Project description:Korean effective microorganisms (KEM) comprise a commercial microbial complex originating from the microorganisms found in traditional Korean fermented foods, including kimchi. Using next-generation sequencing (NGS) technology, the complete genome sequence of Lentilactobacillus parabuchneri, considered a major species of KEM, was assembled. L. parabuchneri strains display large numbers of single nucleotide polymorphisms (SNPs) and indels, including gene deletions.
Project description:Foodborne pathogenic microorganisms form biofilms at abiotic surfaces, which is a particular challenge in food processing industries. The complexity of biofilm formation requires a fundamental understanding on the involved molecular mechanisms, which may then lead to efficient prevention strategies. In the present study, biogenic amine producing bacteria, i.e., Lentilactobacillus parabuchneri DSM 5987 strain isolated from cheese were studied in respect with biofilm formation, which is of substantial relevance given their contribution to the presence of histamine in dairy products. While scanning electron microscopy was used to investigate biofilm adhesion at stainless steel surfaces, in situ infrared attenuated total reflection spectroscopy (IR-ATR) using a custom flow-through assembly was used for real-time and non-destructive observations of biofilm formation during a period of several days. The spectral window of 1700-600 cm-1 provides access to vibrational signatures characteristic for identifying and tracking L. parabuchneri biofilm formation and maturation. Especially, the amide I and II bands, lactic acid produced as the biofilm matures, and a pronounced increase of bands characteristic for extracellular polymeric substances (EPS) provide molecular insight into biofilm formation, maturation, and changes in biofilm architecture. Finally, multivariate data evaluation strategies were applied facilitating the unambiguous classification of the observed biofilm changes via IR spectroscopic data.
Project description:BackgroundLentilactobacillus parabuchneri is of particular concern in fermented food bioprocessing due to causing unwanted gas formation, cracks, and off-flavor in fermented dairy foods. This species is also a known culprit of histamine poisonings because of decarboxylating histidine to histamine in ripening cheese. Twenty-eight genomes in NCBI GenBank were evaluated via comparative analysis to determine genomic diversity within this species and identify potential avenues for reducing health associated risks and economic losses in the food industry caused by these organisms.ResultCore genome-based phylogenetic analysis revealed four distinct major clades. Eight dairy isolates, two strains from an unknown source, and a saliva isolate formed the first clade. Three out of five strains clustered on clade 2 belonged to dairy, and the remaining two strains were isolated from the makgeolli and Korean effective microorganisms (KEM) complex. The third and fourth clade members were isolated from Tete de Moine and dairy-associated niches, respectively. Whole genome analysis on twenty-eight genomes showed ~ 40% of all CDS were conserved across entire strains proposing a considerable diversity among L. parabuchneri strains analyzed. After assigning CDS to their corresponding function, ~ 79% of all strains were predicted to carry putative intact prophages, and ~ 43% of the strains harbored at least one plasmid; however, all the strains were predicted to encode genomic island, insertion sequence, and CRISPR-Cas system. A type I-E CRISPR-Cas subgroup was identified in all the strains, with the exception of DSM15352, which carried a type II-A CRISPR-Cas system. Twenty strains were predicted to encode histidine decarboxylase gene cluster that belongs to not only dairy but also saliva, KEM complex, and unknown source. No bacteriocin-encoding gene(s) or antibiotic resistome was found in any of the L. parabuchneri strains screened.ConclusionThe findings of the present work provide in-depth knowledge of the genomics of L. parabuchneri by comparing twenty-eight genomes available to date. For example, the hdc gene cluster was generally reported in cheese isolates; however, our findings in the current work indicated that it could also be encoded in those strains isolated from saliva, KEM complex, and unknown source. We think prophages are critical mobile elements of L. parabuchneri genomes that could pave the way for developing novel tools to reduce the occurrence of this unwanted species in the food industry.