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Updated mtCOI reference dataset for the Bemisia tabaci species complex

Members of the whitefly Bemisia tabaci species complex cause millions of dollars of damage globally and are considered one of the world’s most invasive species. They are capable of causing extensive damage to major vegetable, grain legume and fiber crops. All member of the species complex are morpho...

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Autores principales: Boykin, Laura M., Savill, Anders, De Barro, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680533/
https://www.ncbi.nlm.nih.gov/pubmed/29167738
http://dx.doi.org/10.12688/f1000research.12858.1
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author Boykin, Laura M.
Savill, Anders
De Barro, Paul
author_facet Boykin, Laura M.
Savill, Anders
De Barro, Paul
author_sort Boykin, Laura M.
collection PubMed
description Members of the whitefly Bemisia tabaci species complex cause millions of dollars of damage globally and are considered one of the world’s most invasive species. They are capable of causing extensive damage to major vegetable, grain legume and fiber crops. All member of the species complex are morphologically identical therefore, data from the partial mitochondrial cytochrome oxidase subunit I (mtCOI) gene sequence has been used to identify the various species. The current reference dataset that is widely used is found on the CSIRO data portal. However, the reference set stored on the CSIRO data does not include newly added sequences (2013-2017), therefore an updated reference dataset is needed.  All mtCOI data for the Bemisia tabaci species complex were downloaded on 22 May 2017 from GenBank and after quality checking, a dataset of 1,071 unique sequences and 696 base pairs was generated (https://doi.org/10.6084/m9.figshare.5437420.v1).
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spelling pubmed-56805332017-11-21 Updated mtCOI reference dataset for the Bemisia tabaci species complex Boykin, Laura M. Savill, Anders De Barro, Paul F1000Res Data Note Members of the whitefly Bemisia tabaci species complex cause millions of dollars of damage globally and are considered one of the world’s most invasive species. They are capable of causing extensive damage to major vegetable, grain legume and fiber crops. All member of the species complex are morphologically identical therefore, data from the partial mitochondrial cytochrome oxidase subunit I (mtCOI) gene sequence has been used to identify the various species. The current reference dataset that is widely used is found on the CSIRO data portal. However, the reference set stored on the CSIRO data does not include newly added sequences (2013-2017), therefore an updated reference dataset is needed.  All mtCOI data for the Bemisia tabaci species complex were downloaded on 22 May 2017 from GenBank and after quality checking, a dataset of 1,071 unique sequences and 696 base pairs was generated (https://doi.org/10.6084/m9.figshare.5437420.v1). F1000 Research Limited 2017-10-13 /pmc/articles/PMC5680533/ /pubmed/29167738 http://dx.doi.org/10.12688/f1000research.12858.1 Text en Copyright: © 2017 Boykin LM et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Boykin, Laura M.
Savill, Anders
De Barro, Paul
Updated mtCOI reference dataset for the Bemisia tabaci species complex
title Updated mtCOI reference dataset for the Bemisia tabaci species complex
title_full Updated mtCOI reference dataset for the Bemisia tabaci species complex
title_fullStr Updated mtCOI reference dataset for the Bemisia tabaci species complex
title_full_unstemmed Updated mtCOI reference dataset for the Bemisia tabaci species complex
title_short Updated mtCOI reference dataset for the Bemisia tabaci species complex
title_sort updated mtcoi reference dataset for the bemisia tabaci species complex
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680533/
https://www.ncbi.nlm.nih.gov/pubmed/29167738
http://dx.doi.org/10.12688/f1000research.12858.1
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