Biology subjects

Rodrigues, J. L.

Publications and source records attributed to Rodrigues, J. L..

3 recordsLinked to original sources

bioRxiv2026

Integrated Resistome and Quantitative Proteomics Reveal Coordinated Resistance Architecture in MDR and XDR Gram-Negative ICU Pathogens

ObjectivesAntimicrobial resistance (AMR) in Gram-negative pathogens is driven by complex and coordinated molecular mechanisms that remain incompletely characterized. This study integrated phenotypic, genomic, and quantitative proteomic analyses to characterize multidrug-resistant (MDR) and extensively drug-resistant (XDR) Gram-negative bacteria circulating in an intensive care unit (ICU) in Northeastern Brazil. MethodsA total of 259 Gram-negative isolates collected between 2019 and 2021 underwent species identification, antimicrobial susceptibility testing, and targeted qPCR for resistance genes. Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa representing susceptible, MDR, and XDR phenotypes were selected for whole-genome sequencing and label-free quantitative proteomics. Differential protein abundance was assessed using Limma with |log2FC| > 1 and p < 0.05. ResultsK. pneumoniae (47%), A. baumannii (24%), and P. aeruginosa (21%) predominated. Carbapenem resistance reached 44%, 93%, and 61%, respectively, and MDR/XDR phenotypes occurred in >30% of isolates. Genomic analyses revealed dense resistomes with coexisting {beta}-lactamases (blaKPC, blaNDM, blaCTX-M, OXA) and widespread efflux systems. Proteomic profiling demonstrated phenotype-associated differences in outer membrane proteins, transport systems, regulatory proteins, and metabolic pathways. XDR isolates showed additional enrichment of envelope remodeling proteins, stress response mechanisms, and proteostasis-associated factors. ConclusionsMDR and XDR Gram-negative ICU pathogens exhibit coordinated resistance architecture characterized by accumulation of resistance genes and adaptive proteomic remodeling. Integrated multi-omics approaches provide mechanistic insight into antimicrobial resistance and support improved surveillance and therapeutic strategies. What is known?O_LIAntimicrobial resistance is a priority and a serious problem in global health, resulting in high rates of morbidity and mortality. C_LIO_LIKlebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa are on the World Health Organizations (WHO) priority list as major causes of morbidity and mortality worldwide. C_LIO_LIClassical characterization of susceptibility and resistance phenotypes does not capture the complexity of antimicrobial resistance and hampers effective control measures and actions to minimize the evolutionary dynamics of resistance in these bacteria. C_LI What is new?O_LIThe study characterizes the phenotypic pattern of antimicrobial susceptibility, the presence and sequencing of the resistome and virulome, and analyzes the label-free quantitative proteome of susceptible, MDR, and XDR phenotypes in strains of K. pneumoniae, A. baumannii, and P. aeruginosa circulating in hospital ICUs in Brazil. C_LIO_LIMDR and XDR gram-negative phenotypes are associated with a dense resistome, with widespread dissemination of beta-lactamase genes (bla_KPC, bla_NDM, bla_CTX-M, and OXA) and RND-type (MEXs) and acrAB-tolC efflux pumps, without changes in virulence genes. C_LIO_LIProteomic analysis demonstrated increased production of beta-lactamases, components of efflux pump systems, outer membrane protein synthesis, protection for oxidative stress mechanisms, proteins for iron acquisition, and systemic regulators. XDR strains additionally showed enhanced remodeling of the cell envelope, activation of proteostasis, and metabolic adaptation. C_LI

microbiology↗

bioRxiv2025

De novo production of prenylnaringenin compounds by a metabolically engineered Escherichia coli

Prenylnaringenin (PN) compounds, namely 8-prenylnaringenin (8-PN), 3-prenylnaringenin (3-PN), and 6-prenylnaringenin (6-PN), are reported to have several interesting bioactivities. This study aimed to validate a biosynthetic pathway for de novo production of PN in Escherichia coli. A previously optimized E. coli chassis capable of efficiently de novo producing naringenin was used to evaluate eleven prenyltransferases (PTs) for the production of PN compounds. As PT reaction requires dimethylallyl pyrophosphate (DMAPP) as extended substrate that has limited availability inside the cells, clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein 12a (Cas12a) (CRISPR-Cas12a) was used to construct ten boosted DMAPP-E. coli strains. All the PTs, in combination with the naringenin biosynthetic pathway, were tested in these strains. Experiments in 96-well deep well plates identified twelve strains capable of producing PN. E. coli M-PAR-121 with the integration of the 1-deoxy-D-xylulose-5-phosphate synthase (DXS) gene from E. coli (EcDXS) into the lacZ locus of the genome (E. coli M-PAR-121:EcDXS) expressing the soluble aromatic PT from Streptomyces roseochromogenes (CloQ) and the naringenin biosynthetic pathway was selected as the best producer strain. After optimizing the production media in shake flasks, 160.57 {micro}M of 3-PN, 4.4 {micro}M of 6-PN, and 2.66 {micro}M of 8-PN were obtained. The production was then evaluated at the bioreactor scale and 397.57 {micro}M of 3-PN (135.33 mg/L) and 25.61 {micro}M of 6-PN (8.72 mg/L) were obtained. To the best of our knowledge, this work represents the first report of de novo production of PN compounds using E. coli as a chassis.

synthetic biology↗

bioRxiv2023

Optimization of chondroitin production in E. coli using genome scale models

Chondroitin is a natural occurring glycosaminoglycan with applications as a nutraceutical and pharmaceutical ingredient and can be extracted from animal tissues. Microbial chondroitin-like polysaccharides emerged as a safer and more sustainable alternative source. However, chondroitin titers using either natural or recombinant microorganisms are still far from meeting the increasing demand. The use of genome-scale models and computational predictions can assist the design of microbial cell factories with possible improved titers of these value-added compounds. Genome-scale models have been used to predict genetic modifications in Escherichia coli engineered strains that would potentially lead to improved chondroitin production. Additionally, using synthetic biology approaches, a pathway for producing chondroitin has been designed and engineered in E. coli. Afterwards, the most promising mutants identified based on bioinformatics predictions were constructed and evaluated for chondroitin production in flask fermentation. This resulted in the production of 118 mg/L of extracellular chondroitin by overexpressing both superoxide dismutase (sodA) and a lytic murein transglycosylase (mltB). Then, batch and fed-batch fermentations at bioreactor scale were also evaluated, in which the mutant overexpressing mltB led to an extracellular chondroitin production of 427 mg/L and 535 mg/L, respectively. The computational approach herein described identified several potential novel targets for improved chondroitin biosynthesis, which may ultimately lead to a more efficient production of this glycosaminoglycan.

bioengineering↗