Evidence map›Paper›PMID 42818709›Full record

ArticlebioRxiv : the preprint server for biology2026

Estimating Divergence Times and Diversification Rates with the Unresolved Fossilized Birth-Death Process.

Wonseop Lim, Levi Yoder Raskin, Jacky Kaiyuan Li, John P Huelsenbeck, 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

5 authors.

Wonseop LimDepartment of Integrative Biology, University of California, Berkeley, CA, USA.ORCID 0009-0007-1004-2326
Levi Yoder RaskinDepartment of Integrative Biology, University of California, Berkeley, CA, USA.ORCID 0009-0001-2680-8417
Jacky Kaiyuan LiBiostatistics Division, University of California, Berkeley, CA, USA.ORCID 0009-0004-3791-9376
John P HuelsenbeckDepartment of Integrative Biology, University of California, Berkeley, CA, USA.ORCID 0000-0002-3050-9997
Rasmus NielsenDepartment of Integrative Biology, University of California, Berkeley, CA, USA.ORCID 0000-0003-0513-6591

Funding

Inference and application of graphs for genomic dataR35GM153400 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RASMUS NIELSEN · 2024 to 2026
$1.3M
NIGMS NIH HHS R35 GM153400
6 · The paper itself

Abstract

Tip-dating using Fossilized Birth-Death (FBD) models offers a favorable alternative to conventional node-dating analyses of the evolutionary timescale, bypassing various conceptual and technical difficulties. However, despite their increasing popularity in phylogenetic studies, their use has remained rather limited in taxonomic scope because of the difficulty in collecting morphological data, which is often required for tip-dating analyses, and computational intractability when a large number of fossils are present. Recent studies, however, suggest that FBD models can also be used in a principled way as priors for molecular clock analyses, even in the absence of morphological data, relying only on temporal information and given clade assignments. Heath et al. (2014) introduced an "unresolved" FBD model in which uncertainty in fossil placements is analytically integrated out when morphological data are unavailable, providing a potential solution to this problem. Here, we show that the topological enumeration scheme used by Heath et al. (2014) to marginalize over unresolved fossil attachments overcounts configurations in which multiple fossil taxa can be resolved as a clade, and we provide a correction to this factor, yielding a valid marginalized unresolved likelihood. We apply our implementation to empirical datasets of Cetacea, Emydidae, and Palaeodictyopterida, and show that our method converges and yields reasonable estimates within a reasonable amount of time, even when hundreds of fossils are present.

Identifiers

PMID42818709
PMCPMC13622616

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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.