Evidence map›Paper›PMID 40169018›Full record

ReviewProceedings. Biological sciences2025

Making sense of the virome in light of evolution and ecology.

Megan A Wallace, Michelle Wille, Jemma Geoghegan, Ryan M Imrie, Edward C Holmes, Xavier A Harrison, Ben Longdon

Abstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  8. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    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

7 authors.

Megan A WallaceCentre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, Cornwall, UK.ORCID 0000-0001-5367-420X
Michelle WilleCentre for Pathogen Genomics, Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-5629-0196
Jemma GeogheganDepartment of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.ORCID 0000-0003-0970-0153
Ryan M ImrieCentre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, Cornwall, UK.ORCID 0000-0002-5055-2888
Edward C HolmesSchool of Medical Sciences, University of Sydney, Sydney, Australia.ORCID 0000-0001-9596-3552
Xavier A HarrisonCentre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, Cornwall, UK.ORCID 0000-0002-2004-3601
Ben LongdonCentre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, Cornwall, UK.ORCID 0000-0001-6936-1697

Funding

Innovation and Technology Commission, Hong Kong Special Administrative Region, ChinaLeverhulme TrustNational Health and Medical Research Council (NHMRC)New Zealand Royal Society Rutherford Discovery FellowshipRoyal SocietyWebster Family Chair in Viral PathogenesisWellcome Trust 109356/Z/15/Z
6 · The paper itself

Abstract

Understanding the patterns and drivers of viral prevalence and abundance is of key importance for understanding pathogen emergence. Over the last decade, metagenomic sequencing has exponentially expanded our knowledge of the diversity and evolution of viruses associated with all domains of life. However, as most of these 'virome' studies are primarily descriptive, our understanding of the predictors of virus prevalence, abundance and diversity, and their variation in space and time, remains limited. For example, we do not yet understand the relative importance of ecological predictors (e.g. seasonality and habitat) versus evolutionary predictors (e.g. host and virus phylogenies) in driving virus prevalence and diversity. Few studies are set up to reveal the factors that predict the virome composition of individual hosts, populations or species. In addition, most studies of virus ecology represent a snapshot of single species viromes at a single point in time and space. Fortunately, recent studies have begun to use metagenomic data to directly test hypotheses about the evolutionary and ecological factors which drive virus prevalence, sharing and diversity. By synthesizing evidence across studies, we present some over-arching ecological and evolutionary patterns in virome composition, and illustrate the need for additional work to quantify the drivers of virus prevalence and diversity.

Indexed as

Biological EvolutionViromeVirusesEcologyEcosystemviromevirus communitiesvirus ecologyvirusesvirus evolutionvirus metagenomics

Identifiers

PMID40169018
PMCPMC11961256

What OpenQuestion holds

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LicenceCC BY
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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.