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Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay
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 sequen...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110308/ https://www.ncbi.nlm.nih.gov/pubmed/33904402 http://dx.doi.org/10.7554/eLife.68353 |
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author | Batson, Joshua Dudas, Gytis Haas-Stapleton, Eric Kistler, Amy L Li, Lucy M Logan, Phoenix Ratnasiri, Kalani Retallack, Hanna |
author_facet | Batson, Joshua Dudas, Gytis Haas-Stapleton, Eric Kistler, Amy L Li, Lucy M Logan, Phoenix Ratnasiri, Kalani Retallack, Hanna |
author_sort | Batson, Joshua |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8110308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-81103082021-05-12 Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay Batson, Joshua Dudas, Gytis Haas-Stapleton, Eric Kistler, Amy L Li, Lucy M Logan, Phoenix Ratnasiri, Kalani Retallack, Hanna eLife Epidemiology and Global Health 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. eLife Sciences Publications, Ltd 2021-04-27 /pmc/articles/PMC8110308/ /pubmed/33904402 http://dx.doi.org/10.7554/eLife.68353 Text en © 2021, Batson et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Batson, Joshua Dudas, Gytis Haas-Stapleton, Eric Kistler, Amy L Li, Lucy M Logan, Phoenix Ratnasiri, Kalani Retallack, Hanna Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay |
title | Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay |
title_full | Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay |
title_fullStr | Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay |
title_full_unstemmed | Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay |
title_short | Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay |
title_sort | single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110308/ https://www.ncbi.nlm.nih.gov/pubmed/33904402 http://dx.doi.org/10.7554/eLife.68353 |
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