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EvolMarkers: A database for mining exon and intron markers for evolution, ecology and conservation studies

机译:EvolMarkers:一个用于挖掘外显子和内含子标记的数据库,用于进化,生态和保护研究

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Recent innovations in next-generation sequencing have lowered the cost of genome projects. Nevertheless, sequencing entire genomes for all representatives in a study remains expensive and unnecessary for most studies in ecology, evolution and conservation. It is still more cost-effective and efficient to target and sequence single-copy nuclear gene markers for such studies. Many tools have been developed for identifying nuclear markers, but most of these have focused on particular taxonomic groups. We have built a searchable database, EvolMarkers, for developing single-copy coding sequence (CDS) and exon-primed-intron-crossing (EPIC) markers that is designed to work across a broad range of phylogenetic divergences. The database is made up of single-copy CDS derived from BLAST searches of a variety of metazoan genomes. Users can search the database for different types of markers (CDS or EPIC) that are common to different sets of input species with different divergence characteristics. EvolMarkers can be applied to any taxonomic group for which genome data are available for two or more species. We included 82 genomes in the first version of EvolMarkers and have found the methods to be effective across Placozoa, Cnidaria, Arthropod, Nematoda, Annelida, Mollusca, Echinodermata, Hemichordata, Chordata and plants. We demonstrate the effectiveness of searching for CDS markers within annelids and show how to find potentially useful intronic markers within the lizard Anolis.
机译:下一代测序的最新创新降低了基因组计划的成本。然而,对一项研究中所有代表的全基因组测序仍然是昂贵的,对于大多数生态,进化和保存研究而言,这是不必要的。靶向和测序单拷贝核基因标记物用于此类研究仍更具成本效益和效率。已经开发了许多用于识别核标记物的工具,但是其中大多数工具都集中在特定的生物分类群上。我们已经建立了一个可搜索的数据库EvolMarkers,用于开发单拷贝编码序列(CDS)和外显子引物-内含子杂交(EPIC)标记,旨在跨多种系统发育差异工作。该数据库由源自多种后生动物基因组的BLAST搜索的单拷贝CDS组成。用户可以在数据库中搜索不同类型的标记(CDS或EPIC),这些标记对于具有不同发散特性的不同输入物种集是通用的。 EvolMarkers可以应用于可用于两个或多个物种的基因组数据的任何分类学组。我们在第一版EvolMarkers中纳入了82个基因组,并发现该方法可有效用于Placozoa,Cnidaria,节肢动物,Nematoda,Annelida,软体动物,Echinodermata,Hemichordata,Chordata和植物。我们展示了在圆环虫内搜索CDS标记的有效性,并展示了如何在蜥蜴Anolis内找到潜在有用的内含子标记。

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