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新型条码引物可高效检索高通量环境多样性调查中的原生动物序列,重点是全球生物土壤结皮。

New barcoded primers for efficient retrieval of cercozoan sequences in high-throughput environmental diversity surveys, with emphasis on worldwide biological soil crusts.

机构信息

Institute of Zoology, Terrestrial Ecology, Cluster of Excellence in Plant Sciences, University of Cologne, Cologne, Germany.

Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland.

出版信息

Mol Ecol Resour. 2018 Mar;18(2):229-239. doi: 10.1111/1755-0998.12729. Epub 2017 Nov 20.

Abstract

We describe the performance of a new metabarcoding approach to investigate the environmental diversity of a prominent group of widespread unicellular organisms, the Cercozoa. Cercozoa is an immensely large group of protists, and although it may dominate in soil and aquatic ecosystems, its environmental diversity remains undersampled. We designed PCR primers targeting the hypervariable region V4 of the small subunit ribosomal RNA (SSU or 18S) gene, which is the recommended barcode marker for Cercozoa. The length of the amplified fragment (c. 350 bp) is suitable for Illumina MiSeq, the most cost-effective platform for molecular environmental surveys. We provide barcoded primers, an economical alternative to multiple libraries for multiplex sequencing of over a hundred samples. In silico, our primers matched 68% of the cercozoan sequences of the reference database and performed better than previously proposed new-generation sequencing primers. In mountain grassland soils and in biological soil crusts from a variety of climatic regions, we were able to detect cercozoan sequences encompassing nearly the whole range of the phylum. We obtained 901 operational taxonomic units (OTUs) at 97% similarity threshold from 26 samples, with c. 50,000 sequences per site, and only 8% of noncercozoan sequences. We could report a further increase in the diversity of Cercozoa, as only 43% of the OTUs were 97%-100% similar to any known sequence. Our study thus provides an advanced tool for cercozoan metabarcoding and to investigate their diversity and distribution in the environment.

摘要

我们描述了一种新的宏条形码方法的性能,该方法用于研究广泛存在的单细胞生物—— Cercozoa 的环境多样性。Cercozoa 是一个非常庞大的原生生物群体,尽管它可能在土壤和水生生态系统中占主导地位,但它的环境多样性仍然被低估了。我们设计了针对小亚基核糖体 RNA(SSU 或 18S)基因高变区 V4 的 PCR 引物,这是 Cercozoa 的推荐条形码标记。扩增片段的长度(约 350bp)适合于 Illumina MiSeq,这是分子环境调查最具成本效益的平台。我们提供了带有条形码的引物,这是一种经济的替代方案,可以对超过一百个样本进行多重文库的多路复用测序。在计算机模拟中,我们的引物与参考数据库中的 68%的 Cercozoa 序列匹配,并且性能优于先前提出的新一代测序引物。在山地草原土壤和各种气候区的生物土壤结皮中,我们能够检测到涵盖整个门范围的 Cercozoa 序列。我们从 26 个样本中获得了近 901 个在 97%相似性阈值下的分类操作单元(OTUs),每个样本有大约 50000 个序列,且仅有 8%的非 Cercozoa 序列。我们可以报告 Cercozoa 的多样性进一步增加,因为只有 43%的 OTUs 与任何已知序列的相似度为 97%-100%。因此,我们的研究为 Cercozoa 的宏条形码研究以及调查它们在环境中的多样性和分布提供了一种先进的工具。

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