ArticleEnvironmental pollution (Barking, Essex : 1987)2019
Dairy farm soil presents distinct microbiota and varied prevalence of antibiotic resistance across housing areas.
Article in Environmental pollution (Barking, Essex : 1987), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 38 citations in OpenAlex.
- Design and evaluation of a streamlined enrichment method for faster co-detection of enteric bacterial pathogens in natural soils and environmental samples.medRxiv : the preprint server for health sciences · 2026Article
- Explore the Contamination of Antibiotic Resistance Genes (ARGs) and Antibiotic-Resistant Bacteria (ARB) of the Processing Lines at Typical Broiler Slaughterhouse in China.Foods (Basel, Switzerland) · 2025Article
- The Microbial Diversity and Traceability Analysis of Raw Milk from Buffalo Farms at Different Management Ranks in Guangxi Province.Foods (Basel, Switzerland) · 2024Article
- Characterization of bovine vaginal microbiota using 16S rRNA sequencing: associations with host fertility, longevity, health, and production.Scientific reports · 2024Article
- Daily occupational exposure in swine farm alters human skin microbiota and antibiotic resistome.iMeta · 2024Article
- Soil Component: A Potential Factor Affecting the Occurrence and Spread of Antibiotic Resistance Genes.Antibiotics (Basel, Switzerland) · 2023Review
- Excreted Antibiotics May Be Key to Emergence of Increasingly Efficient Antibiotic Resistance in Food Animal Production.Applied and environmental microbiology · 2022Article
- Article
- Comparative study of subcutaneous, intramuscular, and oral administration of bovine pathogenicFrontiers in immunology · 2022Article
- Prevalence and distribution of extended-spectrum β-lactamase and AmpC-producingFrontiers in microbiology · 2022Article
- Metagenomic insights into the antibiotic resistomes of typical Chinese dairy farm environments.Frontiers in microbiology · 2022Article
- Article
- Monitoring and Characteristics of Major Mastitis Pathogens from Bulk Tank Milk in Korea.Animals : an open access journal from MDPI · 2020Article
- Metagenomic Analysis of the Microbial Communities and Resistomes of Veal Calf Feces.Frontiers in microbiology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
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.
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