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引用次数: 0
摘要
我们开发了phyloBARCODER (https://github.com/jun-inoue/phyloBARCODER),这是一种新的网络工具,可以利用元条码技术识别物种水平的短DNA序列。phyloBARCODER根据上传的匿名DNA序列和数据库中的参考序列估算系统发生树。如果没有这样的系统发育背景,其他基于相似性的方法只能通过对查询序列和数据库序列进行配对比较来独立识别同组的物种名称和匿名序列,但需要注意的是,这些序列必须完全匹配或非常接近。通过将元条码序列置于系统发育的背景下,phyloBARCODER 可以准确识别(1)查询序列的物种或分类,以及(2)与同一物种甚至与查询序列的种群相关的匿名序列,并给出清晰准确的解释。第一版 phyloBARCODER 存储了一个包含所有真核生物线粒体基因序列的数据库。此外,通过上传自己的数据库,phyloBARCODER 用户还可以对从本地地理区域获得的序列或非线粒体基因(如 ITS 或 rbcL)序列进行专门的物种鉴定。
phyloBARCODER: A Web Tool for Phylogenetic Classification of Eukaryote Metabarcodes Using Custom Reference Databases.
We developed phyloBARCODER (https://github.com/jun-inoue/phyloBARCODER), a new web tool that can identify short DNA sequences to the species level using metabarcoding. phyloBARCODER estimates phylogenetic trees based on the uploaded anonymous DNA sequences and reference sequences from databases. Without such phylogenetic contexts, alternative, similarity-based methods independently identify species names and anonymous sequences of the same group by pairwise comparisons between queries and database sequences, with the caveat that they must match exactly or very closely. By putting metabarcoding sequences into a phylogenetic context, phyloBARCODER accurately identifies (i) species or classification of query sequences and (ii) anonymous sequences associated with the same species or even with populations of query sequences, with clear and accurate explanations. Version 1 of phyloBARCODER stores a database comprising all eukaryotic mitochondrial gene sequences. Moreover, by uploading their own databases, phyloBARCODER users can conduct species identification specialized for sequences obtained from a local geographic region or those of nonmitochondrial genes, e.g. ITS or rbcL.
期刊介绍:
Molecular Biology and Evolution
Journal Overview:
Publishes research at the interface of molecular (including genomics) and evolutionary biology
Considers manuscripts containing patterns, processes, and predictions at all levels of organization: population, taxonomic, functional, and phenotypic
Interested in fundamental discoveries, new and improved methods, resources, technologies, and theories advancing evolutionary research
Publishes balanced reviews of recent developments in genome evolution and forward-looking perspectives suggesting future directions in molecular evolution applications.