Evolving genes lead to evolving genes
|DNA strands [Credit: Alamy]|
The study, published in The American Journal of Human Genetics, used three sets of genes regulated by FOXP2 that had been identified by previous genomic screens in mice and humans. These sets were compared with matched controls using this method.
"Our method worked well and overall, there was strong evidence for selection of FOXP2-regulated genes in the Europeans, but not in the Asian, or African populations," says Dr Qasim Ayub, first author from the Wellcome Trust Sanger Institute. "The subset of FOXP2-regulated genes that were selected in Europeans play roles in neural cell development, cellular signalling, reproduction and immunity."
The selection in the Europeans might be due to local adaptations to environment or pathogens. Some of the genes, such as CNTNAP2 and RBFOX1, showed strong signals of selection in all populations examined. Intriguingly, both these genes are highly expressed in the brain and have been implicated in neurodevelopmental disorders, including autism.
"Our study highlights how genes can acquire and adapt to different roles in human evolution. We should never underestimate how complex human biology can be." says Professor Simon Fisher, a co-author from the Max Planck Institute for Psycholinguistics. "A next step could be to test whether variants in the selected genes are associated with risk of human neurodevelopmental problems, like language impairments and autism spectrum disorders. Genetic networks can give us powerful insights into the biology underlying these important disorders, which make a major impact on modern human society."
"We have already started using this method to look for selection in various other gene sets such as those associated with diabetes and viral infections," says Dr Chris Tyler-Smith, lead author from the Wellcome Trust Sanger Institute. "Our method is opening new doors to understanding how modern humans have genetically adapted to their local environments and finding candidate genes to study biological function. This approach is a practical and successful way to screen for positive selection and adaptation signals in different gene sets and populations using whole-genome sequencing data."
Source: Wellcome Trust Sanger Institute [April 18, 2013]