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DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses

机译:DeSignate:检测基因序列比对中的签名字符以进行分类分类诊断

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摘要

Historically, taxonomic diagnoses are restricted to morphological characters distinguishing a particular taxon (the query group) from related taxa (the reference group). Best practice for taxonomic studies suggests an integrative approach combining morphological, molecular, ecological, and physiological data [ – ]. Previous suggestions for applying divergence cut-off values of gene sequences to discriminate and define taxa (threshold-based approach), however, are based on the overall dissimilarity and are not character-based, i.e., do not use distinct molecular characters for separation and characterization [ , ]. In the character-based approach, each position of an alignment represents a molecular character which may adopt different states in gene sequence data (e.g., nucleotides and deletions). Diagnostic molecular characters are included in taxon diagnoses (e.g., of protists [ ] or animals [ , – ]). However, data from (potentially) related taxa for comparison with the type species are often lacking or difficult to obtain [ ]. Furthermore, available data is frequently not added consistently to formal diagnoses [ , ], due to problems in, for instance, the definition of diagnostic molecular characters and the designation of their positions, as well as the lack of suitable tools. For a standardized designation of the position of diagnostic molecular characters in taxon diagnoses, a reference sequence alignment and/or a reference sequence are recommended, facilitating comparability and reproducibility [ ].
机译:从历史上看,分类学诊断仅限于将特定分类群(查询组)与相关分类群(参考组)区分开的形态特征。分类学研究的最佳实践建议将形态学,分子,生态学和生理学数据结合起来的综合方法[–]。但是,先前关于使用基因序列的差异临界值来区分和定义分类单元的建议(基于阈值的方法)是基于总体差异,而不是基于特征的,即,不要使用不同的分子特征进行分离和鉴定。表征[,]。在基于字符的方法中,比对的每个位置代表分子特征,其可以在基因序列数据中采用不同的状态(例如,核苷酸和缺失)。诊断分子特征包括在分类群诊断中(例如,原生生物[]或动物[,–])。但是,通常缺乏或很难获得(可能)相关分类单元与类型物种进行比较的数据[]。此外,由于例如诊断性分子特征的定义和其位置的指定中的问题,以及缺乏合适的工具,经常无法将可用数据始终一致地添加到形式诊断中。对于分类分子诊断中诊断分子特征的位置的标准化指定,建议使用参考序列比对和/或参考序列,以促进可比性和可重复性[]。

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