Garnica Sigisfredo, Schön Max Emil, Abarenkov Kessy, Riess Kai, Liimatainen Kare, Niskanen Tuula, Dima Bálint, Soop Karl, Frøslev Tobias Guldberg, Jeppesen Thomas Stjernegaard, Peintner Ursula, Kuhnert-Finkernagel Regina, Brandrud Tor Erik, Saar Günter, Oertel Bernhard, Ammirati Joseph F
Institute of Evolution and Ecology, Plant Evolutionary Ecology, University of Tübingen, Auf der Morgenstelle 5, D-72076 Tübingen, Germany
Institute of Evolution and Ecology, Plant Evolutionary Ecology, University of Tübingen, Auf der Morgenstelle 5, D-72076 Tübingen, Germany.
FEMS Microbiol Ecol. 2016 Apr;92(4):fiw045. doi: 10.1093/femsec/fiw045. Epub 2016 Feb 28.
Different distance-based threshold selection approaches were used to assess and compare use of the internal transcribed spacer (ITS) region to distinguish among 901 Cortinarius species represented by >3000 collections. Sources of error associated with genetic markers and selection approaches were explored and evaluated using MOTUs from genus and lineage based-alignments. Our study indicates that 1%-2% more species can be distinguished by using the full-length ITS barcode as compared to either the ITS1 or ITS2 regions alone. Optimal threshold values for different picking approaches and genetic marker lengths inferred from a subset of species containing major lineages ranged from 97.0% to 99.5% sequence similarity using clustering optimization and UNITE SH, and from 1% to 2% sequence dissimilarity with CROP. Errors for the optimal cutoff ranged from 0% to 70%, and these can be reduced to a maximum of 22% when excluding species lacking a barcode gap. A threshold value of 99% is suitable for distinguishing species in the majority of lineages in the genus using the entire ITS region but only 90% of the species could be identified using just the ITS1 or ITS2 region. Prior identification of species, lacking barcode gaps and their subsequent separate analyses, maximized the accuracy of threshold approaches.
使用了不同的基于距离的阈值选择方法来评估和比较内转录间隔区(ITS)区域在区分由3000多个样本代表的901种丝膜菌属物种中的应用。利用基于属和谱系比对的分子操作分类单元(MOTUs),探索并评估了与遗传标记和选择方法相关的误差来源。我们的研究表明,与单独使用ITS1或ITS2区域相比,使用全长ITS条形码可多区分1%-2%的物种。从包含主要谱系的物种子集中推断出的不同挑选方法和遗传标记长度的最佳阈值,使用聚类优化和UNITE SH时,序列相似性范围为97.0%至99.5%,与CROP相比,序列差异为1%至2%。最佳截断值的误差范围为0%至70%,当排除缺乏条形码间隙的物种时,误差可最大降低至22%。使用整个ITS区域时,99%的阈值适用于区分该属大多数谱系中的物种,但仅使用ITS1或ITS2区域时,只能识别90%的物种。事先识别缺乏条形码间隙的物种并随后进行单独分析,可使阈值方法的准确性最大化。