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Metatranscriptomic analyses of honey bee colonies

Overview of attention for article published in Frontiers in Genetics, March 2015
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Title
Metatranscriptomic analyses of honey bee colonies
Published in
Frontiers in Genetics, March 2015
DOI 10.3389/fgene.2015.00100
Pubmed ID
Authors

Cansu Ö. Tozkar, Meral Kence, Aykut Kence, Qiang Huang, Jay D. Evans

Abstract

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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Brazil 2 1%
Turkey 1 <1%
Spain 1 <1%
France 1 <1%
Unknown 129 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 23%
Researcher 21 15%
Student > Master 20 14%
Student > Postgraduate 10 7%
Professor > Associate Professor 9 7%
Other 24 17%
Unknown 22 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 41%
Biochemistry, Genetics and Molecular Biology 24 17%
Veterinary Science and Veterinary Medicine 5 4%
Environmental Science 4 3%
Engineering 3 2%
Other 13 9%
Unknown 32 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2015.
All research outputs
#15,288,925
of 23,498,099 outputs
Outputs from Frontiers in Genetics
#4,680
of 12,515 outputs
Outputs of similar age
#150,475
of 265,170 outputs
Outputs of similar age from Frontiers in Genetics
#119
of 157 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,515 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.