Evidence map›Paper›PMID 34376726›Full record

ArticleScientific reports2021

Geographic source estimation using airborne plant environmental DNA in dust.

Chelsea Lennartz, Joel Kurucar, Stephen Coppola, Janice Crager, Johanna Bobrow, Laura Bortolin, James Comolli

Abstract read
PubMed Full text at PMC Publisher
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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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

7 authors.

Chelsea LennartzMIT Lincoln Laboratory, 244 Wood Street, Lexington, MA, 02421, USA.
Joel KurucarMIT Lincoln Laboratory, 244 Wood Street, Lexington, MA, 02421, USA.
Stephen CoppolaMIT Lincoln Laboratory, 244 Wood Street, Lexington, MA, 02421, USA.
Janice CragerMIT Lincoln Laboratory, 244 Wood Street, Lexington, MA, 02421, USA.
Johanna BobrowMIT Lincoln Laboratory, 244 Wood Street, Lexington, MA, 02421, USA.
Laura BortolinMercy Bioanalytics, 700 Main Street, Cambridge, MA, 02139, USA.
James ComolliMIT Lincoln Laboratory, 244 Wood Street, Lexington, MA, 02421, USA. james.comolli@ll.mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information obtained from the analysis of dust, particularly biological particles such as pollen, plant parts, and fungal spores, has great utility in forensic geolocation. As an alternative to manual microscopic analysis of dust components, we developed a pipeline that utilizes the airborne plant environmental DNA (eDNA) in settled dust to estimate geographic origin. Metabarcoding of settled airborne eDNA was used to identify plant species whose geographic distributions were then derived from occurrence records in the USGS Biodiversity in Service of Our Nation (BISON) database. The distributions for all plant species identified in a sample were used to generate a probabilistic estimate of the sample source. With settled dust collected at four U.S. sites over a 15-month period, we demonstrated positive regional geolocation (within 600 km

Indexed as

BiodiversitySeasonsDNA Barcoding, TaxonomicDNA, EnvironmentalDNA, PlantDustEnvironmental MonitoringPlantsDNA, EnvironmentalDNA, PlantDust

Identifiers

PMID34376726
PMCPMC8355115

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.