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Geographic source estimation using airborne plant environmental DNA in dust
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 e...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355115/ https://www.ncbi.nlm.nih.gov/pubmed/34376726 http://dx.doi.org/10.1038/s41598-021-95702-3 |
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author | Lennartz, Chelsea Kurucar, Joel Coppola, Stephen Crager, Janice Bobrow, Johanna Bortolin, Laura Comolli, James |
author_facet | Lennartz, Chelsea Kurucar, Joel Coppola, Stephen Crager, Janice Bobrow, Johanna Bortolin, Laura Comolli, James |
author_sort | Lennartz, Chelsea |
collection | PubMed |
description | 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(2) 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 | Online Article Text |
id | pubmed-8355115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83551152021-08-11 Geographic source estimation using airborne plant environmental DNA in dust Lennartz, Chelsea Kurucar, Joel Coppola, Stephen Crager, Janice Bobrow, Johanna Bortolin, Laura Comolli, James Sci Rep Article 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(2) 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. Nature Publishing Group UK 2021-08-10 /pmc/articles/PMC8355115/ /pubmed/34376726 http://dx.doi.org/10.1038/s41598-021-95702-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lennartz, Chelsea Kurucar, Joel Coppola, Stephen Crager, Janice Bobrow, Johanna Bortolin, Laura Comolli, James Geographic source estimation using airborne plant environmental DNA in dust |
title | 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_short | Geographic source estimation using airborne plant environmental DNA in dust |
title_sort | geographic source estimation using airborne plant environmental dna in dust |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355115/ https://www.ncbi.nlm.nih.gov/pubmed/34376726 http://dx.doi.org/10.1038/s41598-021-95702-3 |
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