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26 pages, 7979 KiB  
Article
Machine Learning and Regression Models for Evaluating Ultimate Performance of Cotton Rope-Confined Recycled Aggregate Concrete
by Kittipoom Rodsin, Ali Ejaz, Huaping Wang, Panumas Saingam, Panuwat Joyklad, Wasim Khaliq, Qudeer Hussain and Chichaya Boonmee
Buildings 2025, 15(1), 64; https://doi.org/10.3390/buildings15010064 - 28 Dec 2024
Viewed by 717
Abstract
This study investigates the use of cotton ropes (CRs) as a sustainable and cost-effective substitute for synthetic fiber-reinforced polymers for concrete confinement, offering significant environmental benefits such as lower CO2 emissions and reduced energy consumption. The work evaluates the effectiveness of CR [...] Read more.
This study investigates the use of cotton ropes (CRs) as a sustainable and cost-effective substitute for synthetic fiber-reinforced polymers for concrete confinement, offering significant environmental benefits such as lower CO2 emissions and reduced energy consumption. The work evaluates the effectiveness of CR strips for confining concrete, including scenarios with recycled concrete aggregates (ReCA). Compressive strength improvements varied among specimens, with Specimen I-3F showing a 140.52% increase and Specimen II-3F achieving a 46.67% improvement. Strip configurations for Type I recycled aggregate concrete (RAC) outperformed full wraps on Type II RAC, exemplified by Specimen I-3S’s 84.51% improvement. Ultimate strain enhancements ranged from 915% to 4490.91%, driven by the significant rupture strain of cotton rope confinement. For Type I RAC, complete wrapping significantly outperformed strip configurations by 56%, 50%, and 32% in ultimate strength improvement for 1, 2, and 3 layers, respectively. The confinement ratio, varying from 0.10 to 0.70, greatly influenced the compressive behavior, with compressive strength normalized by unconfined strength increasing consistently with the confinement ratio. A minimum confinement ratio of roughly 0.40 is required to achieve an increasing second part in the compressive behavior. The initial parabolic branch was modeled using Popovics’ formulation, revealing an elastic modulus approximately 20% lower than ACI 318-19 predictions. The second branch was described using a linear approximation, and nonlinear regression analysis produced expressions for key points on the idealized compressive curve, enhancing model accuracy for CR-confined RAC. The R2 values for the nonlinear regression analysis performed on experimental results were greater than 0.90. This study highlights the effectiveness of neural network expressions to predict the compressive strength of CR-confined concrete. A strength reduction (ratio of full wrap and strip wrap height CRs) factor of 0.67 was proposed and used for strip-wrapped specimens. It was seen that the neural network models also predicted the compressive strength of partially wrapped specimens with reasonable accuracy using the strength reduction factor. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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Figure 1

Figure 1
<p>Sample information and strengthening patterns: (<b>a</b>) control, (<b>b</b>) full strengthening, and (<b>c</b>) strip strengthening.</p>
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<p>Typical cotton ropes utilized for strengthening.</p>
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<p>Process of constructing samples: (<b>a</b>) wrapping cotton rope, (<b>b</b>) application of polyester resin on cotton ropes for wrapping next wraps, and (<b>c</b>) confined full wrap samples.</p>
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<p>Adopted test configuration: (<b>a</b>) actual and (<b>b</b>) diagram.</p>
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<p>Observed failure modes in Group 1 and Group 2.</p>
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<p>Observed failure modes in Group 3 and Group 4.</p>
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<p>Typical failures of strip and full wraps.</p>
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<p>Experimental compressive stress vs. strain response: (<b>a</b>) concrete Type I with full configuration, (<b>b</b>) concrete Type II with full configuration, (<b>c</b>) concrete Type I with strip configuration, and (<b>d</b>) concrete Type II with strip configuration.</p>
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<p>The idealized compressive behavior of CR-confined concrete.</p>
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<p>Analysis of compressive strength improvements attained using full and strip cotton FRP patterns for (<b>a</b>) low and (<b>b</b>) high unstrengthen strength samples.</p>
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<p>Analysis of compressive strain improvements attained using full and strip cotton FRP patterns for (<b>a</b>) low and (<b>b</b>) high unconfined strength specimens.</p>
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<p>Graphical demonstration of the confined and unconfined areas along the height of concrete specimens.</p>
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<p>Impact of the confinement ratio on (<b>a</b>) normalized <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>f</mi> </mrow> <mrow> <mi>c</mi> <mi>u</mi> </mrow> </msub> </mrow> </semantics></math>, (<b>b</b>) normalized <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>ϵ</mi> </mrow> <mrow> <mi>c</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math>, (<b>c</b>) normalized <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>f</mi> </mrow> <mrow> <mi>c</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math>, and (<b>d</b>) modulus of the second part.</p>
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<p>Comparison of the elastic modulus of RAC with the ACI 318-19 [<a href="#B79-buildings-15-00064" class="html-bibr">79</a>] recommended value.</p>
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<p>Flowchart to model the stress vs. strain behavior of CR-confined concrete.</p>
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<p>Analysis of experimental and predicted results of (<b>a</b>) the stiffness Z, (<b>b</b>) the compressive strength <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>f</mi> </mrow> <mrow> <mi>c</mi> <mi>u</mi> </mrow> </msub> </mrow> </semantics></math>, (<b>c</b>) the stress <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>f</mi> </mrow> <mrow> <mi>c</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math>, and (<b>d</b>) the strain <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>ϵ</mi> </mrow> <mrow> <mi>c</mi> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>Comparison of the experimental and predicted compressive response of CR-confined RAC for (<b>a</b>) Group 1 specimens (Type I concrete), (<b>b</b>) Group 1 specimens (Type II concrete), (<b>c</b>) Group 2 specimens (Type I concrete), and (<b>d</b>) Group 2 specimens (Type II concrete).</p>
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<p>Comparison of NN-predicted and experimental compressive strength (<b>a</b>) full wrap, (<b>b</b>) strip wrap original, and (<b>c</b>) strip wrap factored.</p>
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16 pages, 885 KiB  
Article
The SOS Response Activation and the Risk of Antibiotic Resistance Enhancement in Proteus spp. Strains Exposed to Subinhibitory Concentrations of Ciprofloxacin
by Agnieszka Zabłotni, Marek Schmidt and Małgorzata Siwińska
Int. J. Mol. Sci. 2025, 26(1), 119; https://doi.org/10.3390/ijms26010119 - 26 Dec 2024
Viewed by 408
Abstract
The widespread and inappropriate use of antibiotics, for therapeutic and prophylactic purposes, has contributed to a global crisis of rapidly increasing antimicrobial resistance of microorganisms. This resistance is often associated with elevated mutagenesis induced by the presence of antibiotics. Additionally, subinhibitory concentrations of [...] Read more.
The widespread and inappropriate use of antibiotics, for therapeutic and prophylactic purposes, has contributed to a global crisis of rapidly increasing antimicrobial resistance of microorganisms. This resistance is often associated with elevated mutagenesis induced by the presence of antibiotics. Additionally, subinhibitory concentrations of antibiotics can trigger stress responses in bacteria, further exacerbating this problem. In the present study, we investigated the effect of low doses of ciprofloxacin on the induction of the SOS response and the subsequent development of antibiotic resistance in Proteus spp. strains. Our findings revealed an increase in mutation frequencies within the studied strains, accompanied by a significant upregulation of recA expression. These observations were consistent across experiments involving two subinhibitory concentrations of ciprofloxacin. To establish mutation frequencies and assess gene expression changes, we utilized the RifS-to-RifR forward mutagenesis assay and RT-qPCR analysis, respectively. Furthermore, employing the microdilution method, we demonstrated that these changes could promote cross-resistance to multiple classes of antibiotics in Proteus spp. clinical strains. This, combined with the recurrent nature of Proteus-associated infections, poses a substantial risk of therapeutic failure. In conclusion, exposure to low doses of ciprofloxacin can significantly impact the susceptibility of Proteus bacilli, not only reducing their sensitivity to ciprofloxacin itself but also fostering resistance to other antibiotic classes. These findings underscore the importance of cautious antibiotic use and highlight the potential consequences of subinhibitory antibiotic exposure in clinical and environmental settings. Full article
(This article belongs to the Section Molecular Microbiology)
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Figure 1
<p>Rifampin resistance mutation frequencies observed after growth in MHB medium with or without ciprofloxacin (in concentrations corresponding to ¼ or ½ MIC). * indicates <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of subinhibitory concentrations of ciprofloxacin on the <span class="html-italic">recA</span> gene expression in <span class="html-italic">P. vulgaris</span> Sm95 cells. Gene expression levels are represented as log2-fold change relative to the control condition. Asterisk indicates the statistical significance as determined using ANOVA followed by Tukey’s test (*** <span class="html-italic">p</span> &lt; 0.001).</p>
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21 pages, 6428 KiB  
Article
UV-C Exposure Enhanced the Cd2+ Adsorption Capability of the Radiation-Resistant Strain Sphingomonas sp. M1-B02
by Yunshi Li, Haoyuan Niu, Shuang Li, Ming Yue and Gaosen Zhang
Microorganisms 2024, 12(12), 2620; https://doi.org/10.3390/microorganisms12122620 - 18 Dec 2024
Viewed by 520
Abstract
Microbial adsorption is a cost-effective and environmentally friendly remediation method for heavy metal pollution. The adsorption mechanism of cadmium (Cd) by bacteria inhabiting extreme environments is largely unexplored. This study describes the biosorption of Cd2+ by Sphingomonas sp. M1-B02, which was isolated [...] Read more.
