Evidence map›Paper›PMID 30935423›Full record

ArticleMicrobiome2019

Seasonal dynamics of DNA and RNA viral bioaerosol communities in a daycare center.

Aaron J Prussin, Pedro J Torres, John Shimashita, Steven R Head, Kyle J Bibby, Scott T Kelley, Linsey C Marr

Abstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Shotgun metagenomics on indoor air for surveillance of respiratory, enteric, and skin viruses in a Belgian daycare setting, January to December 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Unraveling the role of the microbiome in chronic rhinosinusitis.The Journal of allergy and clinical immunology · 2022
    Review
  20. 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

7 authors.

Aaron J PrussinDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, USA. aprussin@vt.edu.ORCID 0000-0002-9991-8537
Pedro J TorresDepartment of Biology, San Diego State University, San Diego, CA, 92182, USA.
John ShimashitaNext Generation Sequencing and Microarray Core Facility, The Scripps Research Institute, La Jolla, CA, 92037, USA.
Steven R HeadNext Generation Sequencing and Microarray Core Facility, The Scripps Research Institute, La Jolla, CA, 92037, USA.
Kyle J BibbyDepartment of Civil and Environmental Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
Scott T KelleyDepartment of Biology, San Diego State University, San Diego, CA, 92182, USA.
Linsey C MarrDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.

Funding

The Role of Pathogen-Environment Interactions in the Pandemic Potential of InfluenzaDP2AI112243 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MARR, LINSEY · 2013 to 2016
$2.4M
NIAID NIH HHS DP2 AI112243
6 · The paper itself

Abstract

backgroundViruses play an important role in ecosystems, including the built environment (BE). While numerous studies have characterized bacterial and fungal microbiomes in the BE, few have focused on the viral microbiome (virome). Longitudinal microbiome studies provide insight into the stability and dynamics of microbial communities; however, few such studies exist for the microbiome of the BE, and most have focused on bacteria. Here, we present a longitudinal, metagenomic-based analysis of the airborne DNA and RNA virome of a children's daycare center. Specifically, we investigate how the airborne virome varies as a function of season and human occupancy, and we identify possible sources of the viruses and their hosts, mainly humans, animals, plants, and insects.

resultsSeason strongly influenced the airborne viral community composition, and a single sample collected when the daycare center was unoccupied suggested that occupancy also influenced the community. The pattern of influence differed between DNA and RNA viromes. Human-associated viruses were much more diverse and dominant in the winter, while the summertime virome contained a high relative proportion and diversity of plant-associated viruses.

conclusionsThis airborne microbiome in this building exhibited seasonality in its viral community but not its bacterial community. Human occupancy influenced both types of communities. By adding new data about the viral microbiome to complement burgeoning information about the bacterial and fungal microbiomes, this study contributes to a more complete understanding of the airborne microbiome.

Indexed as

Air MicrobiologyBacteriaChild Day Care CentersChild, PreschoolDNA, ViralFemaleHigh-Throughput Nucleotide SequencingHumansInfantLongitudinal StudiesMaleMetagenomicsPhylogenyRNA, ViralSeasonsSequence Analysis, DNADNA, ViralRNA, ViralBioaerosolBuilt environmentMetagenomicsVirome

Identifiers

PMID30935423
PMCPMC6444849

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.