Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, Sichuan, PR China; Institute of Marine Biology, College of Oceanography, Hohai University, Nanjing, Jiangsu, PR China; Department of Food Science and Technology, Robert Mondavi Institute for Wine and Food Science, University of California, Davis, CA 95616, USA.
Institute of Marine Biology, College of Oceanography, Hohai University, Nanjing, Jiangsu, PR China.
Environ Pollut. 2019 Nov;254(Pt B):113058. doi: 10.1016/j.envpol.2019.113058. Epub 2019 Aug 14.
Dairy cattle of different ages experience different living conditions and varied frequency of antibiotic administration that likely influence the distribution of microbiome and resistome in ways that reflect different risks of microbial transmission. To assess the degree of variance in these distributions, fecal and soil samples were collected from six distinct housing areas on commercial dairy farms (n = 7) in Washington State. 16S rRNA gene sequencing indicated that the microbiota differed between different on-farm locations in feces and soil, and in both cases, the microbiota of dairy calves was often distinct from others (P < 0.05). Thirty-two specific antibiotic resistance genes (ARGs) were widely distributed on dairies, of which several clinically relevant ARGs (including cfr, cfrB, and optrA) were identified for the first time at U.S. dairies. Overall, ARGs were observed more frequently in feces and soil from dairy calves and heifers than from hospital, fresh, lactation and dry pens. Droplet-digital PCR demonstrated that the absolute abundance of floR varied greatly across housing areas and this gene was enriched the most in calves and heifers. Furthermore, in an extended analysis with 14 dairies, environmental soils in calf pens had the most antibiotic-resistant Escherichia coli followed by heifer and hospital pens. All soil E. coli isolates (n = 1,905) are resistant to at least 4 different antibiotics, and the PFGE analysis indicated that florfenicol-resistant E. coli is probably shared across geographically-separated farms. This study identified a discrete but predictable distribution of antibiotic resistance genes and organisms, which is important for designing mitigation for higher risk areas on dairy farms.
不同年龄的奶牛经历不同的生活条件和不同频率的抗生素管理,这可能以反映微生物传播不同风险的方式影响微生物组和抗性组的分布。为了评估这些分布的变化程度,从华盛顿州商业奶牛场的六个不同的养殖区域(n=7)收集了粪便和土壤样本。16S rRNA 基因测序表明,粪便和土壤中不同农场位置的微生物群不同,在这两种情况下,奶牛犊牛的微生物群通常与其他微生物群不同(P<0.05)。32 种特定的抗生素抗性基因(ARGs)广泛分布在奶牛场,其中包括 cfr、cfrB 和 optrA 等几种临床相关的 ARGs,这是在美国奶牛场首次发现。总的来说,ARGs 在奶牛犊牛和小母牛的粪便和土壤中比在医院、新鲜、泌乳和干燥畜栏中更常见。液滴数字 PCR 表明,floR 的绝对丰度在不同的养殖区域差异很大,该基因在犊牛和小母牛中最丰富。此外,在对 14 个奶牛场的扩展分析中,犊牛畜栏中的环境土壤中含有最多的抗药性大肠杆菌,其次是小母牛和医院畜栏。所有土壤大肠杆菌分离株(n=1,905)至少对 4 种不同的抗生素具有抗性,PFGE 分析表明,氟苯尼考抗性大肠杆菌可能在地理上分离的农场之间共享。本研究确定了抗生素抗性基因和生物体的离散但可预测的分布,这对于设计奶牛场高风险区域的缓解措施非常重要。