Identification and characterization of probiotic lactic acid bacteria isolated from traditional persian pickled vegetables

Background: The pickle, a traditional fermented product, is popular among Iranians. Much research has been conducted worldwide on this food group. Due to a lack of related data in Iran, this study was conducted to isolate and identify dominant lactic acid bacteria (LAB) in pickles and salted pickles. Materials and methods: Seventy samples were collected from different regions of Iran. The isolated bacteria were identified as LAB by Gram staining and catalase by using MRS agar. Then, those strains were identified at the species level by physiological tests (e.g., gas production from glucose, arginine hydrolysis, CO(2) production from glucose in MRS broth, carbohydrate fermentation) and growth at temperatures of 15°C, 30°C, and 45°C in MRS broth for 3 days. The probiotic characteristics of these bacteria were studied using acid and bile tolerance. The corresponding results were verified using PCR analyses of the 16S rDNA region. Results: 114 presumptive lactic acid bacteria (LAB) with Gram-positive and catalase-negative properties were obtained from the samples. The results revealed that all isolated bacteria were identfied as Lactobacillus (L.) plantarum, L. brevis, L. pentosus, L. casei, L. paracasei and Leuconostoc mesenteroides. The predominant LAB in these pickles was L. plantarum, which was isolated from most of the samples. Among the 114 LAB, 7 isolated species have probiotic potential. Six out of seven were recognized as L. plantarum and one remained unidentifiable by biochemical testing. PCR analysis and sequencing of the 16S rDNA region using 27f and 1522r primers showed that all of the probiotic strains were L. plantarum. Conclusion: The results of this study showed that the dominant LAB in traditional Persian pickled vegetables are L. plantarum, L. brevis, L. pentosus, L. casei, L. paracasei, and Leuconostoc mesenteroides. Moreover, L. plantarum was recognized as a probiotic species in pickled vegetables. The raw data obtained from this study can be used in the pickling industry to improve the nutritional value of products.