Evidence map›Paper›PMID 31361744›Full record

ArticlePLoS biology2019

Ancient RNA from Late Pleistocene permafrost and historical canids shows tissue-specific transcriptome survival.

Oliver Smith, Glenn Dunshea, Mikkel-Holger S Sinding, Sergey Fedorov, Mietje Germonpre, Hervé Bocherens, M T P Gilbert

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 55 citations in OpenAlex.

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  11. How ancient RNA survives and what we can learn from it.Nature reviews. Molecular cell biology · 2024
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  19. Multi-omic detection ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 6 countries.

Oliver SmithSection for Evogenomics, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0146-9244
Glenn DunsheaSection for Evogenomics, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-8683-0181
Mikkel-Holger S SindingSection for Evogenomics, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-1371-219X
Sergey FedorovMammoth Museum, Institute of Applied Ecology of the North of the North-Eastern Federal University, Yakutsk, Russia.
Mietje GermonpreDirectorate Earth and History of Life, Royal Belgian Institute of Natural Science, Brussels, Belgium.ORCID 0000-0001-8865-0937
Hervé BocherensDepartment of Geosciences, Palaeobiology, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-0494-0126
M T P GilbertSection for Evogenomics, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-5805-7195
University of Copenhagen · DKInstitute of Natural Sciences · BENorth-Eastern Federal University · RUSenckenberg Centre for Human Evolution and Palaeoenvironment · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While sequencing ancient DNA (aDNA) from archaeological material is now commonplace, very few attempts to sequence ancient transcriptomes have been made, even from typically stable deposition environments such as permafrost. This is presumably due to assumptions that RNA completely degrades relatively quickly, particularly when dealing with autolytic, nuclease-rich mammalian tissues. However, given the recent successes in sequencing ancient RNA (aRNA) from various sources including plants and animals, we suspect that these assumptions may be incorrect or exaggerated. To challenge the underlying dogma, we generated shotgun RNA data from sources that might normally be dismissed for such study. Here, we present aRNA data generated from two historical wolf skins, and permafrost-preserved liver tissue of a 14,300-year-old Pleistocene canid. Not only is the latter the oldest RNA ever to be sequenced, but it also shows evidence of biologically relevant tissue specificity and close similarity to equivalent data derived from modern-day control tissue. Other hallmarks of RNA sequencing (RNA-seq) data such as exon-exon junction presence and high endogenous ribosomal RNA (rRNA) content confirms our data's authenticity. By performing independent technical library replicates using two high-throughput sequencing platforms, we show not only that aRNA can survive for extended periods in mammalian tissues but also that it has potential for tissue identification. aRNA also has possible further potential, such as identifying in vivo genome activity and adaptation, when sequenced using this technology.

Indexed as

FossilsAnimalsCanidaeCartilageHigh-Throughput Nucleotide SequencingLiverOrgan SpecificityPermafrostRNASequence Analysis, RNASkinSpecies SpecificityTranscriptomeWolvesRNA

Identifiers

PMID31361744
PMCPMC6667121
OpenAlexW2966039126

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.