An analysis of the gaps in the South African DNA barcoding library of ticks of veterinary and public health importance.


Journal

Genome
ISSN: 1480-3321
Titre abrégé: Genome
Pays: Canada
ID NLM: 8704544

Informations de publication

Date de publication:
17 Jul 2024
Historique:
medline: 17 7 2024
pubmed: 17 7 2024
entrez: 17 7 2024
Statut: aheadofprint

Résumé

Ticks transmit pathogens of veterinary and public health importance. Understanding their diversity is critical as infestations lead to significant economic losses globally. Approximately over 90 species across three families have been identified in South Africa. However, the taxonomy of most species has not been resolved due to morphological identification challenges. DNA barcoding through the Barcode of Life Data Systems (BOLD) is therefore a valuable tool for species verifications for biodiversity assessments. This study conducted an analysis of South African tick COI barcodes on BOLD by verifying species on checklists, literature, and other sequence databases. The compiled list represented 97 species, including indigenous (59), endemics (27), introduced (2), invasives (1), and eight that could not be classified. Analyses indicated that 31 species (32%) from 11 genera have verified COI barcodes. These are distributed across all nine provinces with the Eastern Cape having the highest species diversity, followed by Limpopo, with KwaZulu-Natal having the least diversity. Rhipicephalus, Hyalomma, and Argas species had multiple barcode Index Numbers (BINs), suggesting cryptic diversity or unresolved taxonomy. We identified 21 species of veterinary or zoonotic importance from the Argasidae and Ixodidae families that should be prioritised for barcoding. Coordinating studies and defining barcoding targets is necessary to ensure that tick checklists are updated to support decision-making for the control of vector-borne diseases and alien invasives.

Identifiants

pubmed: 39018572
doi: 10.1139/gen-2024-0052
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Nozipho Khumalo (N)

South African National Biodiversity Institute, Zoological Research, Pretoria, Gauteng, South Africa; N.Khumalo@sanbi.org.za.

Mamohale Chaisi (M)

South African National Biodiversity Institute, Zoological Research, Pretoria, Gauteng, South Africa.
University of Pretoria, Veterinary Tropical Diseases, Pretoria, Gauteng, South Africa; m.chaisi@sanbi.org.za.

Rebecca Khumalo Magoro (RK)

South African National Biodiversity Institute, Foundational Biodiversity Services, Pretoria , Gauteng, South Africa; R.magoro@Sanbi.org.za.

Monica Mwale (M)

South African National Biodiversity Institute, Foundational Research & Services, Pretoria, Gauteng, South Africa; M.Mwale@sanbi.org.za.

Classifications MeSH