Evidence map›Paper›PMID 39050720›Full record

ArticleRoyal Society open science2024

Identifying life-history patterns along the fast-slow continuum of mammalian viral carriers.

Andrea Tonelli, Hernan Caceres-Escobar, Marcus S C Blagrove, Maya Wardeh, Moreno Di Marco

Abstract read
In one paragraph

Article in Royal Society open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Assessment of sexual dimorphismbioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Article
  4. 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

5 authors.

Andrea TonelliDepartment of Biology and Biotechnologies 'Charles Darwin', Sapienza University of Rome, Rome, Italy.ORCID 0009-0009-1435-8381
Hernan Caceres-EscobarDepartment of Biology and Biotechnologies 'Charles Darwin', Sapienza University of Rome, Rome, Italy.
Marcus S C BlagroveInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Maya WardehInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Moreno Di MarcoDepartment of Biology and Biotechnologies 'Charles Darwin', Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-8902-4193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Life-history traits have been identified as major indicators of mammals' susceptibility and exposure to viruses due to evolutionary constraints that link life-history speed with species' ecology and immunity. Nonetheless, it is unclear where along the fast-slow continuum of mammalian life-history lies the greatest diversity of host species. Consequently, life-history patterns that govern host-virus associations remain largely unknown. Here we analyse the virome of 1350 wild mammals and detect the characteristics that drive species' compatibility with different groups of viruses. We highlight that mammals with larger body size and either very rapid or very slow life histories are more likely to carry different groups of viruses, particularly zoonotic ones. While some common life-history patterns emerge across carriers, eco-evolutionary characteristics of viral groups appear to determine association with certain carrier species. Our findings underline the importance of incorporating both mammals' life-history information and viruses' ecological diversity into surveillance strategies to identify potential zoonotic carriers in wildlife.

Indexed as

disease ecologylife-historyviruseszoonosis

Identifiers

PMID39050720
PMCPMC11265862

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.