Use of remote sensing, spatial and geophysical modeling, and real recharging capabilities to identify suitable areas for groundwater exploitation in dry coastal areas.

Accurate identification of groundwater potential areas in arid regions is an important task for groundwater management and sustainability. As a result, this study used the innovative integration of remote sensing (RS), geographic information system (GIS), watershed modeling system (WMS), geophysical survey, and water mass balance equation to identify potential groundwater areas in the W. Dara, Eastern Desert, Egypt. A weighted spatial probability model (WSPM) of groundwater potential based on eight regulatory factors was implemented within ArcGIS software. Drainage density (DD), precipitation (P), net groundwater recharge (NGR), terrain slope (TS), lineament density (LD), lithologic group (LG), water quality (TDS), and depth to groundwater level (DGW) are the aspects considered. The Analytical hierarchy process (AHP) method was used to assign weights to these parameters, and their accuracy was estimated using the consistency ratio (CR). The resulting groundwater potential map classified W. Dara study area into five categories, ranging from very low to very high potential. A geophysical survey, in the form of Vertical Electrical Sounding (VES) and Transient Electromagnetic (TEM), was conducted along W. Dara to validate the results of the WSPM, which identified areas of high groundwater potential. The 1D inversion of VES/TEM shows that the central and western parts of W. Dara are considered the most promising areas for groundwater occurrence, and are located in areas of high and very high potential classes derived from WSPM. Moreover, the results of VES and TEM surveys showed that the proposed aquifers (Nubian Sandstone, Miocene, and Quaternary) in the study area are horizontally and vertically connected through a set of normal faults traversing NW-SE. Ten sites have been proposed for drilling additional exploitative wells in W. Dara area based on the WSPM and geophysical survey with the aim of sustainable development. Thus, the integrated techniques applied in this study proved effective in accurately determining the development strategy for arid and semi-arid coastal areas, especially those that suffer from scarcity of rainfall and increased agricultural reclamation requirements in remote areas.

Characterization and genomic analysis of novel bacteriophage NK20 to revert colistin resistance and combat pandrug-resistant Klebsiella pneumoniae in a rat respiratory infection model.

AIM: We investigated the therapeutic capacity of the isolated Klebsiella bacteriophage NK20 against pandrug-resistant strains. Moreover, we assessed the impact of resistance development on the overall therapeutic outcome both in vitro and in vivo. MAIN METHODS: The pandrug-resistant K. pneumoniae Kp20 is used as a host strain for the isolation of bacteriophages using sewage samples. Spot assay was then used to compare the spectra of the isolated phages, while kinetic and genomic analysis of the phage with the broadest spectrum was assessed. Antibacterial potential of the phage was assessed using turbidimetric assay and MIC with and without colistin. Finally, the therapeutic efficacy was evaluated in vivo using a rat respiratory infection model. KEY FINDINGS: The isolated lytic bacteriophage (NK20) showed a relatively broad spectrum and an acceptable genomic profile. In vitro antibacterial assay revealed bacterial resistance development after 12 h. Colistin inhibited bacterial regrowth and reduced pandrug-resistant strains' colistin MICs. Despite the isolation of resistant clones, intranasal administration of NK20 significantly (p < 0.05) reduced the bacterial load in both the pulmonary and blood compartments and rescued 100 % of challenged rats. Histological and immunological analysis of treated animals' lung tissue revealed less inflammation and lower TNF-α and caspase-3 expression. SIGNIFICANCE: NK20 is a promising candidate that rescued rats from untreatable, pan-drug-resistant K. pneumoniae Kp20. Moreover, it steers the evolution of resistant mutants with higher sensitivity to colistin and less virulence, opening the door for using phages as sensitizing and anti-virulence entities rather than direct killer.

Exploring the potential efficacy of phage therapy for biocontrol of foodborne pathogenic extensively drug-resistant Escherichia coli in gastrointestinal tract of rat model.

AIM: The emergence of extensively drug-resistant (XDR) Escherichia coli leaves little or no therapeutic options for the control of these foodborne pathogens. The goal is to isolate, characterize, and assess the potential efficacy of a bacteriophage in the treatment of an induced gastrointestinal tract infection. MAIN METHODS: Sewage water was used to isolate phage phPE42. Transmission electron microscope was used for the visualization of phage morphology. Lysis profile, growth kinetics, and stability studies were determined. The ability of phage to eradicate biofilms was assessed by crystal violet staining, resazurin assay, compound bright field microscope, and confocal laser scanning microscope (CLSM). Moreover, the efficacy of phage phPE42 as a potential therapy was evaluated in a rat model. KEY FINDINGS: A newly lytic Myoviridae phage phPE42 was isolated and exhibited broad coverage activity (48.6 %) against E. coli clinical isolates. It demonstrated favorable growth kinetics and relative stability under a variety of challenging conditions. The resazurin colorimetric assay and CLSM provided evidence of phage potential's ability to significantly (P < 0.05) decrease the viability of biofilm-embedded cells. The bacterial burden in animal faeces was effectively eradicated (P < 0.05) by oral administration of phage phPE42. Phage-treated rats exhibited a significant decrease in tissue damage with no signs of inflammation, necrosis, or erosion. Furthermore, phage therapy significantly (P < 0.05) reduced the expression level of the apoptotic marker caspase-3 and the inflammatory cytokine TNF-α. SIGNIFICANCE: Treatment with phage phPE42 is considered a promising alternative therapy for the control of severe foodborne infections spurred by pathogenic XDR E. coli.

