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Leveraging eDNA to expand the study of hybrid zones
Hybrid zones are important windows into ecological and evolutionary processes. Our understanding of the significance and prevalence of hybridization in nature has expanded with the generation and analysis of genome‐spanning data sets. That said, most hybridization research still has restricted tempo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496085/ https://www.ncbi.nlm.nih.gov/pubmed/32557920 http://dx.doi.org/10.1111/mec.15514 |
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author | Stewart, Kathryn A. Taylor, Scott A. |
author_facet | Stewart, Kathryn A. Taylor, Scott A. |
author_sort | Stewart, Kathryn A. |
collection | PubMed |
description | Hybrid zones are important windows into ecological and evolutionary processes. Our understanding of the significance and prevalence of hybridization in nature has expanded with the generation and analysis of genome‐spanning data sets. That said, most hybridization research still has restricted temporal and spatial resolution, which limits our ability to draw broad conclusions about evolutionary and conservation related outcomes. Here, we argue that rapidly advancing environmental DNA (eDNA) methodology could be adopted for studies of hybrid zones to increase temporal sampling (contemporary and historical), refine and geographically expand sampling density, and collect data for taxa that are difficult to directly sample. Genomic data in the environment offer the potential for near real‐time biological tracking of hybrid zones, and eDNA provides broad, but as yet untapped, potential to address eco‐evolutionary questions. |
format | Online Article Text |
id | pubmed-7496085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74960852020-09-25 Leveraging eDNA to expand the study of hybrid zones Stewart, Kathryn A. Taylor, Scott A. Mol Ecol News and Views Hybrid zones are important windows into ecological and evolutionary processes. Our understanding of the significance and prevalence of hybridization in nature has expanded with the generation and analysis of genome‐spanning data sets. That said, most hybridization research still has restricted temporal and spatial resolution, which limits our ability to draw broad conclusions about evolutionary and conservation related outcomes. Here, we argue that rapidly advancing environmental DNA (eDNA) methodology could be adopted for studies of hybrid zones to increase temporal sampling (contemporary and historical), refine and geographically expand sampling density, and collect data for taxa that are difficult to directly sample. Genomic data in the environment offer the potential for near real‐time biological tracking of hybrid zones, and eDNA provides broad, but as yet untapped, potential to address eco‐evolutionary questions. John Wiley and Sons Inc. 2020-07-07 2020-08 /pmc/articles/PMC7496085/ /pubmed/32557920 http://dx.doi.org/10.1111/mec.15514 Text en © 2020 The Authors. Molecular Ecology published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | News and Views Stewart, Kathryn A. Taylor, Scott A. Leveraging eDNA to expand the study of hybrid zones |
title | Leveraging eDNA to expand the study of hybrid zones |
title_full | Leveraging eDNA to expand the study of hybrid zones |
title_fullStr | Leveraging eDNA to expand the study of hybrid zones |
title_full_unstemmed | Leveraging eDNA to expand the study of hybrid zones |
title_short | Leveraging eDNA to expand the study of hybrid zones |
title_sort | leveraging edna to expand the study of hybrid zones |
topic | News and Views |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496085/ https://www.ncbi.nlm.nih.gov/pubmed/32557920 http://dx.doi.org/10.1111/mec.15514 |
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