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Updated: Mar 29, 2026
Optimized PCR-based Detection of Mycoplasma
Published on: June 20, 2011
High-throughput colorimetric LAMP detection of Mycoplasma gallisepticum with intelligent algorithm-assisted analysis
Wuyang Jing1, Qianyi Cai1, Yucen Liang1
1National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, Key Laboratory of Zoonoses, Ministry of Agriculture, Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China. junfeng-v@163.com.
Abstract:
Mycoplasma gallisepticum (MG) is a common and harmful pathogen in the poultry farming industry. Early detection is essential for effective prevention and control of MG. To meet the demand for high-throughput detection in resource-limited testing environments, a colorimetric loop-mediated isothermal amplification (LAMP) assay based on the cresol red indicator was developed. This method enables visual analysis by detecting hydrogen ions produced during the LAMP reaction, causing a color shift from magenta to yellow. The assay successfully detected MG at concentrations as low as 1.07 × 102 copies per µL within 70 min, with no cross-reactivities against other avian respiratory pathogens. It demonstrated stability and reliability, with a coefficient of variation (CV) below 5% across repeated experiments. Additionally, an intelligent software program based on the LAB color space algorithm was developed to complement this assay. The digital analysis function enhances detection precision and facilitates high-throughput analysis by processing up to 64 samples simultaneously. Validation with clinical samples from intensive farms showed a 98% concordance rate with qPCR results (κ > 0.9), confirming the method's accuracy. Consequently, the colorimetric LAMP assay in this study not only accurately identifies MG but also provides an intelligent, high-throughput detection platform for MG detection.
Insights
A new colorimetric loop-mediated isothermal amplification (LAMP) assay offers rapid, visual detection of Mycoplasma gallisepticum (MG) in poultry. This high-throughput method, enhanced by intelligent software, aids early disease control in farming.
Area of Science:
- Veterinary Microbiology
- Molecular Diagnostics
- Biotechnology
Background:
- Mycoplasma gallisepticum (MG) poses a significant threat to poultry health and the farming industry.
- Early and efficient detection of MG is crucial for disease management and prevention.
- Existing diagnostic methods may not be suitable for high-throughput or resource-limited settings.
Purpose of the Study:
- To develop a rapid, visual, and high-throughput diagnostic assay for Mycoplasma gallisepticum (MG).
- To create an intelligent detection platform for enhanced precision and scalability in MG diagnosis.
- To validate the assay's performance against established methods using clinical samples.
Main Methods:
- Development of a cresol red-based colorimetric loop-mediated isothermal amplification (LAMP) assay for MG detection.
- Utilizing visual color change (magenta to yellow) indicating LAMP reaction progress and MG presence.
- Integration of intelligent software employing LAB color space algorithms for digital analysis and high-throughput sample processing (up to 64 samples).
Main Results:
- The colorimetric LAMP assay detected MG down to 1.07 × 10^2 copies/µL within 70 minutes.
- The assay showed no cross-reactivity with other common avian respiratory pathogens.
- High stability and reliability were demonstrated, with a coefficient of variation (CV) below 5%.
- Validation with clinical samples showed 98% concordance with qPCR results (κ > 0.9).
Conclusions:
- The developed colorimetric LAMP assay provides an accurate and sensitive method for MG detection.
- The integrated intelligent software enables high-throughput analysis and enhances diagnostic precision.
- This assay represents a valuable tool for early MG detection and control in the poultry industry, particularly in resource-limited environments.
