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采用焦磷酸测序-桑格测序联合方法,揭示了硫泉(俄克拉荷马州佐德莱顿泉)中新型高等级系统发育谱系。

Novel high-rank phylogenetic lineages within a sulfur spring (Zodletone Spring, Oklahoma), revealed using a combined pyrosequencing-sanger approach.

机构信息

Department of Microbiology and Molecular Genetics, Oklahoma State University, Stillwater, Oklahoma, USA.

出版信息

Appl Environ Microbiol. 2012 Apr;78(8):2677-88. doi: 10.1128/AEM.00002-12. Epub 2012 Feb 3.

Abstract

The utilization of high-throughput sequencing technologies in 16S rRNA gene-based diversity surveys has indicated that within most ecosystems, a significant fraction of the community could not be assigned to known microbial phyla. Accurate determination of the phylogenetic affiliation of such sequences is difficult due to the short-read-length output of currently available high-throughput technologies. This fraction could harbor multiple novel phylogenetic lineages that have so far escaped detection. Here we describe our efforts in accurate assessment of the novelty and phylogenetic affiliation of selected unclassified lineages within a pyrosequencing data set generated from source sediments of Zodletone Spring, a sulfide- and sulfur-rich spring in southwestern Oklahoma. Lineage-specific forward primers were designed for 78 putatively novel lineages identified within the pyrosequencing data set, and representative nearly full-length small-subunit (SSU) rRNA gene sequences were obtained by pairing those primers with reverse universal bacterial primers. Of the 78 lineages tested, amplifiable products were obtained for 52, 32 of which had at least one nearly full-length sequence that was representative of the lineage targeted. Analysis of phylogenetic affiliation of the obtained Sanger sequences identified 5 novel candidate phyla and 10 novel candidate classes (within Fibrobacteres, Planctomycetes, and candidate phyla BRC1, GN12, TM6, TM7, LD1, WS2, and GN06) in the data set, in addition to multiple novel orders and families. The discovery of multiple novel phyla within a pilot study of a single ecosystem clearly shows the potential of the approach in identifying novel diversities within the rare biosphere.

摘要

利用高通量测序技术进行 16S rRNA 基因多样性调查表明,在大多数生态系统中,很大一部分群落无法归属于已知的微生物门。由于目前可用的高通量技术输出的短读长,准确确定这些序列的系统发育归属是困难的。这部分可能包含多个尚未被发现的新的系统发育谱系。在这里,我们描述了我们在准确评估从俄克拉荷马州西南部富含硫和硫化物的 Zodletone 泉源沉积物产生的焦磷酸测序数据集中选定未分类谱系的新颖性和系统发育归属的努力。为焦磷酸测序数据集中鉴定的 78 个假定新谱系设计了谱系特异性正向引物,并通过将这些引物与反向通用细菌引物配对,获得了代表这些谱系的代表性近全长小亚基(SSU)rRNA 基因序列。在所测试的 78 个谱系中,有 52 个可扩增产物,其中 32 个至少有一个近全长序列代表了目标谱系。对获得的 Sanger 序列的系统发育归属分析确定了数据集中的 5 个新候选门和 10 个新候选纲(在纤维杆菌门、盘状菌门和候选门 BRC1、GN12、TM6、TM7、LD1、WS2 和 GN06 内),以及多个新的目和科。在对单个生态系统的初步研究中发现了多个新的门,这清楚地表明了该方法在稀有生物圈中识别新多样性的潜力。

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