Evidence map›Paper›PMID 31411558›Full record

ArticleeLife2019

Coupling adaptive molecular evolution to phylodynamics using fitness-dependent birth-death models.

David A Rasmussen, Tanja Stadler

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Bayesian phylodynamic inference of population dynamics with dormancy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Phylodynamics beyond neutrality: the impact of incomplete purifying selection on viral phylogenies and inference.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  7. "A mathematical theory of evolution": phylogenetic models dating back 100 years.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  8. Reading Yule in light of the history and present of macroevolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  9. Bayesian phylodynamic inference of population dynamics with dormancy.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Phylogenies increase power to detect highly transmissible viral genome variants.medRxiv : the preprint server for health sciences · 2023
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

David A RasmussenDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, United States.ORCID 0000-0001-9457-7561
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.

Funding

Seventh Framework Programme European Research Commission
6 · The paper itself

Abstract

Beneficial and deleterious mutations cause the fitness of lineages to vary across a phylogeny and thereby shape its branching structure. While standard phylogenetic models do not allow mutations to feedback and shape trees, birth-death models can account for this feedback by letting the fitness of lineages depend on their type. To date, these multi-type birth-death models have only been applied to cases where a lineage's fitness is determined by a single character state. We extend these models to track sequence evolution at multiple sites. This approach remains computationally tractable by tracking the genotype and fitness of lineages probabilistically in an approximate manner. Although approximate, we show that we can accurately estimate the fitness of lineages and site-specific mutational fitness effects from phylogenies. We apply this approach to estimate the population-level fitness effects of mutations in Ebola and influenza virus, and compare our estimates with in vitro fitness measurements for these mutations.

Indexed as

Adaptation, BiologicalEvolution, MolecularGenetic FitnessModels, GeneticEbolavirusGenotypeOrthomyxoviridaebirth-death modelsebola virusevolutionary biologyfitness inferenceinfluenzamolecular evolutionphylogeneticsvirus

Identifiers

PMID31411558
PMCPMC6715349

What OpenQuestion holds

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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 OpenQuestion graph.