Absolute quantification of priority bacteria in aquaculture using digital PCR.

Modern aquaculture systems are designed for intensive rearing of fish or other species. Both land-based and offshore systems typically contain high loads of biomass and the water quality in these systems is of paramount importance for fish health and production. Microorganisms play a crucial role in removal of organic matter and nitrogen-recycling, production of toxic hydrogen sulfide (H2S), and can affect fish health directly if pathogenic for fish or exerting probiotic properties. Methods currently used in aquaculture for monitoring certain bacteria species numbers still have typically low precision, specificity, sensitivity and are time-consuming. Here, we demonstrate the use of Digital PCR as a powerful tool for absolute quantification of sulfate-reducing bacteria (SRB) and major pathogens in salmon aquaculture, Moritella viscosa, Yersinia ruckeri and Flavobacterium psychrophilum. In addition, an assay for quantification of Listeria monocytogenes, which is a human pathogen bacterium and relevant target associated with salmonid cultivation in recirculating systems and salmon processing, has been assessed. Sudden mass mortality incidents caused by H2S produced by SRB have become of major concern in closed aquaculture systems. An ultra-sensitive assay for quantification of SRB has been established using Desulfovibrio desulfuricans as reference strain. The use of TaqMan® probe technology allowed for the development of multi-plex assays capable of simultaneous quantification of these aquaculture priority bacteria. In single-plex assays, limit of detection was found to be at around 20 fg DNA for M. viscosa, Y. ruckeri and F. psychrophilum, and as low as 2 fg DNA for L. monocytogenes and D. desulfuricans.

Efficiency and sensitivity of the digital droplet PCR for the quantification of antibiotic resistance genes in soils and organic residues.

Droplet digital PCR (ddPCR) allows absolute quantification and tolerance to inhibitors and has been proposed as the method of choice to overcome limitations of qPCR. The aim of this study was to evaluate ddPCR and qPCR performances to detect low copy number and copy number variation of antibiotic resistance genes (sul1 and qnrB genes encoding for resistance to sulfonamides and quinolones, respectively) using bacterial genomic DNA (gDNA) and metagenomic DNA extracted from soil and organic residue samples. With gDNA, qPCR showed a better range of quantification but the lower limit of quantification was at 15 copies of qnrB target vs. 1.6 in ddPCR. In the presence of background DNA or inhibitors, we observed a high loss of sensitivity in qPCR and an overestimation of target sequences. When using high amount of environmental DNA templates (70 ng per reaction), ddPCR was still allowing accurate quantification without adding PCR facilitator (i.e., T4 Gene 32 protein). Sensitivity to detect copy number variation was tenfold higher in ddPCR than in qPCR. Finally, the advantages of using ddPCR in environmental studies were confirmed with the quantification of sul1 and qnrB in soils, manures, or urban wastes.

Decreased HLA-DR antigen-associated invariant chain (CD74) mRNA expression predicts mortality after septic shock.

INTRODUCTION: Septic syndromes remain the leading cause of mortality in intensive care units (ICU). Septic patients rapidly develop immune dysfunctions, the intensity and duration of which have been linked with deleterious outcomes. Decreased mRNA expressions of major histocompatibility complex (MHC) class II-related genes have been reported after sepsis. We investigated whether their mRNA levels in whole blood could predict mortality in septic shock patients. METHODS: A total of 93 septic shock patients were included. On the third day after shock, the mRNA expressions of five MHC class II-related genes (CD74, HLA-DRA, HLA-DMB, HLA-DMA, CIITA) were measured by qRT-PCR and monocyte human leukocyte antigen-DR (mHLA-DR) by flow cytometry. RESULTS: A significant correlation was found among MHC class II related gene expressions. Among mRNA markers, the best prognostic value was obtained for CD74 (HLA-DR antigen-associated invariant chain). For this parameter, the area under the receiver operating characteristic curve (AUC) was calculated (AUC = 0.67, 95% confidence interval (CI) = 0.55 to 0.79; P = 0.01) as well as the optimal cut-off value. After stratification based on this threshold, survival curves showed that a decreased CD74 mRNA level was associated with increased mortality after septic shock (Log rank test, P = 0.0043, Hazard Ratio = 3.0, 95% CI: 1.4 to 6.5). Importantly, this association remained significant after multivariate logistic regression analysis including usual clinical confounders (that is, severity scores, P = 0.026, Odds Ratio = 3.4, 95% CI: 1.2 to 9.8). CONCLUSION: Decreased CD74 mRNA expression significantly predicts 28-day mortality after septic shock. After validation in a larger multicentric study, this biomarker could become a robust predictor of death in septic patients.