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PacBio 测序 Glomeromycota rDNA:一种新型扩增子,涵盖所有广泛使用的核糖体条形码区域,及其在丛枝菌根真菌分类学和生态学中的适用性。

PacBio sequencing of Glomeromycota rDNA: a novel amplicon covering all widely used ribosomal barcoding regions and its applicability in taxonomy and ecology of arbuscular mycorrhizal fungi.

机构信息

Institute of Botany of the Czech Academy of Sciences, Průhonice, CZ-252 43, Czech Republic.

Faculty of Science, Charles University in Prague, Prague, CZ-128 44, Czech Republic.

出版信息

New Phytol. 2021 Jul;231(1):490-499. doi: 10.1111/nph.17372. Epub 2021 May 1.

Abstract

There is no consensus barcoding region for determination of arbuscular mycorrhizal fungal (AMF) taxa. To overcome this obstacle, we have developed an approach to sequence an AMF marker within the ribosome-encoding operon (rDNA) that covers all three widely applied variable molecular markers. Using a nested PCR approach specific to AMF, we amplified a part (c. 2.5 kb) of the rDNA spanning the majority of the small subunit rRNA (SSU) gene, the complete internal transcribed spacer (ITS) region and a part of the large subunit (LSU) rRNA gene. The PCR products were sequenced on the PacBio platform utilizing Single Molecule Real Time (SMRT) sequencing. Employing this method for selected environmental DNA samples, we were able to describe complex AMF communities consisting of various glomeromycotan lineages. We demonstrate the applicability of this new 2.5 kb approach to provide robust phylogenetic assignment of AMF lineages without known sequences from pure cultures and to consolidate information about AMF taxon distributions coming from three widely used barcoding regions into one integrative dataset.

摘要

对于确定丛枝菌根真菌(AMF)分类群,目前尚无共识的条形码区域。为了克服这一障碍,我们开发了一种方法,即在核糖体编码基因座(rDNA)中对 AMF 标记进行测序,该方法涵盖了三种广泛应用的可变分子标记。我们使用针对 AMF 的嵌套 PCR 方法,扩增了 rDNA 的一部分(约 2.5kb),该部分跨越了小亚基 rRNA(SSU)基因的大部分、完整的内部转录间隔区(ITS)区域和大亚基( LSU) rRNA 基因的一部分。PCR 产物在 PacBio 平台上利用单分子实时(SMRT)测序进行测序。我们采用这种方法对选定的环境 DNA 样本进行分析,成功地描述了由各种球囊霉谱系组成的复杂 AMF 群落。我们证明了这种新的 2.5kb 方法的适用性,它可以在没有纯培养物已知序列的情况下,对 AMF 谱系进行可靠的系统发育分配,并将来自三种广泛使用的条形码区域的有关 AMF 分类群分布的信息整合到一个综合数据集。

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