Identification of Leuconostoc species based on novel marker genes identified using real-time PCR via computational pangenome analysis.

Leuconostoc species are important microorganisms in food fermentation but also cause food spoilage. Although these species are commercially important, their taxonomy is still based on inaccurate identification methods. Here, we used computational pangenome analysis to develop a real-time PCR-based method for identifying and differentiating the 12 major Leuconostoc species found in food. Analysis of pan and core-genome phylogenies showed clustering of strains into 12 distinct groups according to the species. Pangenome analysis of 130 Leuconostoc genomes from these 12 species enabled the identification of each species-specific gene. In silico testing of the species-specific genes against 143 publicly available Leuconostoc and 100 other lactic acid bacterial genomes showed that all the assays had 100% inclusivity/exclusivity. We also verified the specificity for each primer pair targeting each specific gene using 23 target and 124 non-target strains and found high specificity (100%). The sensitivity of the real-time PCR method was 102 colony forming units (CFUs)/ml in pure culture and spiked food samples. All standard curves showed good linear correlations, with an R 2 value of ≥0.996, suggesting that screened targets have good specificity and strong anti-interference ability from food sample matrices and non-target strains. The real-time PCR method can be potentially used to determine the taxonomic status and identify the Leuconostoc species in foods.

Identification of novel molecular targets for Weissella species-specific real-time PCR based on pangenome analysis.

Some Weissella species are used in probiotic products because of their beneficial effects in humans, whereas some species are considered as opportunistic pathogens that cause infections in humans. Therefore, an accurate and rapid identification of Weissella species is essential to control pathogenic Weissella species or isolate new functional strains with probiotic effects from their habitat. The objective of our study was to extract novel molecular targets using pangenome analysis for the identification of major Weissella species present in food. With 50 genomes representing 11 Weissella species, novel molecular targets were mined based on their 100% presence in the respective strains of the target species and absence in the strains of non-target bacteria. Primers based on molecular targets showed positive results for the corresponding species, whereas 79 non-target strains showed negative results. Standard curves revealed good linearity in the range of 103-108 colony-forming units per reaction. Our method was successfully applied to 74 Weissella strains isolated from food samples to demonstrate that the molecular targets provided a viable alternative to the 16S rRNA sequence. Furthermore, it was possible to identify and quantify Weissella communities in fermented foods. These results demonstrate that our method can be used for effective and accurate screening for the presence of Weissella species in foods. KEY POINTS: • This is first study to mine novel targets for differentiating 11 Weissella species. • The novel targets showed higher resolution than the 16S rRNA gene sequence. • The PCR method effectively detected Weissella species with opposing properties.