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为更好地理解意大利蜜蜂和狄斯瓦螨的微生物群:引入“phyloh”作为一种新型系统发育多样性分析工具。

Towards a better understanding of Apis mellifera and Varroa destructor microbiomes: introducing 'phyloh' as a novel phylogenetic diversity analysis tool.

作者信息

Sandionigi A, Vicario S, Prosdocimi E M, Galimberti A, Ferri E, Bruno A, Balech B, Mezzasalma V, Casiraghi M

机构信息

ZooPlantLab, Department of Biotechnology and Biosciences, University of Milan-Bicocca, Piazza della Scienza 2, 20126, Milan, Italy.

Institute of Biomedical and Technologies (ITB), National Research Council (CNR), Via Giovanni Amendola, 122/D, 70126, Bari, Italy.

出版信息

Mol Ecol Resour. 2015 Jul;15(4):697-710. doi: 10.1111/1755-0998.12341. Epub 2014 Nov 19.

Abstract

The study of diversity in biological communities is an intriguing field. Huge amount of data are nowadays available (provided by the innovative DNA sequencing techniques), and management, analysis and display of results are not trivial. Here, we propose for the first time the use of phylogenetic entropy as a measure of bacterial diversity in studies of microbial community structure. We then compared our new method (i.e. the web tool phyloh) for partitioning phylogenetic diversity with the traditional approach in diversity analyses of bacteria communities. We tested phyloh to characterize microbiome in the honeybee (Apis mellifera, Insecta: Hymenoptera) and its parasitic mite varroa (Varroa destructor, Arachnida: Parasitiformes). The rationale is that the comparative analysis of honeybee and varroa microbiomes could open new perspectives concerning the role of the parasites on honeybee colonies health. Our results showed a dramatic change of the honeybee microbiome when varroa occurs, suggesting that this parasite is able to influence host microbiome. Among the different approaches used, only the entropy method, in conjunction with phylogenetic constraint as implemented in phyloh, was able to discriminate varroa microbiome from that of parasitized honeybees. In conclusion, we foresee that the use of phylogenetic entropy could become a new standard in the analyses of community structure, in particular to prove the contribution of each biological entity to the overall diversity.

摘要

生物群落多样性研究是一个引人入胜的领域。如今,(借助创新的DNA测序技术)可获取大量数据,而结果的管理、分析和展示并非易事。在此,我们首次提议在微生物群落结构研究中使用系统发育熵作为衡量细菌多样性的指标。然后,我们将用于划分系统发育多样性的新方法(即网络工具phyloh)与细菌群落多样性分析中的传统方法进行了比较。我们测试了phyloh,以表征蜜蜂(西方蜜蜂,昆虫纲:膜翅目)及其寄生螨瓦螨(狄斯瓦螨,蛛形纲:寄螨目)的微生物组。基本原理是,对蜜蜂和瓦螨微生物组的比较分析可能会为寄生虫对蜜蜂蜂群健康的作用带来新的见解。我们的结果表明,当瓦螨出现时,蜜蜂微生物组会发生巨大变化,这表明这种寄生虫能够影响宿主微生物组。在所使用的不同方法中,只有熵方法与phyloh中实施的系统发育约束相结合,能够将瓦螨微生物组与被寄生蜜蜂的微生物组区分开来。总之,我们预计系统发育熵的使用可能会成为群落结构分析的新标准,特别是用于证明每个生物实体对总体多样性的贡献。

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