AI Article Synopsis

  • Ancient DNA helps researchers study genetic and evolutionary history, revealing detailed profiles of ancient individuals’ lives.
  • The study introduces a new computational method to detect aneuploidies—abnormal chromosome numbers—in ancient genomes, even in cases of low DNA sequencing coverage.
  • This method was applied to ancient remains from Britain, identifying instances of different genetic conditions such as Turner syndrome and Klinefelter syndrome, and enhancing our understanding of the social perceptions of individuals with unique biological traits in the past.

Article Abstract

Ancient DNA is a valuable tool for investigating genetic and evolutionary history that can also provide detailed profiles of the lives of ancient individuals. In this study, we develop a generalised computational approach to detect aneuploidies (atypical autosomal and sex chromosome karyotypes) in the ancient genetic record and distinguish such karyotypes from contamination. We confirm that aneuploidies can be detected even in low-coverage genomes ( ~ 0.0001-fold), common in ancient DNA. We apply this method to ancient skeletal remains from Britain to document the first instance of mosaic Turner syndrome (45,X0/46,XX) in the ancient genetic record in an Iron Age individual sequenced to average 9-fold coverage, the earliest known incidence of an individual with a 47,XYY karyotype from the Early Medieval period, as well as individuals with Klinefelter (47,XXY) and Down syndrome (47,XY, + 21). Overall, our approach provides an accessible and automated framework allowing for the detection of individuals with aneuploidies, which extends previous binary approaches. This tool can facilitate the interpretation of burial context and living conditions, as well as elucidate past perceptions of biological sex and people with diverse biological traits.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10784527PMC
http://dx.doi.org/10.1038/s42003-023-05642-zDOI Listing

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