Fawley Marvin W, Fawley Karen P
Division of Natural Sciences and Mathematics, University of the Ozarks, Clarksville, AR 72830, USA.
J Appl Phycol. 2020 Oct;32(5):2699-2709. doi: 10.1007/s10811-020-02190-5. Epub 2020 Jul 15.
Proper identification and documentation of microalgae is often lacking in publications of applied phycology, algal physiology and biochemistry. Identification of many eukaryotic microalgae can be very daunting to the non-specialist. We present a systematic process for identifying eukaryotic microalgae using morphological evidence and DNA sequence analysis. Our intent was to provide an identification method that could be used by non-taxonomists, but which is grounded in the current techniques used by algal taxonomists. Central to the identification is database searches with DNA sequences of appropriate loci. We provide usable criteria for identification at the genus or species level, depending on the availability of sequence data in curated databases and repositories. Particular attention is paid to dealing with possible misidentifications in DNA databases and utilizing current taxonomy.
在应用藻类学、藻类生理学和生物化学的出版物中,常常缺乏对微藻的正确鉴定和记录。对于非专业人员来说,鉴定许多真核微藻可能非常困难。我们提出了一个利用形态学证据和DNA序列分析来鉴定真核微藻的系统方法。我们的目的是提供一种非分类学家也能使用的鉴定方法,但该方法基于藻类分类学家目前使用的技术。鉴定的核心是使用适当基因座的DNA序列进行数据库搜索。我们根据 curated 数据库和储存库中序列数据的可用性,提供了在属或种水平上进行鉴定的可用标准。特别关注处理DNA数据库中可能的错误鉴定以及利用当前的分类学。