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首页> 外文期刊>Journal of Clinical Microbiology >A Phylogeny-Informed Proteomics Approach for Species Identification within the Burkholderia cepacia Complex
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A Phylogeny-Informed Proteomics Approach for Species Identification within the Burkholderia cepacia Complex

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Ancestral genetic exchange between members of many important bacterial pathogen groups has resulted in phylogenetic relationships better described as networks than as bifurcating trees. In certain cases, these reticulated phylogenies have resulted in phenotypic and molecular overlap that challenges the construction of practical approaches for species identification in the clinical microbiology labora tory. Burkholderia cepacia complex (Bcc), a betaproteobacteria species group respon sible for significant morbidity in persons with cystic fibrosis and chronic granulomatous disease, represents one such group where network-structured phylogeny has hampered the development of diagnostic methods for species-level discrimination. Here, we present a phylogeny-informed proteomics approach to facilitate diagnostic classification of pathogen groups with reticulated phylogenies, using Bcc as an ex ample. Starting with a set of more than 800 Bcc and Burkholderia gladioli wholegenome assemblies, we constructed phylogenies with explicit representation of inferred interspecies recombination. Sixteen highly discriminatory peptides were chosen to distinguish B. cepacia, Burkholderia cenocepacia, Burkholderia multivorans, and B. gladioli and multiplexed into a single, rapid liquid chromatography-tandem mass spectrometry multiple reaction monitoring (LC-MS/MS MRM) assay. Testing of a blinded set of isolates containing these four Burkholderia species demonstrated 50/50 correct automatic negative calls (100 accuracy with a 95 confidence interval CI of 92.9 to 100), and 70/70 correct automatic species-level positive identifications (100 accuracy with 95 CI 94.9 to 100) after accounting for a single initial incorrect identification due to a preanalytic error, correctly identified on retesting. The approach to analysis described here is applicable to other pathogen groups for which development of diagnostic classification methods is complicated by interspecies recombination.

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