Evidence map›Paper›PMID 30735594›Full record

ArticleMolecular ecology resources2019

Bioaerosol biomonitoring: Sampling optimization for molecular microbial ecology.

Robert M W Ferguson, Sonia Garcia-Alcega, Frederic Coulon, Alex J Dumbrell, Corinne Whitby, Ian Colbeck

Abstract read
In one paragraph

Article in Molecular ecology resources, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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

6 authors.

Robert M W FergusonSchool of Biological Sciences, University of Essex, Colchester, UK.ORCID https://orcid.org/0000-0001-7966-8350
Sonia Garcia-AlcegaSchool of Water, Energy and Environment, Cranfield University, Cranfield, UK.ORCID https://orcid.org/0000-0002-2854-6334
Frederic CoulonSchool of Water, Energy and Environment, Cranfield University, Cranfield, UK.ORCID https://orcid.org/0000-0002-4384-3222
Alex J DumbrellSchool of Biological Sciences, University of Essex, Colchester, UK.ORCID https://orcid.org/0000-0001-6282-3043
Corinne WhitbySchool of Biological Sciences, University of Essex, Colchester, UK.ORCID https://orcid.org/0000-0003-1998-2748
Ian ColbeckSchool of Biological Sciences, University of Essex, Colchester, UK.ORCID https://orcid.org/0000-0001-5668-1309

Funding

Natural Environment Research Council NE/M010813/1
6 · The paper itself

Abstract

Bioaerosols (or biogenic aerosols) have largely been overlooked by molecular ecologists. However, this is rapidly changing as bioaerosols play key roles in public health, environmental chemistry and the dispersal ecology of microbes. Due to the low environmental concentrations of bioaerosols, collecting sufficient biomass for molecular methods is challenging. Currently, no standardized methods for bioaerosol collection for molecular ecology research exist. Each study requires a process of optimization, which greatly slows the advance of bioaerosol science. Here, we evaluated air filtration and liquid impingement for bioaerosol sampling across a range of environmental conditions. We also investigated the effect of sampling matrices, sample concentration strategies and sampling duration on DNA yield. Air filtration using polycarbonate filters gave the highest recovery, but due to the faster sampling rates possible with impingement, we recommend this method for fine -scale temporal/spatial ecological studies. To prevent bias for the recovery of Gram-positive bacteria, we found that the matrix for impingement should be phosphate-buffered saline. The optimal method for bioaerosol concentration from the liquid matrix was centrifugation. However, we also present a method using syringe filters for rapid in-field recovery of bioaerosols from impingement samples, without compromising microbial diversity for high -throughput sequencing approaches. Finally, we provide a resource that enables molecular ecologists to select the most appropriate sampling strategy for their specific research question.

Indexed as

AerosolsAir MicrobiologyBacteriaEnvironmental MonitoringAerosolsairborne microorganismsbioaerosol samplingbiomonitoringfiltersimpingementnext - sequencing

Identifiers

PMID30735594
PMCPMC6850074

What OpenQuestion holds

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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.