Evidence map›Paper›PMID 41607870›Full record

ArticleVirus evolution2026

Intrahost population dynamics of chikungunya virus in humans and naturally infected

Cecília Artico Banho, Beatriz de Carvalho Marques, Olivia Borghi Nascimento, Maisa Carla Pereira Parra, Maria Vitória Moraes Ferreira, Ana Paula Lemos, Gabriel Pires Magnani, Karine Lima Lourenço, Beatriz Cunha de Souza, Victor Miranda Hernandes and 5 more

Abstract read
In one paragraph

Article in Virus evolution, 2026. 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

15 authors.

Cecília Artico BanhoLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Beatriz de Carvalho MarquesLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Olivia Borghi NascimentoLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Maisa Carla Pereira ParraLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Maria Vitória Moraes FerreiraLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Ana Paula LemosLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Gabriel Pires MagnaniLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Karine Lima LourençoLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Beatriz Cunha de SouzaLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Victor Miranda HernandesLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Marini Lino BranciniLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
Cassia Fernanda EstofoleteLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.
João Pessoa Araújo JúniorInstitute of Biotechnology, São Paulo State University (Unesp), Alameda das Tecomarias s/n, Chácara Capão Bonito, 18607-440, Botucatu, São Paulo, Brazil.
Nikos VasilakisDepartment of Pathology, University of Texas Medical Branch, 301 University Boulevard, Galveston, 77555, Texas, United States of America.
Maurício Lacerda NogueiraLaboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto, Avenida Brigadeiro Faria Lima, 5416, Vila São Pedro, 15090-000, São José do Rio Preto, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-1102-2419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA viruses exhibit a high mutation rate, contributing to their genetic diversity mainly because their RNA polymerase lacks proofreading ability. Arboviruses, which alternate between vertebrate and invertebrate hosts, are subjected to host-specific selective pressures and population bottlenecks, mainly within mosquito vectors. Although experimental studies have brought insights into their evolutionary dynamics, data from naturally infected vectors remain limited. Here, we investigated the intrahost genetic diversity of chikungunya virus (CHIKV-ECSA lineage) through whole-genome sequencing of 19 human- and 19 mosquito-derived genomes from the 2024 outbreak in São José do Rio Preto, Brazil. Our principal component analysis revealed a greater mutation number in mosquito-derived genomes, predominantly driven by low-frequency and unique variants. Overall, intrahost genetic diversity was significantly higher in mosquito-derived than in human-derived CHIKV genomes, and protein-coding regions showed host-specific patterns. We identified 303 mutations across all CHIKV genomes. Interestingly, shared mutations were predominantly classified as synonymous, whereas unique mutations were mainly nonsynonymous. Gene-wide selection analyses indicated that purifying selection predominates across CHIKV genomes from both humans and mosquitoes, suggesting that most mutations, particularly nonsynonymous ones, are deleterious and subject to purifying selection. However, in mosquito-derived CHIKV genomes, evidence of relaxed purifying selection and neutral evolution, in specific proteins, such as E3 and NSP3, respectively, was observed, in contrast to the stronger purifying selection observed in human-derived CHIKV sequences. Site-specific selection analyses corroborated these results, detecting negatively selected sites in human-derived genomes but not in mosquito-derived genomes for these specific proteins. Together, our results show that these host-specific differences enable mosquitoes to act as reservoirs of genetic diversity by maintaining nonsynonymous variants, likely driven by genetic drift. At the same time, human hosts may impose stronger selective pressures, contributing to preserving the genome stability. This dynamic balance between diversification in vector populations and selective constraints in vertebrate hosts likely drives CHIKV evolution and adaptation.

Indexed as

Aedes mosquitoesarbovirusevolutionwithin-host viral diversity

Identifiers

PMID41607870
PMCPMC12840586

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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.