Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/4814
Title: Investigating the viral ecology of global bee communities with high-throughput metagenomics
Authors: Galbraith, David A.
Fuller, Zachary L.
Ray, Allyson M.
Brockmann, Axel
Frazier, Maryann
Gikungu, Mary W.
Martinez, J. F. Iturralde
Kapheim, Karen M.
Kerby, Jefrey T.
Kocher, Sarah D.
Losyev, Oleksiy
Muli, Elliud
Patch, Harland M.
Rosa, Cristina
Sakamoto, Joyce M.
Stanley, Scott
Vaudo, Anthony D.
Grozinger, Christina M.
Issue Date: May-2018
Publisher: Nature Research
Citation: Scientific reports
Abstract: Bee viral ecology is a fascinating emerging area of research: viruses exert a range of efects on their hosts, exacerbate impacts of other environmental stressors, and, importantly, are readily shared across multiple bee species in a community. However, our understanding of bee viral communities is limited, as it is primarily derived from studies of North American and European Apis mellifera populations. Here, we examined viruses in populations of A. mellifera and 11 other bee species from 9 countries, across 4 continents and Oceania. We developed a novel pipeline to rapidly and inexpensively screen for bee viruses. This pipeline includes purifcation of encapsulated RNA/DNA viruses, sequence-independent amplifcation, high throughput sequencing, integrated assembly of contigs, and fltering to identify contigs specifcally corresponding to viral sequences. We identifed sequences for (+)ssRNA, (−) ssRNA, dsRNA, and ssDNA viruses. Overall, we found 127 contigs corresponding to novel viruses (i.e. previously not observed in bees), with 27 represented by >0.1% of the reads in a given sample, and 7 contained an RdRp or replicase sequence which could be used for robust phylogenetic analysis. This study provides a sequence-independent pipeline for viral metagenomics analysis, and greatly expands our understanding of the diversity of viruses found in bee communities.
Description: DOI: 10.1038/s41598-018-27164-z
URI: https://www.nature.com/articles/s41598-018-27164-z.pdf
http://repository.seku.ac.ke/handle/123456789/4814
ISSN: 2045-2322
Appears in Collections:School of Science and Computing (JA)

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