Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme

Worldwide honeybees (Apis mellifera • We compare the efficacy and speed of centrifugation and filtration systems for removing pollen from honey samples as a precursor to plant DNA barcoding. • We introduce the ‘HONEYPI’ informatics pipeline, an open access resource implemented in python 2.7, to ensu...

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Detalles Bibliográficos
Autores principales: Oliver, Anna E., Newbold, Lindsay K., Gweon, Hyun S., Read, Daniel S., Woodcock, Ben A., Pywell, Richard F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374279/
https://www.ncbi.nlm.nih.gov/pubmed/34434823
http://dx.doi.org/10.1016/j.mex.2021.101303
Descripción
Sumario:Worldwide honeybees (Apis mellifera • We compare the efficacy and speed of centrifugation and filtration systems for removing pollen from honey samples as a precursor to plant DNA barcoding. • We introduce the ‘HONEYPI’ informatics pipeline, an open access resource implemented in python 2.7, to ensure long-term reproducibility during the process of amplicon sequence variant classification.

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