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利用高通量宏基因组学研究全球蜜蜂群落的病毒生态学。

Investigating the viral ecology of global bee communities with high-throughput metagenomics.

机构信息

Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA, USA.

Department of Biology, Pennsylvania State University, University Park, PA, USA.

出版信息

Sci Rep. 2018 Jun 11;8(1):8879. doi: 10.1038/s41598-018-27164-z.

Abstract

Bee viral ecology is a fascinating emerging area of research: viruses exert a range of effects 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 purification of encapsulated RNA/DNA viruses, sequence-independent amplification, high throughput sequencing, integrated assembly of contigs, and filtering to identify contigs specifically corresponding to viral sequences. We identified 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.

摘要

蜜蜂病毒生态学是一个令人着迷的新兴研究领域

病毒对其宿主产生一系列影响,加剧了其他环境胁迫因素的影响,而且重要的是,在一个群落中,很容易在多种蜜蜂物种之间共享。然而,我们对蜜蜂病毒群落的了解是有限的,因为它主要来自于对北美和欧洲的蜜蜂种群的研究。在这里,我们研究了来自 9 个国家、4 个大陆和大洋洲的 11 种其他蜜蜂物种中的病毒。我们开发了一种新颖的、快速且廉价的筛选蜜蜂病毒的方法。该方法包括包被 RNA/DNA 病毒的纯化、无序列依赖性扩增、高通量测序、连续拼接,以及过滤以识别专门对应于病毒序列的拼接。我们鉴定了(+)ssRNA、(-)ssRNA、dsRNA 和 ssDNA 病毒的序列。总的来说,我们发现了 127 个与新型病毒对应的拼接(即在蜜蜂中以前未观察到的病毒),其中 27 个在给定样本中占读取序列的 0.1%以上,7 个拼接包含 RdRp 或复制酶序列,可用于可靠的系统发育分析。这项研究提供了一种用于病毒宏基因组分析的非序列依赖方法,并大大扩展了我们对蜜蜂群落中发现的病毒多样性的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d06/5995813/aba125517532/41598_2018_27164_Fig1_HTML.jpg

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