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  • Study Finds Microsatellites Exhibit Remarkable Stability Over Millennia

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    Photograph of an Adélie penguin breeding colony, Edmonson Point, Antarctica. Adélie penguin nests consist of a shallow scrape, pebbles, and bones. Credit: Carlo Baroni and Maria Cristina Salvatore, University of Pisa. (Image Credit: Carlo Baroni and Maria Cristina Salvatore, University of Pisa.)


    An international team led by David Lambert from Griffith University presented compelling evidence on the long-term stability of microsatellites in a new study published in Genome Biology and Evolution. These short, repeating DNA sequences, found throughout genomes, have long been a subject of interest for their roles in genetic diversity and disease, yet their evolutionary trajectories have remained a subject of debate within the scientific community.

    Studying the History of Microsatellites Through Ancient DNA
    The study leverages a novel dataset comprising the genomes of 23 ancient Adélie penguins, some dating back over 46,000 years, and 26 modern counterparts. This unique combination of ancient and contemporary DNA offers a rare window into the evolutionary dynamics of microsatellites, allowing for a direct comparison across vast temporal scales. The research team expanded their analysis to include over 27 million microsatellite loci across 63 animal genomes, covering a span of more than 500 million years, to contextualize their findings within a broader evolutionary framework.

    "Ancient DNA provides a unique opportunity to look at old problems in new ways," the authors state, emphasizing the innovative approach of using historical genetic material to inform current evolutionary theories.

    Findings Challenge Prevailing Assumptions
    Contrary to the anticipated pattern of gradual lengthening due to replication slippage, the study found that microsatellites exhibit extraordinary stability in length over extensive time periods. This stability challenges the previously held notion that microsatellites undergo a cyclic pattern of growth followed by decay due to point mutations disrupting their repetitive structure.

    "We were all surprised at the lack of evidence for an upward genetic drift in microsatellite repeat length," the research team remarked, highlighting the unexpected nature of their findings. The data suggest that microsatellites maintain a dynamic equilibrium, with longer sequences becoming shorter and vice versa, thus preserving their length across generations.

    Implications for Microsatellite Functionality
    The discovery of microsatellite loci that have persisted for over half a billion years, surviving numerous speciation events, raises intriguing questions about their functional significance. The authors speculate, "Microsatellites might play a functional role in the architecture of the genome or in generating phenotypic diversity," suggesting a possible explanation for their long-term preservation through purifying selection.

    Contributions and Looking Forward
    The study also acknowledges the crucial contributions of co-authors Carlo Baroni and Maria Cristina Salvatore, who recovered the ancient Adélie penguin remains from Antarctica. This interdisciplinary collaboration, bridging paleontology and genomics, was instrumental in constructing the dataset that underpins the study's groundbreaking findings.

    The genomic resources generated by this study open new avenues for exploring complex evolutionary models of microsatellite evolution, incorporating both point mutations and the slippage mechanism. This rich dataset not only offers a new perspective on microsatellite dynamics but also offers a valuable tool for investigating the evolutionary history of other genetic elements and repetitive DNA sequences.

    Original Publication:
    Bennet J McComish, Michael A Charleston, Matthew Parks, Carlo Baroni, Maria Cristina Salvatore, Ruiqiang Li, Guojie Zhang, Craig D Millar, Barbara R Holland, David M Lambert, Ancient and Modern Genomes Reveal Microsatellites Maintain a Dynamic Equilibrium Through Deep Time, Genome Biology and Evolution, Volume 16, Issue 3, March 2024, evae017, https://doi.org/10.1093/gbe/evae017

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