DNA barcoding of southern African mammal species and construction of a reference library for forensic application.


Journal

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

Informations de publication

Date de publication:
12 Jul 2024
Historique:
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 12 7 2024
Statut: aheadofprint

Résumé

Combating wildlife crimes in South Africa requires accurate identification of traded species and their products. Diagnostic morphological characteristics needed to identify species are often lost when specimens are processed and customs officials lack the expertise to identify species. As a potential solution, DNA barcoding can be used to identify morphologically indistinguishable specimens in forensic cases. However, barcoding is hindered by the reliance on comprehensive, validated DNA barcode reference databases, which are currently limited. To overcome this limitation, we constructed a barcode library of Cytochrome c oxidase subunit 1 (COI) and Cytochrome b (Cyt b) sequences for threatened and protected mammals exploited in southern Africa. Additionally, we included closely related or morphologically similar species and assessed the database's ability to identify species accurately. Published southern African sequences were incorporated to estimate intraspecific and interspecific variation. Neighbor-joining trees successfully discriminated 94-95% of the taxa. However, some widespread species exhibited high intraspecific distances (>2%), suggesting geographic sub-structuring or cryptic speciation. Lack of reliable published data prevented the unambiguous discrimination of certain species. This study highlights the efficacy of DNA barcoding in species identification, particularly for forensic applications. It also highlights the need for a taxonomic re-evaluation of certain widespread species and challenging genera.

Identifiants

pubmed: 38996389
doi: 10.1139/gen-2023-0050
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Janine Rose Baxter (JR)

South African National Biodiversity Institute, Foundational Research & Scientific Services, Pretoria, Gauteng, South Africa; baxterjrose@gmail.com.

Antoinette Kotze (A)

South African National Biodiversity Institute, Foundational Research & Scientific Services, Pretora, Gauteng, South Africa.
University of the Free, Department of Genetics, Bloemfontein, Free State, South Africa; a.kotze@sanbi.org.za.

Marli de Bruyn (M)

South African National Biodiversity Institute, Foundational Biodiversity Science, Pretoria, Gauteng, South Africa; m.debruyn@sanbi.org.za.

Katlego Matlou (K)

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

Kim Labuschagne (K)

South African National Biodiversity Institute, Collections Management Division, Pretora, Gauteng, South Africa; k.labuschagne@sanbi.org.za.

Monica Mwale (M)

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

Classifications MeSH