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Metatranscriptomic analyses of honey bee colonies

Honey bees face numerous biotic threats from viruses to bacteria, fungi, protists, and mites. Here we describe a thorough analysis of microbes harbored by worker honey bees collected from field colonies in geographically distinct regions of Turkey. Turkey is one of the World's most important ce...

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Autores principales: Tozkar, Cansu Ö., Kence, Meral, Kence, Aykut, Huang, Qiang, Evans, Jay D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365734/
https://www.ncbi.nlm.nih.gov/pubmed/25852743
http://dx.doi.org/10.3389/fgene.2015.00100
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author Tozkar, Cansu Ö.
Kence, Meral
Kence, Aykut
Huang, Qiang
Evans, Jay D.
author_facet Tozkar, Cansu Ö.
Kence, Meral
Kence, Aykut
Huang, Qiang
Evans, Jay D.
author_sort Tozkar, Cansu Ö.
collection PubMed
description Honey bees face numerous biotic threats from viruses to bacteria, fungi, protists, and mites. Here we describe a thorough analysis of microbes harbored by worker honey bees collected from field colonies in geographically distinct regions of Turkey. Turkey is one of the World's most important centers of apiculture, harboring five subspecies of Apis mellifera L., approximately 20% of the honey bee subspecies in the world. We use deep ILLUMINA-based RNA sequencing to capture RNA species for the honey bee and a sampling of all non-endogenous species carried by bees. After trimming and mapping these reads to the honey bee genome, approximately 10% of the sequences (9–10 million reads per library) remained. These were then mapped to a curated set of public sequences containing ca. Sixty megabase-pairs of sequence representing known microbial species associated with honey bees. Levels of key honey bee pathogens were confirmed using quantitative PCR screens. We contrast microbial matches across different sites in Turkey, showing new country recordings of Lake Sinai virus, two Spiroplasma bacterium species, symbionts Candidatus Schmidhempelia bombi, Frischella perrara, Snodgrassella alvi, Gilliamella apicola, Lactobacillus spp.), neogregarines, and a trypanosome species. By using metagenomic analysis, this study also reveals deep molecular evidence for the presence of bacterial pathogens (Melissococcus plutonius, Paenibacillus larvae), Varroa destructor-1 virus, Sacbrood virus, and fungi. Despite this effort we did not detect KBV, SBPV, Tobacco ringspot virus, VdMLV (Varroa Macula like virus), Acarapis spp., Tropilaeleps spp. and Apocephalus (phorid fly). We discuss possible impacts of management practices and honey bee subspecies on microbial retinues. The described workflow and curated microbial database will be generally useful for microbial surveys of healthy and declining honey bees.
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spelling pubmed-43657342015-04-07 Metatranscriptomic analyses of honey bee colonies Tozkar, Cansu Ö. Kence, Meral Kence, Aykut Huang, Qiang Evans, Jay D. Front Genet Genetics Honey bees face numerous biotic threats from viruses to bacteria, fungi, protists, and mites. Here we describe a thorough analysis of microbes harbored by worker honey bees collected from field colonies in geographically distinct regions of Turkey. Turkey is one of the World's most important centers of apiculture, harboring five subspecies of Apis mellifera L., approximately 20% of the honey bee subspecies in the world. We use deep ILLUMINA-based RNA sequencing to capture RNA species for the honey bee and a sampling of all non-endogenous species carried by bees. After trimming and mapping these reads to the honey bee genome, approximately 10% of the sequences (9–10 million reads per library) remained. These were then mapped to a curated set of public sequences containing ca. Sixty megabase-pairs of sequence representing known microbial species associated with honey bees. Levels of key honey bee pathogens were confirmed using quantitative PCR screens. We contrast microbial matches across different sites in Turkey, showing new country recordings of Lake Sinai virus, two Spiroplasma bacterium species, symbionts Candidatus Schmidhempelia bombi, Frischella perrara, Snodgrassella alvi, Gilliamella apicola, Lactobacillus spp.), neogregarines, and a trypanosome species. By using metagenomic analysis, this study also reveals deep molecular evidence for the presence of bacterial pathogens (Melissococcus plutonius, Paenibacillus larvae), Varroa destructor-1 virus, Sacbrood virus, and fungi. Despite this effort we did not detect KBV, SBPV, Tobacco ringspot virus, VdMLV (Varroa Macula like virus), Acarapis spp., Tropilaeleps spp. and Apocephalus (phorid fly). We discuss possible impacts of management practices and honey bee subspecies on microbial retinues. The described workflow and curated microbial database will be generally useful for microbial surveys of healthy and declining honey bees. Frontiers Media S.A. 2015-03-19 /pmc/articles/PMC4365734/ /pubmed/25852743 http://dx.doi.org/10.3389/fgene.2015.00100 Text en Copyright © 2015 Tozkar, Kence, Kence, Huang and Evans. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Tozkar, Cansu Ö.
Kence, Meral
Kence, Aykut
Huang, Qiang
Evans, Jay D.
Metatranscriptomic analyses of honey bee colonies
title Metatranscriptomic analyses of honey bee colonies
title_full Metatranscriptomic analyses of honey bee colonies
title_fullStr Metatranscriptomic analyses of honey bee colonies
title_full_unstemmed Metatranscriptomic analyses of honey bee colonies
title_short Metatranscriptomic analyses of honey bee colonies
title_sort metatranscriptomic analyses of honey bee colonies
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4365734/
https://www.ncbi.nlm.nih.gov/pubmed/25852743
http://dx.doi.org/10.3389/fgene.2015.00100
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