Microbial adsorption is a cost-effective and environmentally friendly remediation method for heavy metal pollution. The adsorption mechanism of cadmium (Cd) by bacteria inhabiting extreme environments is largely unexplored. This study describes the biosorption of Cd2+ by Sphingomonas sp. M1-B02, which was isolated from the moraine on the north slope of Mount Everest and has a good potential for biosorption. The difference in Cd2+ adsorption of the strain after UV irradiation stimulation indicated that the adsorption reached 68.90% in 24 h, but the adsorption after UV irradiation increased to 80.56%. The genome of strain M1-B02 contained antioxidant genes such as mutL, recA, recO, and heavy metal repair genes such as RS14805, apaG, chrA. Hydroxyl, nitro, and etceteras bonds on the bacterial surface were involved in Cd2+ adsorption through complexation reactions. The metabolites of the strains were significantly different after 24 h of Cd2+ stress, with pyocyanin, L-proline, hypoxanthine, etc., being downregulated and presumably involved in Cd2+ biosorption and upregulated after UV-C irradiation, which may explain the increase in Cd2+ adsorption capacity of the strain after UV-C irradiation, while the strain improved the metabolism of the antioxidant metabolite carnosine, indirectly increasing the adsorption capacity of the strains for Cd2+. Full article
(This article belongs to the Special Issue Role of Microbes in the Remediation of Pollutants in the Environment)
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Figure 1
<p>Screening and determination of the adsorption of Cd<sup>2+</sup> by <span class="html-italic">Sphingomonas</span> sp. M1-B02 ((<b>A</b>), screening of optimal adsorption strain; (<b>B</b>), colonies of the <span class="html-italic">Sphingomonas</span> spp.; (<b>C</b>), physiological characteristics of <span class="html-italic">Sphingomonas</span> sp. M1-B02; (<b>D</b>), Optimal adsorption conditions for <span class="html-italic">Sphingomonas</span> sp. M1-B02).</p>
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<p>Biosorption dynamic curves of <span class="html-italic">Sphingomonas</span> sp. M1-B02 ((<b>A</b>), Direct adsorption of Cd<sup>2+</sup>; (<b>B</b>), adsorption of Cd<sup>2+</sup> after UV stress).</p>
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<p>Electron microscopy comparison of strain M1-B02 before and after Cd<sup>2+</sup> adsorption. (<b>A1</b>,<b>B1</b>,<b>C1</b>) Scanning electron microscopy (SEM) images of strain M1-B02 under different conditions. Red circles highlight regions of Cd<sup>2+</sup>. (<b>A2</b>,<b>B2</b>,<b>C2</b>) Energy-dispersive X-ray spectroscopy (EDS) analysis of corresponding samples showing the elemental composition. The table summarizes the mass percentage (Mass%) and atomic percentage (Atom%) of carbon (C), oxygen (O), and cadmium (Cd). The bottom images in (<b>A2</b>,<b>B2</b>,<b>C2</b>) map the spatial distribution of Cd<sup>2+</sup> (green dots) on the bacterial surface.</p>
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<p>The effect on the ultrastructure of <span class="html-italic">Sphingomonas</span> sp. M1-B02 under FTIR. (<b>A1</b>) corresponds to untreated Sphingomonas sp. M1-B02. (<b>A2</b>) represents the bacterial cells after Cd<sup>2+</sup> adsorption. (<b>A3</b>) shows the cells exposed to UV treatment followed by Cd<sup>2+</sup> adsorption.</p>
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<p>Genome circos of <span class="html-italic">Sphingomonas</span> sp. M1-B02 with DNA repair and heavy metal repair genes.</p>
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<p>Metabolomics analysis of <span class="html-italic">Sphingomonas</span> sp. M1-B02 ((<b>A</b>,<b>B</b>), PCA scoring charts of metabolites; (<b>C</b>), Venn diagram of differential metabolites; (<b>D</b>), KEGG compound classification chart; (<b>E</b>), KEGG pathway statistics chart).</p>
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<p>Volcano plots illustrating the differential metabolites identified in pairwise comparisons of groups (B vs. A and C vs. B). (<b>A</b>) Volcano plot of metabolites in the comparison between group B and group A. (<b>B</b>) Volcano plot of metabolites in the comparison between group C and group B.</p>
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<p>Box plot of distribution of significantly different metabolites in Group A, B, and C. The abundance of nine metabolites was compared across three groups (A, B, and C), with statistical significance indicated above each comparison. The boxplots represent the abundance values for (<b>A</b>) Pyocyanin, (<b>B</b>) Xanthine, (<b>C</b>) Hypoxanthine, (<b>D</b>) L-Proline, (<b>E</b>) Oxidized Glutathione, (<b>F</b>) Glycerol 2-phosphate, (<b>G</b>) 2-Oxoarginine, (<b>H</b>) Carnosine, and (<b>I</b>) N-Succinyl-L,L-2,6-diaminopimelate. Data points are visualized as boxplots, where the middle line represents the median, and the upper and lower bounds of the box correspond to the interquartile range (IQR). Groups are color-coded as A (grey), B (orange), and C (blue). *** represents <span class="html-italic">p</span> &lt; 0.001.</p>
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26 pages, 2977 KiB  
Article
Therapeutic Efficacy of the Inositol D-Pinitol as a Multi-Faceted Disease Modifier in the 5×FAD Humanized Mouse Model of Alzheimer’s Amyloidosis
by Dina Medina-Vera, Antonio J. López-Gambero, Julia Verheul-Campos, Juan A. Navarro, Laura Morelli, Pablo Galeano, Juan Suárez, Carlos Sanjuan, Beatriz Pacheco-Sánchez, Patricia Rivera, Francisco J. Pavon-Morón, Cristina Rosell-Valle and Fernando Rodríguez de Fonseca
Nutrients 2024, 16(23), 4186; https://doi.org/10.3390/nu16234186 - 4 Dec 2024
Viewed by 1097
Abstract
Background/Objectives: Alzheimer’s disease (AD), a leading cause of dementia, lacks effective long-term treatments. Current therapies offer temporary relief or fail to halt its progression and are often inaccessible due to cost. AD involves multiple pathological processes, including amyloid beta (Aβ) deposition, insulin resistance, [...] Read more.
Background/Objectives: Alzheimer’s disease (AD), a leading cause of dementia, lacks effective long-term treatments. Current therapies offer temporary relief or fail to halt its progression and are often inaccessible due to cost. AD involves multiple pathological processes, including amyloid beta (Aβ) deposition, insulin resistance, tau protein hyperphosphorylation, and systemic inflammation accelerated by gut microbiota dysbiosis originating from a leaky gut. Given this context, exploring alternative therapeutic interventions capable of addressing the multifaceted components of AD etiology is essential. Methods: This study suggests D-Pinitol (DPIN) as a potential treatment modifier for AD. DPIN, derived from carob pods, demonstrates insulin-sensitizing, tau hyperphosphorylation inhibition, and antioxidant properties. To test this hypothesis, we studied whether chronic oral administration of DPIN (200 mg/kg/day) could reverse the AD-like disease progression in the 5×FAD mice. Results: Results showed that treatment of 5×FAD mice with DPIN improved cognition, reduced hippocampal Aβ and hyperphosphorylated tau levels, increased insulin-degrading enzyme (IDE) expression, enhanced pro-cognitive hormone circulation (such as ghrelin and leptin), and normalized the PI3K/Akt insulin pathway. This enhancement may be mediated through the modulation of cyclin-dependent kinase 5 (CDK5). DPIN also protected the gut barrier and microbiota, reducing the pro-inflammatory impact of the leaky gut observed in 5×FAD mice. DPIN reduced bacterial lipopolysaccharide (LPS) and LPS-associated inflammation, as well as restored intestinal proteins such as Claudin-3. This effect was associated with a modulation of gut microbiota towards a more balanced bacterial composition. Conclusions: These findings underscore DPIN’s promise in mitigating cognitive decline in the early AD stages, positioning it as a potential disease modifier. Full article
(This article belongs to the Section Lipids)
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Graphical abstract

Graphical abstract
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<p>Anhedonic and anxiety-like behavior after 18 weeks of D-Pinitol treatment in 5×FAD mice. (<b>A</b>) Experimental procedure where mice were supplemented with D-Pinitol (DPIN, 200 mg/kg/day) ad libitum in their drinking water for 18 weeks. All animals were about 14 weeks of age (3.5 months old) at the beginning of the experiment. Experimental groups: non-transgenic (Non-Tg-DPIN; n = 16; 7 males; 9 females) and transgenic 5×FAD (5×FAD-DPIN; n = 17; 10 males; 7 females) mice. Control groups of both genotypes: non-transgenic (Non-Tg-CTR; n = 16; 7 males; 9 females), and 5×FAD transgenic mice (5×FAD-CTR; n = 14; 7 males; 7 females) received water as a vehicle solution. Animal control weight (CW) was recorded at 3.5–5.5–6.5–7.5 months of age). Behavioral tests were performed at baseline point (3.5 months old) and after 16 weeks with DPIN treatment (8 month old): sucrose preference test (SPT) and elevated plus maze (EPM). The Morris water maze (MWM) behavioral test began at 7.5 months of age and was finalized at 8 months of age. The animals were sacrificed at 32 weeks of age (8 months) and tissue samples were rapidly removed. (<b>B</b>) Body weight in grams (g). Two-way ANOVA test: (*) <span class="html-italic">p</span>&lt; 0.05 genotype effect; (#) <span class="html-italic">p</span>&lt; 0.05 age effect. (<b>C</b>) Sucrose preference test (%) at the baseline point and after 18 weeks of DPIN treatment. Dashed lines represent the criterion for anhedonia ≤ 65%. Two-way ANOVA and Tukey’s test: (##) <span class="html-italic">p</span> &lt; 0.01 between 5×FAD (5×FAD-CTR and 5×FAD-DPIN) compared to Non-Tg mice (Non-Tg-CTR and Non-Tg-DPIN) at the baseline point. (<b>D</b>) Time spent in seconds (s) in the open arms at the baseline point and after 18 weeks of DPIN treatment in the EPM. Two-way ANOVA and Tukey’s test: (##) <span class="html-italic">p</span> &lt; 0.01 between 5×FAD (5×FAD-CTR and 5×FAD-DPIN) compared to Non-Tg mice (Non-Tg-CTR and Non-Tg-DPIN) at the baseline point and after 18 weeks of DPIN. (<b>E</b>) Total distance moved in centimeters (cm) at the baseline point and after 18 weeks of DPIN treatment in the EPM test. Results are shown as the mean ± SEM. Two-way ANOVA and Tukey’s test from (<b>C</b>–<b>E</b>): (*) <span class="html-italic">p</span> &lt; 0.05 and (**) <span class="html-italic">p</span> &lt; 0.01 in the 5×FAD mice after 18 weeks of DPIN treatment.</p>
