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Complete Mitochondrial Genome Sequencing Reveals Novel Haplotypes in a Polynesian Population

Overview of attention for article published in PLOS ONE, April 2012
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Title
Complete Mitochondrial Genome Sequencing Reveals Novel Haplotypes in a Polynesian Population
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035026
Pubmed ID
Authors

Miles Benton, Donia Macartney-Coxson, David Eccles, Lyn Griffiths, Geoff Chambers, Rod Lea

Abstract

The high risk of metabolic disease traits in Polynesians may be partly explained by elevated prevalence of genetic variants involved in energy metabolism. The genetics of Polynesian populations has been shaped by island hoping migration events which have possibly favoured thrifty genes. The aim of this study was to sequence the mitochondrial genome in a group of Maoris in an effort to characterise genome variation in this Polynesian population for use in future disease association studies. We sequenced the complete mitochondrial genomes of 20 non-admixed Maori subjects using Affymetrix technology. DNA diversity analyses showed the Maori group exhibited reduced mitochondrial genome diversity compared to other worldwide populations, which is consistent with historical bottleneck and founder effects. Global phylogenetic analysis positioned these Maori subjects specifically within mitochondrial haplogroup--B4a1a1. Interestingly, we identified several novel variants that collectively form new and unique Maori motifs--B4a1a1c, B4a1a1a3 and B4a1a1a5. Compared to ancestral populations we observed an increased frequency of non-synonymous coding variants of several mitochondrial genes in the Maori group, which may be a result of positive selection and/or genetic drift effects. In conclusion, this study reports the first complete mitochondrial genome sequence data for a Maori population. Overall, these new data reveal novel mitochondrial genome signatures in this Polynesian population and enhance the phylogenetic picture of maternal ancestry in Oceania. The increased frequency of several mitochondrial coding variants makes them good candidates for future studies aimed at assessment of metabolic disease risk in Polynesian populations.

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Geographical breakdown

Country Count As %
New Zealand 2 3%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Researcher 15 23%
Student > Master 13 20%
Student > Bachelor 5 8%
Other 4 6%
Other 8 12%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 44%
Biochemistry, Genetics and Molecular Biology 10 15%
Social Sciences 6 9%
Arts and Humanities 5 8%
Medicine and Dentistry 3 5%
Other 6 9%
Unknown 7 11%