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
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author Oliver, Anna E.
Newbold, Lindsay K.
Gweon, Hyun S.
Read, Daniel S.
Woodcock, Ben A.
Pywell, Richard F.
author_facet Oliver, Anna E.
Newbold, Lindsay K.
Gweon, Hyun S.
Read, Daniel S.
Woodcock, Ben A.
Pywell, Richard F.
author_sort Oliver, Anna E.
collection PubMed
description 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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spelling pubmed-83742792021-08-24 Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme Oliver, Anna E. Newbold, Lindsay K. Gweon, Hyun S. Read, Daniel S. Woodcock, Ben A. Pywell, Richard F. MethodsX Method Article 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. Elsevier 2021-03-11 /pmc/articles/PMC8374279/ /pubmed/34434823 http://dx.doi.org/10.1016/j.mex.2021.101303 Text en Crown Copyright © 2021 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Method Article
Oliver, Anna E.
Newbold, Lindsay K.
Gweon, Hyun S.
Read, Daniel S.
Woodcock, Ben A.
Pywell, Richard F.
Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme
title Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme
title_full Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme
title_fullStr Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme
title_full_unstemmed Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme
title_short Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme
title_sort integration of dna extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme
topic Method Article
url 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
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