Zhao Yan, Niu Yifan, Zhao Min, Huang Wanting, Qin Yanan
College of Smart Agriculture (Research Institute), Xinjiang University, Urumqi, China.
Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science & Technology, Urumqi, Xinjiang, China.
Front Microbiol. 2025 Jul 11;16:1595051. doi: 10.3389/fmicb.2025.1595051. eCollection 2025.
The issue of antibiotic resistance caused by antibiotic resistance genes (ARGs) has become a significant concern in environmental research in recent years, while raw milk is an important link in the food chain and has become one of the carriers and reservoirs of ARGs, which has not been taken seriously. This research employed high-throughput quantitative PCR and Illumina sequencing techniques targeting the 16S rRNA gene. These methods were used to examine the bacterial community composition and genes associated with antibiotic resistance in raw milk samples collected from the northwestern area of Xinjiang. An aggregate of 31 distinct resistance alleles were identified, with their abundance reaching as high as 3.70 × 10 copies per gram in the analyzed raw milk samples. Microorganisms harboring ARGs that confer resistance to beta-lactams, tetracyclines, aminoglycosides, and chloramphenicol derivatives were prevalent in raw milk. Procrustes analysis revealed a certain degree of correlation between the microbial community and the antibiotic resistance gene (ARG) profiles. Furthermore, network analysis demonstrated that and were the predominant phyla exhibiting co-occurrence relationships with specific ARGs. Combining the findings from Variance Partitioning Analysis (VPA), the distribution of ARGs was mainly driven by three factors: the combined effect of physicochemical properties and mobile genetic elements (MGEs) (33.5%), the interplay between physicochemical parameters and microbial communities (31.8%), and the independent contribution of physicochemical factors (20.7%). The study demonstrates that the overall abundance of ARGs correlates with physicochemical parameters, bacterial community composition, and the presence of MGEs. Furthermore, understanding these associations facilitates the evaluation of antibiotic resistance risks, thereby contributing to enhanced farm management practices and the assurance of food safety.
近年来,抗生素抗性基因(ARGs)引起的抗生素耐药性问题已成为环境研究中的一个重大关注点,而生乳是食物链中的一个重要环节,已成为ARGs的载体和储存库之一,但这一点尚未得到重视。本研究采用针对16S rRNA基因的高通量定量PCR和Illumina测序技术。这些方法用于检测从新疆西北部地区采集的生乳样本中的细菌群落组成以及与抗生素耐药性相关的基因。共鉴定出31个不同的抗性等位基因,在所分析的生乳样本中其丰度高达每克3.70×10拷贝。携带对β-内酰胺类、四环素类、氨基糖苷类和氯霉素衍生物具有抗性的ARGs的微生物在生乳中普遍存在。Procrustes分析表明微生物群落与抗生素抗性基因(ARG)谱之间存在一定程度的相关性。此外,网络分析表明, 和 是与特定ARGs呈现共现关系的主要门类。结合方差分解分析(VPA)的结果,ARGs的分布主要由三个因素驱动:理化性质和移动遗传元件(MGEs)的综合作用(33.5%)、理化参数与微生物群落之间的相互作用(31.8%)以及理化因素的独立贡献(20.7%)。该研究表明,ARGs的总体丰度与理化参数、细菌群落组成以及MGEs的存在相关。此外,了解这些关联有助于评估抗生素耐药性风险,从而有助于加强农场管理实践并确保食品安全。