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Spilsberg, B.

Publications and source records attributed to Spilsberg, B..

2 recordsLinked to original sources

: A standardized bath challenge of Atlantic salmon reveals distinct infection dynamics and mortality across ten HPR-deleted infectious salmon anaemia virus isolates.

Infectious salmon anaemia virus with highly polymorphic region deletions (ISAV-HPR{Delta}) is classified as pathogenic, yet field outbreaks display wide variation in disease severity. To determine the extent of inherent virulence differences among ISAV-HPR{Delta} isolates, we conducted a standardized freshwater bath challenge in Atlantic salmon using ten isolates, including the high-virulent reference strain NO/Glesvaer/2/90 and nine recent Norwegian field isolates. Cumulative mortality, infection kinetics, tissue viral loads, shedding, and pathological changes were characterised through RT-qPCR, histopathology, immunohistochemistry, and flow cytometry. All isolates established systemic infection, but exhibited pronounced differences in infection dynamics, virus shedding, clinical signs, and pathological outcomes. Cumulative mortality ranged from 15% to 100%, allowing separation of isolates into high- ([&ge;]90%), moderate- (40-50%), and low-mortality (<20%) categories. Isolates with high mortality showed rapid systemic spread, extensive endothelial infection, and significant pathology compatible with infectious salmon anaemia. Shedding profiles of virus to water differed substantially and were not clearly correlated with cumulative mortality, viral RNA load in tissues or mortality. High ISAV RNA was detected in water for the H16 isolate with [~]10 - 100-fold higher viral RNA than H20 and [A]. VA and S, although giving high mortality (>90%), had much lower (shedding (highest RNA range 1.1 - 3.6^102). Segment 5 and 6 sequencing confirmed that all isolates carried genetic mutations typical of pathogenic ISAV except [A], that have an atypical mutation in the putative protease cleavage site on segment 5. However, these mutations alone did not account for the wide biological continuum of mortality.

microbiology↗

Detection of Campylobacter in air samples from poultry houses using shot-gun metagenomics - a pilot study

BackgroundFoodborne pathogens such as Campylobacter jejuni are responsible for a large fraction of the gastrointestinal infections worldwide associated with poultry meat. Campylobacter spp. can be found in the chicken fecal microbiome and can contaminate poultry meat during the slaughter process. The current standard methods to detect these pathogens at poultry farms use fecal dropping or boot swaps in combination with cultivation / PCR. In this study, we have used air filters in combination with shotgun metagenomics for the detection of Campylobacter in poultry houses and MOCK communities to test the applicability of this approach for the detection of foodborne pathogens. ResultsThe spiked MOCK communities showed that we could detect as little as 200 CFU Campylobacter per sample using our protocols. Since we were interested in detecting Campylobacter, a DNA extraction protocol for Gram negative bacteria was chosen, and as expected, we found that the DNA extraction protocol created a substantial bias affecting the community composition of the MOCK communities. It can be expected that the same bias is present for poultry house samples analyzed. We observed significant amounts of Campylobacter on the air filters using both real-time PCR as well as shotgun metagenomics, irrespective of the amount of spiked in Campylobacter cells, suggesting that the flocks in both houses harboured Campylobacter spp.. Interestingly, in both houses we find diverse microbial communities present in the indoor air. In addition, have we tested the Campylobacter detection rate using shotgun metagenomics by spiking with different levels of C. jejuni cells in both the mock and the house samples. This showed that even with limited sequencing Campylobacter is detectable in samples with low abundance. ConclusionsThese results show that air sampling of poultry houses in combination with shotgun metagenomics can detect and identify Campylobacter spp. present at low levels. This is important since early detection of Campylobacter in food production can help to decrease the number of food-borne infections.

microbiology↗