SH1040569.10FU

UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.

UNITE数据库为基于DNA的物种假说（Species Hypotheses，简称SH）提供了统一的处理框架，可用于此类假说的界定、识别、交流与实际应用。国际核酸序列数据库中的所有真菌内转录间隔区（Internal Transcribed Spacer，简称ITS）序列，均通过应用一组动态距离阈值（<0.5%~3.0%）聚类至近似物种水平。所有物种假说均以数字对象标识符（Digital Object Identifier，简称DOI）的形式被赋予唯一且稳定的名称，其分类学与生态学注释信息通过分布式的网络第三方注释工作完成验证。通过整合该物种假说下所有序列的鉴定结果，研究人员尽可能将SH与对应的分类单元名称及其所属的分类层级（门、纲、目等）进行关联。每条此类SH均会选取一条经自动或人工标注的序列作为代表序列。这些代表序列已通过（https://unite.ut.ee/repository.php）对外发布，可供科研界用于本地序列相似性搜索、下一代测序分析流程等场景。随着公共真菌ITS序列数量的持续增长，该系统与配套数据库将自动进行更新。