Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches

1. Accurate quantification of biodiversity can be demanding and expensive. Although environmental DNA (eDNA) metabarcoding can facilitate biodiversity assessments through non-invasive, cost-efficient, and rapid surveys, the approach struggles to outperform traditional morphological approaches in pro...

Descripción completa

Detalles Bibliográficos
Autores: Lúcio Pereira, Cátia, Gilbert, M. Thomas P., Araújo, Miguel B., Matias, Miguel G.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/251542
Acceso en línea:http://hdl.handle.net/10261/251542
Access Level:acceso abierto
Palabra clave:Biodiversity
Environmental DNA
Metabarcoding
Morphological approaches
http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
id ES_cc298dc1e2d0a3e9f2d0b60d532a0b2f
oai_identifier_str oai:digital.csic.es:10261/251542
network_acronym_str ES
network_name_str España
repository_id_str
spelling Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approachesLúcio Pereira, CátiaGilbert, M. Thomas P.Araújo, Miguel B.Matias, Miguel G.BiodiversityEnvironmental DNAMetabarcodingMorphological approacheshttp://metadata.un.org/sdg/15Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss1. Accurate quantification of biodiversity can be demanding and expensive. Although environmental DNA (eDNA) metabarcoding can facilitate biodiversity assessments through non-invasive, cost-efficient, and rapid surveys, the approach struggles to outperform traditional morphological approaches in providing reliable quantitative estimates for surveyed species (e.g., abundance and biomass).2. We present an integrated methodology for improving biodiversity surveys that pairs eDNA metabarcoding with morphological data, following a series of taxonomic and geographic filters. We demonstrate its power by applying it to a new spatiotemporal dataset generated on an Iberian-wide distributed aquatic mesocosm infrastructure that spans a wide biogeographic gradient.3. By building upon the strengths that these two approaches offer, our framework improved taxonomic resolution for 30% of the taxa and enabled species’ traits (e.g., body-size) and abundance to be assigned to 85% of the taxa in hybrid datasets.4. These results indicate that eDNA-based assessments can complement, but not always replace, conventional approaches. Integrating conventional and modern eDNA metabarcoding approaches, already available in the ecologist’s toolbox, will greatly enhance biodiversity assessments.This work was supported by the Portuguese Science and Technology Foundation (FCT) through the scientific projects TrophicResponses - Trophic responses to macroecological gradients (PTDC/BIA-BIC/0352/2014), and StateShifts - Predicting state shifts in energetic food webs under climate change (PTDC/AAG-MAA/3764/2014). This work was also funded by FEDER funds through the COMPETE 2020 Programme and National Funds through FCT under the project number POCI-01-0145-FEDER-007688 and PTDC/CTA-AMB/30793/2017 (AdaptAlentejo – Predicting ecosystem-level responses to climate change). The Iberian Pond network has received funding from the European Union’s Horizon 2020 research and innovation programme under grant Nos 731065 (AQUACOSM) and 871081 (AQUACOSM-plus). CLP acknowledges support by the Portuguese Science and Technology Foundation (FCT) through PhD studentship (SFRH/BD/102020/2014).We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI).Peer reviewedBritish Ecological SocietyFundação para a Ciência e a Tecnologia (Portugal)European CommissionCSIC - Unidad de Recursos de Información Científica para la Investigación (URICI)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/251542reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/731065info:eu-repo/grantAgreement/EC/H2020/871081https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13718Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2515422026-05-22T06:33:51Z
dc.title.none.fl_str_mv Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
title Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
spellingShingle Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
Lúcio Pereira, Cátia
Biodiversity
Environmental DNA
Metabarcoding
Morphological approaches
http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
title_short Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
title_full Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
title_fullStr Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
title_full_unstemmed Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
title_sort Fine-tuning biodiversity assessments: A framework to pair eDNA metabarcoding and morphological approaches
dc.creator.none.fl_str_mv Lúcio Pereira, Cátia
Gilbert, M. Thomas P.
Araújo, Miguel B.
Matias, Miguel G.
author Lúcio Pereira, Cátia
author_facet Lúcio Pereira, Cátia
Gilbert, M. Thomas P.
Araújo, Miguel B.
Matias, Miguel G.
author_role author
author2 Gilbert, M. Thomas P.
Araújo, Miguel B.
Matias, Miguel G.
author2_role author
author
author
dc.contributor.none.fl_str_mv Fundação para a Ciência e a Tecnologia (Portugal)
European Commission
CSIC - Unidad de Recursos de Información Científica para la Investigación (URICI)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Biodiversity
Environmental DNA
Metabarcoding
Morphological approaches
http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
topic Biodiversity
Environmental DNA
Metabarcoding
Morphological approaches
http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
description 1. Accurate quantification of biodiversity can be demanding and expensive. Although environmental DNA (eDNA) metabarcoding can facilitate biodiversity assessments through non-invasive, cost-efficient, and rapid surveys, the approach struggles to outperform traditional morphological approaches in providing reliable quantitative estimates for surveyed species (e.g., abundance and biomass).
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/251542
url http://hdl.handle.net/10261/251542
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/731065
info:eu-repo/grantAgreement/EC/H2020/871081
https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13718
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv British Ecological Society
publisher.none.fl_str_mv British Ecological Society
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419674133856256
score 15.811543

Similares en LA Referencia