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Global patterns of human mitochondrial DNA and Y-chromosome structure are not influenced by higher migration rates of females versus males
- Source :
- Nature Genetics. 36:1122-1125
- Publication Year :
- 2004
- Publisher :
- Springer Science and Business Media LLC, 2004.
-
Abstract
- Global-scale patterns of human population structure may be influenced by the rate of migration among populations that is nearly eight times higher for females than for males. This difference is attributed mainly to the widespread practice of patrilocality, in which women move into their mates' residences after marriage. Here we directly test this hypothesis by comparing global patterns of DNA sequence variation on the Y chromosome and mitochondrial DNA (mtDNA) in the same panel of 389 individuals from ten populations (four from Africa and two each from Europe, Asia and Oceania). We introduce a new strategy to assay Y-chromosome variation that identifies a high density of single-nucleotide polymorphisms, allows complete sequencing of all individuals rather than relying on predetermined markers and provides direct sequence comparisons with mtDNA. We found the overall proportion of between-group variation (Phi(ST)) to be 0.334 for the Y chromosome and 0.382 for mtDNA. Genetic differentiation between populations was similar for the Y chromosome and mtDNA at all geographic scales that we tested. Although patrilocality may be important at the local scale, patterns of genetic structure on the continental and global scales are not shaped by the higher rate of migration among females than among males.
- Subjects :
- Male
Mitochondrial DNA
Molecular Sequence Data
Population Dynamics
Population
Alu element
Biology
Y chromosome
DNA, Mitochondrial
Human mitochondrial genetics
Alu Elements
Genetic variation
Genetics
Humans
Genetic variability
education
Family Characteristics
Sex Characteristics
education.field_of_study
Chromosomes, Human, Y
Models, Genetic
Genetic Variation
Emigration and Immigration
Genetics, Population
Genetic structure
Female
Subjects
Details
- ISSN :
- 15461718 and 10614036
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- Nature Genetics
- Accession number :
- edsair.doi.dedup.....cf023286ee93f1f9fe828b92fe7b2682
- Full Text :
- https://doi.org/10.1038/ng1428