Evidence map›Paper›PMID 27774287›Full record

ArticleVirus evolution2015

Host ecology determines the dispersal patterns of a plant virus.

Nídia Sequeira Trovão, Guy Baele, Bram Vrancken, Filip Bielejec, Marc A Suchard, Denis Fargette, Philippe Lemey

Abstract read
In one paragraph

Article in Virus evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  4. Modeling the velocity of evolving lineages and predicting dispersal patterns.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  5. Review
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  11. Phylogeographic reconstruction of the emergence and spread of Powassan virus in the northeastern United States.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
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  15. Review
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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

7 authors.

Nídia Sequeira TrovãoDepartment of Microbiology and Immunology, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Guy BaeleDepartment of Microbiology and Immunology, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Bram VranckenDepartment of Microbiology and Immunology, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Filip BielejecDepartment of Microbiology and Immunology, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Marc A SuchardDepartments of Biomathematics and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 0095-1766, USA,; Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles, CA 0095-1766, USA and.
Denis FargetteInstitut de Recherches pour le Développement (IRD), UMR IPME (IRD, CIRAD, Université de Montpellier), 34394 Montpellier, France.
Philippe LemeyDepartment of Microbiology and Immunology, Rega Institute, KU Leuven, 3000 Leuven, Belgium.

Funding

Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
BAYESIAN MODELING AND DATA INTEGRATION IN INFECTIOUS DISEASE PHYLODYNAMICSR01AI107034 · NIAID · UNIVERSITY OF WASHINGTON · PI MININ, VOLODYMYR · 2013 to 2017
$1.7M
NHGRI NIH HHS R01 HG006139NIAID NIH HHS R01 AI107034
6 · The paper itself

Abstract

Since its isolation in 1966 in Kenya, rice yellow mottle virus (RYMV) has been reported throughout Africa resulting in one of the economically most important tropical plant emerging diseases. A thorough understanding of RYMV evolution and dispersal is critical to manage viral spread in tropical areas that heavily rely on agriculture for subsistence. Phylogenetic analyses have suggested a relatively recent expansion, perhaps driven by the intensification of agricultural practices, but this has not yet been examined in a coherent statistical framework. To gain insight into the historical spread of RYMV within Africa rice cultivations, we analyse a dataset of 300 coat protein gene sequences, sampled from East to West Africa over a 46-year period, using Bayesian evolutionary inference. Spatiotemporal reconstructions date the origin of RMYV back to 1852 (1791-1903) and confirm Tanzania as the most likely geographic origin. Following a single long-distance transmission event from East to West Africa, separate viral populations have been maintained for about a century. To identify the factors that shaped the RYMV distribution, we apply a generalised linear model (GLM) extension of discrete phylogenetic diffusion and provide strong support for distances measured on a rice connectivity landscape as the major determinant of RYMV spread. Phylogeographic estimates in continuous space further complement this by demonstrating more pronounced expansion dynamics in West Africa that are consistent with agricultural intensification and extensification. Taken together, our principled phylogeographic inference approach shows for the first time that host ecology dynamics have shaped the historical spread of a plant virus.

Indexed as

Bayesian inferencedisease ecologyphylogeographyplant virusRYMVviral evolution

Identifiers

PMID27774287
PMCPMC5014491

What OpenQuestion holds

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LicenceCC BY-NC
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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.