AI Article Synopsis

  • The study focuses on the viral community in agricultural slurry, specifically from dairy cattle manure in the UK, which is significant for understanding microbial ecosystems.
  • A hybrid sequencing method revealed 7,682 viral operational taxonomic units (vOTUs) with a dominant presence of novel lytic bacteriophages, showing high stability in the slurry virome over a 5-month period.
  • The research found diverse viral functions, including agriculturally relevant genes and crAssphages, highlighting the complex role of viruses in crop field microbiomes.

Article Abstract

Background: Viruses are the most abundant biological entities on Earth, known to be crucial components of microbial ecosystems. However, there is little information on the viral community within agricultural waste. There are currently ~ 2.7 million dairy cattle in the UK producing 7-8% of their own bodyweight in manure daily, and 28 million tonnes annually. To avoid pollution of UK freshwaters, manure must be stored and spread in accordance with guidelines set by DEFRA. Manures are used as fertiliser, and widely spread over crop fields, yet little is known about their microbial composition. We analysed the virome of agricultural slurry over a 5-month period using short and long-read sequencing.

Results: Hybrid sequencing uncovered more high-quality viral genomes than long or short-reads alone; yielding 7682 vOTUs, 174 of which were complete viral genomes. The slurry virome was highly diverse and dominated by lytic bacteriophage, the majority of which represent novel genera (~ 98%). Despite constant influx and efflux of slurry, the composition and diversity of the slurry virome was extremely stable over time, with 55% of vOTUs detected in all samples over a 5-month period. Functional annotation revealed a diverse and abundant range of auxiliary metabolic genes and novel features present in the community, including the agriculturally relevant virulence factor VapE, which was widely distributed across different phage genera that were predicted to infect several hosts. Furthermore, we identified an abundance of phage-encoded diversity-generating retroelements, which were previously thought to be rare on lytic viral genomes. Additionally, we identified a group of crAssphages, including lineages that were previously thought only to be found in the human gut.

Conclusions: The cattle slurry virome is complex, diverse and dominated by novel genera, many of which are not recovered using long or short-reads alone. Phages were found to encode a wide range of AMGs that are not constrained to particular groups or predicted hosts, including virulence determinants and putative ARGs. The application of agricultural slurry to land may therefore be a driver of bacterial virulence and antimicrobial resistance in the environment. Video abstract.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981956PMC
http://dx.doi.org/10.1186/s40168-021-01010-3DOI Listing

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Article Synopsis
  • The study focuses on the viral community in agricultural slurry, specifically from dairy cattle manure in the UK, which is significant for understanding microbial ecosystems.
  • A hybrid sequencing method revealed 7,682 viral operational taxonomic units (vOTUs) with a dominant presence of novel lytic bacteriophages, showing high stability in the slurry virome over a 5-month period.
  • The research found diverse viral functions, including agriculturally relevant genes and crAssphages, highlighting the complex role of viruses in crop field microbiomes.
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Benchmarking protocols for the metagenomic analysis of stream biofilm viromes.

PeerJ

December 2019

Stream Biofilm and Ecosystem Research Laboratory, École Polytechnique Federale de Lausanne, Lausanne, Switzerland.

Viruses drive microbial diversity, function and evolution and influence important biogeochemical cycles in aquatic ecosystems. Despite their relevance, we currently lack an understanding of their potential impacts on stream biofilm structure and function. This is surprising given the critical role of biofilms for stream ecosystem processes.

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