Ancient Reconstructed Proteins: A Framework for Resurrecting Protein Structures from Million-Year-Old Metagenomes
DNA sequences derived from ancient samples provide insights into human history, paleoenvironments, and evolutionary biology. Advances in laboratory techniques and computational tools have established ancient DNA research as a distinct field. However, current analyses focus mainly on the DNA level, while the protein space remains under-explored. Recent progress in the de novo assembly of ancient…
Ancient DNA sequences, derived from samples dating millions of years old, are unlocking new insights into humanity's past, past environments, and the evolution of life. While ancient DNA research has matured, attention remains scant on protein sequences, which form the basis of cellular functions. New tools have emerged that can de novo assemble metagenomic data - genetic material found in environmental samples - and predict protein structures.
Among these tools is AlphaFold 2, which has proven highly accurate in predicting protein structures.
In this study, researchers introduced a computational framework designed to assemble ancient protein sequences from degraded metagenomic data. The framework is capable of assessing the authenticity of these sequences, identifying open reading frames - sequences of DNA that code for proteins - and folding the predicted protein structures.
The researchers applied this pipeline to two-million-year-old data from the Kap Kobenhavn Formation, successfully recovering ancient proteins involved in methane metabolism. They generated structural models using AlphaFold 2 and compared these models to modern reference structures. The comparison showed that the ancient proteins could be reconstructed and aligned with high confidence.
To demonstrate the validity of their approach, the researchers focused on an archaeal V/A-type ATP synthase protein, an enzyme involved in energy conversion, recovered from the 2-million-year-old Greenlandic dataset. The successful recovery and structural modeling of this ancient protein highlight the potential of this computational framework.
By enabling the reliable recovery of ancient proteins from highly degraded genetic material, this work opens up new avenues for evolutionary and biochemical research, providing a more comprehensive view of ancient life forms and their functional biology.
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