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定义超低生物量生物气溶胶分析的实验参数。

Experimental parameters defining ultra-low biomass bioaerosol analysis.

机构信息

Singapore Centre for Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore, Singapore.

Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-590, Brazil.

出版信息

NPJ Biofilms Microbiomes. 2021 Apr 16;7(1):37. doi: 10.1038/s41522-021-00209-4.

Abstract

Investigation of the microbial ecology of terrestrial, aquatic and atmospheric ecosystems requires specific sampling and analytical technologies, owing to vastly different biomass densities typically encountered. In particular, the ultra-low biomass nature of air presents an inherent analytical challenge that is confounded by temporal fluctuations in community structure. Our ultra-low biomass pipeline advances the field of bioaerosol research by significantly reducing sampling times from days/weeks/months to minutes/hours, while maintaining the ability to perform species-level identification through direct metagenomic sequencing. The study further addresses all experimental factors contributing to analysis outcome, such as amassment, storage and extraction, as well as factors that impact on nucleic acid analysis. Quantity and quality of nucleic acid extracts from each optimisation step are evaluated using fluorometry, qPCR and sequencing. Both metagenomics and marker gene amplification-based (16S and ITS) sequencing are assessed with regard to their taxonomic resolution and inter-comparability. The pipeline is robust across a wide range of climatic settings, ranging from arctic to desert to tropical environments. Ultimately, the pipeline can be adapted to environmental settings, such as dust and surfaces, which also require ultra-low biomass analytics.

摘要

调查陆地、水生和大气生态系统的微生物生态需要特定的采样和分析技术,因为通常遇到的生物量密度差异很大。特别是,空气的超低生物量特性带来了固有的分析挑战,而群落结构的时间波动则使情况更加复杂。我们的超低生物量管道通过将采样时间从数天/数周/数月显著缩短到数分钟/数小时,从而推进了生物气溶胶研究领域的发展,同时通过直接宏基因组测序保持了进行物种水平鉴定的能力。该研究进一步解决了所有对分析结果有影响的实验因素,如采集、储存和提取,以及影响核酸分析的因素。使用荧光计、qPCR 和测序评估每个优化步骤的核酸提取物的数量和质量。对宏基因组学和基于标记基因扩增(16S 和 ITS)的测序进行评估,以了解其分类分辨率和可比较性。该管道在从北极到沙漠到热带环境等广泛的气候条件下都具有稳健性。最终,该管道可以适应需要超低生物量分析的环境,如灰尘和表面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9486/8052325/9c6e46b536f9/41522_2021_209_Fig1_HTML.jpg

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