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Njideka, A. C.

Publications and source records attributed to Njideka, A. C..

2 recordsLinked to original sources

Phage metagenome assembled genomes portraying anti-ESKAPE and anti CRISPR/Cas potential; datasets from sewage clinical settings of Western Uganda, subSaharan Africa

ESKAPE pathogens include Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter spp., which account for the major causes of mortality linked to the spread of infection and antimicrobial resistance (AMR) globally. Advances in omics approaches have pointed to bacteriophages as a promising alternative source of antibacterial agents. Here we enriched two samples from sewage and amplified them on Staphylococcus culture, followed by whole metagenome shotgun sequencing with Illumina NovaSe X. We performed metagenomic classification of high-quality sequence reads using the Kraken 2 database, to delineate the diversity and abundances of taxa. Thereafter we assembled the sequence reads with MAGAHIT and binned them with default parameters of the Bacterial and Viral Bioinformatics Resource Center (BV-BRC) before annotating each bin with PhageScope. From assembly, we recovered multiple metagenome-assembled genomes (MAGs) including Alistipes phage, Escherichia phage, Vibrio phage, Staphylococcus phage, Klebsiella phage and Acinetobacter phage, to mention the top six best hits. From annotation, while the Acinetobacter phage is virulent, the two Klebsiella phage and Staphylococcus phage are temperate. All the phages possess more than four lysis genes, with the potential to disrupt bacterial membranes. Exceptionally, Vibrio phage, Acinetobacter phage and Alistipes phage possess anti-CRISPR genes, the potential to counteract normal bacterial immune response to phage infection. These findings also inform that MAGs from the sewage have the potential to recover phages with anti-CRISPR/Cas activity, which is one of the desirable attributes for effective phage-bacterial infection to control the growth and multiplication of bacteria. Our datasets can be utilized for genome-guided selection of potent phages through lytic and host-range assays, towards the purification of endolysins (lysozymes) as alternative antibacterial agents. VALUE OF THE DATAO_LIMetagenome-assembled genomes (MAGs) of lytic phages could present a potential model to combat multidrug-resistant Staphylococcus, Klebsiella and Acinetobacter species, which are WHOs high-priority pathogens. C_LIO_LIPhages with bacterial infective potential can be used as model gene vehicles and vectors for gene and genome editing studies as they possess hydrolytic enzymes targeting the bacterial cell walls, chromosomal DNA sequences and anti-CRISPR/Cas proteins. C_LIO_LIComparing raw and processed datasets, MAGs provide an avenue for the pursuit of novel industrial strains from local resources in East Africa. C_LI

genomics↗

Impact of Antibiotics on the Genomic Expression of Pseudomonas aeruginosa in the East African Community: A Systematic Review

Antimicrobial resistance (AMR) presents a significant health problem globally with the majority of the burden coming from lower-middle-income countries. AMR surveillance under a One Health paradigm is critical for determining the relationships between clinical, animal, and environmental AMR levels. Allowing for a thorough knowledge of the interconnected variables contributing to resistance, which enables the development of effective solutions. This systematic review was conducted to determine the impact of antibiotics on the gene expression of Pseudomonas spp. In the East African Community. A comprehensive literature search was conducted across Web of Science, Scopus, and PubMed databases yielding 284 articles with 11 meeting the inclusion criteria after screening. We included the 11 studies from 5 East African Countries that are part of the East African Community, the results revealed a high prevalence of antimicrobial resistance in Pseudomonas aeruginosa, with resistance rates above 90% for most tested antibiotics, exception of Amikacin, which remained effective due to its limited use. Common resistance genes reported included carbapenem-resistant genes like blaNDM-1 and blaVIM, the most common method used was disc diffusion method at (50%). The review also found high-risk clones, such as ST 244 and ST 357, that were associated with multidrug-resistant strains. Environmental isolates showed lower resistance rates (54%) than clinical pathogens (73%), indicating different selecting pressures. Majority of the studies were conducted in Kenya (30%) and Uganda (30%), indicating differences in research capabilities and healthcare facilities. These findings highlight the critical need for more surveillance, effective antimicrobial stewardship programs, and additional research to prevent antibiotic resistance and guide public health initiatives in the region. KEY FINDINGS OF THE STUDYPseudomonas aeruginosa isolates demonstrated substantial resistance to antibiotics, including cefepime, meropenem, levofloxacin, and ticarcillin-clavulanic acid as reported across various studies conducted in East Africa. Amikacin was reported to be more effective in more than 90% of the studies reported across East Africa as a potential treatment choice for multidrug-resistant Pseudomonas infections in the region. Carbapenem-resistant genes such as blaNDM-1, blaVIM, and blaOXA-48 were found in a large number of clinical and environmental isolates. High-risk clones, such as ST 244 and ST 357 were reported to demonstrate clonal spread of multidrug-resistant Pseudomonas aeruginosa across East African healthcare settings. The disc diffusion method was the most popular antimicrobial susceptibility testing method (50%), owing to its low cost and simplicity. DNA extraction and PCR were used in 30% of the studies whereas more advanced approaches such as whole genome sequencing were less popular due to resource constraints. The majority of studies were undertaken in Kenya (30%) and Uganda (30%), with fewer studies in Tanzania and the Democratic Republic of the Congo (20%), demonstrating regional variations in research capacity and healthcare resources.

genomics↗