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Using metabarcoding to reveal and quantify plant-pollinator interactions
Given the ongoing decline of both pollinators and plants, it is crucial to implement effective methods to describe complex pollination networks across time and space in a comprehensive and high-throughput way. Here we tested if metabarcoding may circumvent the limits of conventional methodologies in...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891682/ https://www.ncbi.nlm.nih.gov/pubmed/27255732 http://dx.doi.org/10.1038/srep27282 |
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author | Pornon, André Escaravage, Nathalie Burrus, Monique Holota, Hélène Khimoun, Aurélie Mariette, Jérome Pellizzari, Charlène Iribar, Amaia Etienne, Roselyne Taberlet, Pierre Vidal, Marie Winterton, Peter Zinger, Lucie Andalo, Christophe |
author_facet | Pornon, André Escaravage, Nathalie Burrus, Monique Holota, Hélène Khimoun, Aurélie Mariette, Jérome Pellizzari, Charlène Iribar, Amaia Etienne, Roselyne Taberlet, Pierre Vidal, Marie Winterton, Peter Zinger, Lucie Andalo, Christophe |
author_sort | Pornon, André |
collection | PubMed |
description | Given the ongoing decline of both pollinators and plants, it is crucial to implement effective methods to describe complex pollination networks across time and space in a comprehensive and high-throughput way. Here we tested if metabarcoding may circumvent the limits of conventional methodologies in detecting and quantifying plant-pollinator interactions. Metabarcoding experiments on pollen DNA mixtures described a positive relationship between the amounts of DNA from focal species and the number of trnL and ITS1 sequences yielded. The study of pollen loads of insects captured in plant communities revealed that as compared to the observation of visits, metabarcoding revealed 2.5 times more plant species involved in plant-pollinator interactions. We further observed a tight positive relationship between the pollen-carrying capacities of insect taxa and the number of trnL and ITS1 sequences. The number of visits received per plant species also positively correlated to the number of their ITS1 and trnL sequences in insect pollen loads. By revealing interactions hard to observe otherwise, metabarcoding significantly enlarges the spatiotemporal observation window of pollination interactions. By providing new qualitative and quantitative information, metabarcoding holds great promise for investigating diverse facets of interactions and will provide a new perception of pollination networks as a whole. |
format | Online Article Text |
id | pubmed-4891682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48916822016-06-09 Using metabarcoding to reveal and quantify plant-pollinator interactions Pornon, André Escaravage, Nathalie Burrus, Monique Holota, Hélène Khimoun, Aurélie Mariette, Jérome Pellizzari, Charlène Iribar, Amaia Etienne, Roselyne Taberlet, Pierre Vidal, Marie Winterton, Peter Zinger, Lucie Andalo, Christophe Sci Rep Article Given the ongoing decline of both pollinators and plants, it is crucial to implement effective methods to describe complex pollination networks across time and space in a comprehensive and high-throughput way. Here we tested if metabarcoding may circumvent the limits of conventional methodologies in detecting and quantifying plant-pollinator interactions. Metabarcoding experiments on pollen DNA mixtures described a positive relationship between the amounts of DNA from focal species and the number of trnL and ITS1 sequences yielded. The study of pollen loads of insects captured in plant communities revealed that as compared to the observation of visits, metabarcoding revealed 2.5 times more plant species involved in plant-pollinator interactions. We further observed a tight positive relationship between the pollen-carrying capacities of insect taxa and the number of trnL and ITS1 sequences. The number of visits received per plant species also positively correlated to the number of their ITS1 and trnL sequences in insect pollen loads. By revealing interactions hard to observe otherwise, metabarcoding significantly enlarges the spatiotemporal observation window of pollination interactions. By providing new qualitative and quantitative information, metabarcoding holds great promise for investigating diverse facets of interactions and will provide a new perception of pollination networks as a whole. Nature Publishing Group 2016-06-03 /pmc/articles/PMC4891682/ /pubmed/27255732 http://dx.doi.org/10.1038/srep27282 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Pornon, André Escaravage, Nathalie Burrus, Monique Holota, Hélène Khimoun, Aurélie Mariette, Jérome Pellizzari, Charlène Iribar, Amaia Etienne, Roselyne Taberlet, Pierre Vidal, Marie Winterton, Peter Zinger, Lucie Andalo, Christophe Using metabarcoding to reveal and quantify plant-pollinator interactions |
title | Using metabarcoding to reveal and quantify plant-pollinator interactions |
title_full | Using metabarcoding to reveal and quantify plant-pollinator interactions |
title_fullStr | Using metabarcoding to reveal and quantify plant-pollinator interactions |
title_full_unstemmed | Using metabarcoding to reveal and quantify plant-pollinator interactions |
title_short | Using metabarcoding to reveal and quantify plant-pollinator interactions |
title_sort | using metabarcoding to reveal and quantify plant-pollinator interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891682/ https://www.ncbi.nlm.nih.gov/pubmed/27255732 http://dx.doi.org/10.1038/srep27282 |
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