DNA barcoding and molecular identification of field-collected Culicoides larvae in the Niayes area of Senegal

dc.contributor.authorBakhoum, Mame Thierno
dc.contributor.authorSarr, Mamadou
dc.contributor.authorFall, Assane Gueye
dc.contributor.authorHuber, Karine
dc.contributor.authorFall, Moussa
dc.contributor.authorSembene, Mbacke
dc.contributor.authorSeck, Momar Talla
dc.contributor.authorLabuschagne, Karien
dc.contributor.authorGardes, Laetitia
dc.contributor.authorCiss, Mamadou
dc.contributor.authorGimonneau, Geoffrey
dc.contributor.authorBouyer, Jeremy
dc.contributor.authorBaldet, Thierry
dc.contributor.authorGarros, Claire
dc.date.accessioned2019-05-13T08:02:52Z
dc.date.available2019-05-13T08:02:52Z
dc.date.issued2018-12-03
dc.descriptionAdditional file 1: Figure S1. The minimum cumulative error of false positive and false negative identifications show the optimum threshold; for our DNA reference libraries this was around 4.3 and 4.4%, respectively.en_ZA
dc.descriptionAdditional file 2: Figure S2. Line plot of the barcode gap for our DNA reference libraries. For each individual in the dataset, the light sky-blue lines represent the maximum intraspecific distance (bottom of line value), and the minimum interspecific distance (top of line value). The red lines show where this relationship is reversed, and the closest non-conspecific is actually closer to the query than its nearest conspecific, i.e. the situation where there is no barcoding gap.en_ZA
dc.descriptionAdditional file 3: Table S1. Details of 1131 cox1 sequences representing 40 Afrotropical Culicoides species submitted to BOLD database under the project code “AFCUL”.en_ZA
dc.descriptionAdditional file 4: Table S2. Comparison between DNA sequences for Afrotropical Culicoides species using the Barcode Gap Analysis tools on BOLD.en_ZA
dc.description.abstractBACKGROUND : Biting midge species of the genus Culicoides Latreille (Diptera: Ceratopogonidae) comprise more than 1300 species distributed worldwide. Several species of Culicoides are vectors of various viruses that can affect animals, like the African horse sickness virus (AHSV), known to be endemic in sub-Saharan Africa. The ecological and veterinary interest of Culicoides emphasizes the need for rapid and reliable identification of vector species. However, morphology-based identification has limitations and warrants integration of molecular data. DNA barcoding based on the mitochondrial gene cytochrome c oxidase subunit 1 (cox1) is used as a rapid and authentic tool for species identification in a wide variety of animal taxa across the globe. In this study, our objectives were as follows: (i) establish a reference DNA barcode for Afrotropical Culicoides species; (ii) assess the accuracy of cox1 in identifying Afrotropical Culicoides species; and (iii) test the applicability of DNA barcoding for species identification on a large number of samples of Culicoides larvae from the Niayes area of Senegal, West Africa. RESULTS : A database of 230 cox1 sequences belonging to 42 Afrotropical Culicoides species was found to be reliable for species-level assignments, which enabled us to identify cox1 sequences of Culicoides larvae from the Niayes area of Senegal. Of the 933 cox1 sequences of Culicoides larvae analyzed, 906 were correctly identified by their barcode sequences corresponding to eight species of Culicoides. A total of 1131 cox1 sequences of adult and larval Culicoides were analyzed, and a hierarchical increase in mean divergence was observed according to two taxonomic levels: within species (mean = 1.92%, SE = 0.00), and within genus (mean = 17.82%, SE = 0.00). CONCLUSIONS : Our study proves the efficiency of DNA barcoding for studying Culicoides larval diversity in field samples. Such a diagnostic tool offers great opportunities for investigating Culicoides immature stages ecology and biology, a prerequisite for the implementation of eco-epidemiological studies to better control AHSV in the Niayes region of Senegal, and more generally in sub-Saharan Africa.en_ZA
dc.description.departmentZoology and Entomologyen_ZA
dc.description.librarianam2019en_ZA
dc.description.sponsorshipUMR 117 ASTRE, Cirad. MTB was funded by a grant from the Islamic Development Bank.en_ZA
dc.description.urihttp://www.parasitesandvectors.comen_ZA
dc.identifier.citationBakhoum, M.T., Sarr, M., Fall, A.G. et al. 2018, 'DNA barcoding and molecular identification of field-collected Culicoides larvae in the Niayes area of Senegal', Parasites and Vectors, vol. 11, art. 615, pp. 1-10.en_ZA
dc.identifier.issn1756-3305 (online)
dc.identifier.other10.1186/s13071-018-3176-y
dc.identifier.urihttp://hdl.handle.net/2263/69104
dc.language.isoenen_ZA
dc.publisherBioMed Centralen_ZA
dc.rights© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License.en_ZA
dc.subjectCulicoidesen_ZA
dc.subjectBarcodingen_ZA
dc.subjectAfrotropicalen_ZA
dc.subjectSenegalen_ZA
dc.subjectAfrican horse sickness virus (AHSV)en_ZA
dc.titleDNA barcoding and molecular identification of field-collected Culicoides larvae in the Niayes area of Senegalen_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 5 of 5
Loading...
Thumbnail Image
Name:
Bakhoum_DNA_2018.pdf
Size:
1.02 MB
Format:
Adobe Portable Document Format
Description:
Article
Loading...
Thumbnail Image
Name:
Bakhoum_DNAAddfile1_2018.pdf
Size:
100.92 KB
Format:
Adobe Portable Document Format
Description:
Figure S1
Loading...
Thumbnail Image
Name:
Bakhoum_DNAAddfile2_2018.pdf
Size:
3.71 KB
Format:
Adobe Portable Document Format
Description:
Figure S2
Loading...
Thumbnail Image
Name:
Bakhoum_DNAAddfile3_2018.xlsx
Size:
56.6 KB
Format:
Microsoft Excel XML
Description:
Table S1
Loading...
Thumbnail Image
Name:
Bakhoum_DNAAddfile4_2018.xlsx
Size:
12.09 KB
Format:
Microsoft Excel XML
Description:
Table S2

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: