Plant–animal interactions in the era of environmental DNA (eDNA)—A review
Abstract Plant–animal interactions (PAI) represent major channels of energy transfer through ecosystems, where both positive and antagonistic interactions simultaneously contribute to ecosystem functioning. Monitoring PAI therefore increases the understanding of environmental health, integrity, and...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2022-09-01
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Series: | Environmental DNA |
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Online Access: | https://doi.org/10.1002/edn3.308 |
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author | Pritam Banerjee Kathryn A. Stewart Caterina M. Antognazza Ingrid V. Bunholi Kristy Deiner Matthew A. Barnes Santanu Saha Héloïse Verdier Hideyuki Doi Jyoti Prakash Maity Michael W. Y. Chan Chien Yen Chen |
author_facet | Pritam Banerjee Kathryn A. Stewart Caterina M. Antognazza Ingrid V. Bunholi Kristy Deiner Matthew A. Barnes Santanu Saha Héloïse Verdier Hideyuki Doi Jyoti Prakash Maity Michael W. Y. Chan Chien Yen Chen |
author_sort | Pritam Banerjee |
collection | DOAJ |
description | Abstract Plant–animal interactions (PAI) represent major channels of energy transfer through ecosystems, where both positive and antagonistic interactions simultaneously contribute to ecosystem functioning. Monitoring PAI therefore increases the understanding of environmental health, integrity, and functioning, and studying complex interactions through accurate, cost‐effective sampling can aid in the management of detrimental anthropogenic impacts. Environmental DNA (eDNA)‐based monitoring represents an increasingly common, nondestructive approach for biodiversity monitoring, which could help to elucidate PAI. Here, we aim to provide an overall discussion on the potential of using eDNA to study PAI. We assessed the existing literature on this subject from 2009 to 2021 using a freely accessible web search tool. The search was conducted by using keywords involving eDNA and PAI, including both species‐specific and metabarcoding approaches, recovering 43 studies. We summarized the advantages and current limitations of such approaches, and we outline research priorities to improve future eDNA‐based methods for PAI analysis. Among the 43 studies identified using eDNA to measure PAI such as pollination, herbivory, mutualistic, and parasitic relationships, they have often identified higher taxonomic diversity in several direct comparisons with DNA‐based gut/bulk sampling and conventional survey methods. Research needs include the following: better understanding of the influencing factors of eDNA detection involved in PAI (e.g., eDNA degradation, origin, and types), methodological standardization (sampling methods and primer development), and more inclusive sequence reference databases. If these research priorities are addressed, it will have a significant impact to enable PAI biodiversity monitoring with eDNA. In the future, the implementation of eDNA methods to study PAI can particularly benefit the scalability of environmental biomonitoring surveys that are imperative for ecosystem health assessments. |
first_indexed | 2024-04-12T04:17:22Z |
format | Article |
id | doaj.art-093bf8e604ed4b61a607a53004607bbd |
institution | Directory Open Access Journal |
issn | 2637-4943 |
language | English |
last_indexed | 2024-04-12T04:17:22Z |
publishDate | 2022-09-01 |
publisher | Wiley |
record_format | Article |
series | Environmental DNA |
spelling | doaj.art-093bf8e604ed4b61a607a53004607bbd2022-12-22T03:48:21ZengWileyEnvironmental DNA2637-49432022-09-014598799910.1002/edn3.308Plant–animal interactions in the era of environmental DNA (eDNA)—A reviewPritam Banerjee0Kathryn A. Stewart1Caterina M. Antognazza2Ingrid V. Bunholi3Kristy Deiner4Matthew A. Barnes5Santanu Saha6Héloïse Verdier7Hideyuki Doi8Jyoti Prakash Maity9Michael W. Y. Chan10Chien Yen Chen11Department of Biomedical Sciences, Graduate Institute of Molecular Biology National Chung Cheng University Chiayi County TaiwanInstitute of Environmental Sciences Leiden University Leiden The NetherlandsDepartment of Theoretical and Applied Science