viewed by 520
Abstract
Parasitic plants represent a significant challenge in global agriculture, with Broomrape (Orobanche/Phelipanche spp.) being a notable example of a holoparasitic species that targets the roots of host plants. This study employed comparative transcriptomics to investigate the mechanisms underlying the parasitism [...] Read more.
Parasitic plants represent a significant challenge in global agriculture, with Broomrape (Orobanche/Phelipanche spp.) being a notable example of a holoparasitic species that targets the roots of host plants. This study employed comparative transcriptomics to investigate the mechanisms underlying the parasitism of P. aegyptiaca on melon, focusing on both resistant and susceptible interactions. The findings indicate that the critical phase of P. aegyptiaca parasitism occurs during the post-attachment stage. It is suggested that peptidases may play a role in the development of invasive cells, while cell wall-degrading enzymes (CWDEs) are likely involved in cell wall modification and degradation, and transferases, elicitors, and effectors may play a role in immune regulation. In this study, 25 tobacco rattle virus (TRV) recombinant vectors were successfully constructed and functionally validated using a host-induced gene silencing assay to explore the functions of candidate-secreted effector proteins. The results revealed that silencing Cluster-107894.0, Cluster-11592.0, and Cluster-12482.0 significantly decreased the parasitism rate of P. aegyptiaca on Nicotiana benthamiana. Notably, Cluster-107849.0 encodes a cellulase with hydrolase activity, Cluster-11592.0 encodes a periodic-dependent kinase inhibitor with phosphoprotein activity, and Cluster-12482.0 encodes a glucan 1,3-β-glucosidase with hydrolase activity. These findings potentially offer a novel theoretical framework and justification for understanding host–parasite plant interactions, and suggest new avenues for developing crop varieties resistant to parasitic infestation. Full article
(This article belongs to the Section Plant Protection and Biotic Interactions)
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<p>Differential performance of <span class="html-italic">P. aegyptiaca</span> in interaction with melon in the root chamber method. (<b>A</b>,<b>B</b>) The interaction of <span class="html-italic">P. aegyptiaca</span> with melon roots. Differential phenotypes of <span class="html-italic">P. aegyptiaca</span> in interaction with “KR1326” (<b>C</b>) and “K1237” (<b>D</b>), including the periods of 7 dpi (i), 14 dpi (ii), and 21 dpi (iii), with a scale of 1 mm.</p>
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<p>Enrichment analysis of up-regulated genes in <span class="html-italic">P. aegyptiaca</span>. Bubble plot of KEGG enrichment of up-regulated genes in <span class="html-italic">P. aegyptiaca</span> on “K1237” at 9 dpi (<b>A</b>) and 16 dpi (<b>B</b>). Pathway associated with cell wall degradation in GO enrichment of up-regulated genes in <span class="html-italic">P. aegyptiaca</span> on “K1237” at 9 dpi (<b>C</b>) and 16 dpi (<b>D</b>).</p>
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<p>GO enrichment analysis of up-regulated genes in <span class="html-italic">P. aegyptiaca</span>. GO pathway enrichment of up-expressed genes in <span class="html-italic">P. aegyptiaca</span> on “K1237” associated with peptidase activity-related pathway (<b>A</b>) and transferase activity-related pathway (<b>B</b>) at 9 dpi.</p>
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<p>Analysis of up-regulated genes in <span class="html-italic">P. aegyptiaca</span> enriched in the pathogenesis pathway at 9 dpi. Columns 2 and 3 indicate the log<sub>2</sub>(fold change) level of gene expression, and the color intensity correlates with the change level. Sample group names are shown at the top.</p>
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<p>Susceptibility interactions established by <span class="html-italic">P. aegyptiaca</span> with melon roots.</p>
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<p>Analysis and validation of 25 candidate-secreted protein genes of <span class="html-italic">P. aegyptiaca</span> in HIGs assay. (<b>A</b>) Heatmap of the 25 candidate genes with functional annotation information for which recombinant vectors were successfully constructed (<b>B</b>), qRT-PCR verification. Relative expression was normalized to endogenous control <span class="html-italic">Patublin1</span>. The data shown are the means ± SD of three technical replicates.</p>
