Evidence map›Paper›PMID 35984845›Full record

ArticlePLoS computational biology2022

TreeKnit: Inferring ancestral reassortment graphs of influenza viruses.

Pierre Barrat-Charlaix, Timothy G Vaughan, Richard A Neher

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Sketch, capture and layout phylogenies.PLoS computational biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Concepts and Methods for Predicting Viral Evolution.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Article
  9. Concepts and methods for predicting viral evolution.bioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. 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

3 authors.

Pierre Barrat-CharlaixBiozentrum, Universität Basel, Basel, Switzerland.
Timothy G VaughanSwiss Institute of Bioinformatics, Basel, Switzerland.ORCID 0000-0001-6220-2239
Richard A NeherBiozentrum, Universität Basel, Basel, Switzerland.ORCID 0000-0003-2525-1407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When two influenza viruses co-infect the same cell, they can exchange genome segments in a process known as reassortment. Reassortment is an important source of genetic diversity and is known to have been involved in the emergence of most pandemic influenza strains. However, because of the difficulty in identifying reassortment events from viral sequence data, little is known about their role in the evolution of the seasonal influenza viruses. Here we introduce TreeKnit, a method that infers ancestral reassortment graphs (ARG) from two segment trees. It is based on topological differences between trees, and proceeds in a greedy fashion by finding regions that are compatible in the two trees. Using simulated genealogies with reassortments, we show that TreeKnit performs well in a wide range of settings and that it is as accurate as a more principled bayesian method, while being orders of magnitude faster. Finally, we show that it is possible to use the inferred ARG to better resolve segment trees and to construct more informative visualizations of reassortments.

Indexed as

Influenza, HumanOrthomyxoviridaeBayes TheoremGenome, ViralHumansPhylogenyReassortant Viruses

Identifiers

PMID35984845
PMCPMC9447925

What OpenQuestion holds

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LicenceCC BY
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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.