Evidence map›Paper›PMID 32709938›Full record

ArticleScientific reports2020

Sierra Nevada sweep: metagenomic measurements of bioaerosols vertically distributed across the troposphere.

Crystal Jaing, James Thissen, Michael Morrison, Michael B Dillon, Samantha M Waters, Garrett T Graham, Nicholas A Be, Patrick Nicoll, Sonali Verma, Tristan Caro and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

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  11. Compositional Data Analysis of 16S rRNA Gene Sequencing Results from Hospital Airborne Microbiome Samples.International journal of environmental research and public health · 2022
    Article
  12. Vertical stratification of the air microbiome in the lower troposphere.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. 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.

Crystal JaingPhysical & Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA. jaing2@llnl.gov.
James ThissenPhysical & Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
Michael MorrisonPhysical & Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
Michael B DillonPhysical & Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
Samantha M WatersUniversities Space Research Association, Maryland, USA.
Garrett T GrahamGeorgetown University Medical Center, Washington, DC, USA.
Nicholas A BePhysical & Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
Patrick NicollUniversity of Victoria, Victoria, BC, Canada.
Sonali VermaBlue Marble Space Institute of Science, Space Bioscences Division, NASA Ames Research Center, Moffett Field, CA, USA.
Tristan CaroDepartment of Geological Sciences, University of Colorado, Boulder, CO, USA.
David J SmithNASA Ames Research Center, Space Biosciences Division, Moffett Field, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore how airborne microbial patterns change with height above the Earth's surface, we flew NASA's C-20A aircraft on two consecutive days in June 2018 along identical flight paths over the US Sierra Nevada mountain range at four different altitudes ranging from 10,000 ft to 40,000 ft. Bioaerosols were analyzed by metagenomic DNA sequencing and traditional culturing methods to characterize the composition and diversity of atmospheric samples compared to experimental controls. The relative abundance of taxa changed significantly at each altitude sampled, and the diversity profile shifted across the two sampling days, revealing a regional atmospheric microbiome that is dynamically changing. The most proportionally abundant microbial genera were Mycobacterium and Achromobacter at 10,000 ft; Stenotrophomonas and Achromobacter at 20,000 ft; Delftia and Pseudoperonospora at 30,000 ft; and Alcaligenes and Penicillium at 40,000 ft. Culture-based detections also identified viable Bacillus zhangzhouensis, Bacillus pumilus, and Bacillus spp. in the upper troposphere. To estimate bioaerosol dispersal, we developed a human exposure likelihood model (7-day forecast) using general aerosol characteristics and measured meteorological conditions. By coupling metagenomics to a predictive atmospheric model, we aim to set the stage for field campaigns that monitor global bioaerosol emissions and impacts.

Identifiers

PMID32709938
PMCPMC7382458

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Registered trials

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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.