Evidence map›Paper›PMID 33904402›Full record

ArticleeLife2021

Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay.

Joshua Batson, Gytis Dudas, Eric Haas-Stapleton, Amy L Kistler, Lucy M Li, Phoenix Logan, Kalani Ratnasiri, Hanna Retallack

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
–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

84 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Fungal microbiota diversity inWellcome open research · 2026
    Pooled it
  2. Article
  3. Article
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  5. Integrating metagenomics and metatranscriptomics intoThe Journal of general virology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Putative Novel Viruses in the FamiliesAdvances in virology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Heritable viral symbionts in the familyApplied and environmental microbiology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

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

8 authors.

Joshua Batson *Chan Zuckerberg Biohub, San Francisco, United States.
Gytis Dudas *Gothenburg Global Biodiversity Centre, Gothenburg, Sweden.ORCID 0000-0002-0227-4158
Eric Haas-Stapleton *Alameda County Mosquito Abatement District, Hayward, United States.
Amy L Kistler *Chan Zuckerberg Biohub, San Francisco, United States.ORCID 0000-0003-1112-719X
Lucy M Li *Chan Zuckerberg Biohub, San Francisco, United States.ORCID 0000-0002-6562-4004
Phoenix Logan *Chan Zuckerberg Biohub, San Francisco, United States.
Kalani Ratnasiri *Program in Immunology, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0001-5953-0004
Hanna Retallack *Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, United States.ORCID 0000-0003-0533-9102

Funding

Medical Scientist Training Program (T32 NRSA Training Grant)T32GM141323 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Aimee Kao · 2021 to 2026
$10.5M
NIGMS NIH HHS T32 GM141323
6 · The paper itself

Abstract

Mosquitoes are major infectious disease-carrying vectors. Assessment of current and future risks associated with the mosquito population requires knowledge of the full repertoire of pathogens they carry, including novel viruses, as well as their blood meal sources. Unbiased metatranscriptomic sequencing of individual mosquitoes offers a straightforward, rapid, and quantitative means to acquire this information. Here, we profile 148 diverse wild-caught mosquitoes collected in California and detect sequences from eukaryotes, prokaryotes, 24 known and 46 novel viral species. Importantly, sequencing individuals greatly enhanced the value of the biological information obtained. It allowed us to (a) speciate host mosquito, (b) compute the prevalence of each microbe and recognize a high frequency of viral co-infections, (c) associate animal pathogens with specific blood meal sources, and (d) apply simple co-occurrence methods to recover previously undetected components of highly prevalent segmented viruses. In the context of emerging diseases, where knowledge about vectors, pathogens, and reservoirs is lacking, the approaches described here can provide actionable information for public health surveillance and intervention decisions.

Indexed as

Disease ReservoirsGene Expression ProfilingAedesAnimalsCaliforniaCommunicable Diseases, EmergingCulexCulicidaeExome SequencingInsect Vectorsblood meal reservoirepidemiologygeneticsgenomicsglobal healthmicrobiotamosquitoviral discoveryvirusxenosurveillance

Identifiers

PMID33904402
PMCPMC8110308

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.