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<p>Assessment of cognitive function by Morris water maze after 18 weeks of D-Pinitol treatment. Data is presented as the mean ± SEM. Two-way ANOVA + Tukey’s test for multiple comparisons were performed. (<b>A</b>) Path length in centimeters (cm) (* <span class="html-italic">p</span> &lt; 0.05) during the habituation training. (<b>B</b>) During the visual training (2 days, visible platform; 4 trials/day), all experimental groups diminished the escape latency (s) on the second day (# <span class="html-italic">p</span> &lt; 0.05 day 2 vs. day 1). (<b>C</b>) Non-Tg-DPIN and 5×FAD-DPIN showed a reduced cumulative distance (cm) to reach the platform on the second training day (* <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01). (<b>D</b>) On acquisition training, each subject received six trials per acquisition day (4 days, hidden platform; 6 trials/day). The escape latency (s) was decreased on the last and the fourth training day (* <span class="html-italic">p</span> &lt; 0.05), (<b>E</b>) being more significant in the Non-Tg-DPIN experimental group (* <span class="html-italic">p</span> &lt; 0.05). (<b>F</b>) The cumulative distance (cm) to reach the hidden platform was also evaluated and showed a similar profile to the escape latency outcomes on acquisition training. (<b>G</b>) On memory retention test 1 (without platform; 1 trial/day), all animals demonstrated similar measures of time (s) spent searching the target quadrant (Q1) (# <span class="html-italic">p</span> &lt; 0.05 Q1 vs. the other quadrants). (<b>H</b>) After 48 h, each subject received six trials for one day on the reversal spatial learning day (1 day, hidden platform; 6 trials/day). 5×FAD-DPIN reached the new hidden platform position significantly faster (s) than 5×FAD-CTR (* <span class="html-italic">p</span> &lt; 0.05) and (<b>I</b>) with less distance traveled (cm) (* <span class="html-italic">p</span> &lt; 0.05). (<b>J</b>) On memory retention test 2, 5×FAD-CTR exhibited impaired long-term spatial memory as measured by less time spent (s) in the new position of the platform (Q3) and persisted for a longer period on the Q1 position that they learned on the acquisition training compared to Non-Tg-CTR (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01). (<b>K</b>,<b>L</b>) shows a graphical representation of the path traveled by each group during the first and second memory retention tests.</p>
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<p>Regulation of hormones related to insulin and metabolic health after 18 weeks of D-Pinitol treatment. Plasma levels (pg/mL) of (<b>A</b>) insulin, (<b>B</b>) glucagon, (<b>C</b>) insulin/glucagon ratio, (<b>D</b>) plasminogen activator inhibitor-1 (PAI-1), (<b>E</b>) leptin, and (<b>F</b>) ghrelin. Histograms represent mean ± SEM (n = 10). Two-way ANOVA and Tukey’s test for multiple comparisons were performed: (*) <span class="html-italic">p</span> &lt; 0.05, (**) <span class="html-italic">p</span> &lt; 0.01, and (***) <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Activation of the hippocampal PI3K/Akt pathway after 18 weeks of D-Pinitol treatment. Western blot analysis of the phosphorylation status of the p85 regulatory domain of (<b>A</b>) the phosphatidylinositol 3 kinase (p85-PI3K) phosphorylation at tyrosine 607, (<b>B</b>) and the quantity of total p85-PI3K, (<b>C</b>) protein Kinase B (Akt) phosphorylation on serine 473, (<b>D</b>) and the amount of total Akt, (<b>E</b>) glycogen synthase kinase 3β (GSK-3β) phosphorylation at serine 9, (<b>F</b>) and the amount of total GSK-3β, (<b>G</b>) cyclin-dependent kinase 5 (CDK5) subunits p25 (<b>H</b>) and p35, (<b>I</b>) and the total quantity of CDK5 on Non-Tg and 5×FAD with (DPIN) and without (controls = CTR) D-Pinitol treatment. (<b>J</b>) The blots represent all bands. Molecular weights (MWs) are expressed in kilodaltons (kDa). The corresponding expression of γ-Adaptin is shown as a loading control per lane. All samples were obtained simultaneously and processed in parallel. Histograms represent mean ± SEM (n = 4). Two-way ANOVA and Tukey’s test for multiple comparisons were performed: (*) <span class="html-italic">p</span> &lt; 0.05, (**) <span class="html-italic">p</span> &lt; 0.01, (***) <span class="html-italic">p</span> &lt; 0.001 and (****) <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Amyloid beta clearance and tau dephosphorylation in the hippocampus of 5×FAD mice after 18 weeks of D-Pinitol treatment. Western blot analysis of (<b>A</b>) tau [AT8] phosphorylation on serine 202 and threonine 205, (<b>B</b>) tau [AT100] phosphorylation on threonine 212 and serine 214, (<b>C</b>) the total amount of tau, and (<b>D</b>) insulin-degrading enzyme (IDE) on Non-Tg and 5×FAD with (DPIN) and without (controls = CTR) D-Pinitol treatment. (<b>E</b>) The blots represent all bands. Molecular weights (MW) are expressed in kilodaltons (kDa). The corresponding expression of γ-Adaptin is shown as a loading control per lane. All samples were obtained simultaneously and processed in parallel. Histograms (<b>A</b>–<b>D</b>) represent mean ± SEM (n = 4). (<b>F</b>,<b>H</b>) Images correspond to representative immunostaining of Aβ 1-40 (Aβ 1-40) and Aβ 1-42 (Aβ 1-42) densitometry in the hippocampus of Non-Tg and 5×FAD controls (CTR) and after 18 weeks of continuous drinking treatment with D-Pinitol (DPIN). Scale bar: 100 µm. Histograms in (<b>G</b>,<b>I</b>) represent the mean ± SEM of the number of Aβ from all samples per group (n = 8). Two-way ANOVA and Tukey’s test for multiple comparisons were performed: (*) <span class="html-italic">p</span> &lt; 0.05, (**) <span class="html-italic">p</span> &lt; 0.01, (***) <span class="html-italic">p</span> &lt; 0.001 and (****) <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Effects of D-Pinitol treatment on proinflammatory cytokine levels in plasma and small intestine. mRNA expression (in relative units) in the small intestine of (<b>A</b>) Claudin 3, (<b>B</b>) occludin, and (<b>C</b>) Toll-like receptor 4 (TLR4). Graphs (<b>D</b>–<b>G</b>) correspond to plasma levels (pg/mL) of (<b>D</b>) LPS plasma level (pg/mL) and the pro-inflammatory cytokines (<b>E</b>) Interleukin 5 (IL-5), (<b>F</b>) Interleukin 6 (IL-6), (<b>G</b>) Keratinocyte chemoattractant (KC)/human growth-regulated oncogene (GRO), and (<b>H</b>) Tumor necrosis factor alpha (TNF-α). Histograms represent mean ± SEM (n = 7) in the groups Non-Tg and 5×FAD with (DPIN) and without (controls = CTR) D-Pinitol treatment. Two-way ANOVA and Tukey’s test for multiple comparisons were performed: (*) <span class="html-italic">p</span> &lt; 0.05, (**) <span class="html-italic">p</span> &lt; 0.01, (***) <span class="html-italic">p</span> &lt; 0.001, and (****) <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Differences in fecal microbiota by genotype and D-Pinitol treatment in Alzheimer’s transgenic and Non-Tg mice. (<b>A</b>) Taxonomic compositions obtained from the analysis of DNA sequences from fecal microbiota samples using QIIME2 (<a href="https://qiime2.org/" target="_blank">https://qiime2.org/</a>, accessed on 1 January 2024) were compared at the family level in terms of relative frequency (%). The sequences were grouped into operational taxonomic units (OTUs) using a 97% similarity threshold. Significant differences for ‘Genotype × Treatment’ variables have been detected mostly in seven families: (<b>B</b>) Prevotellaceae, (<b>C</b>) Eggerthellaceae, (<b>D</b>) Streptococcaceae, (<b>E</b>) Marinifilaceae, (<b>F</b>) Lachnospiraceae, (<b>G</b>) Acholeplasmataceae, and (<b>H</b>) Enterococcaceae. Histograms represent relative abundance (%) in the groups Non-Tg and 5×FAD with (DPIN) and without (controls = CTR) D-Pinitol treatment. Statistical inference was performed using the Kruskal–Wallis test and Mann–Whitney U for each OTU, allowing for comparisons and identification of significant differences between groups: (*) <span class="html-italic">p</span> &lt; 0.05, (**) <span class="html-italic">p</span> &lt; 0.01, (***) <span class="html-italic">p</span> &lt; 0.001, and (****) <span class="html-italic">p</span> &lt; 0.0001.</p>
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12 pages, 1794 KiB  
Article
Enhanced Multi-Stress Tolerance in Escherichia coli via the Heterologous Expression of Zymomonas mobilis recA: Implications for Industrial Strain Engineering
by Yupaporn Phannarangsee, Haruthairat Kitwetcharoen, Sudarat Thanonkeo, Preekamol Klanrit, Mamoru Yamada and Pornthap Thanonkeo
Fermentation 2024, 10(12), 617; https://doi.org/10.3390/fermentation10120617 - 2 Dec 2024
Cited by 1 | Viewed by 727
Abstract
This study investigated the role of the Zymomonas mobilis recA gene in conferring stress resistance when expressed in Escherichia coli. The recA gene was cloned and expressed in E. coli BL21(DE3), producing a 39 kDa polypeptide. The results of comparative analyses demonstrated [...] Read more.
