Evidence map›Paper›PMID 34417469›Full record

ArticleScientific reports2021

Metagenomic characterization of swine slurry in a North American swine farm operation.

Akshaya Ramesh, Emily S Bailey, Vida Ahyong, Charles Langelier, Maira Phelps, Norma Neff, Rene Sit, Cristina Tato, Joseph L DeRisi, Annette G Greer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Picobirnavirus: how do you find where it's hiding?Critical reviews in microbiology · 2026
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  9. Viral pathogen detection in U.S. game-farm mallard (Frontiers in veterinary science · 2024
    Article
  10. Article
  11. Article
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  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 3 countries.

Akshaya Ramesh *Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA.
Emily S Bailey *Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA. emily.bailey@ttuhsc.edu.
Vida AhyongChan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
Charles LangelierChan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
Maira PhelpsChan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
Norma NeffChan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
Rene SitChan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
Cristina TatoChan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
Joseph L DeRisiChan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
Annette G GreerDepartment of Bioethics and Interdisciplinary Studies, Brody School of Medicine, North Carolina Agromedicine Institute, East Carolina University, Greenville, NC, USA.
Gregory C GrayDivision of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA.
Chan Zuckerberg Initiative (United States) · USDuke Institute for Health Innovation · USDuke University · USEast Carolina University · USTexas Tech University Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern day large-scale, high-density farming environments are inherently susceptible to viral outbreaks, inadvertently creating conditions that favor increased pathogen transmission and potential zoonotic spread. Metagenomic sequencing has proven to be a useful tool for characterizing the microbial burden in both people, livestock, and environmental samples. International efforts have been successful at characterizing pathogens in commercial farming environments, especially swine farms, however it is unclear whether the full extent of microbial agents have been adequately captured or is representative of farms elsewhere. To augment international efforts we performed metagenomic next-generation sequencing on nine swine slurry and three environmental samples from a United States of America (U.S.A.) farm operation, characterized the microbial composition of slurry, and identified novel viruses. We assembled a remarkable total of 1792 viral genomes, of which 554 were novel/divergent. We assembled 1637 Picobirnavirus genome segments, of which 538 are novel. In addition, we discovered 10 new viruses belonging to a novel taxon: porcine Statoviruses; which have only been previously reported in human, macaques, mouse, and cows. We assembled 3 divergent Posaviruses and 3 swine Picornaviruses. In addition to viruses described, we found other eukaryotic genera such as Entamoeba and Blastocystis, and bacterial genera such as Listeria, Treponema, Peptoclostridium and Bordetella in the slurry. Of these, two species Entamoeba histolytica and Listeria monocytogenes known to cause human disease were detected. Further, antimicrobial resistance genes such as tetracycline and MLS (macrolide, lincosamide, streptogramin) were also identified. Metagenomic surveillance in swine fecal slurry has great potential for novel and antimicrobial resistant pathogen detection.

Indexed as

FarmsMetagenomicsAnimalsBacteriaDrug Resistance, BacterialFecesGenes, BacterialGenes, ViralHigh-Throughput Nucleotide SequencingSwineViruses

Identifiers

PMID34417469
PMCPMC8379149
OpenAlexW3195986658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.