Oysters are filter feeders that bioaccumulate bacteria in water while feeding. To evaluate the bacterial genomic DNA extracted from retail oyster tissues, including the gills and digestive glands, four isolation methods were used. Genomic DNA extraction was performed using the Allmag™ Blood Genomic DNA (Allrun, Shanghai, China), the MiniBEST Bacterial Genomic DNA Extraction kits (Takara, Dalian, China), and the phenol-chloroform and boiling lysis methods. The concentration of the genomic DNA was measured using a spectrophotometer. The purity of the genomic DNA was evaluated by PCR amplification of 16S rDNA followed by determining the cloning efficiency of the amplicon into the pMD19-T vector. Furthermore, the bacterial DNA quality was also evaluated by PCR assays using a pair of species-specific primers for Vibrio parahaemolyticus. Our results showed that the two commercial kits produced the highest purity of DNA, but with the lowest yields. The phenol-chloroform method produced the highest yield although it was time-consuming. The boiling lysis method was simple and cost effective; however, it was only suitable to isolate genomic DNA from bacteria present in retail samples following an enrichment step. The two commercial kits were good candidates for genomic DNA extraction from retail oyster tissues without enrichment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.