This study investigated the role of the Zymomonas mobilis recA gene in conferring stress resistance when expressed in Escherichia coli. The recA gene was cloned and expressed in E. coli BL21(DE3), producing a 39 kDa polypeptide. The results of comparative analyses demonstrated that the recombinant strain significantly enhanced survival rates under various stress conditions. In oxidative stress tests, the recombinant E. coli pET-22b(+)-recA exhibited superior survival at 3 mM and 5 mM H2O2 concentrations. Heat stress experiments at 50 °C and 55 °C revealed increased survival for the recombinant strain. Under ethanol stress, particularly at 20% (v/v), E. coli pET-22b(+)-recA displayed higher viability than controls. UV-C exposure tests further highlighted the protective effect of recA expression, with the recombinant strain maintaining viability after 60 min of exposure, while control strains showed no survival. These results indicate that the Z. mobilis recA gene product enhances resistance to oxidative, heat, ethanol, and UV-C stresses when expressed in E. coli. This study elucidates the broad stress-protective functions of the RecA protein across bacterial species and suggests potential applications in developing stress-tolerant bacterial strains for biotechnological purposes. Full article
(This article belongs to the Special Issue Fermentation: 10th Anniversary)
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Figure 1
<p>SDS-PAGE analysis of the expression of <span class="html-italic">Z. mobilis recA</span> gene in <span class="html-italic">E. coli</span>. Protein isolated from <span class="html-italic">E. coli</span> BL21(DE3) without IPTG induction (BL−) and with IPTG induction (BL+); <span class="html-italic">E. coli</span> BL21(DE3) harboring an empty pET-22b(+) vector without IPTG induction (pET−) and with IPTG induction (pET+); <span class="html-italic">E. coli</span> BL21(DE3) harboring a recombinant plasmid pET-22b(+)-recA without IPTG induction (pET/recA−) and with IPTG induction (pET/recA+); M, protein marker; and arrowhead, RecA protein.</p>
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<p>Cell survival (<b>A</b>) and colony formation ability (<b>B</b>) of <span class="html-italic">E. coli</span> under H<sub>2</sub>O<sub>2</sub> treatment at 3 mM and 5 mM. Wild-type strain, wt <span class="html-italic">E. coli</span> BL21(DE3); pET, <span class="html-italic">E. coli</span> BL21(DE3) harboring an empty pET-22b(+) vector; and pET/recA, <span class="html-italic">E. coli</span> BL21(DE3) harboring a recombinant plasmid pET-22b(+)-recA. Bars represent mean ± standard deviation (SD) values from two independent experiments, each with three replications. Different letters above the bars indicate statistically significant differences between each treatment (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Cell survival (<b>A</b>) and colony formation ability (<b>B</b>) of <span class="html-italic">E. coli</span> under heat stress. Wild-type strain, wt <span class="html-italic">E. coli</span> BL21(DE3); pET, <span class="html-italic">E. coli</span> BL21(DE3) harboring an empty pET-22b(+) vector; and pET/recA, <span class="html-italic">E. coli</span> BL21(DE3) harboring a recombinant plasmid pET-22b(+)-recA. Bars represent mean ± standard deviation (SD) values from two independent experiments, each with three replications. Different letters above the bars indicate statistically significant differences between each treatment (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Cell survival (<b>A</b>) and colony formation ability (<b>B</b>) of <span class="html-italic">E. coli</span> under ethanol stress. Wild-type strain, wt <span class="html-italic">E. coli</span> BL21(DE3); pET, <span class="html-italic">E. coli</span> BL21(DE3) harboring an empty pET-22b(+) vector; and pET/recA, <span class="html-italic">E. coli</span> BL21(DE3) harboring a recombinant plasmid pET-22b(+)-recA. Bars represent mean ± standard deviation (SD) values from two independent experiments, each with three replications. Different letters above the bars indicate statistically significant differences between each treatment (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Cell survival (<b>A</b>) and colony formation ability (<b>B</b>) of <span class="html-italic">E. coli</span> under UV-C stress. Wild-type strain, wt <span class="html-italic">E. coli</span> BL21(DE3); pET, <span class="html-italic">E. coli</span> BL21(DE3) harboring an empty pET-22b(+) vector; and pET/recA, <span class="html-italic">E. coli</span> BL21(DE3) harboring a recombinant plasmid pET-22b(+)-recA. Bars represent mean ± standard deviation (SD) values from two independent experiments, each with three replications. Different letters above the bars indicate statistically significant differences between each treatment (<span class="html-italic">p</span> &lt; 0.05).</p>
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14 pages, 5585 KiB  
Article
Study on Ice Temperature Fields and Borehole Closure Rates During Thermal Ice Drilling
by Yu Wang, Youhong Sun, Lin Liu, Xiao Li, Bing Li, Yazhou Li, Da Gong, Pavel Talalay and Xiaopeng Fan
Water 2024, 16(23), 3460; https://doi.org/10.3390/w16233460 - 1 Dec 2024
Viewed by 594
Abstract
Thermal ice drilling technology is extensively used in drilling operations such as temperature measurement holes and subglacial water environment investigations in Antarctica owing to its advantages of compactness, light weight, and ease of operation. However, thermal drilling disturbs the initial temperature of the [...] Read more.
Thermal ice drilling technology is extensively used in drilling operations such as temperature measurement holes and subglacial water environment investigations in Antarctica owing to its advantages of compactness, light weight, and ease of operation. However, thermal drilling disturbs the initial temperature of the surrounding ice, making it impossible to obtain the true ice temperature through a borehole within a short period. Meltwater refreezing also causes the borehole to shrink and close, posing a threat to drilling safety. Therefore, obtaining an accurate characterization of the temperature field around the hole and assessing the meltwater refreezing rate are crucial for determining the appropriate temperature measurement duration and optimizing drilling parameters. To address this issue, a temperature measurement platform for the ice surrounding the borehole was developed. Experimental investigations were conducted to analyze the temperature fields during thermal drilling using both small-diameter thermal heads and RECoverable Autonomous Sonde (RECAS) thermal heads. This study clarifies the temperature field changes in the surrounding ice during and after thermal drilling. It also elucidates the effects of parameters such as the ice temperature, thermal head heating power, and thermal head diameter on the temperature field around the hole and estimates the meltwater refreezing rate inside the borehole. The results indicated that the temperature of the surrounding ice peaked approximately 5–7 h after drilling and subsequently decreased and returned to the original temperature within 48 h. The thermal disturbance radius in the surrounding ice was approximately 1.1 to 1.7 times the borehole radius when the thermal head passed through. However, after the thermal head passed, the thermal disturbance radius continued to expand owing to the heat released from meltwater refreezing, reaching 9.7 to 12.5 times the borehole radius. The average meltwater refreezing rate, estimated from temperature measurement tests at −16 °C, was 3.6 mm/h. Full article
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<p>Structure of temperature field measurement platform for small-diameter thermal drilling.</p>
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<p>Layout of temperature sensors in ice samples. (<b>a</b>) The vertical temperature sensor chain position; (<b>b</b>) the radial temperature sensor chain position from the top view.</p>
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<p>Temperature field measurement test of RECAS thermal drilling.</p>
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<p>Large-diameter thermal drilling process. (<b>a</b>) The experimental drill with an RECAS thermal head; (<b>b</b>) drilling initiation; (<b>c</b>) the water level at the upper surface of the borehole was maintained throughout the drilling.</p>
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<p>Ice temperature variations over time along the longitudinal direction at different distances from the borehole center. (<b>a</b>–<b>f</b>) The data used are from T1~T6 temperature chains (as shown in <a href="#water-16-03460-f003" class="html-fig">Figure 3</a>) located 48 mm, 76 mm, 104 mm, 132 mm, 160 mm, and 188 mm away from the center of the borehole, respectively. (The initial ice temperature is −18 °C, and the power of the thermal head is 1513 W.).</p>
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<p>Variations in the ice temperature over time along the horizontal direction at a 385 mm depth.</p>
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<p>Thermal disturbance boundaries in ice under different experimental conditions. (The solid point shows the testing data, and the solid line represents the fitted curve using the Expdecl function.).</p>
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<p>Two-dimensional ice temperature contour maps for various radial positions around the borehole at different time points. (<b>a</b>) t = 3.3 h; (<b>b</b>) t = 7.3 h; (<b>c</b>) t = 15 h; (<b>d</b>) t = 20 h; (<b>e</b>) t = 25 h; and (<b>f</b>) t = 40 h.</p>
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<p>Ice temperature variations over time (r = 120 mm).</p>
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<p>Variations in borehole radii and closure rates over time.</p>
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23 pages, 71327 KiB  
Article
In Vitro and Computational Response of Differential Catalysis by Phlebia brevispora BAFC 633 Laccase in Interaction with 2,4-D and Chlorpyrifos
by Alan Rolando Ayala Schimpf, Laura Ester Ortellado, Marcelo Daniel Gamarra, María Isabel Fonseca and Pedro Darío Zapata
Int. J. Mol. Sci. 2024, 25(23), 12527; https://doi.org/10.3390/ijms252312527 - 22 Nov 2024
Viewed by 638
Abstract
Enzymes secreted by white rot fungi (WRF), such as laccase, offer a promising approach for the treatment of hazardous xenobiotic compounds. This study conducted a comprehensive analysis of the impact of the pesticides 2,4-dichlorophenoxyacetic acid (2,4-D) and chlorpyrifos on the laccase of Phlebia [...] Read more.
