Abstract

Over the past decades, antimicrobial resistance (AMR) has been recognized as one of the most serious threats to public health. Although originally considered a problem to human health, the emerging crisis of AMR requires a “One Health” approach, considering human, animal, and environmental reservoirs. In this regard, the extensive use of antibiotics in the livestock production systems to treat mastitis and other bacterial diseases can lead to the presence of AMR genes in bacteria that contaminate or naturally occur in milk and dairy products, thereby introducing them into the food chain. The recent development of high-throughput next-generation sequencing (NGS) technologies is improving the fast characterization of microbial communities and their functional capabilities. In this context, whole metagenome sequencing (WMS), also called shotgun metagenomic sequencing, allows the generation of a vast amount of data which can be interrogated to generate the desired evidence, including the resistome. However, the amount of host DNA poses a major challenge to metagenome analysis. Given the current absence of literature concerning the application of WMS on milk to detect the presence of AMR genes, in the present study, we evaluated the effect of different sequencing depths, host DNA depletion methods and matrices to characterize the resistome of a milk production environment. WMS was conducted on three aliquots of bulk tank milk and three aliquots of the in-line milk filter collected from a single dairy farm; a fourth aliquot of milk and milk filter was bioinformatically subsampled. Two commercially available host DNA depletion methods were applied, and metagenomic DNA was sequenced to two different sequencing depth. Milk filters proved to be the most suitable matrices to evaluate the presence of AMR genes; besides, the pre-extraction host DNA depletion method was the most efficient approach to remove host reads. To our knowledge, this is the first study to evaluate the limitations posed by the host DNA in investigating the milk resistome with a WMS approach, confirming the circulation of AMR genes in the milk production environment.

Highlights

  • The increasing prevalence of antimicrobial resistance (AMR) in bacteria is one of the most serious threats to public health (Schrijver et al, 2018)

  • As a result of the rapid evolution of next-generation sequencing (NGS) technologies, a wide range of approaches is available for the characterization of microbial communities in food matrices; the whole metagenomic DNA needs to be extracted and sequenced to gain useful information on the AMR genes content (Addis et al, 2016)

  • The milk sample and the in-line milk filter revealed a different proportion of host DNA, with a higher percentage of reads associated to the bovine genome in milk aliquots than in filter aliquots, regardless of sequencing depth and enrichment treatment

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Summary

Introduction

The increasing prevalence of antimicrobial resistance (AMR) in bacteria is one of the most serious threats to public health (Schrijver et al, 2018). Originally considered a problem to human health, the emerging crisis of AMR requires a one health approach, considering human, animal, and environmental reservoirs (Van Puyvelde et al, 2018). In this regard, of particular concern is the high use of antibiotics in livestock production systems, as it is known that the emergence and selection of resistant bacteria can be associated to the antimicrobial administration due to ecological pressure. Culture-independent methods have many potential advantages; among them, whole metagenome sequencing (WMS), called shotgun metagenomic sequencing, is accomplished by unrestricted sequencing of the genomes of all the microorganisms within a sample, including uncultured ones, allowing the generation of a large amount of data which can be interrogated to evaluate the presence of AMR genes (Zaheer et al, 2018)

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