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      Temporal Analysis of the Honey Bee Microbiome Reveals Four Novel Viruses and Seasonal Prevalence of Known Viruses, Nosema, and Crithidia

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          Abstract

          Honey bees ( Apis mellifera) play a critical role in global food production as pollinators of numerous crops. Recently, honey bee populations in the United States, Canada, and Europe have suffered an unexplained increase in annual losses due to a phenomenon known as Colony Collapse Disorder (CCD). Epidemiological analysis of CCD is confounded by a relative dearth of bee pathogen field studies. To identify what constitutes an abnormal pathophysiological condition in a honey bee colony, it is critical to have characterized the spectrum of exogenous infectious agents in healthy hives over time. We conducted a prospective study of a large scale migratory bee keeping operation using high-frequency sampling paired with comprehensive molecular detection methods, including a custom microarray, qPCR, and ultra deep sequencing. We established seasonal incidence and abundance of known viruses, Nosema sp., Crithidia mellificae, and bacteria. Ultra deep sequence analysis further identified four novel RNA viruses, two of which were the most abundant observed components of the honey bee microbiome (∼10 11 viruses per honey bee). Our results demonstrate episodic viral incidence and distinct pathogen patterns between summer and winter time-points. Peak infection of common honey bee viruses and Nosema occurred in the summer, whereas levels of the trypanosomatid Crithidia mellificae and Lake Sinai virus 2, a novel virus, peaked in January.

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          Primer3Plus, an enhanced web interface to Primer3

          Here we present Primer3Plus, a new web interface to the popular Primer3 primer design program as an enhanced alternative for the CGI- scripts that come with Primer3. Primer3 consists of a command line program and a web interface. The web interface is one large form showing all of the possible options. This makes the interface powerful, but at the same time confusing for occasional users. Primer3Plus provides an intuitive user interface using present-day web technologies and has been developed in close collaboration with molecular biologists and technicians regularly designing primers. It focuses on the task at hand, and hides detailed settings from the user until these are needed. We also added functionality to automate specific tasks like designing primers for cloning or step-wise sequencing. Settings and designed primer sequences can be stored locally for later use. Primer3Plus supports a range of common sequence formats, such as FASTA. Finally, primers selected by Primer3Plus can be sent to an order form, allowing tight integration into laboratory ordering systems. Moreover, the open architecture of Primer3Plus allows easy expansion or integration of external software packages. The Primer3Plus Perl source code is available under GPL license from SourceForge. Primer3Plus is available at http://www.bioinformatics.nl/primer3plus.
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            GenBank

            GenBank (R) is a comprehensive database that contains publicly available nucleotide sequences for more than 260 000 named organisms, obtained primarily through submissions from individual laboratories and batch submissions from large-scale sequencing projects. Most submissions are made using the web-based BankIt or standalone Sequin programs and accession numbers are assigned by GenBank staff upon receipt. Daily data exchange with the European Molecular Biology Laboratory Nucleotide Sequence Database in Europe and the DNA Data Bank of Japan ensures worldwide coverage. GenBank is accessible through NCBI's retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome, mapping, protein structure and domain information, and the biomedical journal literature via PubMed. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. To access GenBank and its related retrieval and analysis services, begin at the NCBI Homepage: www.ncbi.nlm.nih.gov
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              The German bee monitoring project: a long term study to understand periodically high winter losses of honey bee colonies

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                7 June 2011
                : 6
                : 6
                : e20656
                Affiliations
                [1 ]Howard Hughes Medical Institute, Bethesda, Maryland, United State of America
                [2 ]Departments of Medicine, Biochemistry and Biophysics, and Microbiology, University of California San Francisco, San Francisco, California, United States of America
                [3 ]Department of Microbiology and Immunology, University of California San Francisco, San Francisco, California, United States of America
                [4 ]Sandler Center for Drug Discovery and Department of Pathology, University of California San Francisco, San Francisco, California, United States of America
                Martin-Luther-Universität Halle, Germany
                Author notes

                Conceived and designed the experiments: JLDR MLF CR. Performed the experiments: CR MLF JCE. Analyzed the data: CR MLF JGR JLDR. Contributed reagents/materials/analysis tools: JGR DG RA JLDR. Wrote the paper: MLF CR RA DG JLDR.

                Article
                PONE-D-11-05961
                10.1371/journal.pone.0020656
                3110205
                21687739
                98f0c418-d39f-4def-89de-328428fee6af
                Runckel et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 30 March 2011
                : 6 May 2011
                Page count
                Pages: 18
                Categories
                Research Article
                Agriculture
                Animal Management
                Biology
                Genomics
                Metagenomics
                Microbiology
                Virology
                Viral Classification
                RNA viruses
                Viral Genera Unassigned to a Family
                Bacteriology
                Microbial Pathogens
                Parasitology
                Veterinary Science
                Veterinary Diseases
                Veterinary Bacteriology
                Veterinary Parasitology
                Veterinary Virology
                Veterinary Epidemiology
                Veterinary Microbiology
                Veterinary Pathology

                Uncategorized
                Uncategorized

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