Scholarlink

Background <p><i>Mycoplasma gallisepticum</i> (MG) is a major pathogen that causes respiratory diseases 14in poultry, resulting in reduced production and severe economic losses. Current MG detection methods are time-consuming, labor-intensive, and expensive. Hence, the rapid and accurate detection of MG is critical for effective disease control. Therefore, this study aimed to develop a dual-mode diagnostic assay for sensitive and specific detection of MG by combining recombinase-aided amplification (RAA) with CRISPR/Cas12a technology. Conserved regions of the <i>mgc2</i> gene were used for primer and CRISPR RNA design, and the reaction conditions were optimized to maximize detection efficiency.</p> Results <p>The assay achieved a detection limit of 2 copies/µL and demonstrated high specificity against seven other common avian pathogens. Detection was visualized within 1&#xa0;h using either fluorescence or lateral flow dipstick. Moreover, clinical validation of chicken samples showed complete concordance with quantitative real-time polymerase chain reaction results. Furthermore, an epidemiological investigation revealed that chickens had the highest positivity rate for MG among chickens, ducks, and pigeons in Hubei Province.</p> Conclusions <p>This simple, rapid, field-deployable method is valuable for timely MG surveillance and effective disease management in poultry production.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A rapid and field-deployable RAA-CRISPR/Cas12a platform for detection of Mycoplasma gallisepticum in poultry

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月13日

查看全文
  • Qiao Hu,
  • Rongrong Zhang,
  • Jiaying Liu,
  • Wenting Zhang,
  • Xia Liao,
  • Yunqing Guo,
  • Qin Lu,
  • Bokai Yang,
  • Tengfei Zhang,
  • Xinguo Zhai,
  • Qingping Luo

摘要

Background

Mycoplasma gallisepticum (MG) is a major pathogen that causes respiratory diseases 14in poultry, resulting in reduced production and severe economic losses. Current MG detection methods are time-consuming, labor-intensive, and expensive. Hence, the rapid and accurate detection of MG is critical for effective disease control. Therefore, this study aimed to develop a dual-mode diagnostic assay for sensitive and specific detection of MG by combining recombinase-aided amplification (RAA) with CRISPR/Cas12a technology. Conserved regions of the mgc2 gene were used for primer and CRISPR RNA design, and the reaction conditions were optimized to maximize detection efficiency.

Results

The assay achieved a detection limit of 2 copies/µL and demonstrated high specificity against seven other common avian pathogens. Detection was visualized within 1 h using either fluorescence or lateral flow dipstick. Moreover, clinical validation of chicken samples showed complete concordance with quantitative real-time polymerase chain reaction results. Furthermore, an epidemiological investigation revealed that chickens had the highest positivity rate for MG among chickens, ducks, and pigeons in Hubei Province.

Conclusions

This simple, rapid, field-deployable method is valuable for timely MG surveillance and effective disease management in poultry production.