Enzymes secreted by white rot fungi (WRF), such as laccase, offer a promising approach for the treatment of hazardous xenobiotic compounds. This study conducted a comprehensive analysis of the impact of the pesticides 2,4-dichlorophenoxyacetic acid (2,4-D) and chlorpyrifos on the laccase of Phlebia brevispora BAFC 633 through in vitro and bioinformatics analyses. The fungal strain was shown to be tolerant to both pesticides, with notable morphological and ultrastructural alterations in the mycelium. Laccase activity and two isoenzymes (53 and 70 kDa) were detected in all initial treatments. The laccase was concentrated for subsequent catalytic evaluation in the presence of both pesticides, showing high stability at a pH of 3.6 and a temperature range of 50–60 °C. The lacI gene, corresponding to this laccase, was modeled, and its structure revealed a defined catalytic pocket validated with a drug score of 0.61. Molecular docking estimated affinity energies of −5.06 and −9.41 Kcal mol−1 for 2,4-D and chlorpyrifos, respectively. Molecular Mechanics Poisson–Boltzmann Surface Area (MM/PBSA) analysis through 250 ns of molecular dynamics revealed stronger hydrophobic interactions of laccase with chlorpyrifos and highlighted the importance of residue His460 in stabilizing both complexes. Understanding the impact of these agrochemicals on the catalytic function of laccase is crucial for developing future biotechnological strategies involving this enzyme. Full article
(This article belongs to the Section Molecular Biology)
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Graphical abstract

Graphical abstract
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<p>Growth pattern of <span class="html-italic">P. brevispora</span> BAFC 633 and detection of laccase activity in solid media supplemented with different concentrations of 2,4-dichlorophenoxyacetic acid (2,4-D) and chlorpyrifos (CP) (<b>A</b>). Macroscopic view (frontal) of mycelial appearance on solid medium containing 12.7 g L<sup>−1</sup> malt extract and 20 g L<sup>−1</sup> agar (MEA) (<b>left</b>) and laccase secretion on MEA with 2,6-dimethoxyphenol (DMP) (<b>right</b>), in the absence of pesticides (<b>a</b>,<b>b</b>); with 2,4-D at [1 mg L<sup>−1</sup>] (<b>c</b>,<b>d</b>), [10 mg L<sup>−1</sup>] (<b>g</b>,<b>h</b>), [100 mg L<sup>−1</sup>] (<b>k</b>,<b>l</b>), and [1000 mg L<sup>−1</sup>] (<b>o</b>,<b>p</b>); and with chlorpyrifos at [0.1 mg L<sup>−1</sup>] (<b>e</b>,<b>f</b>), [1 mg L<sup>−1</sup>] (<b>i</b>,<b>j</b>), [10 mg L<sup>−1</sup>] (<b>m</b>,<b>n</b>), and [100 mg L<sup>−1</sup>] (<b>q</b>,<b>r</b>). (<b>B</b>) Modeling fungal growth of <span class="html-italic">P. brevispora</span> BAFC 633 in solid medium. (<b>C</b>) Enzymatic profile obtained through SDS-PAGE and incubated with DMP for <span class="html-italic">P. brevispora</span> BAFC 633. (1) 2,4-D [1 mg L<sup>−1</sup>]. (2) 2,4-D [100 mg L<sup>−1</sup>]. (3) <span class="html-italic">P. brevispora</span> BAFC 633 without pesticides. (4) CP [100 mg L<sup>−1</sup>]. (5) CP [1 mg L<sup>−1</sup>]. (6) CP [0.1 mg L<sup>−1</sup>]. (MW): molecular weight.</p>
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<p>Ultrastructural analysis of <span class="html-italic">P. brevispora</span> BAFC 633 in the presence of pesticides. (<b>A</b>) Scanning electron micrographs of <span class="html-italic">P. brevispora</span> BAFC 633 grown on MEA medium: (<b>a</b>) hyphae in control conditions without pesticides, (<b>b</b>) hyphae in the presence of 2,4-dichlorophenoxyacetic acid (2,4-D) [1000 mg L<sup>−1</sup>], (<b>c</b>) hyphae in the presence of chlorpyrifos (CP) [10 mg L<sup>−1</sup>]; (<b>d</b>) basidiospores in control conditions without pesticides, (<b>e</b>) basidiospores in the presence of 2,4-D [1000 mg L<sup>−1</sup>], and (<b>f</b>) basidiospores in the presence of chlorpyrifos [10 mg L<sup>−1</sup>]. (<b>B</b>) Comparison of mean diameters of hyphae and spores (<b>C</b>) of <span class="html-italic">P. brevispora</span> BAFC 633 with 12 days of incubation in medium with 2,4-D, CP, and their control (without pesticides). Mean diameters with different letters indicate a significant difference (<span class="html-italic">p</span> &lt; 0.05). For each image obtained via SEM, 50 measurements were taken using the ImageJ 1.46r (National Institutes of Health (NIH) Bethesdam MD, EE.UU) program, and statistical analysis was performed with Statgraphics Centurion XVI.I (Statgraphics Technologies, The Plains, VA, USA).</p>
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<p>Effect of pesticides on laccase activity. (<b>a</b>–<b>d</b>) Effect of pH and temperature on laccase activity in the concentrated enzyme fraction of <span class="html-italic">P. brevispora</span> BAFC 633, after its production in the absence (left) and presence (right) of Cu<sup>2+</sup> [1 mM] (●), and its effect in the presence of 2,4-D (■) and chlorpyrifos (CP) (▲). Data are expressed as relative enzyme activity (%), with error bars representing standard deviations of triplicate measurements. Statistical analysis (ANOVA followed by Tukey’s post hoc test) revealed no significant differences (<span class="html-italic">p</span> &gt; 0.05) between treatments at different pH and temperature conditions. (<b>e</b>) Effect of pesticides on laccase activity achieved under optimal pH and temperature conditions. Data are represented as means ± standard deviations (SDs) of three replicates. Means with different letters are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05) according to a <span class="html-italic">t</span>-test. (<b>f</b>) Enzyme profile obtained through SDS-PAGE and incubated with DMP for the purified laccase fraction of <span class="html-italic">P. brevispora</span> BAFC 633. Lanes 1–6 represent laccase fractions from different independent inoculations.</p>
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<p>Structural representation of the catalytic site of laccase <span class="html-italic">lacI</span>, showing the key amino acids involved in copper ion coordination and ligand interaction at the T1 site.</p>
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<p>Structural analysis of the catalytic site T1 in <span class="html-italic">lacI</span> from <span class="html-italic">P. brevispora</span> BAFC 633. (<b>A</b>) Ideal interactions calculated at the T1 site (<b>left</b>). Sites aligned with the ABTS crystal of the laccase structure of the bacterium <span class="html-italic">Bacillus subtilis</span> encode PDB:3ZDW (<b>right</b>). The red spheres are electron acceptor sites, and the brown spheres are aromatic sites. (<b>B</b>) Main ligand interaction sites identified in <span class="html-italic">lacI</span> of <span class="html-italic">P. brevispora</span> BAFC 633. (<b>C</b>) Surface of the T1 catalytic pocket; images were obtained from DoGSiteScorer. (<b>D</b>) Comparison between the best poses with the co-crystallized 3ZDW structure. The ligand in the docking complex is depicted in green and 3ZDW in red. Images were obtained from Chimera 1.14.</p>
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<p>Structural representation of chlorpyrifos and 2,4-d pesticides used in molecular docking analyses (red = oxygen, blue = nitrogen, green = sulfur).</p>
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<p>Interactions of <span class="html-italic">lacI</span> from <span class="html-italic">P. brevispora</span> BAFC 633 with chlorpyrifos (top) and 2,4-dichlorophenoxyacetic acid (2,4-D) (bottom). The interacting amino acid residues in each ligand–receptor complex are shown in 2D: (<b>a</b>) <span class="html-italic">lacI</span>–chlorpyrifos and (<b>b</b>) <span class="html-italic">lacI</span>-2,4-D. The 3D surface view represents the binding pocket in each complex.</p>
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<p>(<b>A</b>) Representation of the root mean square deviation (RMSD) during the DM simulation at 250 ns of <span class="html-italic">lacI</span> with 2,4-dichlorophenoxyacetic acid (2,4-D) (<span style="color:red">▬</span>) and chlorpyrifos (CP) (<span style="color:#4472c4">▬</span>). (<b>B</b>) Conformational transformation of complexes in the <span class="html-italic">lacI</span>-2,4-D system (top) and <span class="html-italic">lacI</span>-CP (bottom) during the MDS for 250 ns. The red and blue circles follow the position of each ligand on the laccase receptor during the trajectory.</p>
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<p>MDs simulation trajectory plots of <span class="html-italic">lacI</span> along with 2,4-dichlorophenoxyacetic acid (<span style="color:red">▬</span>) and chlorpyrifos (<span style="color:#4472c4">▬</span>) during 250 ns simulations. (<b>a</b>) The Cα root mean square fluctuation (RMSF) values of each amino acid residue for <span class="html-italic">lacI</span> in MDs simulations. (<b>b</b>) Solvent-accessible surface (SASA). (<b>c</b>) The number of hydrogen bonds formed during the protein–ligand interaction. (<b>d</b>,<b>e</b>) Structure representative of the behavior in the MDs simulation of the <span class="html-italic">lacI</span>-2,4D complex (<b>d</b>) and <span class="html-italic">lacI</span>–chlorpyrifos (<b>e</b>) at the beginning and at the end of 250 ns. The initial (pink structure) and final (green structure) conformations of the proteins are visualized, as well as the initial (purple structure) and final position (lime green structure) of the ligands. All imaging was performed in VMD. (<b>f</b>) Details of the results of MM/PBSA calculations on the complexes expressed in Kcal mol<sup>−1</sup>.</p>
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<p>Protein–ligand interactions in <span class="html-italic">lacI</span>. (<b>a</b>) <span class="html-italic">lacI</span> residues interacting with chlorpyrifos. (<b>b</b>) Interactions with chlorpyrifos that were maintained for more than 10%. (<b>c</b>) <span class="html-italic">lacI</span> residues interacting with 2,4-D. (<b>d</b>) Interactions with 2,4-D that were maintained for more than 10%. Violet circles represent hydrophobic interactions, and green circles represent hydrogen bonds. (<b>e</b>) <span class="html-italic">lacI</span> residues interacting with chlorpyrifos in the representative MDs structure. (<b>f</b>) <span class="html-italic">lacI</span> residues interacting with 2,4-D in the representative MDs structure.</p>
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15 pages, 1906 KiB  
Article
Bacterial Communities Nodulating Lupinus cosentinii Gus. and Their Inputs in the Worldwide Phylogeography of Lupine Endosymbionts
by Mokhtar Rejili, Mohamed Ali Benabderrahim and Mohamed Mars
Soil Syst. 2024, 8(4), 119; https://doi.org/10.3390/soilsystems8040119 - 17 Nov 2024
Viewed by 798
Abstract
Genetic variability in bacterial populations that nodulate Lupinus cosentinii in Tunisia was investigated. Phylogenetic studies of 40 isolates using recA partial sequences categorized them into three clusters within the Bradyrhizobium genus. Twenty-three strains selected from the three clusters were thoroughly examined through housekeeping [...] Read more.
