The health of dairy animals, particularly the milk-producing mammary glands, is essential to the dairy industry because of the crucial hygienic and economic aspects of ensuring production of high quality milk. Due to its high prevalence, mastitis is considered the most important threat to dairy industry, due to its impacts on animal health and milk production and thus on economic benefits. The MG is protected by several defence mechanisms that prevent microbial penetration and surveillance. However, several factors can attenuate the host immune response (IR), and the possession of various virulence and resistance factors by different mastitis-causing microorganisms greatly limits immune defences and promotes establishment of intramammary infections (IMIs). A comprehensive understanding of MG immunity in both healthy and inflammatory conditions will be an important key to understand the nature of IMIs caused by specific pathogens and greatly contributes to the development of effective control methods and appropriate detection techniques. Consequently, this review aims to provide a detailed overview of antimicrobial defences in the MG under healthy and inflammatory conditions. In this sense, we will focus on pathogen-dependent variations in IRs mounted by the host during IMI and discuss the potential ramifications of these variations.

Species differentiation is important for the early detection and identification of pathogenic and food-spoilage microorganisms that may be present in fish and seafood products. The main 26 species of seafood spoilage and pathogenic Gram-negative bacteria, including Aeromonas hydrophila, Acinetobacter baumanii, Pseudomonas spp., and Enterobacter spp. among others, were characterized by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) of low molecular weight proteins extracted from intact bacterial cells by a fast procedure. From the acquired spectra, a library of specific mass spectral fingerprints was constructed. To analyze spectral fingerprints, peaks in the mass range of 2000-10 000 Da were considered and representative mass lists of 10-35 peak masses were compiled. At least one unique biomarker peak was observed for each species, and various genus-specific peaks were detected for genera Proteus, Providencia, Pseudomonas, Serratia, Shewanella, and Vibrio. Phyloproteomic relationships based on these data were compared to phylogenetic analysis based on the 16S rRNA gene, and a similar clustering was found. The method was also successfully applied for the identification of three bacterial strains isolated from seafood by comparing the spectral fingerprints with the created library of reference fingerprints. Thus, the proteomic approach demonstrated to be a competent tool for species identification.

The rapid identification of food pathogenic and spoilage bacteria is important to ensure food quality and safety. Seafood contaminated with pathogenic bacteria is one of the major causes of food intoxications, and the rapid spoilage of seafood products results in high economic losses. In this study, a collection of the main seafood pathogenic and spoilage Gram-positive bacteria was compiled, including Bacillus spp., Listeria spp., Clostridium spp., Staphylococcus spp. and Carnobacterium spp. The strains, belonging to 20 different species, were obtained from the culture collections and studied by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). A reference library was created, including the spectral fingerprints of 32 reference strains and the extracted peak lists with 10-30 peak masses. Genus-specific as well as species-specific peak masses were assigned and could serve as biomarkers for the rapid bacterial identification. Furthermore, the peak mass lists were clustered with the web-application SPECLUST to show the phyloproteomic relationships among the studied strains. Afterwards, the method was successfully applied to identify six strains isolated from seafood by comparison with the reference library. Additionally, phylogenetic analysis based on the 16S rRNA gene was carried out and contrasted with the proteomic approach. This is the first time MALDI-TOF MS fingerprinting is applied to Gram-positive bacterial identification in seafood, being a fast and accurate technique to ensure seafood quality and safety.

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