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Updated: May 25, 2026
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Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
Published on: February 10, 2023
Sampling strategies in a linguistic isolate: results from mtDNA analysis
Carla Maria Calò1, Laura Corrias, Giuseppe Vona
1Department of Experimental Biology, University of Cagliari, 09042 Monserrato, Italy.
Summary
Choosing the right genetic sampling strategy is key. Founder Surnames (FS) sampling revealed greater genetic diversity and distinct population clustering compared to the grandparents criterion in Carloforte, Italy.
Area of Science:
- Population genetics
- Anthropological studies
- Human genetic diversity
Background:
- Sampling strategies significantly impact population genetics and anthropological research outcomes.
- The choice of sampling method must align with research questions and genetic markers used.
- Carloforte, a Sardinian linguistic isolate, provides a unique setting to study genetic sampling effects.
Purpose of the Study:
- To compare the effectiveness of two distinct genetic sampling strategies.
- To analyze the genetic diversity and population structure within the Carloforte isolate.
- To evaluate how sampling methods influence genetic and anthropological study results.
Main Methods:
- Two sampling strategies were employed: grandparents criterion (N=49) and founders surnames (FS) (N=50).
- Participants were selected based on generational lineage and absence of recent common ancestry.
- Genetic diversity was assessed using network and haplogroup analyses.
Main Results:
- The FS sampling group exhibited higher gene diversity compared to the grandparents criterion group.
- Haplogroup frequencies differed significantly between the two sampling strategies.
- Network analysis showed FS sampling clustering with North African populations, while grandparents criterion clustered with Italian/Sardinian populations.
Conclusions:
- Different genetic sampling strategies can yield contrasting population genetic results.
- The grandparents criterion method is influenced by recent gene flow, reflecting admixture with broader Sardinian populations.
- The observed genetic divergence highlights the importance of rigorous sampling design in population studies.
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