Genetic variability in bacterial populations that nodulate Lupinus cosentinii in Tunisia was investigated. Phylogenetic studies of 40 isolates using recA partial sequences categorized them into three clusters within the Bradyrhizobium genus. Twenty-three strains selected from the three clusters were thoroughly examined through housekeeping genes (recA, glnII and rpoB) multilocus sequence analysis (MLSA). Our results showed that 23 representative strains were distributed in five distinct clusters, with 13 strains belonging to Bradyrhizobium canariense BTA-1T/Bradyrhizobium lupini USDA3051T (10 strains) and Bradyrhizobium hipponense aSej3T (three strains) lineages. Interestingly, eight strains occupied a separate position and could belong to two putative novel Bradyrhizobium species. The nodC phylogeny placed the 23 strains within three symbiovars: genistearum (19 strains), lupini (two strains) and, for the first time, the symbiovar cyanophyllae (two strains). Based on the worldwide phylogeography of rhizobial symbionts nodulating lupine (14 species), our results reported that eight species occurred in more than one continent, and six species were specific for one continent, e.g., Bradyrhizobium rifense, Bradyrhizobium diazoefficiens, Phyllobacterium sp. and Devosia sp. were specific to the African continent, the Bradyrhizobium iriomotense/Bradyrhizobium stylosanthis group to America, and Bradyrhizobium valentinum to the European continent. Full article
(This article belongs to the Special Issue Microbial Community Structure and Function in Soils)
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<p>Maximum likelihood phylogenetic tree of <span class="html-italic">L. cosentinii</span> strains based on housekeeping <span class="html-italic">recA</span> gene sequences. Bootstrap values were calculated for 1000 replications and are indicated at the nodes. Scale bars represent 5% nucleotide divergence. Inverted black triangles (▼) indicate <span class="html-italic">L. cosentinii</span> endosymbionts. Abbreviation: B., <span class="html-italic">Bradyrhizobium</span>.</p>
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<p>Maximum likelihood phylogenetic tree of <span class="html-italic">L. cosentinii</span> strains based on concatenated housekeeping <span class="html-italic">rec</span>A (450 bp), <span class="html-italic">gln</span>II (550 bp) and <span class="html-italic">rpoB</span> (800 bp) gene sequences. Bootstrap values were calculated for 1000 replications and and those greater than 70% are indicated at the internodes. Scale bars represent 5% nucleotide divergence. Black diamonds (◆) indicate <span class="html-italic">L. cosentinii</span> endosymbionts. Abbreviation: B., <span class="html-italic">Bradyrhizobium</span>.</p>
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<p>Unrooted maximum likelihood phylogenetic tree of <span class="html-italic">L. cosentinii</span> endosymbionts based on <span class="html-italic">nodC</span> sequences (630 bp). Bootstrap values calculated for 1000 replications and those greater than 70% are indicated at the internodes. Black dimands (⬤) indicate <span class="html-italic">L. cosentinii</span> endosymbionts. Accession numbers from GenBank are shown in brackets. Bar 0.05 estimated substitutions. Abbreviations: B., <span class="html-italic">Bradyrhizobium</span>; sv., <span class="html-italic">symbiovar</span>.</p>
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<p>Venn diagram displaying the relationships between rhizobial symbionts nodulating lupine species growing in five continents. a: <span class="html-italic">B. cytisi</span>; b: <span class="html-italic">B. hipponenese</span>; c: <span class="html-italic">B. rifense</span>; d: <span class="html-italic">B. iriomotense</span>/<span class="html-italic">stylosanthis</span>; e: <span class="html-italic">B. diazoefficiens</span>; f: <span class="html-italic">B. japonicum</span>; g: <span class="html-italic">B. canariense</span>/<span class="html-italic">B. lupini</span>; h: <span class="html-italic">B. elkanii</span>; i: <span class="html-italic">B. retamae</span>; j: <span class="html-italic">B. valentinum</span>; k: <span class="html-italic">Microvirga</span>; l: <span class="html-italic">Phyllobacterium</span>; m: <span class="html-italic">Ochrobactrum</span>; n: <span class="html-italic">Devosia</span>. The number behind the names of the continents represent species richness. The number “0” indicates no shared species. The numbers behind the names of the continents refer to the number of the described rhizobial species.</p>
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7 pages, 1447 KiB  
Case Report
The First Case of a Cat Infected with Burkholderia pseudomultivorans, a Member of the Burkholderia cepacia Complex
by Yuji Fujii, Akihisa Suwa, Yuzo Tsuyuki, Kumiko Koyama, Junko Nio-Kobayashi and Kentaro Yoshii
Vet. Sci. 2024, 11(11), 559; https://doi.org/10.3390/vetsci11110559 - 12 Nov 2024
Viewed by 825
Abstract
The Burkholderia cepacia complex (Bcc) is a group of bacteria with similar biological properties which are an important cause of opportunistic infections. Identification of the Bcc species is important to understand clinical outcomes in human patients. However, there are few studies of Bcc [...] Read more.
The Burkholderia cepacia complex (Bcc) is a group of bacteria with similar biological properties which are an important cause of opportunistic infections. Identification of the Bcc species is important to understand clinical outcomes in human patients. However, there are few studies of Bcc species infecting companion animals such as cats. This report shows for the first time an infection with B. pseudomultivorans, a member of Bcc, in veterinary medicine. A 9-year-old, FIV-positive, mixed-breed cat was subjected to immunosuppressive therapy, developed septic shock, and died. In the bone marrow specimen collected postmortem, numerous short bacilli—some of which were phagocytosed by leukocytes—were observed. By bacteriological examination, the Bcc-like bacteria were isolated from the bone marrow sample. Genetic analysis showed that the recA gene sequence detected from the present case exhibited the highest homology (98–100%) to that of B. pseudomultivorans. Based on these examinations, the present case was diagnosed as B. pseudomultivorans infection. The findings of this study highlight the need for investigation of the Bcc species in veterinary practice to help in treatment decisions and the prognostic evaluation of Bcc infections. Full article
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<p>Postmortem cytology (day 41). Short bacilli, some of which were phagocytosed by leukocytes (indicated by arrowheads), were observed in peripheral blood (<b>a</b>) and bone marrow (<b>b</b>). Scale bar indicates 10 µm.</p>
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<p>Phylogenetic tree based on partial nucleotide sequences of the <span class="html-italic">recA</span> gene (730 bp) of the LMN08 strain and previously reported <span class="html-italic">Burkholderia</span> strains. The sequence alignment and construction of the phylogenetic tree were performed using MEGA version 10 software [<a href="#B14-vetsci-11-00559" class="html-bibr">14</a>]. A phylogenetic tree was reconstructed using the maximum-likelihood method with 1000 bootstrap replicates. The fittest substitution model for the data set was selected based on the Bayesian information criterion score. The model used in this study was the Tamura 3-parameter incorporating a gamma distribution and invariant sites (T92+G+I). The scale bar indicates the number of nucleotide substitutions per site, and bootstrap values (1000 replicates) above 60 are shown. The strain name and GenBank accession number are shown next to the species names. The background of <span class="html-italic">B. pseudomultivorans</span> is highlighted in light blue.</p>
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16 pages, 3838 KiB  
Article
Identification of Listeria Isolates by Using a Pragmatic Multilocus Phylogenetic Analysis
by Antonio Martínez-Murcia, Aaron Navarro and Caridad Miró-Pina
Microbiol. Res. 2024, 15(4), 2114-2128; https://doi.org/10.3390/microbiolres15040142 - 14 Oct 2024
Viewed by 870
Abstract
Species identification of Listeria isolates remained a tedious process still based on culturing methods that, in recent years, have led to the description of many species that are not even part of the genus Listeria. It is advisable to provide new precise [...] Read more.
Species identification of Listeria isolates remained a tedious process still based on culturing methods that, in recent years, have led to the description of many species that are not even part of the genus Listeria. It is advisable to provide new precise techniques since this taxon includes two pathogens that are usually transmitted through the food chain, Listeria monocytogenes and L. ivanovii. The approach, so-called multilocus phylogenetic analysis (MLPA) that uses several concatenated housekeeping gene sequences, provides accurate and affordable classification frameworks to easily identify Listeria species by simple Sanger sequencing. Fragments of seven housekeeping genes (gyrA, cpn60, parE, recA, rpoB, atpA, and gyrB) from 218 strains of all Listeria species currently described were used to build an MLPA of the concatenated sequence, a total of 4375 bp. All isolates subjected to identification were clustered within the species of Listeria sensu stricto, L. monocytogenes, L. innocua, and L. welshimeri, and some reference strains were reclassified as L. ivanovii and L. seeligeri. Housekeeping-gene sequencing has been demonstrated to represent a pragmatic tool that can be firmly considered in food control. Full article
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<p>Neighbor-joining phylogenetic tree based on the analysis of 16S rRNA gene sequences (935 bp) of all described <span class="html-italic">Listeria</span> sensu stricto and <span class="html-italic">Listeria</span> sensu lato species, routed using <span class="html-italic">Bacillus cereus</span>. Numbers at nodes indicate bootstrap values (percentage of 1000 replicates). <sup>T</sup>—type strains.</p>
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<p>Neighbor-joining phylogenetic tree based on the MLPA from seven concatenated housekeeping genes (<span class="html-italic">gyrA</span>, <span class="html-italic">cpn60</span>, <span class="html-italic">parE</span>, <span class="html-italic">recA</span>, <span class="html-italic">rpoB</span>, <span class="html-italic">atpA</span> and <span class="html-italic">gyrB</span>; a total of 4375 bp) of strains of all described <span class="html-italic">Listeria</span> sensu stricto and sensu lato species, <span class="html-italic">Bacillus cereus</span>, <span class="html-italic">Brochothrix thermosphacta</span>, and <span class="html-italic">Streptococcus pneumoniae</span>. Numbers at nodes indicate bootstrap values (percentage of 1000 replicates). Strains sequenced in this study are shown in bold. <sup>T</sup>—type strains.</p>
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<p>Graphical representation of the ranges of intra- and inter-species nucleotide substitution percentages in red and blue bars, respectively, and intra- and inter-species phylogenetic depth (black) for the concatenated seven-gene sequence, calculated for all <span class="html-italic">Listeria</span> sensu stricto species and subspecies and <span class="html-italic">L. monocytogenes</span> genetic lineages.</p>
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<p>Neighbor-joining phylogenetic tree based on the MLPA from seven concatenated housekeeping genes (<span class="html-italic">gyrA</span>, <span class="html-italic">cpn60</span>, <span class="html-italic">parE</span>, <span class="html-italic">recA</span>, <span class="html-italic">rpoB</span>, <span class="html-italic">atpA</span>, and <span class="html-italic">gyrB</span>; a total of 4375 bp) of strains of all described <span class="html-italic">Listeria</span> sensu stricto, including non-characterized isolates. Numbers at nodes indicate bootstrap values (percentage of 1000 replicates). Strains sequenced in this study are shown in bold and <span class="html-italic">Listeria</span> isolates identified in this study are shown in red. <sup>T</sup>—type strains.</p>
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<p>Neighbor-joining phylogenetic tree based on the MLPA from seven concatenated housekeeping genes (<span class="html-italic">gyrA</span>, <span class="html-italic">cpn60</span>, <span class="html-italic">parE</span>, <span class="html-italic">recA</span>, <span class="html-italic">rpoB</span>, <span class="html-italic">atpA</span>, and <span class="html-italic">gyrB</span>; a total of 4375 bp) of strains from the four <span class="html-italic">L. monocytogenes</span> genetic lineages. Numbers at nodes indicate bootstrap values (percentage of 1000 replicates). Strains sequenced in this study are shown in bold and <span class="html-italic">Listeria</span> isolates identified in this study are shown in red. <sup>T</sup>—type strains.</p>
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18 pages, 2293 KiB  
Article
Nodules of Medicago spp. Host a Diverse Community of Rhizobial Species in Natural Ecosystems
by Andrei Stefan, Jannick Van Cauwenberghe, Craita Maria Rosu, Catalina Stedel, Crystal Chan, Ellen L. Simms, Catalina Iticescu, Daniela Tsikou, Emmanouil Flemetakis and Rodica Catalina Efrose
Agronomy 2024, 14(9), 2156; https://doi.org/10.3390/agronomy14092156 - 21 Sep 2024
Cited by 1 | Viewed by 1081
Abstract
Biological nitrogen fixation by rhizobia-nodulated legumes reduces the dependence on synthetic nitrogen fertilizers. Identification of locally adapted rhizobia may uncover economically valuable strains for sustainable agriculture. This study investigated the diversity and symbiotic potential of rhizobia associated with three Medicago species from Eastern [...] Read more.
