Relative contributions of various endogenous and exogenous factors to the mosquito microbiota
UMB Dataset
UID: 211
Author(s):
Haikel N. Bogale,
Matthew V. Cannon,
Kalil Keita,
Denka Camara,
Yaya Barry,
Moussa Keita,
Drissa Coulibaly,
Abdoulaye K. Kone,
Ogobara K. Doumbo,
Mahamadou A. Thera,
Christopher V. Plowe,
Mark Travassos,
Seth Irish,
David Serre** Corresponding Author
Description
Researchers used a high-throughput sequencing-based assay to characterize the bacterial composition and diversity of 665 individual field-caught mosquitoes, as well as their species, genotype at an insecticide resistance locus, blood-meal composition, and the eukaryotic parasites and viruses they carry. This data was used to rigorously estimate the individual effect of each parameter on the bacterial diversity as well as the relative contribution of each parameter to the microbial composition.
Data generated or analyzed during this study are included in this published article and its additional files. All raw sequences are available in the NCBI Sequence Read Archive. The custom scripts supporting the conclusions of this article are available in the MosqMicrobiome_Paper repository on GitHub.
Algorithm and program for comparing primary biological sequence information, such as the amino-acid sequences of proteins or the nucleotides of DNA and/or RNA sequences.
Open source software R package for modeling and correcting Illumina sequenced amplicon errors. Fast and accurate sample inference from amplicon data with single nucleotide resolution.
FLASh
An accurate and fast tool to merge paired-end reads that were generated from DNA fragments whose lengths are shorter than twice the length of reads.