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EvolClustDB:利用进化上保守的基因组邻域探索真核生物基因簇

EvolClustDB: Exploring Eukaryotic Gene Clusters with Evolutionarily Conserved Genomic Neighbourhoods.

作者信息

Marcet-Houben Marina, Collado-Cala Ismael, Fuentes-Palacios Diego, Gómez Alicia D, Molina Manuel, Garisoain-Zafra Andrés, Chorostecki Uciel, Gabaldón Toni

机构信息

Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain.

Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain; Centro de Investigación Biomédica En Red de Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain.

出版信息

J Mol Biol. 2023 Jul 15;435(14):168013. doi: 10.1016/j.jmb.2023.168013. Epub 2023 Feb 16.

Abstract

Conservation of gene neighbourhood over evolutionary distances is generally indicative of shared regulation or functional association among genes. This concept has been broadly exploited in prokaryotes but its use on eukaryotic genomes has been limited to specific functional classes, such as biosynthetic gene clusters. We here used an evolutionary-based gene cluster discovery algorithm (EvolClust) to pre-compute evolutionarily conserved gene neighbourhoods, which can be searched, browsed and downloaded in EvolClustDB. We inferred ∼35,000 cluster families in 882 different species in genome comparisons of five taxonomically broad clades: Fungi, Plants, Metazoans, Insects and Protists. EvolClustDB allows browsing through the cluster families, as well as searching by protein, species, identifier or sequence. Visualization allows inspecting gene order per species in a phylogenetic context, so that relevant evolutionary events such as gain, loss or transfer, can be inferred. EvolClustDB is freely available, without registration, at http://evolclustdb.org/.

摘要

在进化距离上基因邻域的保守性通常表明基因之间存在共同调控或功能关联。这一概念在原核生物中已被广泛应用,但其在真核生物基因组中的应用仅限于特定功能类别,如生物合成基因簇。我们在此使用了一种基于进化的基因簇发现算法(EvolClust)来预先计算进化上保守的基因邻域,这些邻域可在EvolClustDB中进行搜索、浏览和下载。在五个分类广泛的进化枝(真菌、植物、后生动物、昆虫和原生生物)的基因组比较中,我们在882个不同物种中推断出约35000个簇家族。EvolClustDB允许浏览簇家族,以及通过蛋白质、物种、标识符或序列进行搜索。可视化功能允许在系统发育背景下检查每个物种的基因顺序,从而推断出诸如获得、丢失或转移等相关进化事件。EvolClustDB可在http://evolclustdb.org/免费获取,无需注册。

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