Biological nitrogen fixation by rhizobia-nodulated legumes reduces the dependence on synthetic nitrogen fertilizers. Identification of locally adapted rhizobia may uncover economically valuable strains for sustainable agriculture. This study investigated the diversity and symbiotic potential of rhizobia associated with three Medicago species from Eastern Romania’s ecosystems. Phenotypic screening ensured that only rhizobial species were retained for molecular characterization. 16S rDNA sequencing clustered the isolates into four distinct groups: Sinorhizobium meliloti, Sinorhizobium medicae, Rhizobium leguminosarum, and Mesorhizobium spp. The chromosomal genes (atpD, glnII, recA) and nifH phylogenies were congruent, while the nodA phylogeny grouped the Mesorhizobium spp. isolates with R. leguminosarum. Medicago sativa was the most sampled plant species, and only S. meliloti and R. leguminosarum were found in its nodules, while Medicago falcata nodules hosted S. meliloti and Mesorhizobium spp. Medicago lupulina was the only species that hosted all four identified rhizobial groups, including S. medicae. This study provides the first report on the Mesorhizobium spp. associated with M. falcata nodules. Additionally, R. leguminosarum and two Mesorhizobium genospecies were identified as novel symbionts for Medicago spp. Comparative analysis of Medicago-associated rhizobia from other studies revealed that differences in 16S rDNA sequence type composition were influenced by Medicago species identity rather than geographic region. Full article
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<p>Map of the sampled plant populations. The shapes represent the three medic species (triangle = <span class="html-italic">Medicago lupulina</span>, square = <span class="html-italic">M. falcata</span>, circle = <span class="html-italic">M. sativa</span>), and the colors represent the four identified rhizobial groups (blue = <span class="html-italic">Sinorhizobium meliloti</span>, yellow = <span class="html-italic">S. medicae</span>, green = <span class="html-italic">Rhizobium leguminosarum</span>, magenta = <span class="html-italic">Mesorhizobium</span> spp.). Each symbol represents one rhizobial isolate, with the exception of plant population H, where the enlarged circle stands for 27 isolates. The square part on the inset map represents the sampling area. The ellipses represent the four geographic regions. The position of the plant population letter (A–M) represents the sampling point.</p>
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<p>Maximum Likelihood tree of the 16S rDNA sequences (1345 nt); the best-fit model was found to be Jukes-Cantor and a discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories). The isolates from this study are in bold, and the plant population of origin is in parentheses. The sequence types (ST) are also shown. The three main rhizobial groups are shown in Roman numerals (Ia, Ib, II, III). The ‘MF’, ‘ML’, and ‘MS’ in the rhizobial isolates names stand for the three <span class="html-italic">Medicago</span> species.</p>
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<p>Maximum Likelihood tree based on the concatenated chromosomal gene sequences (<span class="html-italic">atpD</span> + <span class="html-italic">glnII</span> + <span class="html-italic">recA</span>, 1353 nt); the best-fit model was found to be Tamura 3-parameter and a discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories). The isolates from this study are in bold, and the plant population of origin is in parentheses. The sequence types (ST) are also shown. The three main rhizobial groups are shown in Roman numerals (Ia, Ib, II, III).</p>
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<p>Maximum Likelihood tree based on the <span class="html-italic">nodA</span> sequences (580 nt); the best-fit model was found to be Tamura 3-parameter, and a discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories). The isolates from this study are in bold, and the plant population of origin is in parentheses. The sequence types (ST) are also shown. The three main rhizobial groups are shown in Roman numerals (Ia, Ib, II).</p>
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<p>(<b>a</b>) PCoA plot comparing Sequence Type (ST) composition of <span class="html-italic">Medicago</span> spp. associated rhizobial communities using Jaccard distances. The first principal component (PCoA 1) and the second principal component (PCoA 2) explain 33.1% and 17.1% of the variance of the dataset, respectively. Distances between the points in the plot indicate the relative dissimilarity values of different regions and different <span class="html-italic">Medicago</span> spp. hosts. (<b>b</b>) PCoA plot comparing rhizobial species composition of <span class="html-italic">Medicago</span> spp., associated rhizobial communities using Jaccard distances. The first principal component (PCoA 1) and the second principal component (PCoA 2) explain 47.8% and 24.0% of the variance of the dataset, respectively. Distances between the points in the plot indicate the relative dissimilarity values of different regions and different <span class="html-italic">Medicago</span> spp. hosts.</p>
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10 pages, 947 KiB  
Article
Foot Anthropometry Measures in Relation to Treatment in Patients with Rheumatoid Arthritis: A Longitudinal Study
by Maria Gamez-Guijarro, Andres Reinoso-Cobo, Maria Jose Perez-Galan, Ana Belen Ortega-Avila, Laura Ramos-Petersen, Marcelino Torrontegui-Duarte, Gabriel Gijon-Nogueron and Eva Lopezosa-Reca
Healthcare 2024, 12(16), 1656; https://doi.org/10.3390/healthcare12161656 - 20 Aug 2024
Cited by 1 | Viewed by 934
Abstract
Approximately 90% of patients with arthritis exhibit forefoot deformities, including deformities within the metatarsophalangeal and proximal interphalangeal joints. Current pharmacological treatment with Disease Modifying Antirheumatic Drugs (DMARDs) consists of two groups: synthetic drugs (sDMARDs) and biological drugs (bDMARDs). The objective of our study [...] Read more.
Approximately 90% of patients with arthritis exhibit forefoot deformities, including deformities within the metatarsophalangeal and proximal interphalangeal joints. Current pharmacological treatment with Disease Modifying Antirheumatic Drugs (DMARDs) consists of two groups: synthetic drugs (sDMARDs) and biological drugs (bDMARDs). The objective of our study was to investigate foot anthropometry changes in RA patients based on the administered treatment over a five-year period Method: A longitudinal analysis was conducted with RA patients who were grouped based on their pharmacological treatment. The pharmacological treatment groups were categorized into (I) methotrexate (MTX), (II) MTX plus biological treatments (including all variables), (III) biological treatment alone, and (IV) a miscellaneous group comprising patients with diverse treatments, including patients for whom various drugs had failed or who had not achieved remission with pharmacological treatment. For the anthropometric measurements, a foot measurement platform validated by McPoil et al. was used. Post hoc analyses with Bonferroni correction were performed to identify pairwise differences between the treatment groups while controlling for Type I errors due to multiple comparisons. Results: In the period from 2018 to 2023, significant changes were observed in several foot measurements. For instance, the MTX group showed a statistically significant increase in left heel width (p = 0.026). The MTX group experienced a slight increase in left foot length, while the Biologics and MTX + Bio groups exhibited more substantial increases in both maximum medial arch height and midfoot width. Conclusions: Different RA treatments can have a significant impact on foot structure over a five-year period, showing notable changes in heel width and overall foot morphology. Combined treatments with MTX and biologics potentially offer better management of RA. Full article
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<p>Protocol Mc Poil. (<b>A</b>) Length of foot, (<b>B</b>) maximum height medial arch, (<b>C</b>) forefoot width, (<b>D</b>) midfoot width, (<b>E</b>) heel width.</p>
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<p>Protocol Mc Poil. (<b>A</b>) Length of foot, (<b>B</b>) maximum height medial arch, (<b>C</b>) forefoot width, (<b>D</b>) midfoot width, (<b>E</b>) heel width.</p>
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9 pages, 1383 KiB  
Article
Update of Modified Version of the Foot Function Index Tool Spanish Version (FFI-Sp), in Patients with Rheumatoid Arthritis: Cross Sectional Study
by Maria Gamez-Guijarro, Andres Reinoso-Cobo, Luis M. Gordillo-Fernandez, Mercedes Ortiz-Romero, Ana Belen Ortega-Avila, Esther Chicharro-Luna, Gabriel Gijon-Nogueron and Eva Lopezosa-Reca
Medicina 2024, 60(8), 1339; https://doi.org/10.3390/medicina60081339 - 18 Aug 2024
Viewed by 919
Abstract
Background and Objectives: The Foot Function Index (FFI) is a widely recognized patient-reported outcome measure (PROM) for assessing foot functionality and its impact on quality of life in individuals with rheumatoid arthritis (RA). This study aimed to observe the behavior of the [...] Read more.
