Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.
PLoS One. 2011 Apr 21;6(4):e19039. doi: 10.1371/journal.pone.0019039.
An abundance of novel fungal lineages have been indicated by DNA sequencing of the nuclear ribosomal ITS region from environmental samples such as soil and wood. Although phylogenetic analysis of these novel lineages is a key component of unveiling the structure and diversity of complex communities, such analyses are rare for environmental ITS data due to the difficulties of aligning this locus across significantly divergent taxa. One potential approach to this issue is simultaneous alignment and tree estimation. We targeted divergent ITS sequences of the earth tongue fungi (Geoglossomycetes), a basal class in the Ascomycota, to assess the performance of SATé, recent software that combines progressive alignment and tree building. We found that SATé performed well in generating high-quality alignments and in accurately estimating the phylogeny of earth tongue fungi. Drawing from a data set of 300 sequences of earth tongues and progressively more distant fungal lineages, 30 insufficiently identified ITS sequences from the public sequence databases were assigned to the Geoglossomycetes. The association between earth tongues and plants has been hypothesized for a long time, but hard evidence is yet to be collected. The ITS phylogeny showed that four ectomycorrhizal isolates shared a clade with Geoglossum but not with Trichoglossum earth tongues, pointing to the significant potential inherent to ecological data mining of environmental samples. Environmental sampling holds the key to many focal questions in mycology, and simultaneous alignment and tree estimation, as performed by SATé, can be a highly efficient companion in that pursuit.
大量新的真菌谱系已经通过对土壤和木材等环境样本的核核糖体 ITS 区的 DNA 测序表明。虽然对这些新谱系的系统发育分析是揭示复杂群落结构和多样性的关键组成部分,但由于在跨越显著不同分类群的这个基因座进行对齐存在困难,因此对于环境 ITS 数据来说,这种分析很少见。解决这个问题的一种潜在方法是同时对齐和树估计。我们针对地球舌真菌(Geoglossomycetes)的 divergen ITS 序列进行了靶向研究,地球舌真菌是子囊菌门中的一个基础类群,以评估最近的 SATé 软件的性能,该软件结合了渐进式对齐和树构建。我们发现 SATé 在生成高质量的对齐和准确估计地球舌真菌的系统发育方面表现良好。从地球舌和更遥远的真菌谱系的 300 个序列数据集,以及从公共序列数据库中提取的 30 个未充分鉴定的 ITS 序列中,有 30 个被分配给了 Geoglossomycetes。地球舌和植物之间的联系长期以来一直被假设,但尚未收集到确凿的证据。ITS 系统发育表明,四个外生菌根分离物与 Geoglossum 共享一个分支,但与 Trichoglossum 地球舌不共享,这表明从环境样本中进行生态数据挖掘具有重要的潜在价值。环境采样是解决真菌学中许多焦点问题的关键,而 SATé 执行的同时对齐和树估计可以成为该领域的高效助手。