Evidence map›Paper›PMID 40625333›Full record

ArticleEcology and evolution2025

Anthropogenic Factors and Social Organisation Drive Picobirnavirus Communities in Wild Rhesus Macaques.

Krishna N Balasubramaniam, Isamara Navarrete-Macias, Shariful Islam, Heather L Wells, Christopher Tubbs, Nistara Randhawa, Melinda K Rostal, Karin E Darpel, Daniel Horton, Jonathan H Epstein and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Krishna N BalasubramaniamSchool of Life Sciences, Faculty of Science and Engineering Anglia Ruskin University Cambridge UK.ORCID https://orcid.org/0000-0002-2101-0588
Isamara Navarrete-MaciasDepartment of Pathology, Microbiology, and Immunology, School of Veterinary Medicine University of California at Davis Davis California USA.
Shariful IslamInstitute of Epidemiology Disease Control and Research (IEDCR) Dhaka Bangladesh.
Heather L WellsDepartment of Pathology, Microbiology, and Immunology, School of Veterinary Medicine University of California at Davis Davis California USA.
Christopher TubbsReproductive Sciences, Conservation Science Wildlife Health San Diego Zoo Wildlife Alliance San Diego California USA.
Nistara RandhawaOne Health Institute, School of Veterinary Medicine University of California at Davis Davis California USA.
Melinda K RostalEcoHealth Alliance New York New York USA.
Karin E DarpelThe Pirbright Institute Pirbright UK.
Daniel HortonUniversity of Surrey School of Veterinary Medicine Guildford UK.
Jonathan H EpsteinEcoHealth Alliance New York New York USA.
Ariful IslamGulbali Research Institute Charles Sturt University Wagga Wagga New South Wales Australia.
Simon J AnthonyDepartment of Pathology, Microbiology, and Immunology, School of Veterinary Medicine University of California at Davis Davis California USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biologists are increasingly interested in the ecological and evolutionary factors that influence microbial communities. Yet compared to bacterial communities, our understanding of viral community ecology remains limited. Here, we investigated the factors influencing viral community composition and structure among wild rhesus macaques (

Indexed as

anthropogenic factorsjoint species distributions modelsmicrobial community ecologypicobirnavirusesrhesus macaquessocial network analysissocial organisation

Identifiers

PMID40625333
PMCPMC12230366

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.