Background and Objectives: The Foot Function Index (FFI) is a widely recognized patient-reported outcome measure (PROM) for assessing foot functionality and its impact on quality of life in individuals with rheumatoid arthritis (RA). This study aimed to observe the behavior of the tool in the Spanish population with RA, optimize the tool, and check its functionality. Materials and Methods: A total of 549 RA patients, with a predominant female participation (75.6%). This study involved a comprehensive statistical analysis, leading to a refined version of the FFI for a Spanish-speaking population. Results: The original 23-item FFI was revised, resulting in a 15-item version by excluding items that caused confusion or were considered redundant. This modified version maintained the original’s subscales of pain, disability, and activity limitation, but with an adjusted item distribution. The construct validity was confirmed through exploratory factor analysis, demonstrating excellent fit indices (Kaiser–Meyer–Olkin test = 0.926, Bartlett’s test of sphericity = 4123.48, p < 0.001). The revised FFI demonstrated good internal consistency (Cronbach’s alpha = 0.96) and test–retest reliability (ICC = 0.89). Conclusions: This study highlights the applicability of the FFI in Spanish-speaking RA populations, offering a valid and reliable tool for clinicians and researchers. The modifications enhance the FFI’s relevance for RA patients, facilitating better assessment and management of foot-related functional impairments. Full article
(This article belongs to the Section Hematology and Immunology)
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<p>Screen plot.</p>
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<p>Confirmatory factor structure of FFI-Sp-RA. Fc1: Factor 1; Fc2: Factor 2; Fc3: Factor 3.</p>
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<p>Bland–Altman plot for test–retest measurements.</p>
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13 pages, 1415 KiB  
Article
Biological Control of Streptomyces Species Causing Common Scabs in Potato Tubers in the Yaqui Valley, Mexico
by Amelia C. Montoya-Martínez, Roel Alejandro Chávez-Luzanía, Ana Isabel Olguín-Martínez, Abraham Ruíz-Castrejón, Jesús Daniel Moreno-Cárdenas, Fabiola Esquivel-Chávez, Fannie I. Parra-Cota and Sergio de los Santos-Villalobos
Horticulturae 2024, 10(8), 865; https://doi.org/10.3390/horticulturae10080865 - 15 Aug 2024
Viewed by 1476
Abstract
Potatoes (Solanum tuberosum L.) represent an important food in the country’s gastronomy due to their cost, nutritional contribution, and versatility. However, many plant diseases such as the common scab—caused by Streptomyces species—reduce its yield and quality. This study aims to determine Streptomyces [...] Read more.
Potatoes (Solanum tuberosum L.) represent an important food in the country’s gastronomy due to their cost, nutritional contribution, and versatility. However, many plant diseases such as the common scab—caused by Streptomyces species—reduce its yield and quality. This study aims to determine Streptomyces species being the causal agent of common scabs in a commercial potato field in the Yaqui Valley, Mexico, while identifying Bacillus strains as a biological control method to mitigate the impact of this disease under field conditions. Thus, three Streptomyces strains were selected from symptomatic samples, and then they were morphologically and molecularly (through sequencing recA and rpoB genes) identified as Streptomyces caniscabiei. After pathogenicity tests, the three strains were found to be pathogenic to potato tubers. In screening assays to identify biocontrol bacteria, strain TSO2T (Bacillus cabrialesii subsp. tritici) and TE3T_UV25 (Bacillus subtilis) had the best in vitro biocontrol effect against S. caniscabiei. Then, a field experiment (1 ha per treatment), under commercial conditions, was carried out to analyze the effectivity of these biocontrol bacteria to mitigate the common scabs on potato crops. After four months, the inoculation of this bacterial consortium decreased common scab incidence from 31% to 21% and increased the potato yield up to almost 5 tons/ha vs. the un-inoculated treatment. These findings demonstrate the effectiveness of the studied bacterial consortium as a potential biological control strategy to control common scabs of potato caused by Streptomyces caniscabiei, as well as increase the potato yield in the Yaqui Valley, Mexico. Full article
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<p>Typical lesions of common scabs on potatoes sampled in commercial fields in the Yaqui Valley, Mexico.</p>
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<p>Maximum likelihood (ML) phylogenetic tree derived from a two-locus dataset. ML bootstrap support (ML-BS) is based on 5000 pseudoreplicates of the data. The outgroup was rooted in sequences of <span class="html-italic">Nocardiopsis dassonvillei</span> NCTC 10488. The bold highlight is used to identify the strains isolated in this study; accession numbers of reference genome assemblies’ sequences are shown in parenthesis.</p>
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<p><span class="html-italic">Streptomyces caniscabiei</span> pathogenicity test in potato slices. (<b>a</b>) Un-inoculated control; (<b>b</b>) inoculated with the studied <span class="html-italic">Streptomyces caniscabiei</span>.</p>
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22 pages, 2442 KiB  
Article
Unearthing Optimal Symbiotic Rhizobia Partners from the Main Production Area of Phaseolus vulgaris in Yunnan
by Junjie Zhang, Jingqi Wang, Yufeng Feng, Brigitte Brunel and Xuxiao Zong
Int. J. Mol. Sci. 2024, 25(15), 8511; https://doi.org/10.3390/ijms25158511 - 4 Aug 2024
Viewed by 964
Abstract
Phaseolus vulgaris is a globally important legume cash crop, which can carry out symbiotic nitrogen fixation with rhizobia. The presence of suitable rhizobia in cultivating soils is crucial for legume cropping, especially in areas beyond the plant-host native range, where soils may lack [...] Read more.
Phaseolus vulgaris is a globally important legume cash crop, which can carry out symbiotic nitrogen fixation with rhizobia. The presence of suitable rhizobia in cultivating soils is crucial for legume cropping, especially in areas beyond the plant-host native range, where soils may lack efficient symbiotic partners. We analyzed the distribution patterns and traits of native rhizobia associated with P. vulgaris in soils of Yunnan, where the common bean experienced a recent expansion. A total of 608 rhizobial isolates were tracked from soils of fifteen sampling sites using two local varieties of P. vulgaris. The isolates were discriminated into 43 genotypes as defined by IGS PCR-RFLP. Multiple locus sequence analysis based on recA, atpD and rpoB of representative strains placed them into 11 rhizobial species of Rhizobium involving Rhizobium sophorae, Rhizobium acidisoli, Rhizobium ecuadorense, Rhizobium hidalgonense, Rhizobium vallis, Rhizobium sophoriradicis, Rhizobium croatiense, Rhizobium anhuiense, Rhizobium phaseoli, Rhizobium chutanense and Rhizobium etli, and five unknown Rhizobium species; Rhizobium genosp. I~V. R. phaseoli and R. anhuiense were the dominant species (28.0% and 28.8%) most widely distributed, followed by R. croatiense (14.8%). The other rhizobial species were less numerous or site-specific. Phylogenies of nodC and nifH markers, were divided into two specific symbiovars, sv. phaseoli regardless of the species affiliation and sv. viciae associated with R. vallis. Through symbiotic effect assessment, all the tested strains nodulated both P. vulgaris varieties, often resulting with a significant greenness index (91–98%). However, about half of them exhibited better plant biomass performance, at least on one common bean variety, and two isolates (CYAH-6 and BLYH-15) showed a better symbiotic efficiency score. Representative strains revealed diverse abiotic stress tolerance to NaCl, acidity, alkalinity, temperature, drought and glyphosate. One strain efficient on both varieties and exhibiting stress abiotic tolerance (BLYH-15) belonged to R. genosp. IV sv. phaseoli, a species first found as a legume symbiont. Full article
(This article belongs to the Special Issue The Molecular Research of Plant and Microbial Communities)
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<p>Maximum likelihood phylogenetic tree based on concatenated <span class="html-italic">recA</span>-<span class="html-italic">atpD</span>-<span class="html-italic">rpoB</span> gene sequences (1185 base pairs) showing the relationships of rhizobia isolated from <span class="html-italic">Phaseolus vulgaris</span> L. in Yunnan Province of China. The tree was constructed under the best-fit model (GTR + G + I). Scale bar indicates 0.02 nt substitution per site. Bootstrap confidence values (%) calculated for 500 replications &gt; 50% are indicated at the internodes.</p>
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<p>Distribution of core gene clades identifying species of rhizobia isolated from <span class="html-italic">Phaseolus vulgaris</span> L. per site and across all sites in Yunnan Province of China. The number of isolates is indicated under the site code. CXSB, Chuxiong Shuang bai, CXWD: Chuxiong Wu ding, CXYA: Chuxiong Yao an, CXMD: Chuxiong Mu ding, CXDH: Chuxiong Dong hua, CXDY: Chuxiong Dayao, CXLF: Chuxiong Lufeng, CXNH: Chuxiong Nanhua, DLEY: Dali Er yuan, DLXY: Dali Xiang yun, DLWS: Dali Wei shan, DLMD: Dali Mi du, BSLY: Baoshan Long yang, BSCN: Baoshan Chang ning, BSSD: Baoshan Shi dian.</p>
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<p>Maximum likelihood phylogenetic tree based on symbiotic gene <span class="html-italic">nodC</span> (376 base pairs) showing the relationships of the rhizobia isolated from nodules of <span class="html-italic">Phaseolus vulgaris</span> L. in Yunnan Province of China. The two <span class="html-italic">nodC</span> groups found among isolates are named N1 and N2. The tree was constructed using the maximum likelihood method under the best-fit model (T92 + G + I). Scale bar indicates 0.05 nt per site. Bootstrap confidence values (%) calculated for 500 replications &gt; 70% are indicated at the internodes.</p>
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<p>PCA to relate the distribution of the 42 IGS types of isolates (n &gt; 1) to physicochemical factors of soils and environment collected from the different sites. The blue arrows indicate IGS types of rhizobia, green indicate the sampling sites and red arrows represent soil properties and environmental factors. The longer the arrow was, the greater the influence of the soil property and environmental factor presents on the distribution of the IGS types. The smaller the angle between the arrow and the IGS type was, the stronger the effect of the soil property or environmental factor on distribution of the IGS type.</p>
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<p>Symbiotic performance score of 46 representative strains based on three symbiotic indexes: chlorophyll index (25%) + number of nodules (25%) + dry plant weight (50%). CK is negative control (uninoculated plants). (<b>Left</b>): Scores with black <span class="html-italic">Phaseolus vulgaris</span>. (<b>Right</b>): Score with white <span class="html-italic">P. vulgaris</span>. Treatments (CK or strains) were conducted in triplicates. Bars indicate mean ± standard error. Bars with a same letter are not significantly different (ANOVA + LSD test).</p>
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