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原生生物群落分析:大规模分子采样的主要发现

Protistan community analysis: key findings of a large-scale molecular sampling.

作者信息

Grossmann Lars, Jensen Manfred, Heider Dominik, Jost Steffen, Glücksman Edvard, Hartikainen Hanna, Mahamdallie Shazia S, Gardner Michelle, Hoffmann Daniel, Bass David, Boenigk Jens

机构信息

Biodiversity Department, Centre for Water and Environmental Research, University of Duisburg-Essen, Essen, Germany.

Department of Bioinformatics, Straubing Centre of Science, Straubing, Germany.

出版信息

ISME J. 2016 Sep;10(9):2269-79. doi: 10.1038/ismej.2016.10. Epub 2016 Feb 9.

Abstract

Protists are perhaps the most lineage-rich of microbial lifeforms, but remain largely unknown. High-throughput sequencing technologies provide opportunities to screen whole habitats in depth and enable detailed comparisons of different habitats to measure, compare and map protistan diversity. Such comparisons are often limited by low sample numbers within single studies and a lack of standardisation between studies. Here, we analysed 232 samples from 10 sampling campaigns using a standardised PCR protocol and bioinformatics pipeline. We show that protistan community patterns are highly consistent within habitat types and geographic regions, provided that sample processing is standardised. Community profiles are only weakly affected by fluctuations of the abundances of the most abundant taxa and, therefore, provide a sound basis for habitat comparison beyond random short-term fluctuations in the community composition. Further, we provide evidence that distribution patterns are not solely resulting from random processes. Distinct habitat types and distinct taxonomic groups are dominated by taxa with distinct distribution patterns that reflect their ecology with respect to dispersal and habitat colonisation. However, there is no systematic shift of the distribution pattern with taxon abundance.

摘要

原生生物可能是微生物生命形式中谱系最为丰富的,但在很大程度上仍不为人所知。高通量测序技术为深入筛选整个栖息地提供了机会,并能对不同栖息地进行详细比较,以测量、比较和绘制原生生物的多样性。这类比较往往受到单个研究中样本数量较少以及研究之间缺乏标准化的限制。在此,我们使用标准化的PCR方案和生物信息学流程分析了来自10次采样活动的232个样本。我们表明,只要样本处理标准化,原生生物群落模式在栖息地类型和地理区域内高度一致。群落概况仅受到最丰富类群丰度波动的微弱影响,因此,为超越群落组成中随机短期波动的栖息地比较提供了可靠依据。此外,我们提供的证据表明,分布模式并非完全由随机过程导致。不同的栖息地类型和不同的分类群由具有不同分布模式的类群主导,这些分布模式反映了它们在扩散和栖息地定殖方面的生态学特征。然而,分布模式并没有随着分类群丰度出现系统性变化。

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