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Efficient assessment of nocturnal flying insect communities by combining automatic light traps and DNA metabarcoding
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Orientador(es)
Resumo(s)
Increasing 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 methods
Descrição
Original article
Palavras-chave
automatic light trap biodiversity inventory insect diversity insect sampling lepidoptera metabarcoding
Contexto Educativo
Citação
Environmental DNA. 2021;3:398–408
Editora
Wiley