Evidence map›Paper›PMID 42807344›Full record

ReviewFrontiers in immunology2026

Mismatched and underrepresented: bat-virus diversity and phylogeographic bias in experimental infection studies.

Luis Víquez-R, Thomas P Mazzarulli, Melissa T R Hawkins, Ashlyn P Sak, José F González-Maya, Kenneth A Field, DeeAnn M Reeder

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Luis Víquez-RDepartment of Biology, Bucknell University, Lewisburg, PA, United States.
Thomas P MazzarulliDepartment of Biology, Bucknell University, Lewisburg, PA, United States.
Melissa T R HawkinsNational Museum of Natural History, Smithsonian Institution, Washington, DC, United States.
Ashlyn P SakDepartment of Biology, Bucknell University, Lewisburg, PA, United States.
José F González-MayaUniversidad Autónoma Metropolitana-Lerma, Lerma, Mexico.
Kenneth A FieldDepartment of Biology, Bucknell University, Lewisburg, PA, United States.
DeeAnn M ReederDepartment of Biology, Bucknell University, Lewisburg, PA, United States.

Funding

Tolerance and resistance responses of African bats to viral antigens: Immunological tradeoffs in zoonotic reservoir hosts.R01AI151144 · NIAID · BUCKNELL UNIVERSITY · PI FIELD, KENNETH A, REEDER, DEEANN · 2021 to 2025
$3.0M
NIAID NIH HHS R01 AI151144
6 · The paper itself

Abstract

Despite growing interest in bat-virus interactions, experimental infection studies (EIS) remain taxonomically and geographically restricted, limiting inference about bat immunology and zoonotic risk. We performed a systematic literature search (Jan 1900-Jan 2025) and manually curated peer-reviewed primary studies of viral experimental infections in live bats and bat-derived cell lines (BdCL). From 545 candidate records we retained 127 papers (83 live-bat, 44 BdCL), comprising 315 unique bat-virus trials. We categorized host taxonomy, viral family (ICTV), and biogeographical congruence, to quantify temporal trends, taxonomic coverage, and host-virus pairing patterns. Results show stark underrepresentation: only 45 of ~1,500 bat species (3.2%) and 7 of 21 bat families appear in EIS. Pteropodidae, Vespertilionidae, Phyllostomidae, and Molossidae dominate studies, with

Indexed as

ChiropteraVirus DiseasesAnimalsHost-Pathogen InteractionsPhylogeographybatsbat-virus relationshipscell linesChiropteraexperimental infectionorganoidsviral infectionzoonoses

Identifiers

PMID42807344
PMCPMC13617609

What OpenQuestion holds

Textmetadata
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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.