Literature DB >> 28903867

Detection accuracy of Renibacterium salmoninarum in Chinook salmon, Oncorhynchus tshawytscha (Walbaum) from non-lethally collected samples: Effects of exposure route and disease severity.

Carolyn A Richards1, Cheryl A Murphy2, Travis O Brenden3, Thomas P Loch4, Mohamed Faisal5.   

Abstract

Bacterial kidney disease (BKD), caused by Renibacterium salmoninarum, threatens salmonid populations throughout the Northern hemisphere. Many fishery regulatory authorities require ongoing disease monitoring in hatcheries and spawning runs prior to gamete collection to prevent BKD outbreaks and spread. According to diagnostic protocols of the American Fisheries Society-Fish Health Section, monitoring for R. salmoninarum generally consists of lethal sampling of visceral organs from fish. However, non-lethal sampling would be preferable, especially for valuable broodstock or endangered species. In this study, non-lethal sampling methods were evaluated for their ability to detect R. salmoninarum in Chinook salmon (Oncorhynchus tshawytscha) that were experimentally infected via two different routes (e.g., intraperitoneal injection and waterborne immersion) to mimic acute and chronic disease courses. Non-lethal (e.g., blood, mucus, and a urine/feces mixture) and lethal (e.g., kidney and spleen homogenate) samples were collected from challenged and mock-challenged Chinook salmon and the presence of R. salmoninarum was assessed by culture on modified kidney disease medium, nested polymerase chain reaction (nPCR), and semi-quantitative enzyme-linked immunosorbent assay (ELISA). Sensitivity, specificity, and accuracy of lethal and non-lethal samples in detecting R. salmoninarum were calculated using receiver operating characteristic (ROC) analyses. For ROC analyses, true disease status was evaluated under two different assumptions: 1) that lethal samples represented the true disease status and 2) that all experimentally challenged fish were truly infected. We found that sensitivity and specificity of non-lethal samples depended upon time of sampling after experimental infection, sample type, and R. salmoninarum exposure route. Uro-fecal samples had the greatest potential as non-lethal samples compared to mucus and blood. In terms of future monitoring, combining lethal samples tested by ELISA assay with uro-fecal samples tested by nPCR could be the best strategy for detecting R. salmoninarum prevalence in a population as it reduces the overall number of fish required for sampling. Published by Elsevier B.V.

Entities:  

Keywords:  Bacterial kidney disease; Chinook salmon; Non-lethal sampling; Receiver operating characteristic analysis; Renibacterium salmoninarum

Mesh:

Year:  2017        PMID: 28903867     DOI: 10.1016/j.prevetmed.2017.06.001

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  4 in total

1.  Renibacterium salmoninarum and Mycobacterium spp.: two bacterial pathogens present at low levels in wild brown trout (Salmo trutta fario) populations in Austrian rivers.

Authors:  M R Delghandi; S Menanteau-Ledouble; K Waldner; M El-Matbouli
Journal:  BMC Vet Res       Date:  2020-02-03       Impact factor: 2.741

2.  Evidence for the Use of Mucus Swabs to Detect Renibacterium salmoninarum in Brook Trout.

Authors:  Tawni B Riepe; Victoria Vincent; Vicki Milano; Eric R Fetherman; Dana L Winkelman
Journal:  Pathogens       Date:  2021-04-12

3.  Assessing the presence and spread of Renibacterium salmoninarum between farmed and wild fish in Sweden.

Authors:  David B Persson; Anna Aspán; Paulina Hysing; Eva Blomkvist; Eva Jansson; Ludvig Orsén; Hampus Hällbom; Charlotte Axén
Journal:  J Fish Dis       Date:  2022-01-29       Impact factor: 2.580

4.  Non-lethal sampling for the detection of Renibacterium salmoninarum by qPCR for diagnosis of bacterial kidney disease.

Authors:  Eva Jansson; Anna Aspán; Arianna Comin; Maj Hjort; Tomas Jinnerot; Charlotte Axén
Journal:  J Fish Dis       Date:  2022-04-01       Impact factor: 2.580

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.