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DNA barcoding analysis of more than 9 000 yeast isolates contributes to quantitative thresholds for yeast species and genera delimitation
Studies in Mycology ( IF 14.1 ) Pub Date : 2016-11-27 , DOI: 10.1016/j.simyco.2016.11.007
D. Vu , M. Groenewald , S. Szöke , G. Cardinali , U. Eberhardt , B. Stielow , M. de Vries , G.J.M. Verkleij , P.W. Crous , T. Boekhout , V. Robert

DNA barcoding is a global initiative for species identification through sequencing of short DNA sequence markers. Sequences of two loci, ITS and LSU, were generated as barcode data for all (ca. 9k) yeast strains included in the CBS collection, originally assigned to ca. 2 000 species. Taxonomic sequence validation turned out to be the most severe bottleneck due to the large volume of generated trace files and lack of reference sequences. We have analysed and validated CBS strains and barcode sequences automatically. Our analysis shows that there were 6 and 9.5 % of CBS yeast species that could not be distinguished by ITS and LSU, respectively. Among them, ∼3 % were indistinguishable by both loci. Except for those species, both loci were successfully resolving yeast species as the grouping of yeast DNA barcodes with the predicted taxonomic thresholds was more than 90 % similar to the grouping with respect to the expected taxon names. The taxonomic thresholds predicted to discriminate yeast species were 98.41 % for ITS and 99.51 % for LSU. To discriminate current yeast genera, thresholds were 96.31 % for ITS and 97.11 % for LSU. Using ITS and LSU barcodes, we were also able to show that the recent reclassifications of basidiomycetous yeasts in 2015 have made a significant improvement for the generic taxonomy of those organisms. The barcodes of 4 730 (51 %) CBS yeast strains of 1 351 (80 %) accepted yeast species that were manually validated have been released to GenBank and the CBS-KNAW website as reference sequences for yeast identification.



中文翻译:

超过9000种酵母菌的DNA条形码分析有助于确定酵母菌种和属的定量阈值

DNA条形码技术是通过对短DNA序列标记物进行测序来进行物种鉴定的一项全球计划。产生了两个基因座ITS和LSU的序列,作为CBS集合中包括的所有(约9k)酵母菌株的条形码数据,最初分配给ca。2000种。由于生成的跟踪文件数量庞大且缺乏参考序列,分类序列验证已成为最严重的瓶颈。我们已经自动分析和验证了CBS菌株和条形码序列。我们的分析表明,不能通过ITS和LSU区分的CBS酵母菌种分别为6%和9.5%。其中,〜3%的两个位点无法区分。除了那些物种,这两个基因座都成功地解析了酵母菌种,因为具有预测分类学阈值的酵母DNA条形码分组与预期分类群名称的分组相似,超过90%。预测可区分酵母种类的分类阈值对于ITS是98.41%,对于LSU是99.51%。为了区分当前的酵母属,ITS的阈值为96.31%,LSU的阈值为97.11%。使用ITS和LSU条形码,我们还能够显示出2015年对担子菌酵母的最近重新分类对这些生物的通用分类学做出了重大改进。手动验证的1 351种(80%)可接受酵母物种的4 730种(51%)CBS酵母菌株的条形码已发布到GenBank和CBS-KNAW网站,作为酵母鉴定的参考序列。

更新日期:2016-11-27
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