Replication Data for: Metagenomic analysis of female Aedes aegypti mosquito RNA metaviromes reveal presence of diverse insect specific viruses

Version 4.2
Replication Data for: Metagenomic analysis of female Aedes aegypti mosquito RNA metaviromes reveal presence of diverse insect specific viruses
Omuoyo, Donwilliams O.; Nyamwaya, Doris K.; Kamau, Everlyn; Nyagwange, James; Karanja, Henry K.; Gitonga, John N.; de Laurent, Zaydah; Kinyua, Johnson; Rono, Martin K.; Mwangangi, Joseph M.; Agoti, Charles N.; Warimwe, George M., 2023, "Replication Data for: Metagenomic analysis of female Aedes aegypti mosquito RNA metaviromes reveal presence of diverse insect specific viruses", https://doi.org/10.7910/DVN/4YV8PL, Harvard Dataverse, V4, UNF:6:uldxrPupDV8d6kgthu8Vrg== [fileUNF]
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Description

This is a replication dataset for the manuscript titled: "" submitted to Wellcome Open Research.

Coastal Kenya has experienced repeated outbreaks of DENV and CHIKV, and cases of microcephaly have also been reported. Despite the Arboviral burden, there is lack of systematic entomological surveillance. This study collected Aedes aegypti from different sites in coastal Kenya and characterized the viruses circulating in these mosquitoes. Mosquitoes were collected using BG-Sentinel traps, and pools comprised of female Aedes aegypti only generated. The resultant mosquito pools were then screened for presence of arboviruses using RT-PCR and then sequenced using a meta genomics approach to identify other viruses circulating in them. The mosquito collection dataset highlights the geographical location names and their respective geographical position coordinates (GPS) coordinates whereas the RT-PCR dataset describes arbovirus presence or absence findings. The mosquito collection dataset was key in generating a map showing sampling sites, while the RT-PCR dataset informed the mosquito pools to prioritise for sequencing.

Subject Medicine, Health and Life Sciences
Keyword Aedes aegypti, Virome, Metagenomics, Phylogenetics
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Data Access: Open

License: Creative Commons Attribution 4.0 International

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DOmuoyo_Mosquito_collection_ RTPCR_Data_Codebook.pdf
DOmuoyo_Mosquito_collection_ RTPCR_Data_Codebook.pdf
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Published Jan 19, 2023
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MD5: 46b6ea95a8737098fd09a49c725b8faf
DocumentationVariable Codebook/Data Dictionary
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DOmuoyo_Mosquito_collection_ RTPCR_Data_Readme.txt
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Published Jan 19, 2023
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MD5: f8536d90f3eb9617f762a1bebd5c47dc
DocumentationReadme
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merged_mosquito_samplingdata.tab
Tabular Data - 108.2 KB
Published Jan 19, 2023
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13 Variables, 732 Observations UNF:6:uldxrPupDV8d6kgthu8Vrg==
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merged_mosquito_samplingdata.xlsx
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Published Jan 19, 2023
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MD5: 624130c18fe9d747ea1bdacc54358d91
DataMS excel
Mosquito_collection_ RT-PCR_data .pdf
Mosquito_collection_ RT-PCR_data .pdf
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Published Jan 19, 2023
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MD5: 17ad297ae696d66638b3793bdf05b7b3
Data
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maps.R
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Published Jan 19, 2023
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MD5: 03e0f3523ee3edc71d8c217e6cd534ef
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PanFlavi_positive_MosquitoPools_contigs.fasta
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Published Feb 28, 2023
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MD5: cb6227437ef68165e80757125a211c88
Sequence data
Proportion of classified and unclassified total reads across Aedes aegypti pools.pdf
Proportion of classified and unclassified total reads across Aedes aegypti pools.pdf
Adobe PDF - 243.4 KB
Published Feb 22, 2023
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MD5: b0f70c2b38cd807aa2050e101fe19b24
Extended data
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Supplementary files.zip
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Published Jan 24, 2023
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MD5: df9af69c89b93a965eeda7b70ca69987
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Extended data
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Supplementary Table 1. Summary of RT-PCR positive samples.docx
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Published Feb 28, 2023
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MD5: 83ecdaa55e2d451f3ef8293486845e27
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