Effects of different laying periods on airborne bacterial diversity and antibiotic resistance genes in layer hen houses

抵抗性 室内生物气溶胶 厚壁菌 生物 梭杆菌门 微生物群 拟杆菌 抗生素耐药性 蛋白质细菌 基因组 微生物学 细菌 细菌门 兽医学 抗生素 动物 生态学 16S核糖体RNA 整合子 基因 遗传学 医学
作者
Huan Cui,Cheng Zhang,Kui Zhao,Juxiang Liu,Jie Pu,Yunyi Kong,Shuying Dong,Ligong Chen,Yue Zhao,Yanyan Chen,Zhaoliang Chen,Lei Zhang,Zhongyi Wang,Zhendong Guo
出处
期刊:International Journal of Hygiene and Environmental Health [Elsevier BV]
卷期号:251: 114173-114173 被引量:1
标识
DOI:10.1016/j.ijheh.2023.114173
摘要

Poultry farms are a complex environment for close contact between humans and animals. Accumulating evidence has indicated that pathogens and drug resistance genes in chicken houses may pose a serious threat to public health and economic concerns. However, insufficient knowledge of the indoor aerosol microbiome and resistome profiles of layer hen houses hampers the understanding of their health effects. Environmental surveillance of antibiotic resistance may contribute to a better understanding and management of the human exposure risk of bioaerosols under the environmental conditions of chicken houses. In addition, the chicken house has a long operation cycle, and the bacterial diversity and antibiotic resistance genes of aerosols in different periods may be different. In this study, air samples were collected from 18 chicken houses on three farms, including the early laying period (EL), peak laying period (PL), and late laying period (LL). 16S rRNA gene sequencing and metagenomics were used to study the composition of the bacteria and resistome in aerosols of layer hen houses and the results showed that they varied with laying period. The highest alpha diversity of bacteria was observed in PL bioaerosols. The dominant bacterial phyla included Firmicutes, Bacteroidetes and Proteobacteria. Three potential pathogenic bacterial genera (Bacteroides, Corynebacterium and Fusobacterium) were found. The most abundant ARG type was aminoglycosides in all laying periods. In total, 22 possible ARG host genera were detected. ARG subtypes and abundance were both higher in LL. Network analysis also showed higher co-occurrence patterns between the bacteria and resistome in bioaerosols. The laying period plays an important role in the bacterial community and resistome in layer house aerosols.
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