Comparative genomics of clinical Stenotrophomonas maltophilia isolates reveals regions of diversity which correlate with colonization and persistence in vivo
McDaniel, M. S.; Sumpter, N. A.; Lindgren, N.; Billiot, C. E.; Swords, W. E.
Show abstract
Stenotrophomonas maltophilia is a Gram-negative emerging opportunistic pathogen often found in respiratory diseases such as cystic fibrosis (CF). Patients with CF experience lifelong polymicrobial infections of the respiratory mucosa. Our prior work showed that P. aeruginosa promotes persistence of S. maltophilia mouse respiratory infections. As is typical for environmental opportunistic pathogens, S. maltophilia has a large genome and a high degree of genetic diversity. In this study, we evaluated the genomic content of S. maltophilia, combining short and long read sequencing to construct complete genomes of 10 clinical isolates which were then compared with the larger phylogeny of S. maltophilia genomic sequence data, and compared colonization/persistence in vivo, alone and in coinfection with P. aeruginosa. We found that while the overall genome size and GC content were fairly consistent, there was considerable variability in arrangement and gene content. Similarly, there was significant variability in S. maltophilia colonization and persistence in vivo in experimental mouse respiratory infection. Ultimately, this study gives us a greater understanding of the genomic diversity of S. maltophilia isolated from patients, and how this genomic diversity relates to interactions with other pulmonary pathogens, and to host disease progression. Identifying the molecular determinants of infection with S. maltophilia can facilitate development of novel antimicrobial strategies for a highly drug-resistant pathogen.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Lineages derived from Cryptococcus neoformans type strain H99 support a link between the capacity to be pleomorphic and virulence 96%
- NirA is an alternative nitrite reductase from Pseudomonas aeruginosa with potential as an anti-virulence target 96%
- Within-host genotypic and phenotypic diversity of contemporaneous carbapenem-resistant Klebsiella pneumoniae from blood cultures of patients with bacteremia 96%
Similar papers in this journal
- Achromobacter xylosoxidans isolates exhibit genome diversity, variable virulence, high levels of antibiotic resistance and potential intrahost evolution. 98%
- Functional characterization of clinical isolates of the opportunistic fungal pathogen Aspergillus nidulans 95%
- A novel conserved protein in Streptococcus agalactiae, BvaP, is important for vaginal colonization and biofilm formation 95%
Similar papers in this journal
- Pseudomonas aeruginosa promotes persistence of Stenotrophomonas maltophilia via increased adherence to depolarized respiratory epithelium 97%
- Limited adaptive evolution of Staphylococcus aureus during transition from colonization to invasive infection 96%
- Species-wide phylogenomics of the Staphylococcus aureus agr operon reveals convergent evolution of frameshift mutations 95%
Similar papers in this journal
- mucG, mucH,and mucI modulate production of mutanocyclin and reutericyclins in Streptococcus mutans B04Sm5 96%
- CsrA-controlled proteins reveal new dimensions of Acinetobacter baumannii desiccation tolerance 95%
- Conserved FimK truncation coincides with increased expression of type 3 fimbriae and cultured bladder epithelial cell association in Klebsiella quasipneumoniae 95%
Similar papers in this journal
- Strain-dependent contribution of the AcrAB-TolC efflux pump to Klebsiella pneumoniae physiology 96%
- ChpC controls twitching motility-mediated expansion of Pseudomonas aeruginosa biofilms in response to serum albumin, mucin and oligopeptides 95%
- A Functional Menadione Biosynthesis Pathway is Required for Capsule Production by Staphylococcus aureus. 95%
"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.