Development of a Droplet Digital PCR for Detection of Trichuriasis in Sheep.


Journal

The Journal of parasitology
ISSN: 1937-2345
Titre abrégé: J Parasitol
Pays: United States
ID NLM: 7803124

Informations de publication

Date de publication:
01 10 2020
Historique:
entrez: 30 9 2020
pubmed: 1 10 2020
medline: 3 2 2021
Statut: ppublish

Résumé

Trichuriasis is a serious threat to the economic development of animal husbandry. This research aimed to establish a droplet digital PCR (ddPCR) method to detect Trichuris spp. for the early diagnosis and prevention of trichuriasis in sheep. The real-time quantitative PCR (qPCR) and ddPCR methods were used for the detection of nematodes by targeted amplification of the ITS gene. Each means was evaluated to optimize the limit of detection and reproducibility. For a recombinant plasmid, the qPCR results showed that the detection limit was 31.7 copies per reaction. In contrast to qPCR, ddPCR was able to detect concentrations below 3.17 copies per reaction. Both assays exhibited good reproducibility. However, the ddPCR method was more stable for low-copy-number detection. This new assay was specific for Trichuris spp. and did not cross-react with other relevant gastrointestinal nematodes. A total of 98 clinical samples were tested with both assays. The results showed that the positive rate of ddPCR (80.6%) was higher than that of qPCR (72.4%). This method could be used as an efficient molecular biology tool to test for Trichuris spp. and could be a new valuable tool for the clinical diagnosis and prevention of trichuriasis.

Identifiants

pubmed: 32997756
pii: 444391
doi: 10.1645/20-16
doi:

Substances chimiques

DNA, Helminth 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

603-610

Informations de copyright

© American Society of Parasitologists 2020.

Auteurs

Zhichao Yu (Z)

Department of Veterinary Medicine, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, Guangdong, China.
Technology Center, Hohhot Customs District, Hohhot, 010020, Inner Mongolia, China.

Zhiguo Zhao (Z)

Technology Center, Hohhot Customs District, Hohhot, 010020, Inner Mongolia, China.

Linjun Chen (L)

Technology Center, Hohhot Customs District, Hohhot, 010020, Inner Mongolia, China.

Junyan Li (J)

Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China.

Xianghong Ju (X)

Department of Veterinary Medicine, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, Guangdong, China.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH