Evidence map›Paper›PMID 38240642›Full record

ArticleMicrobial genomics2024

Tracking arboviruses, their transmission vectors and potential hosts by nanopore sequencing of mosquitoes.

Jeremy D Mirza, Lilian de Oliveira Guimarães, Sam Wilkinson, Esmenia C Rocha, Mayara Bertanhe, Vanessa Christe Helfstein, Juliana Telles de-Deus, Ingra M Claro, Nicola Cumley, Joshua Quick and 4 more

Abstract read
In one paragraph

Article in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
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  7. Article
  8. Article
  9. Characterizing the Bacterial Microbiome of the Invasive VectorInternational journal of microbiology · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. 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

14 authors.

Jeremy D MirzaInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Lilian de Oliveira GuimarãesInstituto Pasteur, São Paulo, Brazil.
Sam WilkinsonDepartment of Biosciences, University of Birmingham, Birmingham, UK.
Esmenia C RochaInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Mayara BertanheInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Vanessa Christe HelfsteinInstituto Pasteur, São Paulo, Brazil.
Juliana Telles de-DeusInstituto Pasteur, São Paulo, Brazil.
Ingra M ClaroInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Nicola CumleyDepartment of Biosciences, University of Birmingham, Birmingham, UK.
Joshua QuickDepartment of Biosciences, University of Birmingham, Birmingham, UK.
Nuno R FariaMRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Ester C SabinoInstituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Karin KirchgatterInstituto Pasteur, São Paulo, Brazil.
Nicholas J LomanDepartment of Biosciences, University of Birmingham, Birmingham, UK.

Funding

Medical Research Council MC_PC_15100Medical Research Council MR/M501621/1Medical Research Council MR/S019510/1Medical Research Council MR/S035362/1Wellcome Trust
6 · The paper itself

Abstract

The risk to human health from mosquito-borne viruses such as dengue, chikungunya and yellow fever is increasing due to increased human expansion, deforestation and climate change. To anticipate and predict the spread and transmission of mosquito-borne viruses, a better understanding of the transmission cycle in mosquito populations is needed. We present a pathogen-agnostic combined sequencing protocol for identifying vectors, viral pathogens and their hosts or reservoirs using portable Oxford Nanopore sequencing. Using mosquitoes collected in São Paulo, Brazil, we extracted RNA for virus identification and DNA for blood meal and mosquito identification. Mosquitoes and blood meals were identified by comparing cytochrome c oxidase I (COI) sequences against a curated Barcode of Life Data System (BOLD). Viruses were identified using the SMART-9N protocol, which allows amplified DNA to be prepared with native barcoding for nanopore sequencing. Kraken 2 was employed to detect viral pathogens and Minimap2 and BOLD identified the contents of the blood meal. Due to the high similarity of some species, mosquito identification was conducted using blast after generation of consensus COI sequences using RACON polishing. This protocol can simultaneously uncover viral diversity, mosquito species and mosquito feeding habits. It also has the potential to increase understanding of mosquito genetic diversity and transmission dynamics of zoonotic mosquito-borne viruses.

Indexed as

ArbovirusesCulicidaeNanopore SequencingAnimalsBrazilDNAHumansMosquito VectorsDNAarbovirusescytochrome c oxidasemetagenomicsmosquitoesnanoporeSMART-9N

Identifiers

PMID38240642
PMCPMC10868619

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.