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Record W4417261588 · doi:10.64898/2025.12.10.693612

Vampire bats in Belize harbor multiple <i>Trypanosoma cruzi</i> genotypes: implications for parasite transmission at the wildlife–domestic–human interface

2025· preprint· W4417261588 on OpenAlexaff
Annalise Dunsmore, Kristin E. Dyer, Lauren R. Lock, Weihong Tu, M. Brock Fenton, Nancy B. Simmons, Eric Dumonteil, Daniel J. Becker, Claudia Herrera

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Language
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsWestern University
Fundersnot available
KeywordsObligateHaplotypeDesmodus rotundusTransmission (telecommunications)Parasite hostingBiodiversityVampire

Abstract

fetched live from OpenAlex

Abstract Background Chagas disease, caused by Trypanosoma cruzi , is a neglected tropical disease with complex sylvatic and domestic transmission cycles involving vectors, mammalian hosts, and humans. The common vampire bat ( Desmodus rotundus ) is an obligate blood-feeding species that frequently interacts with livestock and humans, yet their role in parasite maintenance in Central America remains poorly characterized. Methodology/Principal Findings We analyzed 205 blood samples from vampire bats collected at two sites in northern Belize over three years (2019, 2021, 2022). PCR screening revealed an overall T. cruzi prevalence of 41.5% and increasing infection risks over time. The amplicon-based next-generation sequencing of the parasite mini-exon locus identified 36 unique haplotypes belonging to five DTUs: TcI, TcIV, TcV, TcVI, and TcBat. TcBat was present in half of the samples sequenced. TcBat and TcVI, were detected in Belize for the first time. Belizean TcBat haplotypes clustered closely with Colombian reference sequences, and a subset formed a Belize-specific clade, indicating previously unrecognized TcBat diversity in the region; in contrast, Brazilian TcBat sequences were more distantly related. Conclusions/Significance Vampire bats in Belize harbor diverse T. cruzi genotypes, including DTUs with established roles in human disease. Given their obligate blood diet, frequent feeding on livestock, and occasional biting of humans, vampire bats may serve as bridge hosts linking sylvatic, domestic, and human transmission cycles. Together with a recent report of an acute human Chagas disease case in northern Belize, these results underscore the need for integrated One Health surveillance of bats, vectors, livestock, and humans to better evaluate and mitigate the risk of Chagas disease in Central America. Author Summary Chagas disease, caused by the parasite Trypanosoma cruzi , is a major public health concern in the Americas but remains neglected in many regions, including Central America. The parasite is typically transmitted by kissing bugs, but wild mammals also serve as important hosts. Vampire bats ( Desmodus rotundus ) are unique because they feed exclusively blood and frequently bite livestock, and occasionally humans, creating opportunities for parasite transmission across different environments. In this study, we screened 205 vampire bats from northern Belize and found that over 40% were infected with T. cruzi . By sequencing parasite DNA, we discovered a surprising diversity of DTUs, including TcI, TcIV, TcV, TcVI, and TcBat. The detection of TcVI is particularly important, because this DTU, associated with human infections in South America, had not been previously reported in Belize. TcBat haplotypes were highly prevalent and genetically diverse. Our results show that vampire bats are important hosts of diverse T. cruzi genotypes in Belize and may act as bridge hosts between wildlife, livestock, human transmission cycles. Enhanced One Health surveillance across vectors, bats, domestic animals, and humans will be critical for understanding and preventing Chagas disease emergence in Central America.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.311
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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