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 language | English |
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Pages (from-to) | 666 - 674 |
Number of pages | 9 |
Journal | Journal of Applied Microbiology |
Volume | 125 |
Issue number | 3 |
Early online date | 22 May 2018 |
DOIs | |
Publication status | First published - 22 May 2018 |
Bibliographical note
10323091032327
Keywords
- Aquaculture
- Detection
- Fish (live)
- Identification
- Streptococci