Evidence map›Paper›PMID 39169089›Full record

ArticleScientific reports2024

Maximizing efficiency in sedimentary ancient DNA analysis: a novel extract pooling approach.

Victoria Oberreiter, Pere Gelabert, Florian Brück, Stefan Franz, Evelyn Zelger, Sophie Szedlacsek, Olivia Cheronet, Fernanda Tenorio Cano, Florian Exler, Brina Zagorc and 11 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Genomic traceability of farmed endangered wildlife to prevent laundering and genetic pollution.Conservation biology : the journal of the Society for Conservation Biology · 2026
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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

21 authors.

Victoria OberreiterDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Pere GelabertDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. pere.gelabert@univie.ac.at.
Florian BrückDepartment of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.
Stefan FranzDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Evelyn ZelgerDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Sophie SzedlacsekDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Olivia CheronetDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Fernanda Tenorio CanoDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Florian ExlerDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Brina ZagorcDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Ivor KaravanićDepartment of Archaeology, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia.
Marko BandaDepartment of Archaeology, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia.
Boris GasparyanInstitute of Archaeology and Ethnography, National Academy of Sciences of the Republic of Armenia, Yerevan, Armenia.
Lawrence Guy StrausDepartment of Anthropology, University of New Mexico, Albuquerque, USA.
Manuel R Gonzalez MoralesInstituto Internacional de Investigaciones Prehistóricas de Cantabria, Universidad de Cantabria, Gobierno de Cantabria, Banco Santander, Spain.
John KappelmanDepartment of Anthropology and Department of Earth and Planetary Sciences, The University of Texas, Austin, TX, USA.
Mareike StahlschmidtDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
Thomas RatteiDivision of Computational Systems Biology, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria.
Stephan M KraemerHuman Evolution and Archaeological Sciences (HEAS), University of Vienna, Vienna, Austria.
Susanna SawyerDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. susanna.sawyer@univie.ac.at.
Ron PinhasiDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. ron.pinhasi@univie.ac.at.

Funding

Austrian Science Fund M3108-GAustrian Science Fund FWF M 3108COST iNEAL STSM Grant CA19141-8d068698European Research Council (ERC) MicroStratDNA project No. 101042570Hrvatska Zaklada za Znanost NECEM, HRZZ-IP-2019-04-6649Research Platform MINERVA, University of Vienna 1111111
6 · The paper itself

Abstract

In the last few decades, the field of ancient DNA has taken a new direction towards using sedimentary ancient DNA (sedaDNA) for studying human and mammalian population dynamics as well as past ecosystems. However, the screening of numerous sediment samples from archaeological sites remains a time-consuming and costly endeavor, particularly when targeting hominin DNA. Here, we present a novel high-throughput method that facilitates the fast and efficient analysis of sediment samples by applying a pooled testing approach. This method combines multiple extracts, enabling early parallelization of laboratory procedures and effective aDNA screening. Pooled samples with detectable aDNA signals undergo detailed analysis, while empty pools are discarded. We have successfully applied our method to multiple sediment samples from Middle and Upper Paleolithic sites in Europe, Asia, and Africa. Notably, our results reveal that an aDNA signal remains discernible even when pooled with four negative samples. We also demonstrate that the DNA yield of double-stranded libraries increases significantly when reducing the extract input, potentially mitigating the effects of inhibition. By embracing this innovative approach, researchers can analyze large numbers of sediment samples for aDNA preservation, achieving significant cost reductions of up to 70% and reducing hands-on laboratory time to one-fifth.

Indexed as

DNA, AncientGeologic SedimentsAfricaAnimalsArchaeologyEuropeFossilsHigh-Throughput Nucleotide SequencingHominidaeHumansDNA, Ancient

Identifiers

PMID39169089
PMCPMC11339378

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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.