A multiplex real-time RT-PCR system to simultaneously diagnose 16 pathogens associated with swine respiratory disease.

Autor:	Goto Y; Central Iwate Prefectural Livestock Health and Hygiene Center, Takizawa, Iwate 020-0605, Japan., Fukunari K; Central Iwate Prefectural Livestock Health and Hygiene Center, Takizawa, Iwate 020-0605, Japan., Tada S; Central Iwate Prefectural Livestock Health and Hygiene Center, Takizawa, Iwate 020-0605, Japan., Ichimura S; Central Iwate Prefectural Livestock Health and Hygiene Center, Takizawa, Iwate 020-0605, Japan., Chiba Y; Central Iwate Prefectural Livestock Health and Hygiene Center, Takizawa, Iwate 020-0605, Japan., Suzuki T; Division of Zoonosis Research, Sapporo Research Station, National Institute of Animal Health, NARO, Sapporo, Hokkaido 062-0045, Japan.
Jazyk:	angličtina
Zdroj:	Journal of applied microbiology [J Appl Microbiol] 2023 Nov 01; Vol. 134 (11).
DOI:	10.1093/jambio/lxad263
Abstrakt:	Aims: Swine respiratory disease (SRD) is a major disease complex in pigs that causes severe economic losses. SRD is associated with several intrinsic and extrinsic factors such as host health status, viruses, bacteria, and environmental factors. Particularly, it is known that many pathogens are associated with SRD to date, but most of the test to detect those pathogens can be normally investigated only one pathogen while taking time and labor. Therefore, it is desirable to develop rapidly and efficiently detectable methods those pathogens to minimize the damage caused by SRD. Methods and Results: We designed a multiplex real-time RT-PCR (RT-qPCR) system to diagnose simultaneously 16 pathogens, including nine viruses and seven bacteria associated with SRD, on the basis of single qPCR and RT-qPCR assays reported in previous studies. Multiplex RT-qPCR system we designed had the same ability to single RT-qPCR without significant differences in detection sensitivity for all target pathogens at minimum to maximum genomic levels. Moreover, the primers and probes used in this system had highly specificity because the sets had not been detected pathogens other than the target and its taxonomically related pathogens. Furthermore, our data demonstrated that this system would be useful to detect a causative pathogen in the diagnosis using oral fluid from healthy pigs and lung tissue from pigs with respiratory disorders collected in the field. Conclusions: The rapid detection of infected animals from the herd using our system will contribute to infection control and prompt treatment in the field. (© The Author(s) 2023. Published by Oxford University Press on behalf of Applied Microbiology International.)
Databáze:	MEDLINE
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