Geographic source estimation using airborne plant environmental DNA in dust

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 airborn...

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Autores principales:	Chelsea Lennartz, Joel Kurucar, Stephen Coppola, Janice Crager, Johanna Bobrow, Laura Bortolin, James Comolli
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/69aeba7e27b64fb7904788a09ce101dc
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spelling	oai:doaj.org-article:69aeba7e27b64fb7904788a09ce101dc2021-12-02T19:06:38ZGeographic source estimation using airborne plant environmental DNA in dust10.1038/s41598-021-95702-32045-2322https://doaj.org/article/69aeba7e27b64fb7904788a09ce101dc2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95702-3https://doaj.org/toc/2045-2322Abstract 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 km2 of the collection point) with 47.6% (20 of 42) of the samples analyzed. Attribution accuracy and resolution was dependent on the number of plant species identified in a dust sample, which was greatly affected by the season of collection. In dust samples that yielded a minimum of 20 identified plant species, positive regional attribution was achieved with 66.7% (16 of 24 samples). For broader demonstration, citizen-collected dust samples collected from 31 diverse U.S. sites were analyzed, and trace plant eDNA provided relevant regional attribution information on provenance in 32.2% of samples. This showed that analysis of airborne plant eDNA in settled dust can provide an accurate estimate regional provenance within the U.S., and relevant forensic information, for a substantial fraction of samples analyzed.Chelsea LennartzJoel KurucarStephen CoppolaJanice CragerJohanna BobrowLaura BortolinJames ComolliNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chelsea Lennartz Joel Kurucar Stephen Coppola Janice Crager Johanna Bobrow Laura Bortolin James Comolli Geographic source estimation using airborne plant environmental DNA in dust
description	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 km2 of the collection point) with 47.6% (20 of 42) of the samples analyzed. Attribution accuracy and resolution was dependent on the number of plant species identified in a dust sample, which was greatly affected by the season of collection. In dust samples that yielded a minimum of 20 identified plant species, positive regional attribution was achieved with 66.7% (16 of 24 samples). For broader demonstration, citizen-collected dust samples collected from 31 diverse U.S. sites were analyzed, and trace plant eDNA provided relevant regional attribution information on provenance in 32.2% of samples. This showed that analysis of airborne plant eDNA in settled dust can provide an accurate estimate regional provenance within the U.S., and relevant forensic information, for a substantial fraction of samples analyzed.
format	article
author	Chelsea Lennartz Joel Kurucar Stephen Coppola Janice Crager Johanna Bobrow Laura Bortolin James Comolli
author_facet	Chelsea Lennartz Joel Kurucar Stephen Coppola Janice Crager Johanna Bobrow Laura Bortolin James Comolli
author_sort	Chelsea Lennartz
title	Geographic source estimation using airborne plant environmental DNA in dust
title_short	Geographic source estimation using airborne plant environmental DNA in dust
title_full	Geographic source estimation using airborne plant environmental DNA in dust
title_fullStr	Geographic source estimation using airborne plant environmental DNA in dust
title_full_unstemmed	Geographic source estimation using airborne plant environmental DNA in dust
title_sort	geographic source estimation using airborne plant environmental dna in dust
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/69aeba7e27b64fb7904788a09ce101dc
work_keys_str_mv	AT chelsealennartz geographicsourceestimationusingairborneplantenvironmentaldnaindust AT joelkurucar geographicsourceestimationusingairborneplantenvironmentaldnaindust AT stephencoppola geographicsourceestimationusingairborneplantenvironmentaldnaindust AT janicecrager geographicsourceestimationusingairborneplantenvironmentaldnaindust AT johannabobrow geographicsourceestimationusingairborneplantenvironmentaldnaindust AT laurabortolin geographicsourceestimationusingairborneplantenvironmentaldnaindust AT jamescomolli geographicsourceestimationusingairborneplantenvironmentaldnaindust
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Geographic source estimation using airborne plant environmental DNA in dust

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