Performance of DNA metabarcoding, standard barcoding and morphological approaches in the identification of insect biodiversity.
COI
DNA barcoding
biodiversity
insects
metabarcoding
species identification
Journal
Molecular ecology resources
ISSN: 1755-0998
Titre abrégé: Mol Ecol Resour
Pays: England
ID NLM: 101465604
Informations de publication
Date de publication:
16 Sep 2024
16 Sep 2024
Historique:
revised:
25
06
2024
received:
27
09
2023
accepted:
06
08
2024
medline:
17
9
2024
pubmed:
17
9
2024
entrez:
17
9
2024
Statut:
aheadofprint
Résumé
For two decades, DNA barcoding and, more recently, DNA metabarcoding have been used for molecular species identification and estimating biodiversity. Despite their growing use, few studies have systematically evaluated these methods. This study aims to evaluate the efficacy of barcoding methods in identifying species and estimating biodiversity, by assessing their consistency with traditional morphological identification and evaluating how assignment consistency is influenced by taxonomic group, sequence similarity thresholds and geographic distance. We first analysed 951 insect specimens across three taxonomic groups: butterflies, bumblebees and parasitic wasps, using both morphological taxonomy and single-specimen COI DNA barcoding. An additional 25,047 butterfly specimens were identified by COI DNA metabarcoding. Finally, we performed a systematic review of 99 studies to assess average consistency between insect species identity assigned via morphology and COI barcoding and to examine the distribution of research effort. Species assignment consistency was influenced by taxonomic group, sequence similarity thresholds and geographic distance. An average assignment consistency of 49% was found across taxonomic groups, with parasitic wasps displaying lower consistency due to taxonomic impediment. The number of missing matches doubled with a 100% sequence similarity threshold and COI intraspecific variation increased with geographic distance. Metabarcoding results aligned well with morphological biodiversity estimates and a strong positive correlation between sequence reads and species abundance was found. The systematic review revealed an 89% average consistency and also indicated taxonomic and geographic biases in research effort. Together, our findings demonstrate that while problems persist, barcoding approaches offer robust alternatives to traditional taxonomy for biodiversity assessment.
Identifiants
pubmed: 39285627
doi: 10.1111/1755-0998.14018
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e14018Subventions
Organisme : Crafoordska Stiftelsen
Organisme : Vetenskapsrådet
ID : 2020-03519
Organisme : Svenska Forskningsrådet Formas
ID : 2018-02846
Organisme : Svenska Forskningsrådet Formas
ID : 2021-02142
Informations de copyright
© 2024 The Author(s). Molecular Ecology Resources published by John Wiley & Sons Ltd.
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