Back

Molecular Clock Dating of Ancient Environmental DNA Reveals Damage Beyond Deamination

Lemmon-Kishi, M.; Pipes, L.; De Sanctis, B.; Nielsen, R.

2026-07-07 bioinformatics
10.64898/2026.07.03.735781 bioRxiv
Show 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 Kobenhavn varied across taxa, highlighting the difficulty of molecular clock dating in aeDNA. This dating also revealed elevated G[->]T and C[->]A mismatches consistent with oxidative damage. These patterns reveal aDNA damage beyond deamination and that remains understudied, suggesting that aeDNA should be carefully evaluated in genomic and evolutionary analyses. The new dating method, ratePlacer, extends molecular clock dating of aDNA from single-specimen to pooled environmental DNA data, where traditional methods struggle.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Molecular Ecology Resources
171 papers in training set
Top 0.2%
10.8%
2
Scientific Reports
3612 papers in training set
Top 5%
9.5%
3
PLOS ONE
5266 papers in training set
Top 25%
6.6%
4
BMC Genomics
406 papers in training set
Top 0.9%
6.1%
5
Molecular Biology and Evolution
542 papers in training set
Top 1%
5.4%
6
Genome Biology
637 papers in training set
Top 4%
3.2%
7
Briefings in Bioinformatics
354 papers in training set
Top 3%
3.2%
8
PeerJ
308 papers in training set
Top 3%
3.1%
9
Nature Communications
5641 papers in training set
Top 38%
2.7%
50% of probability mass above
10
Science Advances
1243 papers in training set
Top 15%
2.4%
11
Genome Research
468 papers in training set
Top 3%
2.4%
12
Bioinformatics
1204 papers in training set
Top 6%
2.3%
13
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 22%
2.3%
14
Molecular Ecology
336 papers in training set
Top 2%
2.3%
15
Methods in Ecology and Evolution
176 papers in training set
Top 0.9%
2.1%
16
BMC Bioinformatics
457 papers in training set
Top 4%
1.9%
17
Ecology and Evolution
267 papers in training set
Top 3%
1.9%
18
GigaScience
212 papers in training set
Top 2%
1.9%
19
Genome Biology and Evolution
338 papers in training set
Top 2%
1.5%
20
Forensic Science International: Genetics
26 papers in training set
Top 0.1%
1.5%
21
BMC Evolutionary Biology
18 papers in training set
Top 0.1%
1.5%
22
Molecular Phylogenetics and Evolution
69 papers in training set
Top 0.6%
1.3%
23
PLOS Computational Biology
1863 papers in training set
Top 16%
1.3%
24
Genes
144 papers in training set
Top 2%
1.3%
25
eLife
5828 papers in training set
Top 55%
1.3%
26
G3: Genes, Genomes, Genetics
252 papers in training set
Top 4%
1.0%
27
Current Biology
665 papers in training set
Top 10%
0.8%
28
Biology Methods and Protocols
61 papers in training set
Top 2%
0.8%
29
Nature Ecology & Evolution
18 papers in training set
Top 0.4%
0.8%
30
Communications Biology
993 papers in training set
Top 32%
0.8%