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<p>Plant phenotypes in HIGs validation. “PDS” shows the albinism of <span class="html-italic">N. benthamiana</span> after expressing TRV: PDS. “CK” was the blank control, and <span class="html-italic">N. benthamiana</span> was only treated with <span class="html-italic">P. aegyptiaca</span> inoculation. “TRV2” was the <span class="html-italic">N. benthamiana</span> expressed empty TRV vector, as a negative control. Transformed <span class="html-italic">N. benthamiana</span> expressing the TRV: gene after root washing (<b>left</b>), as well as a detailed display of <span class="html-italic">P. aegyptiaca</span> (<b>right</b>).</p>
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<p>Plant phenotypes in HIGs validation and the quantity statistics. (<b>A</b>) Transformed <span class="html-italic">N. benthamiana</span> expressing the TRV: gene after root washing (<b>left</b>), as well as a detailed display of <span class="html-italic">P. aegyptiaca</span> (<b>right</b>). (<b>B</b>), The statistical analysis of the number of <span class="html-italic">P. aegyptiaca</span> parasitized. The experiment was repeated 3 times with 6 plants per treatment. “*” indicates <span class="html-italic">p</span> &lt; 0.05.</p>
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16 pages, 1720 KiB  
Article
Association of Liver Damage and Quasispecies Maturity in Chronic HCV Patients: The Fate of a Quasispecies
by Josep Gregori, Marta Ibañez-Lligoña, Sergi Colomer-Castell, Carolina Campos, Damir García-Cehic and Josep Quer
Microorganisms 2024, 12(11), 2213; https://doi.org/10.3390/microorganisms12112213 - 31 Oct 2024
Viewed by 499
Abstract
Viral diversity and disease progression in chronic infections, and particularly how quasispecies structure affects antiviral treatment, remain key unresolved issues. Previous studies show that advanced liver fibrosis in long-term viral infections is linked to higher rates of antiviral treatment failures. Additionally, treatment failure [...] Read more.
Viral diversity and disease progression in chronic infections, and particularly how quasispecies structure affects antiviral treatment, remain key unresolved issues. Previous studies show that advanced liver fibrosis in long-term viral infections is linked to higher rates of antiviral treatment failures. Additionally, treatment failure is associated with high quasispecies fitness, which indicates greater viral diversity and adaptability. As a result, resistant variants may emerge, reducing retreatment effectiveness and increasing the chances of viral relapse. Additionally, using a mutagenic agent in monotherapy can accelerate virus evolution towards a flat-like quasispecies structure. This study examines 19 chronic HCV patients who failed direct-acting antiviral (DAA) treatments, using NGS to analyze quasispecies structure in relation to fibrosis as a marker of infection duration. Results show that HCV evolves towards a flat-like quasispecies structure over time, leading also to advanced liver damage (fibrosis F3 and F4/cirrhosis). Based on our findings and previous research, we propose that the flat-like fitness quasispecies structure is the final stage of any quasispecies in chronic infections unless eradicated. The longer the infection persists, the lower the chances of achieving a cure. Interestingly, this finding may also be applicable to other chronic infection and drug resistance in cancer. Full article
(This article belongs to the Special Issue Application of Omics in Virus Research)
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<p>Wilcoxon test, BH-adjusted <span class="html-italic">p</span>-values in log10 scale. Significance: * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001.</p>
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<p>AUC values resulting from the Wilcoxon tests, with effect magnitude borders. Red line: no effect, blue line: moderate effect.</p>
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<p><math display="inline"><semantics> <mrow> <msub> <mrow> <mi>γ</mi> </mrow> <mrow> <mn>0.5</mn> </mrow> </msub> </mrow> </semantics></math> effect size, with effect magnitude borders.</p>
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<p>(<b>Top</b>) Fraction of singletons. (<b>Bottom</b>) Fraction of reads for top 25 haplotypes. Boxplots and ROC curves.</p>
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<p>(<b>Top</b>) Relative logarithmic evenness at q = 1. (<b>Bottom</b>) Evenness among top 25 haplotypes. Boxplots and ROC curves.</p>
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<p>(<b>Top</b>) Relative logarithmic evenness at q = 1. (<b>Bottom</b>) Evenness among top 25 haplotypes. Boxplots and ROC curves.</p>
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<p>(<b>Left</b>) Quasispecies synonymity as the ratio of frequencies of top phenotype to top haplotype. (<b>Right</b>) Quasispecies synonymity as the ratio of frequencies of top 25 phenotypes to top 25 haplotypes.</p>
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