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


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
27 04 2021
Historique:
received: 22 03 2021
accepted: 09 04 2021
pubmed: 28 4 2021
medline: 5 10 2022
entrez: 27 4 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33904402
doi: 10.7554/eLife.68353
pii: 68353
pmc: PMC8110308
doi:
pii:

Banques de données

figshare
['10.6084/m9.figshare.11832999']

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM141323
Pays : United States

Informations de copyright

© 2021, Batson et al.

Déclaration de conflit d'intérêts

JB, GD, EH, AK, LL, PL, KR, HR No competing interests declared

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Auteurs

Joshua Batson (J)

Chan Zuckerberg Biohub, San Francisco, United States.

Gytis Dudas (G)

Gothenburg Global Biodiversity Centre, Gothenburg, Sweden.

Eric Haas-Stapleton (E)

Alameda County Mosquito Abatement District, Hayward, United States.

Amy L Kistler (AL)

Chan Zuckerberg Biohub, San Francisco, United States.

Lucy M Li (LM)

Chan Zuckerberg Biohub, San Francisco, United States.

Phoenix Logan (P)

Chan Zuckerberg Biohub, San Francisco, United States.

Kalani Ratnasiri (K)

Program in Immunology, Stanford University School of Medicine, Stanford, United States.

Hanna Retallack (H)

Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, United States.

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Classifications MeSH