Simultaneous Detection and Differentiation of Four Eimeria Species in Chickens (E. tenella, E. maxima, E. necatrix, and E. acervulina) Using a Multiplex TaqMan-MGB qPCR Assay

Chicken coccidiosis is a major parasitic disease in poultry that causes substantial economic losses worldwide. The accurate and simultaneous diagnosis of mixed infections with multiple <i>Eimeria</i> species remains challenging using conventional methods. In this study, we developed a multiplex TaqMan-MGB qPCR assay targeting the ITS1 region for simultaneous detection and quantification of four major pathogenic species: <i>E. acervulina</i>, <i>E. necatrix</i>, <i>E. maxima</i>, and <i>E. tenella.</i> The assay exhibited high specificity without cross-reactivity and achieved a sensitivity 100-fold greater than conventional PCR, with detection limits ranging from 10<sup>1</sup> to 10<sup>2</sup> copies/μL. Standard curves demonstrated strong linearity (R<sup>2</sup> ≥ 0.95) and amplification efficiency (95-113%). Repeatability was robust, with intra- and inter-assay CVs below 2%. Applied to 165 clinical samples collected from poultry farms in Fujian Province, China (2022-2024), the assay detected an overall <i>Eimeria</i> infection rate of 93.3%, higher than conventional PCR (89.7%). Epidemiological analysis revealed <i>E. tenella</i> (78.8%, [130/165]) and <i>E. necatrix</i> (78.8%, [130/165]) were dominant, while mixed infections were frequent (83.3%, [136/154]), including dual (45.5%, [70/154]), triple (31.2%, [48/154]), and quadruple (11.7%, [18/154]) infections. This multiplex TaqMan-MGB qPCR provides a rapid, sensitive, and quantitative tool for detecting multiple <i>Eimeria</i> species, greatly improving diagnostic efficiency and supporting clinical diagnosis, surveillance, and control strategies.

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Publication Details

Journal
Animals
Published
2025-09-25
DOI
https://doi.org/10.3390/ani15192792
Citations
1
Primary Topic
Coccidia and coccidiosis research
Type
article
Field-Weighted Citation Impact
1.19
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article

Simultaneous Detection and Differentiation of Four Eimeria Species in Chickens (E. tenella, E. maxima, E. necatrix, and E. acervulina) Using a Multiplex TaqMan-MGB qPCR Assay

Min Zheng, Bin Jiang, Xiaoli Chen, Wei You et al.
1 citations
Animals
Coccidia and coccidiosis research
1.19
article

Simultaneous Detection and Differentiation of Four Eimeria Species in Chickens (E. tenella, E. maxima, E. necatrix, and E. acervulina) Using a Multiplex TaqMan-MGB qPCR Assay

Min Zheng, Bin Jiang, Xiaoli Chen, Wei You, Shenghui Wu, Cai Xi
article en
1 citations

Abstract

Chicken coccidiosis is a major parasitic disease in poultry that causes substantial economic losses worldwide. The accurate and simultaneous diagnosis of mixed infections with multiple <i>Eimeria</i> species remains challenging using conventional methods. In this study, we developed a multiplex TaqMan-MGB qPCR assay targeting the ITS1 region for simultaneous detection and quantification of four major pathogenic species: <i>E. acervulina</i>, <i>E. necatrix</i>, <i>E. maxima</i>, and <i>E. tenella.</i> The assay exhibited high specificity without cross-reactivity and achieved a sensitivity 100-fold greater than conventional PCR, with detection limits ranging from 10<sup>1</sup> to 10<sup>2</sup> copies/μL. Standard curves demonstrated strong linearity (R<sup>2</sup> ≥ 0.95) and amplification efficiency (95-113%). Repeatability was robust, with intra- and inter-assay CVs below 2%. Applied to 165 clinical samples collected from poultry farms in Fujian Province, China (2022-2024), the assay detected an overall <i>Eimeria</i> infection rate of 93.3%, higher than conventional PCR (89.7%). Epidemiological analysis revealed <i>E. tenella</i> (78.8%, [130/165]) and <i>E. necatrix</i> (78.8%, [130/165]) were dominant, while mixed infections were frequent (83.3%, [136/154]), including dual (45.5%, [70/154]), triple (31.2%, [48/154]), and quadruple (11.7%, [18/154]) infections. This multiplex TaqMan-MGB qPCR provides a rapid, sensitive, and quantitative tool for detecting multiple <i>Eimeria</i> species, greatly improving diagnostic efficiency and supporting clinical diagnosis, surveillance, and control strategies.

AnimalsVol. 15(19)
Sanming Agricultural Science Research Institute (CN), Rural Resources (US), Fujian Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 20%
Coccidia and coccidiosis research
1.19
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