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SMURF:真菌次生代谢物簇的基因组图谱绘制。

SMURF: Genomic mapping of fungal secondary metabolite clusters.

机构信息

Smurfit Institute of Genetics, Trinity College, Dublin, Ireland.

出版信息

Fungal Genet Biol. 2010 Sep;47(9):736-41. doi: 10.1016/j.fgb.2010.06.003. Epub 2010 Jun 8.

Abstract

Fungi produce an impressive array of secondary metabolites (SMs) including mycotoxins, antibiotics and pharmaceuticals. The genes responsible for their biosynthesis, export, and transcriptional regulation are often found in contiguous gene clusters. To facilitate annotation of these clusters in sequenced fungal genomes, we developed the web-based software SMURF (www.jcvi.org/smurf/) to systematically predict clustered SM genes based on their genomic context and domain content. We applied SMURF to catalog putative clusters in 27 publicly available fungal genomes. Comparison with genetically characterized clusters from six fungal species showed that SMURF accurately recovered all clusters and detected additional potential clusters. Subsequent comparative analysis revealed the striking biosynthetic capacity and variability of the fungal SM pathways and the correlation between unicellularity and the absence of SMs. Further genetics studies are needed to experimentally confirm these clusters.

摘要

真菌产生了令人印象深刻的一系列次生代谢产物(SMs),包括真菌毒素、抗生素和药物。负责它们生物合成、输出和转录调控的基因通常存在于连续的基因簇中。为了便于在测序真菌基因组中注释这些簇,我们开发了基于网络的软件 SMURF(www.jcvi.org/smurf/),该软件基于其基因组背景和结构域内容系统地预测簇状 SM 基因。我们将 SMURF 应用于 27 个公开可用的真菌基因组中的假定簇的编目。与来自六种真菌物种的遗传特征簇的比较表明,SMURF 准确地回收了所有簇,并检测到了其他潜在的簇。随后的比较分析显示了真菌 SM 途径的惊人的生物合成能力和可变性,以及单细胞性和缺乏 SMs 之间的相关性。需要进一步的遗传学研究来通过实验证实这些簇。

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