Ancient local evolution of African mtDNA haplogroups in Tunisian Berber populations.

Hum Biol

Laboratory of Molecular Genetics, Immunology, and Human Pathology, Faculty of Sciences of Tunis, University El Manar, 2092 Tunis, Tunisia.

Published: August 2010

Our objective is to highlight the age of sub-Saharan gene flows in North Africa and particularly in Tunisia. Therefore we analyzed in a broad phylogeographic context sub-Saharan mtDNA haplogroups of Tunisian Berber populations considered representative of ancient settlement. More than 2,000 sequences were collected from the literature, and networks were constructed. The results show that the most ancient haplogroup is L3*, which would have been introduced to North Africa from eastern sub-Saharan populations around 20,000 years ago. Our results also point to a less ancient western sub-Saharan gene flow to Tunisia, including haplogroups L2a and L3b. This conclusion points to an ancient African gene flow to Tunisia before 20,000 BP. These findings parallel the more recent findings of both archaeology and linguistics on the prehistory of Africa. The present work suggests that sub-Saharan contributions to North Africa have experienced several complex population processes after the occupation of the region by anatomically modern humans. Our results reveal that Berber speakers have a foundational biogeographic root in Africa and that deep African lineages have continued to evolve in supra-Saharan Africa.

Download full-text PDF

Source
http://dx.doi.org/10.3378/027.082.0402DOI Listing

Publication Analysis

Top Keywords

north africa
12
mtdna haplogroups
8
haplogroups tunisian
8
tunisian berber
8
berber populations
8
sub-saharan gene
8
gene flow
8
flow tunisia
8
africa
6
ancient
5

Similar Publications

Epidemiology of caprine brucellosis in family farms in the south east of Algeria.

Vet Ital

September 2024

Department of Veterinary Management of Animal Resources, Faculty of Veterinary Medicine, Liège, Belgium.

This cross-sectional study aimed to estimate the seroprevalence and the potential risk factors of Brucella infection among goats in family farms in the southern east of Algeria. A total of 196 sera samples were randomly collected from 59 family farms and tested in parallel by Rose Bengal test (RBT) and indirect ELISA (iELISA). A structured questionnaire was used to collect information on potential risk factors.

View Article and Find Full Text PDF

Comparative Evolutionary Epidemiology of SARS-CoV-2 Delta and Omicron Variants in Kuwait.

Viruses

November 2024

Department of Public Health, Ministry of Health, P.O. Box 24923, Kuwait City 13110, Kuwait.

Continuous surveillance is critical for early intervention against emerging novel SARS-CoV-2 variants. Therefore, we investigated and compared the variant-specific evolutionary epidemiology of all the Delta and Omicron sequences collected between 2021 and 2023 in Kuwait. We used Bayesian phylodynamic models to reconstruct, trace, and compare the two variants' demographics, phylogeographic, and host characteristics in shaping their evolutionary epidemiology.

View Article and Find Full Text PDF

Establishment of a New Real-Time Molecular Assay for the Detection of Babanki Virus in Africa.

Viruses

November 2024

Virology Department, Institut Pasteur de Dakar, 36 Avenue Pasteur, Dakar 220, Senegal.

Babanki virus is a subtype of the Sindbis virus, a widespread arthropod-borne alphavirus circulating in Eurasia, Africa, and Oceania. Characterized by rashes and arthritis, clinical infections due to Sindbis were mainly reported in Africa, Australia, Asia, and Europe. However, its sub-type, Babanki virus, was reported in Northern Europe and Africa, where its epidemiology potential remains poorly understood.

View Article and Find Full Text PDF

Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data.

Sensors (Basel)

December 2024

School of Biological and Environmental Sciences, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.

Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful conservation outcomes. Integrating vision-language models into these workflows could address this gap by providing enhanced contextual understanding and enabling advanced queries across temporal and spatial dimensions. Here, we present an integrated approach that combines deep learning-based vision and language models to improve ecological reporting using data from camera traps.

View Article and Find Full Text PDF

Linn ( L.), commonly known as Holy Basil or Tulsi, is a fragrant herbaceous plant belonging to the Lamiaceae family. This plant is widely cultivated and found in north-central parts of India, several Arab countries, West Africa and tropical regions of the Eastern World.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!