Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding

Detalhes bibliográficos
Autor(a) principal: Mata, Vanessa A.
Data de Publicação: 2021
Outros Autores: Ferreira, Sónia, Campos, Rebeca M., Silva, Luís P., Veríssimo, Joana, Corley, Martin F.V., Beja, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/21416
Resumo: Original article
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spelling Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcodingautomatic light trapbiodiversity inventoryinsect diversityinsect samplinglepidopterametabarcodingOriginal articleIncreasing evidence for global insect declines is prompting a renewed interest in the survey of whole insect communities. DNA metabarcoding can contribute to assessing diverse insect communities over a range of spatial and temporal scales, but efforts are still needed to optimize and standardize procedures. Here, we describe and test a methodological pipeline for surveying nocturnal flying insects, combining automatic light traps and DNA metabarcoding. We optimized laboratory procedures and then tested the methodological pipeline using 12 field samples collected in northern Portugal in 2017. We focused on Lepidoptera to compare metabarcoding results with those from morphological identification, using three types of bulk samples produced from each field sample (individuals, legs, and the unsorted mixture). The customized trap was highly efficient at collecting nocturnal flying insects, allowing a small team to operate several traps per night, and a fast field processing of samples for subsequent metabarcoding. Morphological processing yielded 871 identifiable individuals of 102 Lepidoptera species. Metabarcoding of the “mixture” bulk samples detected 528 taxa, most of which were Lepidoptera, Diptera, and Coleoptera. There was a reasonably high matching in community composition between morphology and metabarcoding when considering the “individuals” and “legs” bulk samples, with few errors mostly associated with morphological misidentification of small and often degraded microlepidoptera. Regarding the “mixture” bulk sample, metabarcoding identified nearly four times more Lepidoptera species than morphological examination, mostly due to the recovery of DNA from very damaged specimens that could not be visually identified, but also thanks to the retention of body parts and DNA of specimens removed for the “individuals” and “legs” bulks. Our study provides a methodological metabarcoding pipeline that can be used in standardized surveys of nocturnal flying insects. Our approach efficiently collects highly diverse taxonomic groups such as nocturnal Lepidoptera that are poorly represented when using Malaise traps and other widely used field methodsWileyRepositório da Universidade de LisboaMata, Vanessa A.Ferreira, SóniaCampos, Rebeca M.Silva, Luís P.Veríssimo, JoanaCorley, Martin F.V.Beja, Pedro2021-06-02T13:24:46Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/21416engEnvironmental DNA. 2021;3:398–40810.1002/edn3.125info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:50:52Zoai:www.repository.utl.pt:10400.5/21416Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:06:00.465422Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
title Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
spellingShingle Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
Mata, Vanessa A.
automatic light trap
biodiversity inventory
insect diversity
insect sampling
lepidoptera
metabarcoding
title_short Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
title_full Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
title_fullStr Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
title_full_unstemmed Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
title_sort Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
author Mata, Vanessa A.
author_facet Mata, Vanessa A.
Ferreira, Sónia
Campos, Rebeca M.
Silva, Luís P.
Veríssimo, Joana
Corley, Martin F.V.
Beja, Pedro
author_role author
author2 Ferreira, Sónia
Campos, Rebeca M.
Silva, Luís P.
Veríssimo, Joana
Corley, Martin F.V.
Beja, Pedro
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Mata, Vanessa A.
Ferreira, Sónia
Campos, Rebeca M.
Silva, Luís P.
Veríssimo, Joana
Corley, Martin F.V.
Beja, Pedro
dc.subject.por.fl_str_mv automatic light trap
biodiversity inventory
insect diversity
insect sampling
lepidoptera
metabarcoding
topic automatic light trap
biodiversity inventory
insect diversity
insect sampling
lepidoptera
metabarcoding
description Original article
publishDate 2021
dc.date.none.fl_str_mv 2021-06-02T13:24:46Z
2021
2021-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/21416
url http://hdl.handle.net/10400.5/21416
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Environmental DNA. 2021;3:398–408
10.1002/edn3.125
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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