Kan, B. | bioRxiv Science

bioRxiv2019

Rapid Detection of Burkholderia pseudomallei with a Lateral Flow Recombinase Polymerase Amplification Assay

Melioidosis is a severe infectious disease caused by gram-negative, facultative intracellular pathogen Burkholderia pseudomallei (B. pseudomallei). Although cases are increasing reported from other parts of the world, it is an illness of tropical and subtropical climates primarily found in southeast Asia and northern Australia. Because of a 40% mortality rate, this life-threatening disease poses a public health risk in endemic area. Early detection of B. pseudomallei infection benefits greatly to implement effective treatment timely, which is vital for prognosis of a melioidosis patient. In this study, a novel isothermal recombinase polymerase amplification combined with lateral flow dipstick (LF-RPA) assay was established for rapid detection of B.pseudomallei. A set of probe and primers targeting orf2 gene of B. pseudomallei were generated and parameters for the LF-RPA assay were optimized. Result can be easy visualized in 30 minutes with the limit of detection (LoD) as low as 20 femtogram (ca. 25.6 copies) of B. pseudomallei genomic DNA. The assay is highly specific as no cross amplification was observed with 35 non-B. pseudomallei pathogens. Isolates (N=19) from patients of Hainan province of China were retrospectively confirmed by the newly developed method. LoD for B. pseudomallei spiked soil and blood samples were 2.1x103 CFU/g and 4.2x103 CFU/ml respectively. Sensitivity of the LF-RPA assay was comparable to TaqMan Real-Time PCR, however, the LF-RPA assay exhibited a better tolerant to inhibitors in blood than the later. Our results showed that the LF-RPA assay is an alternative to existing PCR-based methods for detection of B. pseudomallei with a potentiality of early accurate diagnosis of melioidosis at point of care or in-field use.

microbiology↗

bioRxiv2019

Multilocus sequence analysis, a rapid and accurate identification tool for taxonomic classification, evolutionary relationship and population biology of the genus Shewanella.

The genus Shewanella comprises a group of marine-dwelling species with worldwide distribution. Several species are regarded as causative agents of food spoilage and opportunistic pathogens of human diseases. In this study, a standard multilocus sequence analysis (MLSA) based on six protein-coding genes (gyrA, gyrB, infB, recN, rpoA and topA) was established as a rapid and accurate identification tool in fifty-nine type Shewanella strains. This method yielded sufficient resolving power in regard to enough informative sites, adequate sequence divergences and distinct interspecies branches. The stability of phylogenetic topology was supported by high bootstrap values and concordance with different methods. The reliability of the MLSA scheme was further validated by identical phylogenies and high correlations of genomes. The MLSA approach provided a robust system to exhibit evolutionary relationships in the Shewanella genus. The split network tree proposed twelve distinct monophyletic clades with identical G+C contents and high genetic similarities. Eighty-six tested strains were investigated to explore the population biology of the Shewanella genus in China. The most prevalent Shewanella species were Shewanella algae, Shewanella xiamenensis, Shewanella chilikensis, Shewanella indica, Shewanella seohaensis and Shewanella carassii. The strains frequently isolated from clinical and food samples highlighted the importance of increasing the surveillance of Shewanella species. Combined with the genetic, genomic and phenotypic analyses, Shewanella upenei should be considered a synonym of S. algae, and Shewanella pacifica should be reclassified as a synonym of Shewanella japonica.\n\nIMPORTANCEThe MLSA scheme based on six HKGs (gyrA, gyrB, infB, recN, rpoA and topA) is well established as a reliable tool for taxonomic, evolutionary and epidemiological analyses of the genus Shewanella in this study. The standard MLSA method allows researchers to make rapid, economical and precise identification of Shewanella strains. The robust phylogenetic network of MLSA provides profound insight into the evolutionary structure of the genus Shewanella. The population genetics of Shewanella species determined by the MLSA approach plays a pivotal role in clinical diagnosis and routine monitoring. Further studies on remaining species and genomic analysis will enhance a more comprehensive understanding of the microbial systematics, phylogenetic relationships and ecological status of the genus Shewanella.

microbiology↗