Keywords
species identification, whitefly, insect vector, mitochondrial cytochrome oxidase, DNA barcoding
This article is included in the Agriculture, Food and Nutrition gateway.
species identification, whitefly, insect vector, mitochondrial cytochrome oxidase, DNA barcoding
Members of the Bemisia tabaci (whiteflies) species complex are among the world’s most devastating insect pests and cause billions of dollars (US) of damage each year, leaving farmers in the developing world food insecure (De Barro et al., 2011). As a species complex with at least 34 members, identification is based on the use of the 657 bp portion of the 3’ end of the mitochondrial COI (mtCOI) (Boykin et al., 2012, Boykin et al., 2013). In order to identify members of the complex correctly, a curated reference dataset is a useful resource. In 2012, a reference mtCOI dataset was made available on the CSIRO data portal (De Barro & Boykin, 2012). Errors in the dataset were subsequently identified and so the dataset was updated on 15 May 2017 (http://doi.org/10.4225/08/591a4018dfca8) (De Barro & Boykin, 2017), but did not include new additions from GenBank (post 2012). Therefore, the dataset described herein represents the most up-to-date reference resource for members of the complex.
The CSIRO dataset (http://doi.org/10.4225/08/591a4018dfca8), updated 15 May 2017 was used as the starting point. The existing records were updated to include host plant data. New records post-2012 were then downloaded on 22 May 2017 directly from GenBank. All downloaded data was treated as follows:
1) Data was classified with BLAST using the new CSIRO reference data set
2) Sequences that caused gaps in the alignment were removed
2) Sequences that had stop codons present were removed
3) Clustal Omega (Sievers & Higgins, 2014) was used for preliminary alignment and fine tuning of the alignment was carried out with MAFFT (Katoh & Standley, 2013).
4) Duplicate sequences were then removed using BBMAP Dedupe (Bushnell, 2017).
In addition, all MEAM2 sequences were removed as they have now been confirmed to be pseudogenes (Tay et al., 2017).
Figshare: Dataset 1. mtCOI reference data for species ID of Bemisia tabaci. DOI: 10.6084/m9.figshare.5437420 (Boykin et al., 2017)
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Is the rationale for creating the dataset(s) clearly described?
Yes
Are the protocols appropriate and is the work technically sound?
Yes
Are sufficient details of methods and materials provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Yes
Competing Interests: No competing interests were disclosed.
Is the rationale for creating the dataset(s) clearly described?
Yes
Are the protocols appropriate and is the work technically sound?
Yes
Are sufficient details of methods and materials provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Yes
Competing Interests: No competing interests were disclosed.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
---|---|---|
1 | 2 | |
Version 1 13 Oct 17 |
read | read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)