Dutta Avijit, Kiet Bach Tuan, Nhung Nguyen Thi, Higginson Ellen, Kermack Leanne, Thi Phuong Yen Nguyen, Phu Doan Hoang, Choisy Marc, Carrique-Mas Juan, Baker Stephen
Cambridge Institute for Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK.
Department of Microbiology and Veterinary Public Health, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.
JAC Antimicrob Resist. 2025 Jul 4;7(4):dlaf117. doi: 10.1093/jacamr/dlaf117. eCollection 2025 Aug.
Studies focussing on measuring antimicrobial resistance (AMR) rely on phenotyping or low throughput PCR detection of limited AMR genes (ARGs); high-throughput qPCR (HT-qPCR) may be a scalable approach for measuring AMR. We applied Fluidigm HT-qPCR to measure the impact of flock-level antimicrobial use (AMU) on genotypic AMR in the Mekong Delta area of Vietnam.
AMU-related data and pooled faecal samples were collected longitudinally from 20 meat chicken flocks, divided into flocks treated with antimicrobials and untreated controls. Samples were analysed for 94 ARGs using Fluidigm HT-qPCR. Normalized ARG abundance was measured in reference to 16S rRNA. A regression model was constructed to weigh the effect of AMU factors on AMR.
The frequency of ARGs per sample was significantly higher in antimicrobial treatment group chicken samples (56.4; 95% CI 55.3-57.6) compared with the controls (52.1, 95% CI 50.9-53.4). Similarly, the normalized ARG abundance was significantly greater in treatment flock samples (3.2; 95% CI 2.9-3.4) than in control samples (2.0; 95% CI 1.7-2.3), except for tetracycline ARGs. Overall, ARG frequency negatively correlated with the average ARG abundance ( = -0.27 and < 0.05). The time series analysis of ARG abundance revealed three distinct and equally prevalent patterns of ARG persistence. Among all the AMU factors, the number of antimicrobial classes and the total AMU duration showed the highest impact on flock ARG abundance.
The findings of this study highlight the utility of molecular AMR profiling in areas with heavy AMU for poultry production.
专注于测量抗菌药物耐药性(AMR)的研究依赖于表型分析或对有限数量的AMR基因(ARGs)进行低通量PCR检测;高通量定量PCR(HT-qPCR)可能是一种可扩展的测量AMR的方法。我们应用Fluidigm HT-qPCR来测量越南湄公河三角洲地区鸡群水平的抗菌药物使用(AMU)对基因型AMR的影响。
纵向收集20个肉鸡群的AMU相关数据和粪便混合样本,分为使用抗菌药物处理的鸡群和未处理的对照组。使用Fluidigm HT-qPCR对样本中的94种ARGs进行分析。以16S rRNA为参照测量标准化的ARG丰度。构建回归模型以衡量AMU因素对AMR的影响。
与对照组(52.1,95%置信区间50.9 - 53.4)相比,抗菌药物处理组鸡样本中每个样本的ARGs频率显著更高(56.4;95%置信区间55.3 - 57.6)。同样,除四环素类ARGs外,处理组鸡群样本中的标准化ARG丰度(3.2;95%置信区间2.9 - 3.4)显著高于对照组样本(2.0;95%置信区间1.7 - 2.3)。总体而言,ARG频率与平均ARG丰度呈负相关(r = -0.27,P < 0.05)。ARG丰度的时间序列分析揭示了三种不同且同样普遍的ARG持久性模式。在所有AMU因素中,抗菌药物种类数量和总AMU持续时间对鸡群ARG丰度的影响最大。
本研究结果凸显了分子AMR分析在禽类生产中AMU量大的地区的实用性。