Genetic similarity of Burkholderia cenocepacia from cystic fibrosis patients

Insights into the genome diversity and virulence of two clinical isolates of Burkholderia cenocepacia

PURPOSE

Burkholderia cenocepacia is among the most common members of the Burkholderia cepacia complex (Bcc) isolated from patients with cystic fibrosis (CF). The factors triggering the high rates of morbidity and mortality in CF patients are not well elucidated. In this study, we aim to highlight the genome diversity of two clinical isolates of B. cenocepacia through comparative genome analysis.

METHODOLOGY

The repertoire of virulence factors and resistance genes compared to reference strains J2315 and K56-2 was elucidated. The isolates were screened for the presence of phages and insertion sequences. Two methods were combined to obtain an accurate prediction of genomic islands (GIs): the cumulative GC profile and the IslandViewer web tool. To study evolutionary relatedness, whole genome-based single-nucleotide polymorphism (wgSNP) analysis was also performed with 43 publically available strains of the Bcc of various sequence types.Results/Key findings. Genome-based species identification of the two isolates BC-AUH and BC-BMEH confirmed the species as B. cenocepacia. Both belonged to ST-602, a double-locus variant of ST-32 (CC31), genomovar IIIA, and carried a large number of antibiotic resistance genes. Eighteen GIs were predicted in BC-AUH and BC-BMEH, occupying 9.3 and 6.1 % of the respective genomes. Comparison to J2315 revealed 89 and 85 genes unique to BC-BMEH and BC-AUH, respectively. Additionally, 1823 intergenic SNPs were detected between BC-BMEH and BC-AUH.

CONCLUSION

This study mapped existing genetic variations in B. cenocepacia associated with notorious outcomes in CF patients, and the data obtained provide comprehensive, genome-inferred insights and multifactorial examination of an important human pathogen.

Identification and analysis of genomic islands in Burkholderia cenocepacia AU 1054 with emphasis on pathogenicity islands

BACKGROUND

Genomic islands (GIs) are genomic regions that reveal evidence of horizontal DNA transfer. They can code for many functions and may augment a bacterium's adaptation to its host or environment. GIs have been identified in strain J2315 of Burkholderia cenocepacia, whereas in strain AU 1054 there has been no published works on such regions according to our text mining and keyword search in Medline.

RESULTS

In this study, we identified 21 GIs in AU 1054 by combining two computational tools. Feature analyses suggested that the predictions are highly reliable and hence illustrated the advantage of joint predictions by two independent methods. Based on putative virulence factors, four GIs were further identified as pathogenicity islands (PAIs). Through experiments of gene deletion mutants in live bacteria, two putative PAIs were confirmed, and the virulence factors involved were identified as lipA and copR. The importance of the genes lipA (from PAI 1) and copR (from PAI 2) for bacterial invasion and replication indicates that they are required for the invasive properties of B. cenocepacia and may function as virulence determinants for bacterial pathogenesis and host infection.

CONCLUSIONS

This approach of in silico prediction of GIs and subsequent identification of potential virulence factors in the putative island regions with final validation using wet experiments could be used as an effective strategy to rapidly discover novel virulence factors in other bacterial species and strains.

Phenotypic diversity and genotypic flexibility of Burkholderia cenocepacia during long-term chronic infection of cystic fibrosis lungs

Chronic bacterial infections of the lung are the leading cause of morbidity and mortality in cystic fibrosis patients. Tracking bacterial evolution during chronic infections can provide insights into how host selection pressures—including immune responses and therapeutic interventions—shape bacterial genomes. We carried out genomic and phenotypic analyses of 215 serially collected Burkholderia cenocepacia isolates from 16 cystic fibrosis patients, spanning a period of 2–20 yr and a broad range of epidemic lineages. Systematic phenotypic tests identified longitudinal bacterial series that manifested progressive changes in liquid media growth, motility, biofilm formation, and acute insect virulence, but not in mucoidy. The results suggest that distinct lineages follow distinct evolutionary trajectories during lung infection. Pan-genome analysis identified 10,110 homologous gene clusters present only in a subset of strains, including genes restricted to different molecular types. Our phylogenetic analysis based on 2148 orthologous gene clusters from all isolates is consistent with patient-specific clades. This suggests that initial colonization of patients was likely by individual strains, followed by subsequent diversification. Evidence of clonal lineages shared by some patients was observed, suggesting inter-patient transmission. We observed recurrent gene losses in multiple independent longitudinal series, including complete loss of Chromosome III and deletions on other chromosomes. Recurrently observed loss-of-function mutations were associated with decreases in motility and biofilm formation. Together, our study provides the first comprehensive genome-phenome analyses of B. cenocepacia infection in cystic fibrosis lungs and serves as a valuable resource for understanding the genomic and phenotypic underpinnings of bacterial evolution.