Evidence map›Paper›PMID 42465375›Full record

ArticlebioRxiv : the preprint server for biology2026

Molecular Clock Dating of Ancient Environmental DNA Reveals Damage Beyond Deamination.

Maya Lemmon-Kishi, Lenore Pipes, Bianca De Sanctis, Rasmus Nielsen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Maya Lemmon-KishiCenter for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.ORCID 0009-0000-1012-1082
Lenore PipesPacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, HI, USA.ORCID 0000-0003-0056-8045
Bianca De SanctisDepartment of Genetics, University of Cambridge, Cambridge, UK.ORCID 0000-0002-0648-4224
Rasmus NielsenDepartments of Integrative Biology and Statistics, University of California, Berkeley, Berkeley, CA, USA.ORCID 0000-0003-0513-6591

Funding

Phylogenetic and computational methods for accurate and efficient analyses of large-scale metagenomics datasetsR00GM144747 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Lenore Pipes · 2025 to 2026
$498k
NIGMS NIH HHS R00 GM144747Wellcome Trust
6 · The paper itself

Abstract

Ancient environmental DNA (aeDNA) from permafrost, lake, cave, and marine sediments provides a rich source of genetic data that captures broad perspectives of past biodiversity. Accurate dating is crucial for discovering ecologically relevant patterns from aeDNA, and molecular clock dating would allow for sample ages to be estimated from the recovered genetic material itself instead of the geological components. However, the fragmented and damaged nature of short-read ancient DNA (aDNA) from multiple taxonomic sources poses significant challenges and has limited this dating approach for aeDNA. Here we developed ratePlacer, a phylogeny-based method for analyzing aeDNA that can combine information from many short reads in a sample while accounting for DNA damage to provide maximum likelihood estimates of sample ages. Simulations demonstrate that ratePlacer accurately dates samples even under the fragmented, damaged conditions characteristic of aeDNA and outperforms Bayesian tip-dating approaches for taxonomically mixed samples commonly found in aeDNA. Yet age estimates from re-dating Kap København varied across taxa, highlighting the difficulty of molecular clock dating in aeDNA. This dating also revealed elevated

Identifiers

PMID42465375
PMCPMC13370429

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.