マンモスから世界最古のRNAを抽出(The world’s oldest RNA extracted from woolly mammoth)

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2025-11-17 コペンハーゲン大学(UCPH)

コペンハーゲン大学などの研究チームは、シベリア永久凍土で発見された約4万年前の幼体マンモス「ユカ」の筋肉組織から、これまで不可能と考えられていた 古代RNAの抽出と解析 に初めて成功した。RNAはDNAより不安定で長期保存が難しいとされてきたが、今回の成果は、絶滅動物の“生前にどの遺伝子が実際に働いていたか(遺伝子発現)”を直接読み解けることを示した点で画期的である。研究者は、RNAにより生理状態や最期の瞬間に関する洞察が得られることを強調し、今後はDNA・タンパク質と合わせた包括的分析が、古生物の生物学や進化の理解を大きく前進させる可能性を指摘している。

<関連情報>

絶滅したマンモスの古代RNA発現プロファイル Ancient RNA expression profiles from the extinct woolly mammoth

Emilio Mármol-Sánchez ∙ Bastian Fromm ∙ Nikolay Oskolkov ∙ … ∙ Kevin J. Peterson ∙ Marc R. Friedländer ∙ Love Dalén
Cell  Published:November 14, 2025
DOI:https://doi.org/10.1016/j.cell.2025.10.025

Graphical abstract

マンモスから世界最古のRNAを抽出(The world’s oldest RNA extracted from woolly mammoth)

Highlights

  • Ancient RNA molecules are preserved in Late Pleistocene woolly mammoth tissues
  • Transcriptional data allow the annotation of novel noncoding loci
  • Tissue-specific gene expression patterns are preserved through time
  • Ancient RNA expression profiles undercover missing insights from extinct paleofauna

Summary

Ancient DNA has revolutionized the study of extinct and extant organisms that lived up to 2 million years ago, enabling the reconstruction of genomes from multiple extinct species, as well as the ecosystems where they once thrived. However, current DNA sequencing techniques alone cannot directly provide insights into tissue identity, gene expression dynamics, or transcriptional regulation, as these are encoded in the RNA fraction. Here, we report transcriptional profiles from 10 Late Pleistocene woolly mammoths. One of these, dated to be ∼39,000 years old, yielded sufficient detail to recover tissue-specific regulatory mechanisms and biological functions essential for skeletal muscle metabolism, representing the oldest ancient RNA sequences recorded to date. We showcase the potential to study ancient RNA molecules beyond preconceived limitations, providing an analytical framework for validating and decoding preserved transcriptomes through time. With our findings, we anticipate the emergence of integrative paleo-studies combining genomics, proteomics, and transcriptomics.

細胞遺伝子工学
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