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Network embedding unveils the hidden interactions in the mammalian virome

Poisot, Timothée; Ouellet, Marie-Andrée; Mollentze, Nardus; Farrell, Maxwell J; Becker, Daniel J; Brierley, Liam; Albery, Gregory F; ... Carlson, Colin J; + view all (2023) Network embedding unveils the hidden interactions in the mammalian virome. Patterns , 4 (6) , Article 100738. 10.1016/j.patter.2023.100738. Green open access

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Abstract

Predicting host-virus interactions is fundamentally a network science problem. We develop a method for bipartite network prediction that combines a recommender system (linear filtering) with an imputation algorithm based on low-rank graph embedding. We test this method by applying it to a global database of mammal-virus interactions and thus show that it makes biologically plausible predictions that are robust to data biases. We find that the mammalian virome is under-characterized anywhere in the world. We suggest that future virus discovery efforts could prioritize the Amazon Basin (for its unique coevolutionary assemblages) and sub-Saharan Africa (for its poorly characterized zoonotic reservoirs). Graph embedding of the imputed network improves predictions of human infection from viral genome features, providing a shortlist of priorities for laboratory studies and surveillance. Overall, our study indicates that the global structure of the mammal-virus network contains a large amount of information that is recoverable, and this provides new insights into fundamental biology and disease emergence.

Type: Article
Title: Network embedding unveils the hidden interactions in the mammalian virome
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.patter.2023.100738
Publisher version: https://doi.org/10.1016/j.patter.2023.100738
Language: English
Additional information: © 2023 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10205873
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