ABSTRACT
The mi-iuy croaker Miichthys miiuy has immense commercial value in the Republic of Korea. The red drum Sciaenops ocellatus is widely produced by aquaculture, although its price is approximately 25% that of M. miiuy. S. ocellatus has black spots on its tail, enabling it to be distinguished from M. miiuy based on appearance. However, identifying S. ocellatus after simple processing steps, such as skin removal and dicing, is difficult. Certain traders misrepresent and sell S. ocellatus as M. miiuy or cultured M. miiuy for illegal economical gain. Therefore, an accurate and rapid identification method is required to distinguish between M. miiuy and S. ocellatus in the field. Here, a method for rapid field identification was developed based on species-specific primers using a portable ultra-fast PCR instrument. The ultra-fast real-time PCR method can complete the entire analytical procedure, including DNA isolation, amplification, and detection, within 30 min, thus maintaining the accuracy of identifying M. miiuy and S. ocellatus products on site. Forty-nine commercial products were tested, and all samples were successfully identified. Thus, the developed method is rapid, efficient tool for ensuring consumer protection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10068-021-00954-4.
ABSTRACT
Lettuce (Lactuca sativa L.) is a major ingredient used in many food recipes in South Korea. Lettuce samples were collected during their maximum production period between April and July in order to investigate the microbiota of lettuce during different seasons. 16S rRNA gene-based sequencing was conducted using Illumina MiSeq, and real-time PCR was performed for quantification. The number of total bacterial was greater in lettuce collected in July than in that collected in April, albeit with reduced diversity. The bacterial compositions varied according to the site and season of sample collection. Potential pathogenic species such as Bacillus spp., Enterococcus casseliflavus, Klebsiella pneumoniae, and Pseudomonas aeruginosa showed season-specific differences. Results of the network co-occurrence analysis with core genera correlations showed characteristics of bacterial species in lettuce, and provided clues regarding the role of different microbes, including potential pathogens, in this microbiota. Although further studies are needed to determine the specific effects of regional and seasonal characteristics on the lettuce microbiota, our results imply that the 16S rRNA gene-based sequencing approach can be used to detect pathogenic bacteria in lettuce.