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...

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Main Authors: 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
Format: Article
Language:English
Published: Wiley 2022-09-01
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.
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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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