University of Insubria Varese ItalyDepartment of Biology Indiana State University Terre Haute Indiana USADepartment of Environmental Systems Science ETH Zurich, Universitätstrasse Zurich SwitzerlandDepartment of Natural Resources Management Texas Tech University Lubbock Texas USAPost graduate department of Botany Bidhannagar College Kolkata IndiaLEHNA Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 Villeurbanne FranceGraduate School of Information Science University of Hyogo Kobe JapanDepartment of Earth and Environmental Sciences National Chung Cheng University Chiayi County TaiwanDepartment of Biomedical Sciences, Graduate Institute of Molecular Biology National Chung Cheng University Chiayi County TaiwanDepartment of Earth and Environmental Sciences National Chung Cheng University Chiayi County TaiwanAbstract Plant–animal interactions (PAI) represent major channels of energy transfer through ecosystems, where both positive and antagonistic interactions simultaneously contribute to ecosystem functioning. Monitoring PAI therefore increases the understanding of environmental health, integrity, and functioning, and studying complex interactions through accurate, cost‐effective sampling can aid in the management of detrimental anthropogenic impacts. Environmental DNA (eDNA)‐based monitoring represents an increasingly common, nondestructive approach for biodiversity monitoring, which could help to elucidate PAI. Here, we aim to provide an overall discussion on the potential of using eDNA to study PAI. We assessed the existing literature on this subject from 2009 to 2021 using a freely accessible web search tool. The search was conducted by using keywords involving eDNA and PAI, including both species‐specific and metabarcoding approaches, recovering 43 studies. We summarized the advantages and current limitations of such approaches, and we outline research priorities to improve future eDNA‐based methods for PAI analysis. Among the 43 studies identified using eDNA to measure PAI such as pollination, herbivory, mutualistic, and parasitic relationships, they have often identified higher taxonomic diversity in several direct comparisons with DNA‐based gut/bulk sampling and conventional survey methods. Research needs include the following: better understanding of the influencing factors of eDNA detection involved in PAI (e.g., eDNA degradation, origin, and types), methodological standardization (sampling methods and primer development), and more inclusive sequence reference databases. If these research priorities are addressed, it will have a significant impact to enable PAI biodiversity monitoring with eDNA. In the future, the implementation of eDNA methods to study PAI can particularly benefit the scalability of environmental biomonitoring surveys that are imperative for ecosystem health assessments.https://doi.org/10.1002/edn3.308biodiversity lossbiodiversity samplingconservation managementecosystem functioningenvironmental DNA (eDNA)molecular ecology |
spellingShingle | Pritam Banerjee Kathryn A. Stewart Caterina M. Antognazza Ingrid V. Bunholi Kristy Deiner Matthew A. Barnes Santanu Saha Héloïse Verdier Hideyuki Doi Jyoti Prakash Maity Michael W. Y. Chan Chien Yen Chen Plant–animal interactions in the era of environmental DNA (eDNA)—A review Environmental DNA biodiversity loss biodiversity sampling conservation management ecosystem functioning environmental DNA (eDNA) molecular ecology |
title | Plant–animal interactions in the era of environmental DNA (eDNA)—A review |
title_full | Plant–animal interactions in the era of environmental DNA (eDNA)—A review |
title_fullStr | Plant–animal interactions in the era of environmental DNA (eDNA)—A review |
title_full_unstemmed | Plant–animal interactions in the era of environmental DNA (eDNA)—A review |
title_short | Plant–animal interactions in the era of environmental DNA (eDNA)—A review |
title_sort | plant animal interactions in the era of environmental dna edna a review |
topic | biodiversity loss biodiversity sampling conservation management ecosystem functioning environmental DNA (eDNA) molecular ecology |
url | https://doi.org/10.1002/edn3.308 |
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