Nesse Live L, Forfang Kristin, Slettemeås Jannice Schau, Hagen Snorre, Sunde Marianne, Elameen Abdelhameed, Johannessen Gro, Stenrød Marianne, Tessema Girum Tadesse, Almvik Marit, Eiken Hans Geir
Department of Food Safety and Animal Health Research, Norwegian Veterinary Institute, N-1431 Ås, Norway.
Division of Environment and Natural Resources, Norwegian Institute of Bioeconomy Research (NIBIO), N-1431 Ås, Norway.
Microorganisms. 2024 Sep 6;12(9):1854. doi: 10.3390/microorganisms12091854.
The abundance and diversity of antimicrobial-resistant bacteria (ARB) and antimicrobial resistance genes (ARGs) in agricultural landscapes may be important for the spread of antimicrobial resistance (AMR) in the environment. The aim of this study was to apply screening methods for ARB and ARGs to investigate the impact of farming on the prevalence of AMR in a country with low antibiotic usage. We have analyzed samples (n = 644) from soil and wild terrestrial animals and plants (slugs, snails, mice, shrews, earthworms, and red clover) collected over two years in agricultural fields accompanied by nearby control areas with low human activity. All samples were investigated for the occurrence of 35 different ARGs using high-throughput quantitative PCR (HT-qPCR) on a newly developed DNA array. In addition, samples from the first year (n = 415) were investigated with a culture-based approach combined with whole-genome sequencing (WGS) to identify antimicrobial-resistant (AREC). ARGs were detected in 59.5% of all samples (2019 + 2020). AREC, which was only investigated in the 2019 samples, was identified in 1.9% of these. Samples collected in the autumn showed more ARGs and AREC than spring samples, and this was more pronounced for organic fields than for conventional fields. Control areas with low human activity showed lower levels of ARGs and a lack of AREC. The use of livestock manure was correlated with a higher level of ARG load than other farming practices. None of the soil samples contained antibiotics, and no association was found between AMR and the levels of metals or pesticides. High qualitative similarity between HT-qPCR and WGS, together with the positive controls to the validation of our 35 ARG assays, show that the microfluid DNA array may be an efficient screening tool on environmental samples. In conclusion, even in a country with a very low consumption of antimicrobials by production animals, our results support the hypothesis of these animals being a source of AREC and ARGs in agricultural environments, primarily through the use of manure.
农业景观中抗微生物细菌(ARB)和抗微生物抗性基因(ARG)的丰度和多样性可能对环境中抗微生物抗性(AMR)的传播具有重要意义。本研究的目的是应用ARB和ARG的筛选方法,调查在一个抗生素使用量较低的国家,农业对AMR流行的影响。我们分析了在两年时间里从农业田地及其附近人类活动较少的对照区域采集的土壤以及野生陆生动物和植物(蛞蝓、蜗牛、小鼠、鼩鼱、蚯蚓和红三叶草)样本(n = 644)。使用新开发的DNA芯片,通过高通量定量PCR(HT-qPCR)对所有样本中35种不同的ARG进行了检测。此外,对第一年的样本(n = 415)采用基于培养的方法结合全基因组测序(WGS)来鉴定抗微生物耐药菌(AREC)。在所有样本(2019年 + 2020年)的59.5%中检测到了ARG。仅在2019年样本中进行调查的AREC,在其中的1.9%中被鉴定出来。秋季采集的样本比春季样本显示出更多的ARG和AREC,这在有机田地中比在传统田地中更为明显。人类活动较少的对照区域显示出较低水平的ARG且未发现AREC。与其他农业做法相比,使用家畜粪便与更高水平的ARG负荷相关。土壤样本中均未含有抗生素,并且未发现AMR与金属或农药水平之间存在关联。HT-qPCR和WGS之间的高度定性相似性,以及对我们35种ARG检测方法验证的阳性对照,表明微流控DNA芯片可能是一种用于环境样本的高效筛选工具。总之,即使在一个生产动物抗菌药物消耗量极低的国家,我们的结果也支持这样的假设,即这些动物主要通过粪便的使用,成为农业环境中AREC和ARG的来源。