Evaluation of PCR primers targeting the groEL gene for the specific detection of Streptococcus agalactiae in the context of aquaculture

WJ Leigh, RN Zadoks, A Jaglarz, JZ Costa, G Foster, KD Thompson

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Aims: The aim of this study was to design a set of primers for specific detection and identification of Streptococcus agalactiae in polymerase chain reaction (PCR) that can detect a diverse range of S. agalactiae isolates from different hosts and that it is capable of discriminating between S. agalactiae and other species that are closely related or potentially present in aquaculture environments, notably Streptococcus iniae. Methods and Results: Primers, based on the groEL2 gene of S. agalactiae, were shown to be epidemiologically sensitive to 97 isolates of S. agalactiae, representing 11 clonal complexes derived from piscine, terrestrial and aquatic mammalian host species. The primers were tested with 10 S. iniae isolates and 22 other comparator species with no cross-reaction observed after optimization of reaction conditions. They have a high analytical sensitivity, detecting as few as 10 copies of S. agalactiae genomic DNA per reaction and are capable of detecting the target in DNA extracted from the brains of infected fish. Conclusions: The primers proved suitable for the sensitive and specific detection of S. agalactiae from dairy-, human- and fish-related origins by PCR. Significance and Impact of the Study: Due to the importance of S. agalactiae as a pathogen, many PCR primers have been published for this bacterium, designed largely for its detection in dairy and human samples, but many cross- reacting with S. iniae. The ability to differentiate between S. agalactiae and S. iniae in aquaculture derived samples is important as both infect fish, causing similar disease symptoms and are phenotypically similar, yet control strategies and zoonotic risk are species specific.
Original languageEnglish
Pages (from-to)666 - 674
Number of pages9
JournalJournal of Applied Microbiology
Volume125
Issue number3
Early online date22 May 2018
DOIs
Publication statusFirst published - 22 May 2018

Bibliographical note

1032309
1032327

Keywords

  • Aquaculture
  • Detection
  • Fish (live)
  • Identification
  • Streptococci

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