Project description:Using Nanopore sequencing, our study has revealed a close correlation between genomic methylation levels and antibiotic resistance rates in Acinetobacter Baumannii. Specifically, the combined genome-wide DNA methylome and transcriptome analysis revealed the first epigenetic-based antibiotic-resistance mechanism in A. baumannii. Our findings suggest that the precise location of methylation sites along the chromosome could provide new diagnostic markers and drug targets to improve the management of multidrug-resistant A. baumannii infections.
Project description:Two Acinetobacter baumannii strains with low susceptibility to fosmidomycin and two reference with high susceptibility to fosmidomycin were DNA-sequenced to investigate the genomic determinants of fosmidomycin resistance.
Project description:Acinetobacter baumannii A1S_1874 gene encodes as a LysR-type transcriptional regulator. LysR family regulators known to regulate biofilm formation, antibiotic resistance, and the expression of diverse genes in other Gram-negative bacteria. However, A1S-1874 has never been characterized in Acinetobacter baumannii, and the studies about the regulon of A1S-1874 are not discovered. In this study we revealed that A1S_1874 differentially regulates at least 302 genes including the csu pilus operon, N-acylhomoserine lactone synthese gene, A1S_0112-A1S_0118 operon, type 1v secretion system related genes that are involved in biofilm formation, surface motility, adherence, quorum sensing and virulence. Overall, our data suggests that A1S-1874 is a key regulator of Acinetobacter baumannii biofilm formation and gene expression.
Project description:Transcriptomics by RNA-seq provides unparalleled insight into bacterial gene expression networks, enabling a deeper understanding of the regulation of pathogenicity, mechanisms of antimicrobial resistance, metabolism, and other cellular processes. Here we present the transcriptome architecture of Acinetobacter baumannii ATCC 17978, a species emerging as a leading cause of antimicrobial resistant nosocomial infections. Differential RNA-seq (dRNA-seq) examination of model strain ATCC 17978 in 16 laboratory conditions identified 3731 transcriptional start sites (TSS), and 110 small RNAs, including the first identification of 22 sRNA encoded at the 3′ end of mRNA.
Project description:Acinetobacter baumannii AB042, a triclosan-resistant mutant, was examined for modulated gene expression using whole genome sequencing, transcriptomics, and proteomics in order to understand the mechanism of triclosan-resistance as well as its impact on A. Baumannii.
Project description:Acinetobacter baumannii, a robust Gram-negative bacterium known for inducing nosocomial infections and displaying multidrug resistance, remains a formidable challenge to combat. The limited arsenal of antimicrobial peptides targeting this pathogen underscores the need for innovative strategies. Here, we report a pioneering few-shot learning-based pipeline to identify potent antimicrobial peptides targeting A. baumannii. This pipeline effectively scans through the entire libraries of hexapeptides, heptapeptides, and octapeptides, encompassing tens of billions of candidates, despite the extreme scarcity of available training data. Comprising classification, ranking, and regression modules as an integration, each module is trained using a few-shot learning strategy involving pre-training and multiple fine-tuning steps while incorporating similar and true data fine-tuning. This methodology mitigates the potential overfitting concerns due to the small size of the training samples and then enhances the predictive capability of the pipeline. The results highlight the robustness and versatility of the methodology, demonstrating its effectiveness in discovering AMPs against A. baumannii and C. albicans, while demonstrating low off-target toxicity and negligible susceptibility to drug resistance. Additionally, the EME7(7) exhibits efficacy in controlling A. baumannii infections within a mouse pneumonia model, notably without inducing kidney injury — a contrast to the observed effects of polymyxin B. This work provides a paradigm for addressing the challenges posed by limited data availability.
Project description:Acinetobacter baumannii is a Gram-negative pathogen that has emerged as one of the most troublesome pathogens for health care institutions globally. Bacterial quorum sensing (QS) is a process of cell-to-cell communication that relies on the production, secretion and detection of autoinducer (AI) signals to share information about cell density and regulate gene expression accordingly. The molecular and genetic basis of Acinetobacter baumannii virulence remains poorly understood. Therefore, the contribution of the abaI/abaR quorum sensing system to growth characteristics, morphology, biofilm formation, resistance, motility and virulence of Acinetobacter baumannii was studied in detail. RNA-seq analysis indicated that genes involved in various aspects of energy production and conversion, Valine, leucine and isoleucine degradation and lipid transport and metabolism are associated with bacterial pathogenicity. Our work provides a new insight into abaI/abaR quorum sensing system effects pathogenicity in A. baumannii. We propose that targeting the AHL synthase enzyme abaI could provide an effective strategy for attenuating virulence. On the contrary, interdicting the autoinducer synthase–receptor abaR elicits unpredictable consequences, which may lead to enhanced bacterial virulence.
