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                "bioproject": "PRJEB31429",
                "samples-count": 4,
                "accession": "MGYS00005463",
                "is-private": false,
                "last-update": "2020-05-22T08:53:19",
                "secondary-accession": "ERP113989",
                "centre-name": "EMG",
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                "study-abstract": "The Third Party Annotation (TPA) assembly was derived from the primary whole genome shotgun (WGS) data set: PRJNA407112.  This project includes samples from the following biomes: root:Host-associated:Insecta.",
                "study-name": "EMG produced TPA metagenomics assembly of the PRJNA407112 data set (Investigating the viral ecology of global bee communities with high-throughput metagenomics).",
                "data-origination": "SUBMITTED"
            },
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        {
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            "id": "MGYS00005464",
            "attributes": {
                "bioproject": "PRJNA407112",
                "samples-count": 3,
                "accession": "MGYS00005464",
                "is-private": false,
                "last-update": "2020-05-22T03:34:31",
                "secondary-accession": "SRP117625",
                "centre-name": "Columbia",
                "public-release-date": null,
                "study-abstract": "The ecology of bee viruses is complex, as viruses are readily shared among bee species and plants. However, our understanding of bee viral communities is primarily derived from studies of North America and European Apis mellifera honey bee populations. Here, we develop a novel pipeline to rapidly, inexpensively, and robustly screen for bee viruses. This pipeline includes purification of encapsulated RNA/DNA viruses, sequence-independent amplification, high throughput sequencing, integrated assembly of contigs, and screening through a series of filters to identify contigs specifically corresponding to viral sequences. We evaluated samples of honey bees and co-foraging non-Apis bee species (12 bee species in total) from 9 countries and 5 continents. We identified sequences corresponding to (+)ssRNA, (-)ssRNA, dsRNA, and ssDNA viruses. Overall, 127 contigs corresponding to novel viruses (previously not observed in bees), with 29 represented by >0.1% of the reads in a given sample. These 29 contigs corresponded to 9 viral families, including 6 viral families that have not been previously observed in bees. These viruses and viral families were distributed across multiple regions and species. This study provides a robust pipeline for analysis of insect viruses, and greatly expands our understanding of the diversity of viruses found in bee communities.",
                "study-name": "Investigating the viral ecology of global bee communities with high-throughput metagenomics",
                "data-origination": "HARVESTED"
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