Characterization of newly isolated bacteriophage to control multi-drug resistant Pseudomonas aeruginosa colonizing incision wounds in a rat model: in vitro and in vivo approach.

AIMS: Pseudomonas aeruginosa is one of the most common causes of opportunistic and hospital-acquired infections in the world, which is repeatedly associated with treatment challenges. The evolution of new approaches such as phage therapy may be a novel alternative strategy for the treatment of these life-threatening infections. This paper aims to characterize the isolated bacteriophage and evaluate its potential therapy for the treatment of induced skin infection. MAIN METHODS: Enrichment method and double-layer overlay agar were used for isolation and purification of bacteriophages. The lysis profiles of isolated phages were evaluated using spot method. The phage morphology was visualized by transmission electron microscope. The growth kinetics such as adsorption rate, latent period, burst size, and in vitro challenging activity were determined. Biofilm eradication was analyzed using confocal laser scanning microscope (CLSM). Furthermore, the potential activity of phage therapy was evaluated in a rat model. KEY FINDINGS: Eight phages were isolated while phage phPS127 displayed the strongest lytic spectra. This phage is a member of Siphoviridae family that showed good growth kinetics. Our in vitro results showed that phage phPS127 significantly decreased the bacterial density (P < 0.05). CLSM revealed the significant reduction in the viability of the biofilm-adhered cells (P < 0.05). Phage therapy provided a significant level of treatment and promoted wound healing. Moreover, phage therapy significantly decreased bacterial burden (P < 0.05), inflammatory cytokine (TNF-α) and apoptosis (caspase-3) expression level. SIGNIFICANCE: Phage phPS127 can be considered as a promising candidate for treatment of clinical P. aeruginosa infections.

Predictive model for progressive salinization in a coastal aquifer using artificial intelligence and hydrogeochemical techniques: a case study of the Nile Delta aquifer, Egypt.

To monitor groundwater salinization due to seawater intrusion (SWI) in the aquifer of the eastern Nile Delta, Egypt, we developed a predictive regression model based on an innovative approach using SWI indicators and artificial intelligence (AI) methodologies. Hydrogeological and hydrogeochemical data of the groundwater wells in three periods (1996, 2007, and 2018) were used as input data for the AI methods. All the studied indicators were enrolled in feature extraction process where the most significant inputs were determined, including the studied year, the distance from the shoreline, the aquifer type, and the hydraulic head. These inputs were used to build four basic AI models to get the optimal prediction results of the used indicators (the base exchange index (BEX), the groundwater quality index for seawater intrusion (GQISWI), and water quality). The machine learning models utilized in this study are logistic regression, Gaussian process regression, feedforward backpropagation neural networks (FFBPN), and deep learning-based long-short-term memory. The FFBPN model achieved higher evaluation results than other models in terms of root mean square error (RMSE) and R2 values in the testing phase, with R2 values of 0.9667, 0.9316, and 0.9259 for BEX, GQISWI, and water quality, respectively. Accordingly, the FFBPN was used to build a predictive model for electrical conductivity for the years 2020 and 2030. Reasonable results were attained despite the imbalanced nature of the dataset for different times and sample sizes. The results show that the 1000 µS/cm boundary is expected to move inland ~9.5 km (eastern part) to ~10 km (western part) to ~12.4 km (central part) between 2018 and 2030. This encroachment would be hazardous to water resources and agriculture unless action plans are taken.

A multidisciplinary approach for delineating wastewater flow paths in shallow groundwater aquifers: A case study in the southeastern part of the Nile Delta, Egypt.

Groundwater pollution is a global issue in highly populated areas, the Eastern Nile Delta region is a typical example; especially around artificial wastewater drains. In the present work, a multidisciplinary approach using hydrogeochemical, geostatistical, microbiological and geophysical data was applied to determine the vulnerability conditions and to identify potential pathways through which contaminants could potentially percolate to shallow aquifers in the southern boundary of the Eastern Nile Delta. An organized groundwater sampling was conducted for hydrogeochemical investigation in rural areas along the Belbies unlined drain. This drain is known of being heavily polluted by agricultural and municipal wastewater. The hydrogeochemical analysis reveals high pollution levels by Pb, Cd, and Cr for most of the collected shallow groundwater samples nearby the drain. Additionally, NO3-, fecal and total coliform bacteria were observed in many samples with high concentrations. Six factors were distinguished on the basis of principal component analysis and varimax rotation, with total variance more than 78%. These factors reflected sewage contamination, lithogenic and anthropogenic effects on the shallow groundwater. Hierarchical cluster analysis revealed two main clusters of groundwater groups. Accordingly, Electrical Resistivity Tomography (ERT) was carried out in the areas of the distinguished clusters to locate potential preferential flow paths and horizons of lateral flow around the drain. The obtained resistivity models illustrate breakthrough behavior in parts of the measured profiles due to the presence of permeable paths close to the drain. The applied integrative approach is valuable for understanding the ambiguities during the interpretation process and for characterizing water quality and the aquifer vulnerability conditions. Additionally, it may guide to understand the surface water-groundwater links in order to supply the growing population with safe water.