Phylogenetic Analysis of Beta-Lactamases Reveals Distinct Evolutionary Patterns of Chromosomal and Plasmid-Encoded BLs and the Mosaic Role of VIM Linking NDM and IMP
Anand, A. A.; Yadav, V.; Kshitiz, K.; Sreedevi, P. C.; Anwar, S.; Samanta, S. K.
Show abstract
Beta-lactamases (BLs) are a major driver of antibiotic resistance in pathogens like Acinetobacter baumannii, Enterobacteriaceae and Pseudomonas aeruginosa. This study explores the structural stability and functional divergence of metallo-beta-lactamases (MBLs) and AmpC through study of protein-protein interaction (PPI) network analysis, phylogenetics and identification of conserved domains and motifs. The study also involves analysis of co-evolutionary dynamics of BLs with related genes. PPI analysis identified NagZ as central interacting partner for BLs in P. aeruginosa and Enterobacteriaceae, suggesting its pivotal role in BL expression, and highlighting its probable role as a potential drug target. In contrast, A. baumannii exhibited such a high diversity in protein interactions, that considering a single protein as topmost interacting partner was difficult. Phylogenetic analysis revealed strong co-evolutionary trends between functionally-related proteins. A. baumannii and Enterobacteriaceae were found to be closely related in case of not just the chromosomally-encoded MBL-fold containing proteins, but also the true MBLs which are plasmid-encoded. On the other hand, similar evolutionary patterns for chromosomally-encoded BLs like AmpC and related genes was found in A. baumannii and P. aeruginosa. Analysis of PFAM domains showed that catalytic and substrate binding domains are more conserved than accessory ones. Several motifs, such as, ASNGLI were found to be conserved across all MBLs and thus carry the potential to be significant drug targets. Finally, inter-BL analysis revealed that VIM acts as an evolutionary link by acting like a mosaic between IMP and NDM as supported by intermediate GC content, positioning in phylogenetic trees and shared sequence features.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Quorum Sensing Regulators and Non-ribosomal Peptide Synthetases Govern Antibacterial Secretions in Xenorhabdus szentirmaii 95%
- BacAnt: A Combination Annotation Server for Bacterial DNA Sequences to Identify Antibiotic Resistance Genes, Integrons, and Transposable Elements. 95%
- Listening to bacterial Esperanto: transcriptome reprogramming in a plant beneficial rhizobacterium 94%
Similar papers in this journal
Similar papers in this journal
- Acquired fluoroquinolone resistance genes in corneal isolates of Pseudomonas aeruginosa 94%
- Genomic insights on DNase production in Streptococcus agalactiae ST17 and ST19 strains 93%
- Pseudomonas putida group species serve as reservoirs of conjugative plasmids disseminating Tn402-like class 1 integrons carrying blaVIM-2 metallo-β-lactamase genes 92%
Similar papers in this journal
- Antimicrobial resistance determinants in silage 95%
- Comparative genome analysis of a multidrug-resistant Pseudomonas aeruginosa sequence type 277 clone that harbours two copies of the blaSPM-1 gene and multiple single nucleotide polymorphisms in other resistance-associated genes 95%
- Characterization and description of Faecalibacterium butyricigenerans sp. nov. and F. longum sp. nov., isolated from human faeces 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.